Compare commits

...

419 Commits

Author SHA1 Message Date
Thomas Breloff f3544dc826 plotlyjs png fix; NEWS update for 0.7.2 2016-06-16 20:58:44 -04:00
Thomas Breloff b0bc68ae8a orientation aliases dir/direction; removed native support for sticks/hline/vline in pyplot; commented out arcdiagram 2016-06-16 17:31:10 -04:00
Thomas Breloff c38e947dc6 animation default file tempname; raised group warning to 100; check for empty vec in axis; use command_idx for slicing; move deletion of smooth outside loop 2016-06-16 10:03:01 -04:00
Thomas Breloff ec826fc8ce moved series_annotations into series recipe processing; change pyplot clf to fig clear 2016-06-16 00:48:35 -04:00
Thomas Breloff e5c4f782a5 anynan isfinite; error on reusing layout 2016-06-15 15:36:36 -04:00
Thomas Breloff a5ddebf44d curves fix 2016-06-15 13:02:31 -04:00
Thomas Breloff 38804898c5 iter_segments and curve series type 2016-06-15 12:52:36 -04:00
Thomas Breloff 2bd67f3519 pyplot 3d line segments 2016-06-15 02:15:51 -04:00
Thomas Breloff c8ed611c9c unicodeplots cleanup: ijulia output fixes, ascii canvas 2016-06-15 01:45:13 -04:00
Thomas Breloff 3d7d8caa82 moved pyplot methods _series_added and _initialize_subplot into the display pipeline 2016-06-14 18:02:44 -04:00
Thomas Breloff f64108523c line_z arg and pyplot implementation 2016-06-14 15:39:21 -04:00
Tom Breloff a7493504ed Merge pull request #334 from jheinen/dev
conserve user defined GR workstation type
2016-06-14 13:31:40 -04:00
Josef Heinen bc5293b5a4 conserve user defined GR workstation type 2016-06-14 18:03:03 +02:00
Thomas Breloff c4bdc5b856 NEWS.md 2016-06-14 00:27:22 -04:00
Thomas Breloff b5b4023056 axis link arg; change those subplot/axis args set in kwlist to apply just to its own subplot; markerstrokealpha matches markeralpha 2016-06-14 00:10:26 -04:00
Thomas Breloff 0e598cc51d resolve relative coords for inset subplots 2016-06-13 17:46:19 -04:00
Thomas Breloff 9fd09924eb _shape_keys for consistent shape ordering 2016-06-13 16:57:26 -04:00
Thomas Breloff 10d218089f working on glvisualize 2016-06-13 16:15:45 -04:00
Thomas Breloff 1ba0d198a7 rename ellipse to circle; cleanup glvisualize 2016-06-13 15:59:51 -04:00
Thomas Breloff c44132d29d merge_with_base_supported updates 2016-06-13 15:45:35 -04:00
Thomas Breloff a018a2c07a series type dependencies and cleanup; bbox anchors in construction; fix for insets 2016-06-13 14:53:28 -04:00
Thomas Breloff 266d2efde5 inset_subplots; GR log axes fix 2016-06-13 12:27:48 -04:00
Thomas Breloff 3b33b054d3 plotly hover and scattergl 2016-06-13 11:04:56 -04:00
Thomas Breloff 1140b51e91 PLOTS_DEFAULTS and removed pyplot finalizer 2016-06-13 09:42:50 -04:00
Thomas Breloff 9d25c8fcd4 added PLOTS_DEFAULTS env var; check isfinite in axis_limits 2016-06-13 09:27:49 -04:00
Thomas Breloff e8ade18d47 code and utils for plotly shapes 2016-06-13 01:45:53 -04:00
Thomas Breloff ed243f4e3e added hover attribute and desc; fixed plotly title location; already_warned check 2016-06-13 00:15:28 -04:00
Thomas Breloff e0af4b7925 pyplot log scale fix; plotly title as annotation, title_location, hover placeholder 2016-06-12 23:48:18 -04:00
Thomas Breloff 80e53adbd8 getting plotly/plotlyjs up to speed 2016-06-12 21:03:11 -04:00
Thomas Breloff 36a29357a3 only widen axis limits for identity scale; closes #326 2016-06-12 20:22:57 -04:00
Thomas Breloff 5bb9aceaac pyplot log scale threshold fix; imgcomp fix to filter out higher versions 2016-06-12 13:06:15 -04:00
Thomas Breloff 02d893b316 big cleanup: changed camelcase to underscores; removed supportedAxes; changed pyplot methods to be py_ which matches gr_/plotly_/etc convention 2016-06-12 12:34:41 -04:00
Thomas Breloff b1850e58f4 gr cleanup commented code; bump version in imgcomp 2016-06-12 11:35:24 -04:00
Thomas Breloff f1e566dddc fix scale aliases 2016-06-12 11:00:42 -04:00
Thomas Breloff 2f60da33b7 changed pyplot log scale to symlog; #326 2016-06-12 10:28:41 -04:00
Thomas Breloff b0456d155a allow nothing for colorbar; gr fixes: marker_z colors, check colorbar arg 2016-06-11 15:55:55 -04:00
Tom Breloff 5f57a48996 Merge pull request #322 from jheinen/dev
Fixed GR output problem
2016-06-11 15:54:00 -04:00
Josef Heinen bc9d137001 Fixed GR output problem 2016-06-11 11:11:57 +02:00
Thomas Breloff 483946787a big GR refactor: axes drawing and cleanup; convert_to_polar and GR polar fill; should_add_to_legend fix; rename get_mod to Base.cycle 2016-06-11 02:03:46 -04:00
Thomas Breloff b165f233a8 animation fix; gr transparency 2016-06-10 16:17:30 -04:00
Thomas Breloff 3b325b2482 pyplot figure finalizer; accept 2-len AVec for limits (#289); sleep/skip/only options in test_examples 2016-06-10 10:04:33 -04:00
Tom Breloff 2dd480a3a6 Merge pull request #313 from jheinen/dev
Improved GR output
2016-06-10 08:56:53 -04:00
Josef Heinen df33ed40d6 Improved GR output
- slightly reduced the nominal marker size
- use character height as line spacing criterion when plotting legends
- use GR surface function for filled contours
- avoid calling GR setwindow/adjust* functions with Inf arguments
- corrected bounding box for legend
2016-06-10 13:39:57 +02:00
Thomas Breloff cf4d78c87c added clims attribute and support it in pyplot 2016-06-10 01:25:34 -04:00
Thomas Breloff 8007d0dd6a smarter cleanup of dicts; layout fixes: split out update_min_padding and added minimum_perimeter logic; check for nonempty axes when linking; add subplot processing and linking when combining plots 2016-06-10 00:16:13 -04:00
Thomas Breloff d7098f77c2 pgfplots display popup 2016-06-09 17:31:06 -04:00
Thomas Breloff 514284e784 pyplot display fixes for #308; setxyz fix; generic png conversion from pdf; pgfplots pdf output 2016-06-09 17:13:16 -04:00
Thomas Breloff 2a3029edb4 add build.jl 2016-06-09 12:08:36 -04:00
Thomas Breloff 45a1ed69d4 removed plotly-latest.min.js and added build.jl which downloads it; fix for quiver_using_hack; working on pyplot display behavior 2016-06-09 11:44:05 -04:00
Thomas Breloff 7248d8d7ce several fixes for type recipes; collect/zmin fixes in pgfplots; scatter3d recipe 2016-06-09 01:48:43 -04:00
Tom Breloff fa84401866 Merge pull request #310 from diegozea/dev
Add trim kw arg to violin and density
2016-06-09 01:45:43 -04:00
Diego Javier Zea 910b94c5fd Add trim kw arg to violin and density 2016-06-09 02:38:19 -03:00
Thomas Breloff 40cbddab29 updated NEWS; export shorthands macro; new example 16 2016-06-08 23:32:03 -04:00
Thomas Breloff 853cda4b80 moved stuff to PlotDocs 2016-06-08 17:34:15 -04:00
Thomas Breloff 91ec0ad077 allow false for color; properly expand extrema for tuple fillrange; make_fillrange_from_ribbon 2016-06-08 09:51:27 -04:00
Thomas Breloff 4be2304ec1 working on arg_desc; violin fix for groups 2016-06-08 00:52:16 -04:00
Tom Breloff d0ee402939 Merge pull request #306 from diegozea/dev
Solve a bug with whisker lengths (#210)
2016-06-07 23:01:29 -04:00
Diego Javier Zea 2d095daddc Solve a bug with whisker lengths (#210) 2016-06-07 23:44:41 -03:00
Thomas Breloff cf4fcf3351 fixed boxplot grouping; cleaned up GroupBy recipe; added arg_descs 2016-06-07 21:12:59 -04:00
Thomas Breloff 42d57fb8c2 working on arg_desc 2016-06-07 18:17:27 -04:00
Thomas Breloff ba13c1528f working on arg_desc 2016-06-07 17:59:30 -04:00
Thomas Breloff 857fb3342a fakedata fix 2016-06-07 17:16:14 -04:00
Thomas Breloff 17189e3125 default_should_widen; symbol in userplot macro; cleanup in recipes 2016-06-07 16:44:15 -04:00
Thomas Breloff d0209d945d widen further; added zorder to pyplot annotations 2016-06-07 12:38:35 -04:00
Tom Breloff 1b6bfa1259 Merge pull request #305 from diegozea/dev
Add notch and outliers to boxplot
2016-06-07 12:09:55 -04:00
Thomas Breloff 4ea813c983 pyplot scatter fix 2016-06-07 12:07:16 -04:00
Diego Javier Zea 71d2af07da Add notch and outliers to boxplot 2016-06-07 13:06:13 -03:00
Thomas Breloff b36f8c701e type recipes 2016-06-07 11:59:38 -04:00
Thomas Breloff d64d3ef101 pgfplots fixes 2016-06-07 01:57:02 -04:00
Thomas Breloff 05fa4a92de fixes in plotly/plotlyjs; smooth primary false 2016-06-07 01:42:33 -04:00
Thomas Breloff 990314cefc fixes for gr markers; add cbar to example 24; turn on gr tests 2016-06-07 01:23:07 -04:00
Thomas Breloff 60d97ad9c9 added density recipe 2016-06-07 00:18:07 -04:00
Thomas Breloff 6bfa31a89f added primary kw for series counting; added sticks recipe; gr_set_font and related fixes 2016-06-06 23:43:06 -04:00
Thomas Breloff 8d8ac10429 step recipes 2016-06-06 18:19:46 -04:00
Thomas Breloff 56f398fb55 histogram2d recipe; handle smoothing generically 2016-06-06 17:55:09 -04:00
Thomas Breloff cf5aed00e2 test fix 2016-06-06 16:12:22 -04:00
Thomas Breloff de616dfdf0 update_min_padding fix; shape support in GR; GR attr fixes; image extrema and fixes; hline/vline recipes; nobigs closes #303 2016-06-06 15:34:51 -04:00
Thomas Breloff 3cf428d7ea pyplot colorbar fix; annotation fix; new contour example; travis fix 2016-06-06 14:06:55 -04:00
Thomas Breloff 29d93ba33e changed axis defaults byletter to match; cleaned up examples; pyplot extrema fixes; commented out gr tests 2016-06-06 12:34:24 -04:00
Thomas Breloff 76c84c7615 attr fixes; allow_fail for nightly travis; series_new cleanup 2016-06-06 01:36:07 -04:00
Thomas Breloff e129c29e2f postpone match logic and add color_or_nothing; update pyplot for attr changes; move some pyplot logic later 2016-06-06 01:19:25 -04:00
Thomas Breloff 52d325b446 Merge remote-tracking branch 'origin/master' into dev 2016-06-05 23:59:06 -04:00
Thomas Breloff 74efd98699 added user_attr field to Plot; fillrange fix; pyplot title fix 2016-06-05 23:58:35 -04:00
Tom Breloff 28effaea36 Merge pull request #298 from dhoegh/fix_animation
Make animation use ImageMagick.jl if it is installed.
2016-06-05 23:16:05 -04:00
Daniel Høegh 6256549f44 Make animation use ImageMagick.jl if it is installed. 2016-06-05 09:31:44 +02:00
Thomas Breloff 2adec2fa7b examples 2016-06-02 20:34:25 -05:00
Thomas Breloff 32e816b713 working on axis limit fixes 2016-06-02 20:22:58 -05:00
Thomas Breloff 6c7b113de5 working on new tests 2016-06-02 17:59:24 -05:00
Thomas Breloff 1d5cce61ac working on switch to PlotReferenceImages 2016-06-02 17:23:40 -05:00
Thomas Breloff 85f91b9075 fix for plotting function; closes #291 2016-06-01 14:45:35 -05:00
Thomas Breloff aa64a0d3ce pyplot color fix 2016-06-01 14:29:36 -05:00
Thomas Breloff e9d95a85b7 proper grid layout in macro; pyplot isx fix 2016-05-30 14:56:32 -05:00
Thomas Breloff 625c92a985 working on 0.5 changes 2016-05-28 11:17:34 -04:00
Thomas Breloff 3cc9425219 working on 0.5 changes -- String 2016-05-28 11:00:19 -04:00
Thomas Breloff 0a86ccb142 working on 0.5 changes 2016-05-28 10:42:41 -04:00
Thomas Breloff ce82e07dc9 Extrema type and link_axis; link keyword, removed old link logic 2016-05-27 22:03:56 -04:00
Thomas Breloff 048c60614c check _axis_defaults in default 2016-05-27 16:31:07 -04:00
Thomas Breloff 148fa6d151 discrete_values handling; pyplot lims/widen; cleanup 2016-05-27 16:23:46 -04:00
Thomas Breloff 088543176f recompute_lengths fix; renamed hist to histogram, hist2d to histogram2d to match methods; fix tests 2016-05-27 15:08:05 -04:00
Thomas Breloff 536746d47e switch order for Surface function constructor; closes #273 2016-05-27 14:38:23 -04:00
Thomas Breloff c15cbad396 shorthands macro; pyplot bar fill fix; userplot macro; nicer error message in convertToAnyVector 2016-05-27 14:25:14 -04:00
Thomas Breloff d3baa58c7e series ordering bug fix 2016-05-27 12:55:29 -04:00
Thomas Breloff 7c885de6c7 improved trickery with layout macro 2016-05-27 12:16:34 -04:00
Thomas Breloff 010b8a382e working on building plot from existing plots 2016-05-27 10:58:45 -04:00
Thomas Breloff 314053af54 gr hist2d fix; closes #253 2016-05-27 09:05:48 -04:00
Thomas Breloff 34a7f8a99c prepared_object; closes #267 2016-05-27 00:19:12 -04:00
Thomas Breloff 87031984d9 widen gr limits; fixes #265 2016-05-27 00:14:22 -04:00
Thomas Breloff 83687f96a5 PLOTS_USE_ATOM_PLOTPANE env var; closes #270 2016-05-26 23:56:11 -04:00
Thomas Breloff f33905ed80 fixes for images/heatmaps/surfaces 2016-05-26 23:47:09 -04:00
Thomas Breloff f91c4d586c html_output_format 2016-05-26 20:57:51 -04:00
Thomas Breloff 77ec4adcad default minpad fix; html_output_format 2016-05-26 17:04:28 -04:00
Thomas Breloff b5a8186d99 working on pgfplots; default minpad calcs; moved subplot/layout init later to allow setting in recipes 2016-05-26 16:01:46 -04:00
Thomas Breloff ed25e554e1 working on pgfplots 2016-05-26 15:02:04 -04:00
Thomas Breloff a388ec71e3 working on pgfplots 2016-05-26 14:18:57 -04:00
Thomas Breloff bde3c2e19d working on pgfplots 2016-05-26 13:47:00 -04:00
Thomas Breloff d1d8d196ba sticks recipe; fixed up unicodeplots backend 2016-05-26 11:19:47 -04:00
Thomas Breloff 7be5aebbc9 gr fixes: polar markers, empty legends, pie labels, scale and flip 2016-05-25 16:52:07 -04:00
Thomas Breloff d15fcb6b24 gr_polyline fixes 2016-05-25 16:01:18 -04:00
Thomas Breloff b3ac38a6f1 working on gr 2016-05-25 15:17:51 -04:00
Thomas Breloff dae9dad2f7 working on GR; series_list and should_add_to_legend; series recipes fix; hist and bar recipes 2016-05-25 13:06:08 -04:00
Thomas Breloff 603dc30bb1 backend callback changes; output callbacks; prepare_output; fixes for pyplot, plotly, plotlyjs; and more 2016-05-24 23:19:51 -04:00
Tom Breloff 71070da13e Merge pull request #276 from spencerlyon2/dev
Fix plotlyjs subplots
2016-05-24 20:48:25 -04:00
Spencer Lyon 8fa1d4eb9b Fix plotlyjs subplots 2016-05-24 17:21:07 -07:00
Thomas Breloff 41f91f9cfb working on GR rebuild 2016-05-24 18:01:20 -04:00
Thomas Breloff 5699f3c6bc begin GR cleanup 2016-05-24 15:22:16 -04:00
Thomas Breloff 300babd6b1 deprecated gadfly/immerse 2016-05-24 14:46:53 -04:00
Thomas Breloff c1baca181c plotly subplot layouts 2016-05-24 14:25:03 -04:00
Thomas Breloff 851fe9f72c plotlyjs fixes 2016-05-24 12:38:52 -04:00
Thomas Breloff cf635cbdd9 renamed plotargs to attr; working on plotly backend 2016-05-24 12:20:03 -04:00
Thomas Breloff abbd8635dd pyplot hist in legend fix; closes #254 2016-05-24 11:03:38 -04:00
Thomas Breloff 2c2218bcb9 layouts fixed 2016-05-24 10:34:02 -04:00
Thomas Breloff bb6c06d3f7 working on layouts 2016-05-24 08:30:46 -04:00
Thomas Breloff 90e22f179e discrete value fixes; margin args; check for fillrange in contourf; skip test 6 2016-05-23 18:15:33 -04:00
Thomas Breloff 0a00d1fbf3 suppress_warnings fix; discrete values fixes 2016-05-23 16:42:24 -04:00
Thomas Breloff 6f0b8d1d7b group fix; ohlc fix 2016-05-23 15:13:20 -04:00
Thomas Breloff ef0d99340a backend template renaming/reorg/cleanup, pyplot fixes 2016-05-23 10:29:35 -04:00
Thomas Breloff d4d388a94b pyplot colorbar labels bbox 2016-05-21 23:03:55 -04:00
Thomas Breloff 7022ce7553 fixes for push/append/set_xy 2016-05-21 10:03:47 -04:00
Thomas Breloff 4a96122067 colorbar layout fixes; process_axis_arg and related fix 2016-05-21 00:04:33 -04:00
Thomas Breloff 862ac3af8a fixes/improvements to annotations; added series_annotations keyword 2016-05-20 11:38:07 -04:00
Thomas Breloff 333c2765fe ohlc recipe and related fixes; removed ohlc-specific code from gadfly and gr 2016-05-20 10:06:15 -04:00
Thomas Breloff 89feb68b7c pyplot lims fix 2016-05-20 08:15:27 -04:00
Thomas Breloff 1b901673fc fixes for guide/dataframes; 3d/polar projections; delayed subplot init; fg_title 2016-05-19 23:45:07 -04:00
Thomas Breloff fb60c244f6 bar_width and bar_edges keywords; small fixes 2016-05-19 17:34:37 -04:00
Thomas Breloff 3cea2df459 fix get_subplot_index; fix pyplot colorbar 2016-05-19 14:00:39 -04:00
Thomas Breloff 1cf514d1e6 merged dev into tb_recipes 2016-05-19 13:03:01 -04:00
Thomas Breloff 65e18a8669 upper bound on RecipesBase in REQUIRE; added NEWS.md; closes #259 2016-05-19 12:36:34 -04:00
Thomas Breloff 3e8f325ddc reorg/cleanup; removed old layouts and subplots; created axes.jl and layouts.jl 2016-05-19 10:42:59 -04:00
Thomas Breloff 0d96c49f4a layout macro; attr rename; getindex; fixes and cleanup 2016-05-18 23:55:03 -04:00
Thomas Breloff bfc3fc1dec titles and sub-layouts 2016-05-18 15:53:00 -04:00
Thomas Breloff 327f235af9 working on subplot/axis arg processing 2016-05-18 14:08:44 -04:00
Thomas Breloff df7fc0c4df fixes; basic layout works 2016-05-17 23:37:47 -04:00
Thomas Breloff 33d9664df5 working on layouts 2016-05-17 21:24:34 -04:00
Thomas Breloff 0d237028e7 redo the bbox logic 2016-05-17 17:41:03 -04:00
Thomas Breloff 80b9115393 fixes 2016-05-17 15:55:54 -04:00
Thomas Breloff 606229a08f trying out measures 2016-05-17 15:45:05 -04:00
Thomas Breloff 2ac17afe30 fixes 2016-05-17 10:33:10 -04:00
Tom Breloff 70f23e695b Merge pull request #252 from pkofod/join
Replace string cats with join() in pgfplots (and more).
2016-05-17 09:09:04 -04:00
Thomas Breloff 3084b0c41c working on arg overhaul 2016-05-17 00:57:42 -04:00
Thomas Breloff b75db9e473 arg defaults 2016-05-16 21:56:27 -04:00
Thomas Breloff c89e9c5f73 refactored and renamed plot defaults into plot,subplot,axis defaults, plus some associated fixes 2016-05-16 20:57:50 -04:00
Thomas Breloff 61107b8577 working on layout 2016-05-16 17:12:45 -04:00
Thomas Breloff 35ff449dc3 working on layout 2016-05-16 15:56:12 -04:00
Thomas Breloff ae1f5b8b06 working on layouts 2016-05-16 14:24:45 -04:00
Thomas Breloff c5bcae1e34 working on subplots 2016-05-16 01:07:33 -04:00
Thomas Breloff e9ab6e7301 started subplots/layouts 2016-05-15 12:32:10 -04:00
Thomas Breloff a6ce2e691d changed add_series to accept Series and push to list automatically; default add_series simplifies; removed old supported.jl 2016-05-15 12:14:18 -04:00
Thomas Breloff bfe04bdd15 changed to _create_backend_figure; started subplot removal 2016-05-15 11:23:27 -04:00
Thomas Breloff 2d0f9f01d5 cleanup 2016-05-14 17:34:44 -04:00
Thomas Breloff 87a967ad9c working on Axis 2016-05-14 00:10:58 -04:00
Thomas Breloff 290b17a5f9 fixes 2016-05-13 22:53:32 -04:00
Thomas Breloff 76572b990b fix gr linetype 2016-05-13 21:00:02 -04:00
Thomas Breloff 54efb48d62 changed linetype to seriestype 2016-05-13 20:55:26 -04:00
Thomas Breloff 83bd780f2a working on Axis type 2016-05-13 16:46:15 -04:00
Thomas Breloff 2ba4ac6d20 working on Axis type 2016-05-13 14:42:11 -04:00
Thomas Breloff 98dc52f124 working on Axis type 2016-05-13 13:45:30 -04:00
Thomas Breloff fbb2f30f3f errorbars, ribbons, and marker_z 2016-05-13 11:58:29 -04:00
Thomas Breloff 8ec3d18339 boxplot, violin, quiver, and line series recipes; plus some fixes 2016-05-13 11:21:32 -04:00
Thomas Breloff 26779cbf4a series recipes 2016-05-13 08:03:28 -04:00
Thomas Breloff 4f429fb536 recipe overhaul; groups, annotations, SliceIt 2016-05-13 00:17:58 -04:00
Thomas Breloff 7e1706f700 working on core recipes 2016-05-12 21:30:52 -04:00
Thomas Breloff d491b29037 working on recipes overhaul 2016-05-12 16:35:57 -04:00
Thomas Breloff cf9b60660d working on recipes overhaul 2016-05-12 14:51:53 -04:00
Thomas Breloff a5e9ad9f19 working on recipes overhaul 2016-05-12 14:00:47 -04:00
Thomas Breloff 6049a9fa0a working on recipes overhaul 2016-05-12 12:31:47 -04:00
Patrick Kofod Mogensen 5196ce5263 Add PGFPlots support for the size kw. 2016-05-12 17:32:54 +02:00
Patrick Kofod Mogensen 9231da4610 Clean up wall of pushes in _pgfplots_get_marker, and lines starting with kwarg. 2016-05-12 17:32:54 +02:00
Patrick Kofod Mogensen 89f8030ba1 Add markerstrokewidth to pgfplots. 2016-05-12 17:32:54 +02:00
Patrick Kofod Mogensen 534f57b227 Replace string cats with join() in pgfplots. 2016-05-12 17:32:54 +02:00
Thomas Breloff 4d3ebf31d4 add series_new.jl 2016-05-12 10:28:04 -04:00
Tom Breloff d778c7922d Merge pull request #255 from jheinen/dev
Fixed some bugs in gr.jl
2016-05-12 10:12:29 -04:00
Josef Heinen 5109c6f72b Fixed some bugs in gr.jl
- Turn off interpolation for heatmaps
- Fixed bug plotting scatter after heatmap (scatter drew to the colorbar
  viewport)
- Don't draw superfluous legends
2016-05-12 15:29:43 +02:00
Thomas Breloff 5005d32afd recipes overhaul; is_installed and dataframes logic; removed requires 2016-05-11 22:12:51 -04:00
Thomas Breloff 88be655dca started recipe reorg 2016-05-11 17:56:18 -04:00
Tom Breloff fe5789d747 Merge pull request #251 from jheinen/dev
Added (native) image support
2016-05-11 10:41:39 -04:00
Josef Heinen 00201b5f9c Added (native) image support 2016-05-11 16:18:03 +02:00
Thomas Breloff 85f7acf9d5 add PyPlot.ioff to init; closes #229 2016-05-11 09:45:44 -04:00
Thomas Breloff 44d1cdc2b2 pgfplots aspect_ratio 2016-05-11 09:18:40 -04:00
Tom Breloff 90c2202f6e Merge pull request #250 from KristofferC/kc/fix_pgfplots_color
Fix bug in some linecolors in PGFPlots
2016-05-11 09:11:13 -04:00
Kristoffer Carlsson d30574de24 workaround a bug in engineering notation for colors in pgfplot 2016-05-11 15:01:17 +02:00
Tom Breloff dec3748fe5 Merge pull request #249 from KristofferC/kc/pgfplots_label
add support for legend and label in pgfplots
2016-05-11 08:51:38 -04:00
Kristoffer Carlsson e8cdff2310 add support for legend and label in pgfplots
also adds some extra kwargs for legend positions
2016-05-11 13:59:32 +02:00
Thomas Breloff a0ca9d675f add_arrows function; plotly cleanup and arrows attempt 2016-05-10 17:22:47 -04:00
Thomas Breloff baf410c712 remove pyplot dash_capstyle option 2016-05-10 14:34:28 -04:00
Thomas Breloff a81af2b449 arrow conveniences 2016-05-10 13:57:38 -04:00
Thomas Breloff 678dde710b arrows with updated quiver recipe; only pyplot so far 2016-05-10 13:40:25 -04:00
Tom Breloff 93a35d8fdc Merge pull request #244 from jheinen/dev
Improved scaling of plots with error bars
2016-05-10 12:21:18 -04:00
Josef Heinen 0878f44b09 Improved scaling of plots with error bars 2016-05-10 18:14:08 +02:00
Thomas Breloff b89ae245ec removed heatmap assert 2016-05-09 22:44:22 -04:00
Thomas Breloff 536da01714 boxplot nan fix; add match_dimensions to pyplot supportedargs 2016-05-09 22:13:53 -04:00
Thomas Breloff a1b991aaeb image fixes and support in pyplot 2016-05-09 15:53:33 -04:00
Thomas Breloff 7bee9a5829 setTicksFromStringVector fixes; travis 2016-05-09 14:36:09 -04:00
Thomas Breloff 17a90e3b00 revamped setTicksFromStringVector; dataframes label fix 2016-05-09 14:00:07 -04:00
Tom Breloff 43ba9b1172 Merge pull request #239 from jheinen/dev
Fix axes offset bug (#221)
2016-05-09 11:28:04 -04:00
Thomas Breloff fdb01046e6 plotly zaxis, tick rotation, 3d axis fix; dataframes recipe fixes 2016-05-09 11:19:20 -04:00
Josef Heinen 09421c9189 Fix axes offset bug (#221) 2016-05-09 17:10:20 +02:00
Thomas Breloff c563204b0a added RecipesBase dep 2016-05-09 09:01:05 -04:00
Thomas Breloff 33b3ee89f3 replaced dataframes with recipes 2016-05-09 08:31:50 -04:00
Tom Breloff 008b61c9f6 Merge pull request #236 from jheinen/dev
Fixed colormap problem
2016-05-09 06:12:55 -04:00
Josef Heinen 7546db4d42 Fixed colormap problem 2016-05-09 11:44:37 +02:00
Thomas Breloff 925243969c attempted colormap fix for gr 2016-05-08 11:02:20 -04:00
Tom Breloff 7bce4a963e Merge pull request #233 from jheinen/dev
gr: support for colormaps
2016-05-08 10:30:40 -04:00
Josef Heinen 42d09a6d80 Working on colormaps 2016-05-08 14:06:11 +02:00
Josef Heinen b6334176e4 Added support for :nbins keyword 2016-05-07 13:24:11 +02:00
Josef Heinen 42a175bd53 Added support for :zlims keyword 2016-05-07 12:45:09 +02:00
Josef Heinen b4fb9af8e4 Fixed a problem with Julia v0.3 2016-05-07 07:47:13 +02:00
Thomas Breloff ed6c9fe432 add is_key_supported definition 2016-05-06 15:17:56 -04:00
Thomas Breloff 7e04aa438f removed RecipesBase from REQUIRE 2016-05-06 15:09:53 -04:00
Thomas Breloff f1679f82c1 remove recipe macro; add dependency on RecipesBase 2016-05-06 14:55:42 -04:00
Thomas Breloff 1808b81d59 recipe fix for empty args in subplot 2016-05-06 11:51:23 -04:00
Thomas Breloff cd25c7acb2 markershape fix; added require option for recipes 2016-05-06 11:39:17 -04:00
Thomas Breloff cf03779c5b handle user keywords properly for recipes 2016-05-06 10:50:54 -04:00
Thomas Breloff d3439f0d7e recipe macro handle curly 2016-05-05 16:58:04 -04:00
Thomas Breloff 2df7f84939 recipe macro 2016-05-05 16:18:56 -04:00
Thomas Breloff 74c76c48d5 working on plotrecipe 2016-05-05 12:22:31 -04:00
Thomas Breloff cdc0d22b01 changed recipe to plotrecipe and improved it 2016-05-05 11:51:50 -04:00
Thomas Breloff 5a520aadc0 removed some debugging 2016-05-05 10:35:04 -04:00
Thomas Breloff ec87489dd4 working on image type; working on ijulia display_dict 2016-05-05 00:13:45 -04:00
Thomas Breloff e30affdfc2 made center calc centroid 2016-05-04 21:36:15 -04:00
Thomas Breloff 66bd2559b9 recipe macro; markershape fix; moved/fixed themes 2016-05-04 16:09:09 -04:00
Thomas Breloff c8d6b1fab0 linewidth fix; kw macro 2016-05-04 14:24:15 -04:00
Thomas Breloff 548c59719b linewidth default 2016-05-04 13:38:08 -04:00
Thomas Breloff 59c1e24371 default_kw and force_kw macros for recipes 2016-05-04 13:24:44 -04:00
Thomas Breloff 3c09921cbd x/y/z ticklabel rotation; new supported graphs using heatmap 2016-05-03 17:14:52 -04:00
Thomas Breloff 00f3d450f9 fix for integer arg in process_inputs 2016-05-03 14:43:34 -04:00
Thomas Breloff e676387c16 shapes change verts to x/y; translate/scale/rotate/center; x/y scale alias fix 2016-05-02 16:37:10 -04:00
Thomas Breloff 2e2e8a2230 move plotargs merge and handlePlotColors before series 2016-05-02 12:16:41 -04:00
Thomas Breloff 8c8ede361e removed plotly tests 2016-04-29 17:00:56 -04:00
Thomas Breloff 672bf05856 travis 2016-04-29 14:03:50 -04:00
Thomas Breloff 67ec31c75a travis 2016-04-29 13:52:22 -04:00
Thomas Breloff 59d13a7810 travis; readme 2016-04-29 13:41:28 -04:00
Thomas Breloff 010a25f4cb travis; readme 2016-04-29 13:29:58 -04:00
Thomas Breloff a0ac7b4a1e travis; readme 2016-04-29 13:02:11 -04:00
Thomas Breloff ab7eb89466 travis; gitter badge 2016-04-29 12:44:05 -04:00
Thomas Breloff 649d362b85 travis install_wkhtmltoimage.sh 2016-04-29 12:20:18 -04:00
Thomas Breloff cb80860d6f travis install_wkhtmltoimage.sh 2016-04-29 12:15:42 -04:00
Thomas Breloff a8ef9e66fc travis install_wkhtmltoimage.sh 2016-04-29 12:05:38 -04:00
Thomas Breloff d27212e0b7 travis 2016-04-29 11:30:47 -04:00
Thomas Breloff 65650a7ae5 travis 2016-04-29 11:26:53 -04:00
Thomas Breloff 6ab5b8eb68 travis 2016-04-29 10:59:10 -04:00
Thomas Breloff c618e0577a travis and tests 2016-04-29 10:49:11 -04:00
Thomas Breloff 0e84c91451 split out supported.jl, added tests for more backends; closes #206 2016-04-29 10:13:41 -04:00
Thomas Breloff 005ce11313 InputWrapper and pyplot surface zcolor 2016-04-28 22:03:52 -04:00
Tom Breloff db118d4f5a Merge pull request #208 from pkofod/newpgf
Further changes to PGFPlots backend.
2016-04-28 15:13:58 -04:00
Patrick Kofod Mogensen c92b30a741 Further changes to PGFPlots backend. 2016-04-28 20:52:56 +02:00
Thomas Breloff d67aec6fec gr fixes and tests; fillrange convertToAnyVector 2016-04-28 12:51:08 -04:00
Tom Breloff ce58f25488 Merge pull request #209 from jheinen/dev
GR - Added polar plots
2016-04-28 11:09:56 -04:00
Josef Heinen e8d77a3c61 Added polar plots 2016-04-28 16:25:32 +02:00
Thomas Breloff d6d7fc1edd gr fix zcolor to marker_z 2016-04-27 12:10:33 -04:00
Thomas Breloff 7ce7f8bfce gr tests 2016-04-27 09:20:19 -04:00
Tom Breloff f0f46e5272 Merge pull request #166 from pkofod/pkm/pgfplots
PGFPlots.jl support
2016-04-27 09:17:45 -04:00
Patrick Kofod Mogensen f9473cc8bc Initial functionality added to PGFPlots backend. 2016-04-27 10:05:48 +02:00
Thomas Breloff 5c7d31157b spy fixes; closes #196 2016-04-26 17:02:16 -04:00
Thomas Breloff 982a512ebd pyplot support for pie charts 2016-04-26 16:01:50 -04:00
Thomas Breloff 5dfd3d2f5d added aspect_ratio keyword and implemented in pyplot 2016-04-26 15:35:26 -04:00
Thomas Breloff 8d6974f67d contours keyword for surface and wireframe plots 2016-04-26 15:09:18 -04:00
Thomas Breloff 8b569e3cd8 contour3d 2016-04-26 14:35:51 -04:00
Thomas Breloff b9d20142a2 pyplot trisurface support 2016-04-26 14:20:07 -04:00
Thomas Breloff 6c9e818abd discrete colorbar for pyplot 2016-04-26 13:19:22 -04:00
Thomas Breloff d2a287d43c gr tests linux_only 2016-04-26 11:59:08 -04:00
Thomas Breloff d6ce2e364f fixes and cleanup: colorbars, fills, polar 2016-04-26 11:18:48 -04:00
Thomas Breloff 36ca485a74 added fg_guide coloring; allow markers for bar/sticks and sticks fixes; legend text color 2016-04-25 16:57:16 -04:00
Thomas Breloff b3230c5671 pyplot shapes 2016-04-25 15:14:54 -04:00
Thomas Breloff ebf490838c pyplot surface, wireframe, heatmap; sorting fixes; default linewidth is :auto 2016-04-25 15:01:24 -04:00
Thomas Breloff 7921cf18b6 pyplot contours 2016-04-25 12:47:35 -04:00
Thomas Breloff 0e0450ced5 gadfly color fixes; pyplot fill_between fix; pyplot hline/vline 2016-04-25 12:24:03 -04:00
Thomas Breloff 096064ac09 subplot layout fix; closes #202 2016-04-25 12:00:43 -04:00
Thomas Breloff 77c2d7d846 subcategories for background/foreground colors, implemented in pyplot; add_theme/set_theme and ggplot2; add_aliases function; nbins renamed bins 2016-04-25 11:37:14 -04:00
Thomas Breloff 40a121198d added weights kw; pyplot hist2d and hexbin 2016-04-24 23:33:51 -04:00
Thomas Breloff 44079a7bf7 added normalize kw, and added to pyplot 2016-04-24 22:47:32 -04:00
Thomas Breloff 50fa013801 working on pyplot refactor; barh added 2016-04-23 09:32:57 -04:00
Thomas Breloff d4ccf0ec62 PLOTS_DEFAULT_BACKEND env variable; closes #200 2016-04-23 09:04:02 -04:00
Thomas Breloff 04842974e7 working on pyplot refactor 2016-04-22 16:46:02 -04:00
Thomas Breloff 6161b08f82 working on pyplot refactor; path/scatter in 2d/3d done 2016-04-22 12:53:40 -04:00
Thomas Breloff b9818a4480 working on seriescolor and pyplot reorgs 2016-04-22 10:44:12 -04:00
Thomas Breloff e2ae22421b working on seriescolor and pyplot reorgs 2016-04-22 10:09:55 -04:00
Thomas Breloff b64677e14a changed kw splatting to passing in KW: _add_series and _create_plot; removed plotly tests 2016-04-22 08:56:54 -04:00
Thomas Breloff c910445634 quiet flag for wkhtmltoimage 2016-04-21 15:10:25 -04:00
Thomas Breloff c4683a754e plotly png generation using wkhtmltoimage 2016-04-20 17:34:55 -04:00
Thomas Breloff 1da8fdb588 plotlyjs travis 2016-04-20 15:35:23 -04:00
Thomas Breloff 4bf8e342dc plotlyjs travis; plotly/plotlyjs polar 2016-04-20 14:44:27 -04:00
Thomas Breloff 18fc50fcbf plotlyjs travis 2016-04-20 12:33:32 -04:00
Thomas Breloff 2fb10b7076 plotlyjs travis 2016-04-20 11:59:17 -04:00
Thomas Breloff 967291c2ef export KW; plotlyjs travis 2016-04-20 11:27:02 -04:00
Thomas Breloff 392ae871d5 plotlyjs travis 2016-04-20 10:57:07 -04:00
Thomas Breloff 27b3070480 Merge remote-tracking branch 'origin/master' into dev 2016-04-20 10:20:55 -04:00
Tom Breloff 325f59e03d Merge pull request #190 from mfalt/master
Better handling of xlims in Gadfly
2016-04-20 10:17:29 -04:00
Thomas Breloff 217ffb36e6 plotlyjs tests and fixes 2016-04-20 10:10:07 -04:00
Mattias Fält 4afad93ff6 Missing changes 2016-04-20 15:51:33 +02:00
Thomas Breloff e8858cb1b7 removed sort in ticks 2016-04-20 09:12:36 -04:00
Mattias Fält 52de31c9a6 Proper implementation of gadfly min/max in Cartesian 2016-04-20 14:37:34 +02:00
Mattias Fält 60660a1f1a Fixed Gadfly axis scale inversion 2016-04-20 10:48:13 +02:00
Thomas Breloff a2ea9db90e added bar_position; fixed orientation handling; pyplot cleanup 2016-04-18 15:12:13 -04:00
Thomas Breloff 236a7dadc6 added matplotlib colormaps; default changed to inferno; pyplot subplot fix 2016-04-13 13:49:03 -04:00
Thomas Breloff 82d2cc943d working on get/set xy/xyz indexing overhaul 2016-04-11 18:19:06 -04:00
Thomas Breloff d70f462899 z axis args; pyplot z axis; major pyplot cleanup; other cleanup/fixes 2016-04-11 16:16:47 -04:00
Thomas Breloff 0a636b5899 polar coords for pyplot 2016-04-11 06:46:28 -04:00
Thomas Breloff e0b2749188 added support for shape linetype in pyplot 2016-04-08 17:10:15 -04:00
Thomas Breloff 2fc973245d added quiver plot/arg; fixed gadfly shapes to allow vector of shapes 2016-04-08 16:05:20 -04:00
Thomas Breloff 9bfcb64542 asymmetric errorbars 2016-04-08 12:06:12 -04:00
Thomas Breloff 61e34b7ef8 ribbons; changed errorbar to yerror and added xerror 2016-04-08 11:52:02 -04:00
Thomas Breloff 3c3078875a errorbars 2016-04-08 10:35:17 -04:00
Thomas Breloff 5293e2c13d sort string ticks 2016-04-07 17:27:12 -04:00
Thomas Breloff fdf3b3f581 added violin plot 2016-04-07 17:05:31 -04:00
Thomas Breloff f3f29fb54f apply_series_recipe framework and boxplot; fix Gadfly scales for tick labels 2016-04-07 15:56:09 -04:00
Thomas Breloff e8ed79a6bb pyplot zlim fixes 2016-03-29 11:01:16 -06:00
Thomas Breloff cca730d927 atom abstractplot 2016-03-29 09:24:23 -06:00
Tom Breloff 0693cb7840 Merge pull request #176 from abelsiqueira/feat/zlim
Implement zlims!
2016-03-29 09:23:07 -06:00
Abel Soares Siqueira 3f1958cce1 Implement zlims! 2016-03-28 22:41:32 -03:00
Thomas Breloff fb708bed90 Atom fixes 2016-03-25 09:23:10 -06:00
Thomas Breloff 1636587a82 surface fix 2016-03-19 19:40:27 -06:00
Thomas Breloff 1f1ccd81bb shapes 2016-03-18 11:38:51 -04:00
Thomas Breloff 5efb0eb582 more Dict to KW renaming 2016-03-17 22:11:29 -04:00
Thomas Breloff be5f71c123 subplot groups; lots of Dict to KW replace 2016-03-17 22:02:50 -04:00
Thomas Breloff a0df6bfc12 groupby overhaul 2016-03-17 18:27:33 -04:00
Thomas Breloff 2ab0dc20d7 working on series reorg 2016-03-17 16:52:09 -04:00
Thomas Breloff 175ce3613a working on series reorg 2016-03-17 15:07:07 -04:00
Thomas Breloff eecb5c3754 started series reorg 2016-03-17 13:38:22 -04:00
Thomas Breloff b34360901f test/REQUIRE 2016-03-17 11:33:18 -04:00
Thomas Breloff 21bbd21ae9 travis 2016-03-17 10:33:39 -04:00
Thomas Breloff 0b403a4c5d changed createKWArgsList to build_series_args and moved into series_args.jl; added Cairo and Fontconfig to test/REQUIRE 2016-03-17 10:08:03 -04:00
Thomas Breloff 1d1e1beca5 pyplot surface fix 2016-03-17 08:59:43 -04:00
Tom Breloff 3d4d844e72 Merge pull request #169 from diegozea/dev
Arc and chord diagram
2016-03-17 08:39:27 -04:00
Diego Javier Zea 1f9aa72bdb clean previous commit 2016-03-17 00:18:13 -03:00
Diego Javier Zea c29f68e35d Arc and chord diagrams 2016-03-17 00:11:41 -03:00
Tom Breloff c7c10e769d Merge pull request #168 from jheinen/dev
GR.jl improvements
2016-03-16 14:55:35 -04:00
Josef Heinen 7264c01b85 Added :heatmap linetype 2016-03-16 18:27:59 +01:00
Josef Heinen 97faa7413f gr: improved subplot layout 2016-03-16 18:27:59 +01:00
Thomas Breloff 7531c48e38 shape linetype; supported in gadfly; gadfly cleanup 2016-03-16 13:12:01 -04:00
Thomas Breloff 16799d8b75 cleanup plotly 2016-03-16 11:38:20 -04:00
Thomas Breloff 901115ed10 working on plotly/interact fix 2016-03-15 13:16:14 -04:00
Tom Breloff 596ca08446 Merge pull request #162 from diegozea/dev
arcdiagram
2016-03-15 11:29:24 -04:00
Thomas Breloff 4d864d8cad working on atom integration 2016-03-14 16:58:01 -04:00
Diego Javier Zea c458a35670 arcdiagram 2016-03-13 16:27:35 -03:00
Thomas Breloff c203bfe5ad working on atom/plotly 2016-03-11 14:59:11 -05:00
Thomas Breloff 8b2a838388 fixed dataframes loading; added dataframes to tests; started atom integration 2016-03-11 13:07:25 -05:00
Thomas Breloff b08212e2f9 more layouts 2016-03-10 23:38:14 -05:00
Thomas Breloff b5f08838b3 renaming: AbstractPlot and AbstractBackend 2016-03-10 23:08:04 -05:00
Thomas Breloff 5501605a1f more cleanup; backends.jl; removed depr dir 2016-03-10 22:47:53 -05:00
Thomas Breloff 7a5197df63 started work on new FlexLayout, some reorg/cleaning 2016-03-10 22:43:02 -05:00
Tom Breloff 09d45aa64b Merge pull request #161 from dlfivefifty/dev
Update GLVisualize
2016-03-10 19:24:24 -05:00
Sheehan Olver 552810359e Merge updated glvisualize 2016-03-11 10:44:51 +11:00
Sheehan Olver a68a6885d0 updated glvisualize 2016-03-11 10:42:55 +11:00
Thomas Breloff b32589f7e7 removed plotly debugging 2016-03-10 16:20:34 -05:00
Thomas Breloff 2e6b8a067d pyplot heatmaps working; ColorGradient fix 2016-03-09 23:34:56 -05:00
Thomas Breloff 581fdfdfe0 pyplot heatmap 2016-03-09 21:55:09 -05:00
Thomas Breloff 8e4ff39738 loosen ColorGradient constructor 2016-03-09 20:31:46 -05:00
Thomas Breloff f568803af2 heatmaps, colorscales, and spy... oh my 2016-03-09 17:48:43 -05:00
Thomas Breloff 6db06857ba changed heatmap to hist2d, see #147 for details 2016-03-09 15:26:30 -05:00
Thomas Breloff fd4dd13270 added svg in pyplot; deprecate qwt; writemime backup for html 2016-03-09 13:36:21 -05:00
Thomas Breloff ded9f332f6 plotlyjs fix 2016-03-09 11:13:31 -05:00
Thomas Breloff d09ca46141 plotlyjs fix 2016-03-09 10:59:33 -05:00
Thomas Breloff b28cd7f8bd plotlyjs fix 2016-03-09 10:23:14 -05:00
Tom Breloff a4054aa500 Merge pull request #159 from jheinen/dev
Fixed some TODOs (Issue $108)
2016-03-09 09:40:06 -05:00
Josef Heinen 3332bfcee1 Fixed some TODOs (Issue $108)
- support the grid keyword
- support handling of NaN (gaps in line segments)
- support xlims/ylims
- removed gr_state macro

The GR.savestate / GR.restorestate problem (caused by exceptions) will be solved
in GR - probably by something like GR.rewind() => to unwind the attribute stack.
2016-03-09 10:34:19 +01:00
Thomas Breloff cc798a0c0a working on plotlyjs 2016-03-09 00:16:16 -05:00
Thomas Breloff fe2030b7e3 working on plotlyjs 2016-03-08 17:52:39 -05:00
Thomas Breloff ed1cce86ef ijulia, plotly, and gr display fixes 2016-03-08 15:07:51 -05:00
Thomas Breloff 9a544b0ff3 warn about Bokeh; 3D parametric plots 2016-03-08 14:18:39 -05:00
Thomas Breloff 82f7b29836 aliases 2016-03-08 13:21:54 -05:00
Thomas Breloff 076acfb242 allow one-sided limits for pyplot 2016-03-07 21:58:01 -05:00
Thomas Breloff ed336bc0ff cleaned up magic args; fixed alphas 2016-03-07 21:38:31 -05:00
Thomas Breloff 5699446d69 winston warning 2016-03-07 20:36:19 -05:00
Thomas Breloff a43d32949e better handling of 3d matrix input 2016-03-07 16:49:13 -05:00
Thomas Breloff 02a1e648bc added gr test; refactored pyplot figure generation, added overwrite_figure arg, closes #144 2016-03-07 15:17:29 -05:00
Thomas Breloff 9d3e0651e2 GR fix handling of Shape; PyPlot marker colors fix (hack), closes #145 2016-03-07 12:57:46 -05:00
Thomas Breloff cdff5a9039 gr_state macro 2016-03-07 12:17:33 -05:00
Tom Breloff ba0b5500ca Merge pull request #149 from jheinen/dev
merging GR updates
2016-03-07 11:21:09 -05:00
Josef Heinen 1439a7e289 Added support for pie charts 2016-03-07 16:36:26 +01:00
Josef Heinen 9761ede5c4 Removed support for hline, vline markers
(not yet implemented)
2016-03-07 16:36:26 +01:00
Josef Heinen e342805752 Added missing marker shapes 2016-03-07 16:36:26 +01:00
Josef Heinen d08672aa71 Improved grid plotting logic 2016-03-07 16:36:26 +01:00
Josef Heinen a3d4e05b0e Improved background color handling 2016-03-07 16:36:26 +01:00
Josef Heinen 51eeed3d50 Improved subplot layout 2016-03-07 16:36:26 +01:00
Josef Heinen 51c45456c3 Disable alpha channel when converting PNGs 2016-03-07 16:36:26 +01:00
Josef Heinen 074ba63bf5 Fill workstation background instead of viewport 2016-03-07 16:36:25 +01:00
Josef Heinen f3d552d8a0 Temporary workaround for multiple mime output 2016-03-07 16:36:25 +01:00
Josef Heinen c5fb4a9228 Added some sanity checks 2016-03-07 16:36:25 +01:00
Josef Heinen 55d7e910e4 Added workaround for multiple mime output 2016-03-07 16:36:25 +01:00
Josef Heinen ea29af8d3d Removed 'private' keyword argument :scale 2016-03-07 16:36:25 +01:00
Thomas Breloff 88b9d71bd7 fixed default PyPlot gradient 2016-03-07 09:55:05 -05:00
Thomas Breloff 165c84c246 pyplot minmax fix; convertToAnyVector fix 2016-03-04 12:46:33 -05:00
Thomas Breloff 347820867d pyplot lim fixes 2016-03-03 21:43:08 -05:00
Thomas Breloff 26d0dfbf3d Merge branch 'dev' of github.com:tbreloff/Plots.jl into dev 2016-03-03 16:06:03 -05:00
Thomas Breloff 6aa4849266 pyplot lims udpate fix 2016-03-03 16:05:27 -05:00
Thomas Breloff 335b3802b8 added FixedSizeArrays requirement 2016-03-02 22:48:27 -05:00
Thomas Breloff 73bd3fa60c curves 2016-02-22 22:53:31 -05:00
Thomas Breloff 6b61c5900c generalize curves 2016-02-22 10:39:03 -05:00
Thomas Breloff 9da4083096 directed_curve 2016-02-20 20:57:56 -05:00
Thomas Breloff 86fe244d95 revert pyplot changes 2016-02-19 21:59:43 -05:00
Thomas Breloff 732f2846de directed_curve; working on PyPlot fixes 2016-02-19 18:24:56 -05:00
Thomas Breloff 4f238caf5c added annotation options 2016-02-18 22:59:31 -05:00
Thomas Breloff c9388e9f56 bezier curves 2016-02-18 18:28:59 -05:00
Thomas Breloff 2a9fa9539f fixes to logic accepting arrays of values; additional fixes in gadfly and pyplot for this 2016-02-17 10:32:12 -05:00
Thomas Breloff b8d136588c gif macro and every/when syntax 2016-02-16 18:02:04 -05:00
Thomas Breloff 92c9e82dee fix refdir 2016-02-16 16:45:46 -05:00
Thomas Breloff 0fdb48bda3 fixes for ticks 2016-02-16 16:22:54 -05:00
Thomas Breloff e8d4fd7aac skip pyplot test 4 2016-02-12 15:41:00 -05:00
Thomas Breloff 6a4a78a26a skip pyplot test 13 2016-02-12 15:17:31 -05:00
105 changed files with 12213 additions and 7018 deletions
+1
View File
@@ -4,3 +4,4 @@
.DS_Store
examples/.ipynb_checkpoints/*
examples/meetup/.ipynb_checkpoints/*
deps/plotly-latest.min.js
+47 -10
View File
@@ -4,20 +4,57 @@ os:
- linux
- osx
julia:
- 0.4
#- nightly
- release
- nightly
matrix:
allow_failures:
- julia: nightly
# # before install:
# # - if [[ "$TRAVIS_OS_NAME" == "osx" ]]; then brew update ; fi
# # - if [[ "$TRAVIS_OS_NAME" == "osx" ]]; then brew install wkhtmltopdf; fi
# ref: http://askubuntu.com/a/556672 for the wkhtmltopdf apt repository info
sudo: required
before_install:
- if [[ "$TRAVIS_OS_NAME" == "linux" ]]; then pwd ; fi
- if [[ "$TRAVIS_OS_NAME" == "linux" ]]; then ./test/install_wkhtmltoimage.sh ; fi
# - if [[ "$TRAVIS_OS_NAME" == "linux" ]]; then sudo add-apt-repository -y ppa:pov/wkhtmltopdf ; fi
# - if [[ "$TRAVIS_OS_NAME" == "linux" ]]; then sudo apt-get -qq update ; fi
# - if [[ "$TRAVIS_OS_NAME" == "linux" ]]; then sudo apt-get install -y wkhtmltopdf ; fi
# - if [[ "$TRAVIS_OS_NAME" == "linux" ]]; then wkhtmltopdf -V ; fi
# - if [[ "$TRAVIS_OS_NAME" == "linux" ]]; then wkhtmltoimage -V ; fi
# echo 'exec xvfb-run -a -s "-screen 0 640x480x16" wkhtmltopdf "$@"' | sudo tee /usr/local/bin/wkhtmltopdf.sh >/dev/null
# sudo chmod a+x /usr/local/bin/wkhtmltopdf.sh
# # borrowed from Blink.jl's travis file
# matrix:
# include:
# - os: linux
# julia: 0.4
# env: TESTCMD="xvfb-run julia"
# - os: osx
# julia: 0.4
# env: TESTCMD="julia"
notifications:
email: true
# uncomment the following lines to override the default test script
script:
- if [[ -a .git/shallow ]]; then git fetch --unshallow; fi
- julia -e 'Pkg.clone(pwd()); Pkg.build("Plots")'
# - julia -e 'Pkg.clone("https://github.com/tbreloff/Images.jl.git"); Pkg.checkout("Images","tom_imgcompare");'
# - julia -e 'Pkg.clone("Images"); Pkg.build("Images")'
- julia test/travis_commands.jl
# - julia -e 'Pkg.clone("ImageMagick"); Pkg.build("ImageMagick")'
- julia -e 'Pkg.clone("https://github.com/tbreloff/VisualRegressionTests.jl.git");'
- julia -e 'Pkg.clone("https://github.com/tbreloff/ExamplePlots.jl.git");'
- julia -e 'Pkg.clone("Cairo"); Pkg.build("Cairo")'
- julia -e 'ENV["PYTHON"] = ""; Pkg.clone("PyPlot"); Pkg.build("PyPlot")'
- julia -e 'Pkg.test("Plots"; coverage=false)'
# - julia -e 'cd(Pkg.dir("Plots")); Pkg.add("Coverage"); using Coverage; Coveralls.submit(process_folder()); Codecov.submit(process_folder())'
# - julia -e 'Pkg.clone("GR"); Pkg.build("GR")'
# # - julia -e 'Pkg.clone("https://github.com/tbreloff/ImageMagick.jl.git"); Pkg.checkout("ImageMagick","tb_write"); Pkg.build("ImageMagick")'
# - julia -e 'Pkg.clone("https://github.com/tbreloff/ExamplePlots.jl.git");'
# # - julia -e 'Pkg.clone("https://github.com/JunoLab/Blink.jl.git"); Pkg.build("Blink"); import Blink; Blink.AtomShell.install()'
# # - julia -e 'Pkg.clone("https://github.com/spencerlyon2/PlotlyJS.jl.git")'
# - julia -e 'ENV["PYTHON"] = ""; Pkg.add("PyPlot"); Pkg.build("PyPlot")'
#
# # - $TESTCMD -e 'Pkg.test("Plots"; coverage=false)'
# - julia -e 'Pkg.test("Plots"; coverage=false)'
# # - julia -e 'cd(Pkg.dir("Plots")); Pkg.add("Coverage"); using Coverage; Coveralls.submit(process_folder()); Codecov.submit(process_folder())'
+208
View File
@@ -0,0 +1,208 @@
# Plots.jl NEWS
#### notes on release changes, ongoing development, and future planned work
- All new development should target 0.7!
---
## 0.7 (current master/dev)
#### 0.7.2
- line_z arg for multicolored line segments
- pyplot
- line_z (2d and 3d)
- pushed all fig updates into display pipeline
- remove native sticks/hline/vline in favor of recipes
- unicodeplots cleanup, ijulia fixes, ascii canvas
- `curves` series type
- `iter_segments` iterator
- moved arcdiagram out and into PlotRecipes (thanks @diegozea)
- several other fixes/checks
#### 0.7.1
- inset (floating) subplots
- change: when setting subplot/axis args from user recipes, they should apply only to their own subplot
- trim for violin/boxplot
- scatter3d recipe
- removed plotly.js in favor of build.jl download
- improvements/fixes to pgfplots backend
- improvements/fixes to plotly/plotlyjs backends
- titles are annotations and properly placed with title_position
- hover attribute
- shapes (almost)
- scattergl
- minimum perimeter logic in layout calc... fixed misaligned subplots
- new clims attribute
- more options for test_examples
- GR refactor
- added transparency
- moved axis/grid logic out of series loop
- generalized 3d and polar projections
- renamed get_mod to Base.cycle
- pyplot log scale fixes
- PLOTS_DEFAULTS environment var processing
- rename :ellipse to :circle, :ellipse is now an alias
- supported args/types cleanup
- seriestype dependency methods and `@deps` macro
- bbox `h_anchor`/`v_anchor`
- new axis arg: `:link` is a list of subplots to link axes with
- cleanup/simplification of glvisualize backend
#### 0.7.0
- Check out [the summary](http://plots.readthedocs.io/en/latest/plots_v0.7/)
- Revamped and simplified internals
- [Recipes, recipes, recipes](https://github.com/JuliaPlots/RecipesBase.jl/issues/6)
- [Layouts and Subplots](https://github.com/tbreloff/Plots.jl/issues/60)
- DataFrames is loaded automatically when installed
- Overhaul to GroupBy mechanic (now offloads to a recipe)
- Replaced much of the argument processing with recipes
- Added series recipes, and began to strip down un-needed backend code. Some recipes:
- line, step, sticks, bar, histogram, histogram2d, boxplot, violin, quiver, errorbars, density, ohlc
- Added `@shorthands` and `@userplot` macros for recipe convenience
- Better handling of errorbars and ribbons
- New Axis type
- Tracks extrema and discrete values
- New `link_axes` functionality
- `linetype` has been renamed `seriestype` (the alias is reversed)
- Many fixes and huge cleanup in GR
- Brand new subplot layout mechanics:
- `@layout` macro
- AbstractLayout, Subplot, GridLayout, and everything related
- Added dependency on Measures.jl
- Computations of axis/guide sizes and precise positioning
- Refactored and compartmentalized default dictionaries for attributes
- Deprecated Gadfly and Immerse backends
- Added `series_annotations` attribute (previously that functionality was merged with `annotations`, which are not series-specific)
- Removed `axis` attribute... currently not supporting twin (right) y axes
- Check for `ENV["PLOTS_USE_ATOM_PLOTPANE"]` and default to false
- Improved backend interface to reduce redundant code. Template updated.
- Added `html_output_format`, primarily for choosing between png and svg output in IJulia.
- Partial support of Julia v0.5
- Switched testing to dump reference images to JuliaPlots/PlotReferenceImages.jl
- Moved docs-specific code to new JuliaPlots/PlotDocs.jl
- Moved example list from ExamplePlots into Plots.
- Added several examples and improved others.
- Many other smaller changes and bug fixes.
---
## Version 0.6
#### 0.6.2
- `linewidth` fixes
- `markershape` fix
- converted center calc to centroid for shapes
- new dependency on [RecipesBase](https://github.com/JuliaPlots/RecipesBase.jl)
- REQUIRE upper limit for RecipesBase: 0.0.1
- GR fixes/improvements (@jheinen)
- support `zlims`, `bins`
- allow Plots colormaps
- other bug fixes
- native image support
- PGFPlots fixes/improvements (@pkofod)
- DataFrames are handled by recipes
- Plotly: zaxis, tick rotation, 3d axis fix
- Improvements in handling discrete data
- Support for image display
- `arrow` keyword and support for adding arrows to paths
- changed quiver recipe to use arrows
- Bug fixes for boxplots, heatmaps, and more
#### 0.6.1
- `rotation` keyword
- improved supported graphs
- subplot bug fix
#### 0.6.0
- `apply_series_recipe` framework for built-in recipes
- [boxplot/violin recipes](https://github.com/tbreloff/ExamplePlots.jl/blob/master/notebooks/boxplot.ipynb)
- [errorbar/ribbon recipes](https://github.com/tbreloff/ExamplePlots.jl/blob/master/notebooks/errorbars.ipynb)
- [quiver recipe](https://github.com/tbreloff/ExamplePlots.jl/blob/master/notebooks/quiver.ipynb)
- `polar` coordinates
- better support for shapes and custom polygons (see [batman](https://github.com/tbreloff/ExamplePlots.jl/blob/master/notebooks/batman.ipynb))
- z-axis keywords
- 3D indexing overhaul: `push!`, `append!` support
- matplotlib colormap constants (`:inferno` is the new default colormap for Plots)
- `typealias KW Dict{Symbol,Any}` used in place of splatting in many places
- png generation for plotly backend using wkhtmltoimage
- `normalize` and `weights` keywords
- background/foreground subcategories for fine-tuning of looks
- `add_theme`/`set_theme` and ggplot2 theme (see [this issue](https://github.com/tbreloff/Plots.jl/issues/201))
- `PLOTS_DEFAULT_BACKEND` environment variable
- `barh` linetype
- support for non-gridded surfaces with pyplot's trisurface
- pyplot surface zcolor
- internal refactor of supported.jl
- `wrap` method to bypass input processing
- `translate`, `scale` and `rotate` methods for coordinates and shapes
- and many more minor fixes and improvements
---
## Version 0.5
#### 0.5.4
- old heatmaps have been renamed to hist2d, and true heatmaps implemented (see https://github.com/tbreloff/Plots.jl/issues/147)
- lots of reorganization and redesign of the internals
- lots of renaming to keep to conventions: AbstractPlot, AbstractBackend, etc
- initial redesign of layouts
- integration with Atom PlotPane
- arc diagram and chord diagram (thanks to @diegozea: see https://github.com/tbreloff/Plots.jl/issues/163)
- work on GR, GLVisualize, and PGFPlots backends (thanks @jheinen @dlfivefifty @pkofod)
- improvements to Plotly setup (thanks @spencerlyon2)
- overhaul to series creation logic and groupby mechanic
- replace Dict with `typealias KW Dict{Symbol,Any}` in many places, also replacing keyword arg splatting
- new `shape` linetype for plotting polygons in plot-coordinates (see https://github.com/tbreloff/ExamplePlots.jl/blob/master/notebooks/batman.ipynb)
- many other fixes
#### 0.5.3
- `@gif` macro with `every`/`when` syntax
- bezier curves and other graph drawing helpers
- added FixedSizeArrays dependency with relevant functionality
- merged lots of improvements to GR (thanks @jheinen)
- `overwrite_figure`/`reuse` arg for reusing the same figure window
- deprecated Qwt, Winston, and Bokeh backends
- improved handling of 3D inputs (call `z=rand(10,10); surface(z)` for example)
- fix IJulia display issue
- lots of progress on PlotlyJS backend
- and many other changes and fixes...
#### 0.5.2
- Added [GR.jl](https://github.com/jheinen/GR.jl) as a backend (unfinished but functional) All credit to @jheinen
- Set defaults within backend calls (i.e. `gadfly(legend=false)`)
- `abline!`; also extrema allows plotting functions without giving x (i.e. `plot(cos, 0, 10); plot!(sin)`) @pkofod @joshday
- Integration with [PlotlyJS.jl](https://github.com/spencerlyon2/PlotlyJS.jl) for using Plotly inside a Blink window @spencerlyon2
- The Plotly backend has been split into my built-in version (`plotly()`) and @spencerlyon2's backend (`plotlyjs()`)
- Revamped backend setup code for easily adding new backends
- New docs (WIP) at http://plots.readthedocs.org/
- Overhaul to `:legend` keyword (see https://github.com/tbreloff/Plots.jl/issues/135)
- New dependency on Requires, allows auto-loading of DataFrames support
- Support for plotting lists of Tuples and FixedSizeArrays
- new `@animate` macro for super simple animations (see https://github.com/tbreloff/Plots.jl/issues/111#issuecomment-181515616)
- allow Function for `:fillrange` and `zcolor` arguments (for example: `scatter(sin, 0:10, marker=15, fill=(cos,0.4), zcolor=sin)`)
- allow vectors of PlotText without x/y coords (for example: `scatter(rand(10), m=20, ann=map(text, 1:10))`)
- Lots and lots of fixes
#### 0.5.1
#### 0.5.0
- `with` function for temporary defaults
- contours
- basic 3D plotting
- preliminary support for Bokeh
- `stroke` and `brush` for more fine-tuned control over visuals
- smarter "magic" arguments: `line`, `marker`
+20 -6
View File
@@ -1,8 +1,9 @@
# Plots
[![Build Status](https://travis-ci.org/tbreloff/Plots.jl.svg?branch=master)](https://travis-ci.org/tbreloff/Plots.jl)
[![Plots](http://pkg.julialang.org/badges/Plots_0.3.svg)](http://pkg.julialang.org/?pkg=Plots&ver=0.3)
[![Plots](http://pkg.julialang.org/badges/Plots_0.4.svg)](http://pkg.julialang.org/?pkg=Plots&ver=0.4)
[![Join the chat at https://gitter.im/tbreloff/Plots.jl](https://badges.gitter.im/tbreloff/Plots.jl.svg)](https://gitter.im/tbreloff/Plots.jl?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)
<!-- [![Plots](http://pkg.julialang.org/badges/Plots_0.3.svg)](http://pkg.julialang.org/?pkg=Plots&ver=0.3) -->
<!-- [![Plots](http://pkg.julialang.org/badges/Plots_0.4.svg)](http://pkg.julialang.org/?pkg=Plots&ver=0.4) -->
<!-- [![Coverage Status](https://coveralls.io/repos/tbreloff/Plots.jl/badge.svg?branch=master)](https://coveralls.io/r/tbreloff/Plots.jl?branch=master) -->
<!-- [![codecov.io](http://codecov.io/github/tbreloff/Plots.jl/coverage.svg?branch=master)](http://codecov.io/github/tbreloff/Plots.jl?branch=master) -->
@@ -10,12 +11,25 @@
Plots is a plotting API and toolset. My goals with the package are:
- **Intuitive**. Start generating complex plots without reading volumes of documentation. Commands should "just work".
- **Powerful**. Do more with less. Complex visualizations become easy.
- **Intuitive**. Start generating plots without reading volumes of documentation. Commands should "just work".
- **Concise**. Less code means fewer mistakes and more efficient development/analysis.
- **Flexible**. Produce your favorite plots from your favorite package, but quicker and simpler.
- **Consistent**. Don't commit to one graphics package. Use the same code and access the strengths of all backends.
- **Consistent**. Don't commit to one graphics package. Use the same code and access the strengths of all [backends](http://plots.readthedocs.io/en/latest/backends/).
- **Lightweight**. Very few dependencies, since backends are loaded and initialized dynamically.
Use the preprocessing pipeline in Plots to fully describe your visualization before it calls the backend code. This maintains modularity and allows for efficient separation of front end code, algorithms, and backend graphics. New graphical backends can be added with minimal effort.
Use the [preprocessing pipeline](http://plots.readthedocs.io/en/latest/pipeline/) in Plots to fully describe your visualization before it calls the backend code. This maintains modularity and allows for efficient separation of front end code, algorithms, and backend graphics. New graphical backends can be added with minimal effort.
View the [full documentation](http://plots.readthedocs.org).
```julia
using Plots
pyplot(reuse=true)
@gif for i in linspace(0,2π,100)
X = Y = linspace(-5,5,40)
surface(X, Y, (x,y) -> sin(x+10sin(i))+cos(y))
end
```
![waves](http://plots.readthedocs.io/en/latest/examples/img/waves.gif)
View the [full documentation](http://plots.readthedocs.io).
+3 -1
View File
@@ -1,6 +1,8 @@
julia 0.4
RecipesBase
Colors
Reexport
Compat
Requires
FixedSizeArrays
Measures
-419
View File
@@ -1,419 +0,0 @@
module PlotExamples
using Plots
using Colors
using Compat
const DOCDIR = Pkg.dir("Plots") * "/docs"
const IMGDIR = Pkg.dir("Plots") * "/img"
"""
Holds all data needed for a documentation example... header, description, and plotting expression (Expr)
"""
type PlotExample
header::@compat(AbstractString)
desc::@compat(AbstractString)
exprs::Vector{Expr}
end
# the examples we'll run for each
const examples = PlotExample[
PlotExample("Lines",
"A simple line plot of the columns.",
[
:(plot(Plots.fakedata(50,5), w=3))
]),
PlotExample("Functions, adding data, and animations",
"Plot multiple functions. You can also put the function first, or use the form `plot(f, xmin, xmax)` where f is a Function or AbstractVector{Function}.\n\nGet series data: `x, y = plt[i]`. Set series data: `plt[i] = (x,y)`. Add to the series with `push!`/`append!`.\n\nEasily build animations. (`convert` or `ffmpeg` must be available to generate the animation.) Use command `gif(anim, filename, fps=15)` to save the animation.",
[
:(p = plot([sin,cos], zeros(0), leg=false)),
:(anim = Animation()),
:(for x in linspace(0, 10π, 100)
push!(p, x, Float64[sin(x), cos(x)])
frame(anim)
end)
]),
PlotExample("Parametric plots",
"Plot function pair (x(u), y(u)).",
[
:(plot(sin, x->sin(2x), 0, 2π, line=4, leg=false, fill=(0,:orange)))
]),
PlotExample("Colors",
"Access predefined palettes (or build your own with the `colorscheme` method). Line/marker colors are auto-generated from the plot's palette, unless overridden. Set the `z` argument to turn on series gradients.",
[
:(y = rand(100)),
:(plot(0:10:100,rand(11,4),lab="lines",w=3, palette=:grays, fill=(0.5,:auto))),
:(scatter!(y, zcolor=abs(y-.5), m=(:heat,0.8,stroke(1,:green)), ms=10*abs(y-0.5)+4, lab="grad"))
]),
PlotExample("Global",
"Change the guides/background/limits/ticks. Convenience args `xaxis` and `yaxis` allow you to pass a tuple or value which will be mapped to the relevant args automatically. The `xaxis` below will be replaced with `xlabel` and `xlims` args automatically during the preprocessing step. You can also use shorthand functions: `title!`, `xaxis!`, `yaxis!`, `xlabel!`, `ylabel!`, `xlims!`, `ylims!`, `xticks!`, `yticks!`",
[
:(y = rand(20,3)),
:(plot(y, xaxis=("XLABEL",(-5,30),0:2:20,:flip), background_color = RGB(0.2,0.2,0.2), leg=false)),
:(hline!(mean(y,1)+rand(1,3), line=(4,:dash,0.6,[:lightgreen :green :darkgreen]))),
:(vline!([5,10])),
:(title!("TITLE")),
:(yaxis!("YLABEL", :log10))
]),
PlotExample("Two-axis",
"Use the `axis` arguments.\n\nNote: Currently only supported with Qwt and PyPlot",
[
:(plot(Vector[randn(100), randn(100)*100], axis = [:l :r], ylabel="LEFT", yrightlabel="RIGHT", xlabel="X", title="TITLE"))
]),
PlotExample("Arguments",
"Plot multiple series with different numbers of points. Mix arguments that apply to all series (marker/markersize) with arguments unique to each series (colors). Special arguments `line`, `marker`, and `fill` will automatically figure out what arguments to set (for example, we are setting the `linestyle`, `linewidth`, and `color` arguments with `line`.) Note that we pass a matrix of colors, and this applies the colors to each series.",
[
:(ys = Vector[rand(10), rand(20)]),
:(plot(ys, line=(:dot,4,[:black :orange]), marker=([:hex :d],12,0.8,stroke(3,:gray))))
]),
PlotExample("Build plot in pieces",
"Start with a base plot...",
[
:(plot(rand(100)/3, reg=true, fill=(0,:green)))
]),
PlotExample("",
"and add to it later.",
[
:(scatter!(rand(100), markersize=6, c=:orange))
]),
PlotExample("Heatmaps",
"",
[
:(heatmap(randn(10000),randn(10000), nbins=20))
]),
PlotExample("Line types",
"",
[
:(types = intersect(supportedTypes(), [:line, :path, :steppre, :steppost, :sticks, :scatter])'),
:(n = length(types)),
:(x = Vector[sort(rand(20)) for i in 1:n]),
:(y = rand(20,n)),
:(plot(x, y, line=(types,3), lab=map(string,types), ms=15))
]),
PlotExample("Line styles",
"",
[
:(styles = setdiff(supportedStyles(), [:auto])'),
:(plot(cumsum(randn(20,length(styles)),1), style=:auto, label=map(string,styles), w=5))
]),
PlotExample("Marker types",
"",
[
:(markers = setdiff(supportedMarkers(), [:none,:auto,Shape])'),
:(n = length(markers)),
:(x = linspace(0,10,n+2)[2:end-1]),
:(y = repmat(reverse(x)', n, 1)),
:(scatter(x, y, m=(8,:auto), lab=map(string,markers), bg=:linen))
]),
PlotExample("Bar",
"x is the midpoint of the bar. (todo: allow passing of edges instead of midpoints)",
[
:(bar(randn(999)))
]),
PlotExample("Histogram",
"",
[
:(histogram(randn(1000), nbins=20))
]),
PlotExample("Subplots",
"""
subplot and subplot! are distinct commands which create many plots and add series to them in a circular fashion.
You can define the layout with keyword params... either set the number of plots `n` (and optionally number of rows `nr` or
number of columns `nc`), or you can set the layout directly with `layout`.
""",
[
:(subplot(randn(100,5), layout=[1,1,3], t=[:line :hist :scatter :step :bar], nbins=10, leg=false))
]),
PlotExample("Adding to subplots",
"Note here the automatic grid layout, as well as the order in which new series are added to the plots.",
[
:(subplot(Plots.fakedata(100,10), n=4, palette=[:grays :blues :heat :lightrainbow], bg=[:orange :pink :darkblue :black]))
]),
PlotExample("",
"",
[
:(subplot!(Plots.fakedata(100,10)))
]),
PlotExample("Open/High/Low/Close",
"Create an OHLC chart. Pass in a vector of OHLC objects as your `y` argument. Adjust the tick width with arg `markersize`.",
[
:(n=20),
:(hgt=rand(n)+1),
:(bot=randn(n)),
:(openpct=rand(n)),
:(closepct=rand(n)),
:(y = [OHLC(openpct[i]*hgt[i]+bot[i], bot[i]+hgt[i], bot[i], closepct[i]*hgt[i]+bot[i]) for i in 1:n]),
:(ohlc(y; markersize=8))
]),
PlotExample("Annotations",
"Currently only text annotations are supported. Pass in a tuple or vector-of-tuples: (x,y,text). `annotate!(ann)` is shorthand for `plot!(; annotation=ann)`",
[
:(y = rand(10)),
:(plot(y, ann=(3,y[3],text("this is #3",:left)))),
:(annotate!([(5,y[5],text("this is #5",16,:red,:center)),
(10,y[10],text("this is #10",:right,20,"courier"))]))
]),
PlotExample("Custom Markers",
"A `Plots.Shape` is a light wrapper around vertices of a polygon. For supported backends, pass arbitrary polygons as the marker shapes. Note: The center is (0,0) and the size is expected to be rougly the area of the unit circle.",
[
:(verts = [(-1.0,1.0),(-1.28,0.6),(-0.2,-1.4),(0.2,-1.4),(1.28,0.6),(1.0,1.0),
(-1.0,1.0),(-0.2,-0.6),(0.0,-0.2),(-0.4,0.6),(1.28,0.6),(0.2,-1.4),
(-0.2,-1.4),(0.6,0.2),(-0.2,0.2),(0.0,-0.2),(0.2,0.2),(-0.2,-0.6)])
:(plot(0.1:0.2:0.9, 0.7rand(5)+0.15,
l=(3,:dash,:lightblue),
m=(Shape(verts),30,RGBA(0,0,0,0.2)),
bg=:pink, fg=:darkblue,
xlim = (0,1), ylim=(0,1), leg=false))
]),
PlotExample("Contours",
"",
[
:(x = 1:0.3:20),
:(y = x),
:(f(x,y) = sin(x)+cos(y)),
:(contour(x, y, f, fill=true))
]),
PlotExample("Pie",
"",
[
:(x = ["Nerds", "Hackers", "Scientists"]),
:(y = [0.4, 0.35, 0.25]),
:(pie(x, y, title="The Julia Community", l=0.5))
]),
PlotExample("3D",
"",
[
:(n = 100),
:(ts = linspace(0,8π,n)),
:(x = ts .* map(cos,ts)),
:(y = 0.1ts .* map(sin,ts)),
:(z = 1:n),
:(plot(x, y, z, zcolor=reverse(z), m=(10,0.8,:blues,stroke(0)), leg=false, w=5)),
:(plot!(zeros(n),zeros(n),1:n, w=10))
])
]
function createStringOfMarkDownCodeValues(arr, prefix = "")
string("`", prefix, join(sort(map(string, arr)), "`, `$prefix"), "`")
end
createStringOfMarkDownSymbols(arr) = isempty(arr) ? "" : createStringOfMarkDownCodeValues(arr, ":")
function generate_markdown(pkgname::Symbol)
# set up the backend, and don't show the plots by default
pkg = backend(pkgname)
# default(:show, false)
# mkdir if necessary
try
mkdir("$IMGDIR/$pkgname")
end
# open the markdown file
md = open("$DOCDIR/$(pkgname)_examples.md", "w")
write(md, "## Examples for backend: $pkgname\n\n")
write(md, "### Initialize\n\n```julia\nusing Plots\n$(pkgname)()\n```\n\n")
for (i,example) in enumerate(examples)
try
# we want to always produce consistent results
srand(1234)
# run the code
map(eval, example.exprs)
# # save the png
# imgname = "$(pkgname)_example_$i.png"
# NOTE: uncomment this to overwrite the images as well
if i == 2
imgname = "$(pkgname)_example_$i.gif"
gif(anim, "$IMGDIR/$pkgname/$imgname", fps=15)
else
imgname = "$(pkgname)_example_$i.png"
png("$IMGDIR/$pkgname/$imgname")
end
# write out the header, description, code block, and image link
write(md, "### $(example.header)\n\n")
write(md, "$(example.desc)\n\n")
write(md, "```julia\n$(join(map(string, example.exprs), "\n"))\n```\n\n")
write(md, "![](../img/$pkgname/$imgname)\n\n")
catch ex
# TODO: put error info into markdown?
warn("Example $pkgname:$i failed with: $ex")
end
#
end
write(md, "- Supported arguments: $(createStringOfMarkDownCodeValues(supportedArgs(pkg)))\n")
write(md, "- Supported values for axis: $(createStringOfMarkDownSymbols(supportedAxes(pkg)))\n")
write(md, "- Supported values for linetype: $(createStringOfMarkDownSymbols(supportedTypes(pkg)))\n")
write(md, "- Supported values for linestyle: $(createStringOfMarkDownSymbols(supportedStyles(pkg)))\n")
write(md, "- Supported values for marker: $(createStringOfMarkDownSymbols(supportedMarkers(pkg)))\n")
write(md, "- Is `subplot`/`subplot!` supported? $(subplotSupported(pkg) ? "Yes" : "No")\n\n")
write(md, "(Automatically generated: $(now()))")
close(md)
end
# make and display one plot
function test_examples(pkgname::Symbol, idx::Int; debug = true)
Plots._debugMode.on = debug
println("Testing plot: $pkgname:$idx:$(examples[idx].header)")
backend(pkgname)
backend()
map(eval, examples[idx].exprs)
plt = current()
gui(plt)
plt
end
# generate all plots and create a dict mapping idx --> plt
function test_examples(pkgname::Symbol; debug = false)
Plots._debugMode.on = debug
plts = Dict()
for i in 1:length(examples)
# if examples[i].header == "Subplots" && !subplotSupported()
# break
# end
try
plt = test_examples(pkgname, i, debug=debug)
plts[i] = plt
catch ex
# TODO: put error info into markdown?
warn("Example $pkgname:$i:$(examples[i].header) failed with: $ex")
end
end
plts
end
# axis # :left or :right
# color # can be a string ("red") or a symbol (:red) or a ColorsTypes.jl
# # Colorant (RGB(1,0,0)) or :auto (which lets the package pick)
# label # string or symbol, applies to that line, may go in a legend
# width # width of a line
# linetype # :line, :step, :stepinverted, :sticks, :scatter, :none, :heatmap, :hexbin, :hist, :bar
# linestyle # :solid, :dash, :dot, :dashdot, :dashdotdot
# marker # :none, :ellipse, :rect, :diamond, :utriangle, :dtriangle,
# # :cross, :xcross, :star1, :star2, :hexagon
# markercolor # same choices as `color`, or :match will set the color to be the same as `color`
# markersize # size of the marker
# nbins # number of bins for heatmap/hexbin and histograms
# heatmap_c # color cutoffs for Qwt heatmaps
# fill # fill value for area plots
# title # string or symbol, title of the plot
# xlabel # string or symbol, label on the bottom (x) axis
# ylabel # string or symbol, label on the left (y) axis
# yrightlabel # string or symbol, label on the right (y) axis
# reg # true or false, add a regression line for each line
# size # (Int,Int), resize the enclosing window
# pos # (Int,Int), move the enclosing window to this position
# windowtitle # string or symbol, set the title of the enclosing windowtitle
# screen # Integer, move enclosing window to this screen number (for multiscreen desktops)
@compat const _ltdesc = Dict(
:none => "No line",
:line => "Lines with sorted x-axis",
:path => "Lines",
:steppre => "Step plot (vertical then horizontal)",
:steppost => "Step plot (horizontal then vertical)",
:sticks => "Vertical lines",
:scatter => "Points, no lines",
:heatmap => "Colored regions by density",
:hexbin => "Similar to heatmap",
:hist => "Histogram (doesn't use x)",
:bar => "Bar plot (centered on x values)",
:hline => "Horizontal line (doesn't use x)",
:vline => "Vertical line (doesn't use x)",
:ohlc => "Open/High/Low/Close chart (expects y is AbstractVector{Plots.OHLC})",
:contour => "Contour lines (uses z)",
:path3d => "3D path (uses z)",
:scatter3d => "3D scatter plot (uses z)",
)
function buildReadme()
readme = readall("$DOCDIR/readme_template.md")
# build keyword arg table
table = "Keyword | Default | Type | Aliases \n---- | ---- | ---- | ----\n"
allseries = merge(Plots._seriesDefaults, @compat(Dict(:line=>nothing, :marker=>nothing, :fill=>nothing)))
allplots = merge(Plots._plotDefaults, @compat(Dict(:xaxis=>nothing, :yaxis=>nothing)))
alldefs = merge(allseries, allplots)
for k in Plots.sortedkeys(alldefs)
# for d in (Plots._seriesDefaults, Plots._plotDefaults)
# for k in Plots.sortedkeys(d)
aliasstr = createStringOfMarkDownSymbols(aliases(Plots._keyAliases, k))
table = string(table, "`:$k` | `$(alldefs[k])` | $(haskey(allseries,k) ? "Series" : "Plot") | $aliasstr \n")
# end
end
readme = replace(readme, "[[KEYWORD_ARGS_TABLE]]", table)
# build linetypes table
table = "Type | Desc | Aliases\n---- | ---- | ----\n"
for lt in Plots._allTypes
aliasstr = createStringOfMarkDownSymbols(aliases(Plots._typeAliases, lt))
table = string(table, "`:$lt` | $(_ltdesc[lt]) | $aliasstr \n")
end
readme = replace(readme, "[[LINETYPES_TABLE]]", table)
# build linestyles table
table = "Type | Aliases\n---- | ----\n"
for s in Plots._allStyles
aliasstr = createStringOfMarkDownSymbols(aliases(Plots._styleAliases, s))
table = string(table, "`:$s` | $aliasstr \n")
end
readme = replace(readme, "[[LINESTYLES_TABLE]]", table)
# build markers table
table = "Type | Aliases\n---- | ----\n"
for s in Plots._allMarkers
aliasstr = createStringOfMarkDownSymbols(aliases(Plots._markerAliases, s))
table = string(table, "`:$s` | $aliasstr \n")
end
readme = replace(readme, "[[MARKERS_TABLE]]", table)
readme_fn = Pkg.dir("Plots") * "/README.md"
f = open(readme_fn, "w")
write(f, readme)
close(f)
gadfly()
Plots.dumpSupportGraphs()
end
default(size=(500,300))
# run it!
# note: generate separately so it's easy to comment out
# @osx_only generate_markdown(:unicodeplots)
# generate_markdown(:qwt)
# generate_markdown(:gadfly)
# generate_markdown(:pyplot)
# generate_markdown(:immerse)
# generate_markdown(:winston)
end # module
-305
View File
@@ -1,305 +0,0 @@
# Plots
[![Build Status](https://travis-ci.org/tbreloff/Plots.jl.svg?branch=master)](https://travis-ci.org/tbreloff/Plots.jl)
[![Plots](http://pkg.julialang.org/badges/Plots_0.3.svg)](http://pkg.julialang.org/?pkg=Plots&ver=0.3)
[![Plots](http://pkg.julialang.org/badges/Plots_0.4.svg)](http://pkg.julialang.org/?pkg=Plots&ver=0.4)
<!-- [![Coverage Status](https://coveralls.io/repos/tbreloff/Plots.jl/badge.svg?branch=master)](https://coveralls.io/r/tbreloff/Plots.jl?branch=master) -->
<!-- [![codecov.io](http://codecov.io/github/tbreloff/Plots.jl/coverage.svg?branch=master)](http://codecov.io/github/tbreloff/Plots.jl?branch=master) -->
#### Author: Thomas Breloff (@tbreloff)
Plots is a plotting API and toolset. My goals with the package are:
- **Intuitive**. Start generating complex plots without reading volumes of documentation. Commands should "just work".
- **Concise**. Less code means fewer mistakes and more efficient development/analysis.
- **Flexible**. Produce your favorite plots from your favorite package, but quicker and simpler.
- **Consistent**. Don't commit to one graphics package. Use the same code and access the strengths of all backends.
- **Lightweight**. Very few dependencies, since backends are loaded and initialized dynamically.
Use the preprocessing pipeline in Plots to fully describe your visualization before it calls the backend code. This maintains modularity and allows for efficient separation of front end code, algorithms, and backend graphics. New graphical backends can be added with minimal effort.
Check out the [summary graphs](img/supported/supported.md) for the features that each backend supports.
Please add wishlist items, bugs, or any other comments/questions to the issues list.
## Examples for each implemented backend:
- [Gadfly.jl/Immerse.jl](https://github.com/tbreloff/ExamplePlots.jl/tree/master/docs/gadfly_examples.md)
- [PyPlot.jl](https://github.com/tbreloff/ExamplePlots.jl/tree/master/docs/pyplot_examples.md)
- [UnicodePlots.jl](https://github.com/tbreloff/ExamplePlots.jl/tree/master/docs/unicodeplots_examples.md)
- [Qwt.jl](https://github.com/tbreloff/ExamplePlots.jl/tree/master/docs/qwt_examples.md)
Also check out the many [IJulia notebooks](http://nbviewer.ipython.org/github/tbreloff/ExamplePlots.jl/tree/master/examples/) with many examples.
## Installation
First, add the package
```julia
Pkg.add("Plots")
# if you want the latest features:
Pkg.checkout("Plots")
# or for the bleeding edge:
Pkg.checkout("Plots", "dev")
```
then get any plotting packages you need (obviously, you should get at least one backend).
```julia
Pkg.add("Gadfly")
Pkg.add("Immerse")
Pkg.add("PyPlot")
Pkg.add("UnicodePlots")
Pkg.add("Qwt")
Pkg.add("Bokeh")
```
## Use
Load it in. The underlying plotting backends are not imported until `backend()` is called (which happens
on your first call to `plot` or `subplot`). This means that you don't need any backends to be installed when you call `using Plots`.
Plots will try to figure out a good default backend for you automatically based on what backends are installed.
```julia
using Plots
```
Do a plot in Gadfly (inspired by [this example](http://gadflyjl.org/geom_point.html)), then save a png:
```julia
gadfly() # switch to Gadfly as a backend
dataframes() # turn on support for DataFrames inputs
# load some data
using RDatasets
iris = dataset("datasets", "iris");
# This will bring up a browser window with the plot. Add a semicolon at the end to skip display.
scatter(iris, :SepalLength, :SepalWidth, group=:Species, m=([:+ :d :s], 12), smooth=0.99, bg=:black)
# save a png (equivalent to png("gadfly1.png") and savefig("gadfly1.png"))
png("gadfly1")
```
![gadfly_plt](img/gadfly1.png)
## API
Call `backend(backend::Symbol)` or the shorthands (`gadfly()`, `qwt()`, `unicodeplots()`, etc) to set the current plotting backend.
Subsequent commands are converted into the relevant plotting commands for that package:
```julia
gadfly()
plot(1:10) # this effectively calls `y = 1:10; Gadfly.plot(x=1:length(y), y=y)`
qwt()
plot(1:10) # this effectively calls `Qwt.plot(1:10)`
```
Use `plot` to create a new plot object, and `plot!` to add to an existing one:
```julia
plot(args...; kw...) # creates a new plot window, and sets it to be the `current`
plot!(args...; kw...) # adds to the `current`
plot!(plotobj, args...; kw...) # adds to the plot `plotobj`
```
Now that you know which plot object you're updating (new, current, or other), I'll leave it off for simplicity.
There are many ways to pass in data to the plot functions... some examples:
- Vector-like (subtypes of AbstractArray{T,1})
- Matrix-like (subtypes of AbstractArray{T,2})
- Vectors of Vectors
- Functions
- Vectors of Functions
- DataFrames with column symbols (initialize with `dataframes()`)
In general, you can pass in a `y` only, or an `x` and `y`, both of whatever type(s) you want, and Plots will slice up the data as needed.
For matrices, data is split by columns. For functions, data is mapped. For DataFrames, a Symbol/Symbols in place of x/y will map to
the relevant column(s).
Here are some example usages... remember you can always use `plot!` to update an existing plot, and that, unless specified, you will update the `current()`.
```julia
plot() # empty plot object
plot(4) # initialize with 4 empty series
plot(rand(10)) # plot 1 series... x = 1:10
plot(rand(10,5)) # plot 5 series... x = 1:10
plot(rand(10), rand(10)) # plot 1 series
plot(rand(10,5), rand(10)) # plot 5 series... y is the same for all
plot(sin, rand(10)) # y = sin(x)
plot(rand(10), sin) # same... y = sin(x)
plot([sin,cos], 0:0.1:π) # plot 2 series, sin(x) and cos(x)
plot([sin,cos], 0, π) # plot sin and cos on the range [0, π]
plot(1:10, Any[rand(10), sin]) # plot 2 series, y = rand(10) for the first, y = sin(x) for the second... x = 1:10 for both
plot(dataset("Ecdat", "Airline"), :Cost) # plot from a DataFrame (call `dataframes()` first to import DataFrames and initialize)
```
All plot methods accept a number of keyword arguments (see the tables below), which follow some rules:
- Many arguments have aliases which are replaced during preprocessing. `c` is the same as `color`, `m` is the same as `marker`, etc. You can choose how verbose you'd like to be. (see the tables below)
- There are some special arguments (`xaxis`, `yaxis`, `line`, `marker`, `fill` and the aliases `l`, `m`, `f`) which magically set many related things at once. (see the __Tip__ below)
- If the argument is a "matrix-type", then each column will map to a series, cycling through columns if there are fewer columns than series. Anything else will apply the argument value to every series.
- Many arguments accept many different types... for example the `color` (also `markercolor`, `fillcolor`, etc) argument will accept strings or symbols with a color name, or any `Colors.Colorant`, or a `ColorScheme`, or a symbol representing a `ColorGradient`, or an AbstractVector of colors/symbols/etc...
You can update certain plot settings after plot creation (not supported on all backends):
```julia
plot!(title = "New Title", xlabel = "New xlabel", ylabel = "New ylabel")
plot!(xlims = (0, 5.5), ylims = (-2.2, 6), xticks = 0:0.5:10, yticks = [0,1,5,10])
# using shorthands:
xaxis!("mylabel", :log10, :flip)
```
With `subplot`, create multiple plots at once, with flexible layout options:
```julia
y = rand(100,3)
subplot(y; n = 3) # create an automatic grid, and let it figure out the shape
subplot(y; n = 3, nr = 1) # create an automatic grid, but fix the number of rows
subplot(y; n = 3, nc = 1) # create an automatic grid, but fix the number of columns
subplot(y; layout = [1, 2]) # explicit layout. Lists the number of plots in each row
```
__Tip__: You can call `subplot!(args...; kw...)` to add to an existing subplot.
__Tip__: Calling `subplot!` on a `Plot` object, or `plot!` on a `Subplot` object will throw an error.
Shorthands:
```julia
scatter(args...; kw...) = plot(args...; kw..., linetype = :scatter)
scatter!(args...; kw...) = plot!(args...; kw..., linetype = :scatter)
bar(args...; kw...) = plot(args...; kw..., linetype = :bar)
bar!(args...; kw...) = plot!(args...; kw..., linetype = :bar)
histogram(args...; kw...) = plot(args...; kw..., linetype = :hist)
histogram!(args...; kw...) = plot!(args...; kw..., linetype = :hist)
heatmap(args...; kw...) = plot(args...; kw..., linetype = :heatmap)
heatmap!(args...; kw...) = plot!(args...; kw..., linetype = :heatmap)
sticks(args...; kw...) = plot(args...; kw..., linetype = :sticks, marker = :ellipse)
sticks!(args...; kw...) = plot!(args...; kw..., linetype = :sticks, marker = :ellipse)
hline(args...; kw...) = plot(args...; kw..., linetype = :hline)
hline!(args...; kw...) = plot!(args...; kw..., linetype = :hline)
vline(args...; kw...) = plot(args...; kw..., linetype = :vline)
vline!(args...; kw...) = plot!(args...; kw..., linetype = :vline)
ohlc(args...; kw...) = plot(args...; kw..., linetype = :ohlc)
ohlc!(args...; kw...) = plot!(args...; kw..., linetype = :ohlc)
title!(s::AbstractString) = plot!(title = s)
xlabel!(s::AbstractString) = plot!(xlabel = s)
ylabel!(s::AbstractString) = plot!(ylabel = s)
xlims!{T<:Real,S<:Real}(lims::Tuple{T,S}) = plot!(xlims = lims)
ylims!{T<:Real,S<:Real}(lims::Tuple{T,S}) = plot!(ylims = lims)
xticks!{T<:Real}(v::AVec{T}) = plot!(xticks = v)
yticks!{T<:Real}(v::AVec{T}) = plot!(yticks = v)
xflip!(flip::Bool = true) = plot!(xflip = flip)
yflip!(flip::Bool = true) = plot!(yflip = flip)
xaxis!(args...) = plot!(xaxis = args)
yaxis!(args...) = plot!(yaxis = args)
annotate!(anns) = plot!(annotation = anns)
```
### Keyword arguments:
[[KEYWORD_ARGS_TABLE]]
### Plot types:
[[LINETYPES_TABLE]]
### Line styles:
[[LINESTYLES_TABLE]]
### Markers:
[[MARKERS_TABLE]]
__Tip__: With supported backends, you can pass a `Plots.Shape` object for the `marker`/`markershape` arguments. `Shape` takes a vector of 2-tuples in the constructor, defining the points of the polygon's shape in a unit-scaled coordinate space. To make a square, for example, you could do `Shape([(1,1),(1,-1),(-1,-1),(-1,1)])`
__Tip__: You can see the default value for a given argument with `default(arg::Symbol)`, and set the default value with `default(arg::Symbol, value)` or `default(; kw...)`. For example set the default window size and whether we should show a legend with `default(size=(600,400), leg=false)`.
__Tip__: There are some helper arguments you can set: `xaxis`, `yaxis`, `line`, `marker`, `fill`. These go through special preprocessing to extract values into individual arguments. The order doesn't matter, and if you pass a single value it's equivalent to wrapping it in a Tuple. Examples:
```
plot(y, xaxis = ("mylabel", :log, :flip, (-1,1))) # this sets the `xlabel`, `xscale`, `xflip`, and `xlims` arguments automatically
plot(y, line = (:bar, :blue, :dot, 10)) # this sets the `linetype`, `color`, `linestyle`, and `linewidth` arguments automatically
plot(y, marker = (:rect, :red, 10)) # this sets the `markershape`, `markercolor`, and `markersize` arguments automatically
plot(y, fill = (:green, 10)) # this sets the `fillcolor` and `fillrange` arguments automatically
# Note: `fillrange` can be:
a number (fill to horizontal line)
a vector of numbers (different for each data point)
a tuple of vectors (fill a band)
```
__Tip__: When plotting multiple lines, you can set all series to use the same value, or pass in a matrix to cycle through values. Example:
```julia
plot(rand(100,4); color = [:red RGB(0,0,1)], # (Matrix) lines 1 and 3 are red, lines 2 and 4 are blue
axis = :auto, # lines 1 and 3 are on the left axis, lines 2 and 4 are on the right
markershape = [:rect, :star] # (Vector) ALL lines are passed the vector [:rect, :star1]
width = 5) # all lines have a width of 5
```
__Tip__: Not all features are supported for each backend, but you can see what's supported by calling the functions: `supportedArgs()`, `supportedAxes()`, `supportedTypes()`, `supportedStyles()`, `supportedMarkers()`, `subplotSupported()`
__Tip__: Call `gui()` to display the plot in a window. Interactivity depends on backend. Plotting at the REPL (without semicolon) implicitly calls `gui()`.
### Animations
Animations are created in 3 steps (see example #2):
- Initialize an `Animation` object.
- Save each frame of the animation with `frame(anim)`.
- Convert the frames to an animated gif with `gif(anim, filename, fps=15)`
## TODO features:
- [x] Plot vectors/matrices/functions
- [x] Plot DataFrames
- [x] Histograms
- [x] Grouping
- [x] Annotations
- [x] Scales
- [x] Categorical Inputs (strings, etc... for hist, bar? or can split one series into multiple?)
- [x] Custom markers
- [x] Animations
- [x] Subplots
- [ ] Contours
- [ ] Boxplots
- [ ] 3D plotting
- [ ] Scenes/Drawing
- [ ] Graphs
- [ ] Interactivity (GUIs)
## TODO backends:
- [x] Gadfly.jl
- [x] Immerse.jl
- [x] PyPlot.jl
- [x] UnicodePlots.jl
- [x] Qwt.jl
- [x] Winston.jl (deprecated)
- [ ] GLPlot.jl
- [ ] Bokeh.jl
- [ ] Vega.jl
- [ ] Gaston.jl
- [ ] Plotly.jl
- [ ] GoogleCharts.jl
- [ ] PLplot.jl
- [ ] TextPlots.jl
- [ ] ASCIIPlots.jl
- [ ] Sparklines.jl
- [ ] Hinton.jl
- [ ] ImageTerm.jl
- [ ] GraphViz.jl
- [ ] TikzGraphs.jl
- [ ] GraphLayout.jl
## More information on backends (both supported and unsupported)
See the wiki at: https://github.com/JuliaPlot/juliaplot_docs/wiki
Binary file not shown.

Before

Width:  |  Height:  |  Size: 86 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 76 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 7.5 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 30 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 12 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 11 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 28 KiB

-23
View File
@@ -1,23 +0,0 @@
## Supported keyword arguments
![args](Plots.supportGraphArgs.png)
## Supported plot types
![types](Plots.supportGraphTypes.png)
## Supported markers
![markers](Plots.supportGraphMarkers.png)
## Supported line styles
![styles](Plots.supportGraphStyles.png)
## Supported scales
![scales](Plots.supportGraphScales.png)
## Supported axes
![axes](Plots.supportGraphAxes.png)
-333
View File
@@ -1,333 +0,0 @@
immutable GadflyPackage <: PlottingPackage end
immutable ImmersePackage <: PlottingPackage end
immutable PyPlotPackage <: PlottingPackage end
immutable QwtPackage <: PlottingPackage end
immutable UnicodePlotsPackage <: PlottingPackage end
immutable WinstonPackage <: PlottingPackage end
immutable BokehPackage <: PlottingPackage end
immutable PlotlyPackage <: PlottingPackage end
immutable GRPackage <: PlottingPackage end
immutable GLVisualizePackage <: PlottingPackage end
immutable NoPackage <: PlottingPackage end
typealias GadflyOrImmerse @compat(Union{GadflyPackage, ImmersePackage})
export
gadfly,
immerse,
pyplot,
qwt,
unicodeplots,
bokeh,
plotly,
gr,
glvisualize
# winston
gadfly(; kw...) = (default(; kw...); backend(:gadfly))
immerse(; kw...) = (default(; kw...); backend(:immerse))
pyplot(; kw...) = (default(; kw...); backend(:pyplot))
qwt(; kw...) = (default(; kw...); backend(:qwt))
unicodeplots(; kw...) = (default(; kw...); backend(:unicodeplots))
bokeh(; kw...) = (default(; kw...); backend(:bokeh))
plotly(; kw...) = (default(; kw...); backend(:plotly))
gr(; kw...) = (default(; kw...); backend(:gr))
glvisualize(; kw...) = (default(; kw...); backend(:glvisualize))
# winston(; kw...) = (default(; kw...); backend(:winston))
backend_name(::GadflyPackage) = :gadfly
backend_name(::ImmersePackage) = :immerse
backend_name(::PyPlotPackage) = :pyplot
backend_name(::UnicodePlotsPackage) = :unicodeplots
backend_name(::QwtPackage) = :qwt
backend_name(::BokehPackage) = :bokeh
backend_name(::PlotlyPackage) = :plotly
backend_name(::GRPackage) = :gr
backend_name(::GLVisualizePackage) = :glvisualize
backend_name(::NoPackage) = :none
include("backends/supported.jl")
include("backends/qwt.jl")
include("backends/gadfly.jl")
include("backends/unicodeplots.jl")
include("backends/pyplot.jl")
include("backends/immerse.jl")
include("backends/winston.jl")
include("backends/web.jl")
include("backends/bokeh.jl")
include("backends/plotly.jl")
include("backends/gr.jl")
include("backends/glvisualize.jl")
# ---------------------------------------------------------
plot(pkg::PlottingPackage; kw...) = error("plot($pkg; kw...) is not implemented")
plot!(pkg::PlottingPackage, plt::Plot; kw...) = error("plot!($pkg, plt; kw...) is not implemented")
_update_plot(pkg::PlottingPackage, plt::Plot, d::Dict) = error("_update_plot($pkg, plt, d) is not implemented")
# Base.display(pkg::PlottingPackage, plt::Plot) = error("display($pkg, plt) is not implemented")
_update_plot_pos_size{P<:PlottingPackage}(plt::PlottingObject{P}, d::Dict) = nothing #error("_update_plot_pos_size(plt,d) is not implemented for $P")
subplot(pkg::PlottingPackage; kw...) = error("subplot($pkg; kw...) is not implemented")
subplot!(pkg::PlottingPackage, subplt::Subplot; kw...) = error("subplot!($pkg, subplt; kw...) is not implemented")
# Base.display(pkg::PlottingPackage, subplt::Subplot) = error("display($pkg, subplt) is not implemented")
# ---------------------------------------------------------
const BACKENDS = [:qwt, :gadfly, :unicodeplots, :pyplot, :immerse, :bokeh, :plotly, :gr]
const _initialized_backends = Set{Symbol}()
backends() = BACKENDS
function _backend_instance(sym::Symbol)
sym == :qwt && return QwtPackage()
sym == :gadfly && return GadflyPackage()
sym == :unicodeplots && return UnicodePlotsPackage()
sym == :pyplot && return PyPlotPackage()
sym == :immerse && return ImmersePackage()
sym == :winston && return WinstonPackage()
sym == :bokeh && return BokehPackage()
sym == :plotly && return PlotlyPackage()
sym == :gr && return GRPackage()
sym == :glvisualize && return GLVisualizePackage()
sym == :none && return NoPackage()
error("Unsupported backend $sym")
end
type CurrentBackend
sym::Symbol
pkg::PlottingPackage
end
CurrentBackend(sym::Symbol) = CurrentBackend(sym, _backend_instance(sym))
# ---------------------------------------------------------
function pickDefaultBackend()
for pkgstr in ("PyPlot", "Immerse", "Qwt", "Gadfly", "GR", "UnicodePlots", "Bokeh", "GLVisualize")
if Pkg.installed(pkgstr) != nothing
return backend(symbol(lowercase(pkgstr)))
end
end
backend(:plotly)
end
# ---------------------------------------------------------
"""
Returns the current plotting package name. Initializes package on first call.
"""
function backend()
global CURRENT_BACKEND
if CURRENT_BACKEND.sym == :none
pickDefaultBackend()
end
currentBackendSymbol = CURRENT_BACKEND.sym
if !(currentBackendSymbol in _initialized_backends)
# initialize
println("[Plots.jl] Initializing backend: ", CURRENT_BACKEND.sym)
if currentBackendSymbol == :qwt
try
@eval import Qwt
@eval export Qwt
catch err
warn("Couldn't import Qwt. Install it with: Pkg.clone(\"https://github.com/tbreloff/Qwt.jl.git\")\n (Note: also requires pyqt and pyqwt).")
rethrow(err)
end
elseif currentBackendSymbol == :gadfly
try
@eval import Gadfly, Compose
@eval export Gadfly, Compose
@eval include(joinpath(Pkg.dir("Plots"), "src", "backends", "gadfly_shapes.jl"))
catch err
warn("Couldn't import Gadfly. Install it with: Pkg.add(\"Gadfly\").")
rethrow(err)
end
elseif currentBackendSymbol == :unicodeplots
try
@eval import UnicodePlots
@eval export UnicodePlots
catch err
warn("Couldn't import UnicodePlots. Install it with: Pkg.add(\"UnicodePlots\").")
rethrow(err)
end
elseif currentBackendSymbol == :pyplot
try
@eval import PyPlot
@eval export PyPlot
@eval const pycolors = PyPlot.pywrap(PyPlot.pyimport("matplotlib.colors"))
@eval const pypath = PyPlot.pywrap(PyPlot.pyimport("matplotlib.path"))
@eval const mplot3d = PyPlot.pywrap(PyPlot.pyimport("mpl_toolkits.mplot3d"))
# @eval const pycolorbar = PyPlot.pywrap(PyPlot.pyimport("matplotlib.colorbar"))
if !isa(Base.Multimedia.displays[end], Base.REPL.REPLDisplay)
PyPlot.ioff() # stops wierd behavior of displaying incomplete graphs in IJulia
# # TODO: how the hell can I use PyQt4??
# "pyqt4"=>:qt_pyqt4
# PyPlot.backend[1] = "pyqt4"
# PyPlot.gui[1] = :qt_pyqt4
# PyPlot.switch_backend("Qt4Agg")
# only turn on the gui if we want it
if PyPlot.gui != :none
PyPlot.pygui(true)
end
end
catch err
warn("Couldn't import PyPlot. Install it with: Pkg.add(\"PyPlot\").")
rethrow(err)
end
elseif currentBackendSymbol == :immerse
try
@eval import Immerse, Gadfly, Compose, Gtk
@eval export Immerse, Gadfly, Compose, Gtk
@eval include(joinpath(Pkg.dir("Plots"), "src", "backends", "gadfly_shapes.jl"))
catch err
# error("Couldn't import Immerse. Install it with: Pkg.add(\"Immerse\").\n Error: ", err)
warn("Couldn't import Immerse. Install it with: Pkg.add(\"Immerse\").")
rethrow(err)
end
elseif currentBackendSymbol == :bokeh
try
@eval import Bokeh
@eval export Bokeh
catch err
warn("Couldn't import Bokeh. Install it with: Pkg.add(\"Bokeh\").")
rethrow(err)
end
elseif currentBackendSymbol == :plotly
try
@eval begin
import JSON
JSON._print(io::IO, state::JSON.State, dt::Union{Date,DateTime}) = print(io, '"', dt, '"')
############################
# borrowed from https://github.com/spencerlyon2/Plotlyjs.jl/blob/master/src/display.jl
_js_path = joinpath(Pkg.dir("Plots"), "deps", "plotly-latest.min.js")
# if we're in IJulia call setupnotebook to load js and css
if isijulia()
# the first script is some hack I needed to do in order for the notebook
# to not complain about Plotly being undefined
display("text/html", """
<script type="text/javascript">
require=requirejs=define=undefined;
</script>
<script type="text/javascript">
$(open(readall, _js_path, "r"))
</script>
""")
# display("text/html", "<p>Plotly javascript loaded.</p>")
end
# end borrowing (thanks :)
###########################
try
include(joinpath(Pkg.dir("Plots"), "src", "backends", "plotly_blink.jl"))
catch err
warn("Error including PlotlyJS: $err\n Note: Will fall back to built-in display.")
end
end
catch err
warn("Couldn't setup Plotly")
rethrow(err)
end
elseif currentBackendSymbol == :gr
try
@eval import GR
catch err
warn("Couldn't import GR. Install it with: Pkg.add(\"GR\").")
end
elseif currentBackendSymbol == :glvisualize
try
@eval import GLVisualize
@eval export GLVisualize
catch err
warn("Couldn't setup GLVisualize")
rethrow(err)
end
elseif currentBackendSymbol == :winston
warn("Winston support is deprecated and broken. Try another backend: $BACKENDS")
try
@eval ENV["WINSTON_OUTPUT"] = "gtk"
@eval import Winston, Gtk
@eval export Winston, Gtk
catch err
warn("Couldn't import Winston. Install it with: Pkg.add(\"Winston\").")
rethrow(err)
end
else
error("Unknown backend $currentBackendSymbol. Choose from: $BACKENDS")
end
push!(_initialized_backends, currentBackendSymbol)
end
CURRENT_BACKEND.pkg
end
"""
Set the plot backend. Choose from: :qwt, :gadfly, :unicodeplots, :immerse, :pyplot
"""
function backend(pkg::PlottingPackage)
CURRENT_BACKEND.sym = backend_name(pkg)
CURRENT_BACKEND.pkg = pkg
end
function backend(modname)
# set the PlottingPackage
if modname == :qwt
CURRENT_BACKEND.pkg = QwtPackage()
elseif modname == :gadfly
CURRENT_BACKEND.pkg = GadflyPackage()
elseif modname == :unicodeplots
CURRENT_BACKEND.pkg = UnicodePlotsPackage()
elseif modname == :pyplot
CURRENT_BACKEND.pkg = PyPlotPackage()
elseif modname == :immerse
CURRENT_BACKEND.pkg = ImmersePackage()
elseif modname == :winston
CURRENT_BACKEND.pkg = WinstonPackage()
elseif modname == :bokeh
CURRENT_BACKEND.pkg = BokehPackage()
elseif modname == :plotly
CURRENT_BACKEND.pkg = PlotlyPackage()
elseif modname == :gr
CURRENT_BACKEND.pkg = GRPackage()
elseif modname == :glvisualize
CURRENT_BACKEND.pkg = GLVisualizePackage()
else
error("Unknown backend $modname. Choose from: $BACKENDS")
end
# update the symbol
CURRENT_BACKEND.sym = modname
# println("[Plots.jl] Switched to backend: ", modname)
# return the package
CURRENT_BACKEND.pkg
end
Binary file not shown.

Before

Width:  |  Height:  |  Size: 54 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 17 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 52 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 37 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 117 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 22 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 12 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 50 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 68 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 89 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 40 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 24 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 26 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 184 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 76 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 66 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 45 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 28 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 43 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 44 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 56 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 47 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 98 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 42 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 36 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 39 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 18 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 11 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 33 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 60 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 68 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 42 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 26 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 17 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 115 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 40 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 23 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 58 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 30 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 50 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 37 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 52 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 31 KiB

-21
View File
@@ -1,21 +0,0 @@
function testplot_line1()
plot(rand(100,3))
end
function testplot_fn1()
plot(0:0.01:4π, [sin,cos])
end
function testplot_guides1()
plot(rand(10); title="TITLE", xlabel="XLABEL", ylabel="YLABEL", background_color=:red)
end
function testplot_points1()
plot(Vector[rand(10), rand(20)]; marker=:ellipse, markersize=8)
end
function testplot_points2()
plot(Vector[rand(10), rand(20)]; marker=:ellipse, markersize=8, markercolors=[:red,:blue])
end
+8
View File
@@ -0,0 +1,8 @@
#TODO: download https://cdn.plot.ly/plotly-latest.min.js to deps/ if it doesn't exist
local_fn = joinpath(dirname(@__FILE__), "plotly-latest.min.js")
if !isfile(local_fn)
info("Cannot find deps/plotly-latest.min.js... downloading latest version.")
download("https://cdn.plot.ly/plotly-latest.min.js", local_fn)
end
-41
View File
File diff suppressed because one or more lines are too long
+181 -182
View File
@@ -6,123 +6,128 @@ module Plots
using Compat
using Reexport
@reexport using Colors
using Requires
# using Requires
using FixedSizeArrays
@reexport using RecipesBase
using Base.Meta
export
Plot,
Subplot,
SubplotLayout,
GridLayout,
FlexLayout,
AVec,
AMat,
AbstractPlot,
Plot,
Subplot,
AbstractLayout,
GridLayout,
grid,
EmptyLayout,
bbox,
plotarea,
@layout,
AVec,
AMat,
KW,
plot,
plot!,
subplot,
subplot!,
wrap,
set_theme,
add_theme,
current,
default,
with,
scatter,
scatter!,
bar,
bar!,
histogram,
histogram!,
density,
density!,
heatmap,
heatmap!,
hexbin,
hexbin!,
sticks,
sticks!,
hline,
hline!,
vline,
vline!,
ohlc,
ohlc!,
pie,
pie!,
contour,
contour!,
surface,
surface!,
wireframe,
wireframe!,
path3d,
path3d!,
plot3d,
plot3d!,
scatter3d,
scatter3d!,
abline!,
plot,
plot!,
title!,
xlabel!,
ylabel!,
xlims!,
ylims!,
xticks!,
yticks!,
annotate!,
xflip!,
yflip!,
xaxis!,
yaxis!,
current,
default,
with,
savefig,
png,
gui,
@userplot,
@shorthands,
backend,
backends,
backend_name,
aliases,
dataframes,
pie,
pie!,
plot3d,
plot3d!,
Shape,
text,
font,
stroke,
brush,
Surface,
OHLC,
title!,
xlabel!,
ylabel!,
xlims!,
ylims!,
zlims!,
xticks!,
yticks!,
annotate!,
xflip!,
yflip!,
xaxis!,
yaxis!,
colorscheme,
ColorScheme,
ColorGradient,
ColorVector,
ColorWrapper,
ColorFunction,
ColorZFunction,
getColor,
getColorZ,
savefig,
png,
gui,
debugplots,
backend,
backends,
backend_name,
aliases,
dataframes,
supportedArgs,
supportedAxes,
supportedTypes,
supportedStyles,
supportedMarkers,
subplotSupported,
Shape,
text,
font,
Axis,
stroke,
brush,
Surface,
OHLC,
arrow,
Animation,
frame,
gif,
@animate,
colorscheme,
ColorScheme,
ColorGradient,
ColorVector,
ColorWrapper,
ColorFunction,
ColorZFunction,
getColor,
getColorZ,
# recipes
PlotRecipe,
# EllipseRecipe,
# spy,
corrplot
debugplots,
supported_args,
supported_types,
supported_styles,
supported_markers,
is_subplot_supported,
Animation,
frame,
gif,
@animate,
@gif,
PlotRecipe,
spy,
arcdiagram,
chorddiagram,
test_examples,
iter_segments,
translate,
translate!,
rotate,
rotate!,
center,
P2,
P3,
BezierCurve,
curve_points,
directed_curve
# ---------------------------------------------------------
import Measures
import Measures: Length, AbsoluteLength, Measure, BoundingBox, mm, cm, inch, pt, width, height, w, h
typealias BBox Measures.Absolute2DBox
export BBox, BoundingBox, mm, cm, inch, pt, px, pct, w, h
# ---------------------------------------------------------
@@ -130,65 +135,77 @@ include("types.jl")
include("utils.jl")
include("colors.jl")
include("components.jl")
include("plotter2.jl")
include("axes.jl")
include("backends.jl")
include("args.jl")
include("themes.jl")
include("plot.jl")
include("subplot.jl")
include("series_args.jl")
include("series_new.jl")
include("layouts.jl")
include("subplots.jl")
include("recipes.jl")
include("animation.jl")
include("output.jl")
include("examples.jl")
include("arg_desc.jl")
# ---------------------------------------------------------
scatter(args...; kw...) = plot(args...; kw..., linetype = :scatter)
scatter!(args...; kw...) = plot!(args...; kw..., linetype = :scatter)
bar(args...; kw...) = plot(args...; kw..., linetype = :bar)
bar!(args...; kw...) = plot!(args...; kw..., linetype = :bar)
histogram(args...; kw...) = plot(args...; kw..., linetype = :hist)
histogram!(args...; kw...) = plot!(args...; kw..., linetype = :hist)
density(args...; kw...) = plot(args...; kw..., linetype = :density)
density!(args...; kw...) = plot!(args...; kw..., linetype = :density)
heatmap(args...; kw...) = plot(args...; kw..., linetype = :heatmap)
heatmap!(args...; kw...) = plot!(args...; kw..., linetype = :heatmap)
hexbin(args...; kw...) = plot(args...; kw..., linetype = :hexbin)
hexbin!(args...; kw...) = plot!(args...; kw..., linetype = :hexbin)
sticks(args...; kw...) = plot(args...; kw..., linetype = :sticks, marker = :ellipse)
sticks!(args...; kw...) = plot!(args...; kw..., linetype = :sticks, marker = :ellipse)
hline(args...; kw...) = plot(args...; kw..., linetype = :hline)
hline!(args...; kw...) = plot!(args...; kw..., linetype = :hline)
vline(args...; kw...) = plot(args...; kw..., linetype = :vline)
vline!(args...; kw...) = plot!(args...; kw..., linetype = :vline)
ohlc(args...; kw...) = plot(args...; kw..., linetype = :ohlc)
ohlc!(args...; kw...) = plot!(args...; kw..., linetype = :ohlc)
pie(args...; kw...) = plot(args...; kw..., linetype = :pie)
pie!(args...; kw...) = plot!(args...; kw..., linetype = :pie)
contour(args...; kw...) = plot(args...; kw..., linetype = :contour)
contour!(args...; kw...) = plot!(args...; kw..., linetype = :contour)
surface(args...; kw...) = plot(args...; kw..., linetype = :surface)
surface!(args...; kw...) = plot!(args...; kw..., linetype = :surface)
wireframe(args...; kw...) = plot(args...; kw..., linetype = :wireframe)
wireframe!(args...; kw...) = plot!(args...; kw..., linetype = :wireframe)
path3d(args...; kw...) = plot(args...; kw..., linetype = :path3d)
path3d!(args...; kw...) = plot!(args...; kw..., linetype = :path3d)
plot3d(args...; kw...) = plot(args...; kw..., linetype = :path3d)
plot3d!(args...; kw...) = plot!(args...; kw..., linetype = :path3d)
scatter3d(args...; kw...) = plot(args...; kw..., linetype = :scatter3d)
scatter3d!(args...; kw...) = plot!(args...; kw..., linetype = :scatter3d)
# define and export shorthand plotting method definitions
macro shorthands(funcname::Symbol)
funcname2 = Symbol(funcname, "!")
esc(quote
export $funcname, $funcname2
$funcname(args...; kw...) = plot(args...; kw..., seriestype = $(quot(funcname)))
$funcname2(args...; kw...) = plot!(args...; kw..., seriestype = $(quot(funcname)))
end)
end
@shorthands scatter
@shorthands bar
@shorthands barh
@shorthands histogram
@shorthands histogram2d
@shorthands density
@shorthands heatmap
@shorthands hexbin
@shorthands sticks
@shorthands hline
@shorthands vline
@shorthands ohlc
@shorthands contour
@shorthands contour3d
@shorthands surface
@shorthands wireframe
@shorthands path3d
@shorthands scatter3d
@shorthands boxplot
@shorthands violin
@shorthands quiver
@shorthands curves
pie(args...; kw...) = plot(args...; kw..., seriestype = :pie, aspect_ratio = :equal, grid=false, xticks=nothing, yticks=nothing)
pie!(args...; kw...) = plot!(args...; kw..., seriestype = :pie, aspect_ratio = :equal, grid=false, xticks=nothing, yticks=nothing)
plot3d(args...; kw...) = plot(args...; kw..., seriestype = :path3d)
plot3d!(args...; kw...) = plot!(args...; kw..., seriestype = :path3d)
title!(s::@compat(AbstractString); kw...) = plot!(; title = s, kw...)
xlabel!(s::@compat(AbstractString); kw...) = plot!(; xlabel = s, kw...)
ylabel!(s::@compat(AbstractString); kw...) = plot!(; ylabel = s, kw...)
xlims!{T<:Real,S<:Real}(lims::@compat(Tuple{T,S}); kw...) = plot!(; xlims = lims, kw...)
ylims!{T<:Real,S<:Real}(lims::@compat(Tuple{T,S}); kw...) = plot!(; ylims = lims, kw...)
title!(s::AbstractString; kw...) = plot!(; title = s, kw...)
xlabel!(s::AbstractString; kw...) = plot!(; xlabel = s, kw...)
ylabel!(s::AbstractString; kw...) = plot!(; ylabel = s, kw...)
xlims!{T<:Real,S<:Real}(lims::Tuple{T,S}; kw...) = plot!(; xlims = lims, kw...)
ylims!{T<:Real,S<:Real}(lims::Tuple{T,S}; kw...) = plot!(; ylims = lims, kw...)
zlims!{T<:Real,S<:Real}(lims::Tuple{T,S}; kw...) = plot!(; zlims = lims, kw...)
xlims!(xmin::Real, xmax::Real; kw...) = plot!(; xlims = (xmin,xmax), kw...)
ylims!(ymin::Real, ymax::Real; kw...) = plot!(; ylims = (ymin,ymax), kw...)
zlims!(zmin::Real, zmax::Real; kw...) = plot!(; zlims = (zmin,zmax), kw...)
xticks!{T<:Real}(v::AVec{T}; kw...) = plot!(; xticks = v, kw...)
yticks!{T<:Real}(v::AVec{T}; kw...) = plot!(; yticks = v, kw...)
xticks!{T<:Real,S<:@compat(AbstractString)}(
xticks!{T<:Real,S<:AbstractString}(
ticks::AVec{T}, labels::AVec{S}; kw...) = plot!(; xticks = (ticks,labels), kw...)
yticks!{T<:Real,S<:@compat(AbstractString)}(
yticks!{T<:Real,S<:AbstractString}(
ticks::AVec{T}, labels::AVec{S}; kw...) = plot!(; yticks = (ticks,labels), kw...)
annotate!(anns...; kw...) = plot!(; annotation = anns, kw...)
annotate!{T<:Tuple}(anns::AVec{T}; kw...) = plot!(; annotation = anns, kw...)
@@ -197,18 +214,20 @@ yflip!(flip::Bool = true; kw...) = plot!(; yflip = flip
xaxis!(args...; kw...) = plot!(; xaxis = args, kw...)
yaxis!(args...; kw...) = plot!(; yaxis = args, kw...)
title!(plt::Plot, s::@compat(AbstractString); kw...) = plot!(plt; title = s, kw...)
xlabel!(plt::Plot, s::@compat(AbstractString); kw...) = plot!(plt; xlabel = s, kw...)
ylabel!(plt::Plot, s::@compat(AbstractString); kw...) = plot!(plt; ylabel = s, kw...)
xlims!{T<:Real,S<:Real}(plt::Plot, lims::@compat(Tuple{T,S}); kw...) = plot!(plt; xlims = lims, kw...)
ylims!{T<:Real,S<:Real}(plt::Plot, lims::@compat(Tuple{T,S}); kw...) = plot!(plt; ylims = lims, kw...)
title!(plt::Plot, s::AbstractString; kw...) = plot!(plt; title = s, kw...)
xlabel!(plt::Plot, s::AbstractString; kw...) = plot!(plt; xlabel = s, kw...)
ylabel!(plt::Plot, s::AbstractString; kw...) = plot!(plt; ylabel = s, kw...)
xlims!{T<:Real,S<:Real}(plt::Plot, lims::Tuple{T,S}; kw...) = plot!(plt; xlims = lims, kw...)
ylims!{T<:Real,S<:Real}(plt::Plot, lims::Tuple{T,S}; kw...) = plot!(plt; ylims = lims, kw...)
zlims!{T<:Real,S<:Real}(plt::Plot, lims::Tuple{T,S}; kw...) = plot!(plt; zlims = lims, kw...)
xlims!(plt::Plot, xmin::Real, xmax::Real; kw...) = plot!(plt; xlims = (xmin,xmax), kw...)
ylims!(plt::Plot, ymin::Real, ymax::Real; kw...) = plot!(plt; ylims = (ymin,ymax), kw...)
zlims!(plt::Plot, zmin::Real, zmax::Real; kw...) = plot!(plt; zlims = (zmin,zmax), kw...)
xticks!{T<:Real}(plt::Plot, ticks::AVec{T}; kw...) = plot!(plt; xticks = ticks, kw...)
yticks!{T<:Real}(plt::Plot, ticks::AVec{T}; kw...) = plot!(plt; yticks = ticks, kw...)
xticks!{T<:Real,S<:@compat(AbstractString)}(plt::Plot,
xticks!{T<:Real,S<:AbstractString}(plt::Plot,
ticks::AVec{T}, labels::AVec{S}; kw...) = plot!(plt; xticks = (ticks,labels), kw...)
yticks!{T<:Real,S<:@compat(AbstractString)}(plt::Plot,
yticks!{T<:Real,S<:AbstractString}(plt::Plot,
ticks::AVec{T}, labels::AVec{S}; kw...) = plot!(plt; yticks = (ticks,labels), kw...)
annotate!(plt::Plot, anns...; kw...) = plot!(plt; annotation = anns, kw...)
annotate!{T<:Tuple}(plt::Plot, anns::AVec{T}; kw...) = plot!(plt; annotation = anns, kw...)
@@ -221,38 +240,18 @@ yaxis!(plt::Plot, args...; kw...) = plot!(pl
# ---------------------------------------------------------
# try
# import DataFrames
# dataframes()
# end
# const CURRENT_BACKEND = pickDefaultBackend()
# for be in backends()
# try
# backend(be)
# backend()
# catch err
# @show err
# end
# end
const CURRENT_BACKEND = CurrentBackend(:none)
# function __init__()
# # global const CURRENT_BACKEND = pickDefaultBackend()
# # global const CURRENT_BACKEND = CurrentBackend(:none)
function __init__()
setup_ijulia()
setup_atom()
# # global CURRENT_BACKEND
# # println("[Plots.jl] Default backend: ", CURRENT_BACKEND.sym)
# # # auto init dataframes if the import statement doesn't error out
# # try
# # @eval import DataFrames
# # dataframes()
# # end
# end
if haskey(ENV, "PLOTS_DEFAULTS")
for (k,v) in eval(parse(ENV["PLOTS_DEFAULTS"]))
default(k, v)
end
end
end
# ---------------------------------------------------------
+82 -25
View File
@@ -1,15 +1,15 @@
immutable Animation
dir::ASCIIString
frames::Vector{ASCIIString}
dir::Compat.ASCIIString
frames::Vector{Compat.ASCIIString}
end
function Animation()
tmpdir = convert(ASCIIString, mktempdir())
Animation(tmpdir, ASCIIString[])
tmpdir = convert(Compat.ASCIIString, mktempdir())
Animation(tmpdir, Compat.ASCIIString[])
end
function frame{P<:PlottingObject}(anim::Animation, plt::P=current())
function frame{P<:AbstractPlot}(anim::Animation, plt::P=current())
i = length(anim.frames) + 1
filename = @sprintf("%06d.png", i)
png(plt, joinpath(anim.dir, filename))
@@ -21,20 +21,27 @@ end
"Wraps the location of an animated gif so that it can be displayed"
immutable AnimatedGif
filename::ASCIIString
filename::Compat.ASCIIString
end
function gif(anim::Animation, fn::@compat(AbstractString) = "tmp.gif"; fps::Integer = 20)
function gif(anim::Animation, fn = tempname()*".gif"; fps::Integer = 20)
fn = abspath(fn)
try
# high quality
speed = round(Int, 100 / fps)
run(`convert -delay $speed -loop 0 $(anim.dir)/*.png $fn`)
file = joinpath(Pkg.dir("ImageMagick"), "deps","deps.jl")
if isfile(file) && !haskey(ENV, "MAGICK_CONFIGURE_PATH")
include(file)
end
prefix = get(ENV, "MAGICK_CONFIGURE_PATH", "")
run(`$(joinpath(prefix, "convert")) -delay $speed -loop 0 $(joinpath(anim.dir, "*.png")) -alpha off $fn`)
catch err
warn("Tried to create gif using convert (ImageMagick), but got error: $err\nWill try ffmpeg, but it's lower quality...)")
warn("""Tried to create gif using convert (ImageMagick), but got error: $err
ImageMagick can be installed by executing `Pkg.add("ImageMagick")`
Will try ffmpeg, but it's lower quality...)""")
# low quality
run(`ffmpeg -v 0 -framerate $fps -i $(anim.dir)/%06d.png -y $fn`)
@@ -55,6 +62,69 @@ end
# -----------------------------------------------
function _animate(forloop::Expr, args...; callgif = false)
if forloop.head != :for
error("@animate macro expects a for-block. got: $(forloop.head)")
end
# add the call to frame to the end of each iteration
animsym = gensym("anim")
countersym = gensym("counter")
block = forloop.args[2]
# create filter
n = length(args)
filterexpr = if n == 0
# no filter... every iteration gets a frame
true
elseif args[1] == :every
# filter every `freq` frames (starting with the first frame)
@assert n == 2
freq = args[2]
@assert isa(freq, Integer) && freq > 0
:(mod1($countersym, $freq) == 1)
elseif args[1] == :when
# filter on custom expression
@assert n == 2
args[2]
else
error("Unsupported animate filter: $args")
end
push!(block.args, :(if $filterexpr; frame($animsym); end))
push!(block.args, :($countersym += 1))
# add a final call to `gif(anim)`?
retval = callgif ? :(gif($animsym)) : animsym
# full expression:
esc(quote
$animsym = Animation() # init animation object
$countersym = 1 # init iteration counter
$forloop # for loop, saving a frame after each iteration
$retval # return the animation object, or the gif
end)
end
"""
Builds an `Animation` using one frame per loop iteration, then create an animated GIF.
Example:
```
p = plot(1)
@gif for x=0:0.1:5
push!(p, 1, sin(x))
end
```
"""
macro gif(forloop::Expr, args...)
_animate(forloop, args...; callgif = true)
end
"""
Collect one frame per for-block iteration and return an `Animation` object.
@@ -65,22 +135,9 @@ Example:
anim = @animate for x=0:0.1:5
push!(p, 1, sin(x))
end
gif(anim)
```
"""
macro animate(forloop::Expr)
if forloop.head != :for
error("@animate macro expects a for-block. got: $(forloop.head)")
end
# add the call to frame to the end of each iteration
animsym = gensym("anim")
block = forloop.args[2]
push!(block.args, :(frame($animsym)))
# full expression:
esc(quote
$animsym = Animation() # init animation object
$forloop # for loop, saving a frame after each iteration
$animsym # return the animation object
end)
macro animate(forloop::Expr, args...)
_animate(forloop, args...)
end
+107
View File
@@ -0,0 +1,107 @@
const _arg_desc = KW(
# series args
:label => "String type. The label for a series, which appears in a legend. If empty, no legend entry is added.",
:seriescolor => "Color Type. The base color for this series. `:auto` (the default) will select a color from the subplot's `color_palette`, based on the order it was added to the subplot",
:seriesalpha => "Number in [0,1]. The alpha/opacity override for the series. `nothing` (the default) means it will take the alpha value of the color.",
:seriestype => "Symbol. This is the identifier of the type of visualization for this series. Choose from $(_allTypes) or any series recipes which are defined.",
:linestyle => "Symbol. Style of the line (for path and bar stroke). Choose from $(_allStyles)",
:linewidth => "Number. Width of the line (in pixels)",
:linecolor => "Color Type. Color of the line (for path and bar stroke). `:match` will take the value from `:seriescolor`, (though histogram/bar types use `:black` as a default).",
:linealpha => "Number in [0,1]. The alpha/opacity override for the line. `nothing` (the default) means it will take the alpha value of linecolor.",
:fillrange => "Number or AbstractVector. Fills area from this to y for line-types, sets the base for bar/stick types, and similar for other types.",
:fillcolor => "Color Type. Color of the filled area of path or bar types. `:match` will take the value from `:seriescolor`.",
:fillalpha => "Number in [0,1]. The alpha/opacity override for the fill area. `nothing` (the default) means it will take the alpha value of fillcolor.",
:markershape => "Symbol, Shape, or AbstractVector. Choose from $(_allMarkers).",
:markercolor => "Color Type. Color of the interior of the marker or shape. `:match` will take the value from `:seriescolor`.",
:markeralpha => "Number in [0,1]. The alpha/opacity override for the marker interior. `nothing` (the default) means it will take the alpha value of markercolor.",
:markersize => "Number or AbstractVector. Size (radius pixels) of the markers.",
:markerstrokestyle => "Symbol. Style of the marker stroke (border). Choose from $(_allStyles)",
:markerstrokewidth => "Number. Width of the marker stroke (border. in pixels)",
:markerstrokecolor => "Color Type. Color of the marker stroke (border). `:match` will take the value from `:seriescolor`.",
:markerstrokealpha => "Number in [0,1]. The alpha/opacity override for the marker stroke (border). `nothing` (the default) means it will take the alpha value of markerstrokecolor.",
:bins => "Integer, NTuple{2,Integer}, AbstractVector. For histogram-types, defines the number of bins, or the edges, of the histogram.",
:smooth => "Bool. Add a regression line?",
:group => "AbstractVector. Data is split into a separate series, one for each unique value in `group`.",
:x => "Various. Input data. First Dimension",
:y => "Various. Input data. Second Dimension",
:z => "Various. Input data. Third Dimension. May be wrapped by a `Surface` for surface and heatmap types.",
:marker_z => "AbstractVector, Function `f(x,y,z) -> z_value`, or nothing. z-values for each series data point, which correspond to the color to be used from a markercolor gradient.",
:line_z => "AbstractVector, Function `f(x,y,z) -> z_value`, or nothing. z-values for each series line segment, which correspond to the color to be used from a linecolor gradient. Note that for N points, only the first N-1 values are used (one per line-segment).",
:levels => "Integer, NTuple{2,Integer}. Number of levels (or x-levels/y-levels) for a contour type.",
:orientation => "Symbol. Horizontal or vertical orientation for bar types. Values `:h`, `:hor`, `:horizontal` correspond to horizontal (sideways, anchored to y-axis), and `:v`, `:vert`, and `:vertical` correspond to vertical (the default).",
:bar_position => "Symbol. Choose from `:overlay` (default), `:stack`. (warning: May not be implemented fully)",
:bar_width => "nothing or Number. Width of bars in data coordinates. When nothing, chooses based on x (or y when `orientation = :h`).",
:bar_edges => "Bool. Align bars to edges (true), or centers (the default)?",
:xerror => "AbstractVector or 2-Tuple of Vectors. x (horizontal) error relative to x-value. If 2-tuple of vectors, the first vector corresponds to the left error (and the second to the right)",
:yerror => "AbstractVector or 2-Tuple of Vectors. y (vertical) error relative to y-value. If 2-tuple of vectors, the first vector corresponds to the bottom error (and the second to the top)",
:ribbon => "Number or AbstractVector. Creates a fillrange around the data points.",
:quiver => "AbstractVector or 2-Tuple of vectors. The directional vectors U,V which specify velocity/gradient vectors for a quiver plot.",
:arrow => "nothing (no arrows), Bool (if true, default arrows), Arrow object, or arg(s) that could be style or head length/widths. Defines arrowheads that should be displayed at the end of path line segments (just before a NaN and the last non-NaN point). Used in quiverplot, streamplot, or similar.",
:normalize => "Bool. Should normalize histogram types? Trying for area == 1.",
:weights => "AbstractVector. Used in histogram types for weighted counts.",
:contours => "Bool. Add contours to the side-grids of 3D plots? Used in surface/wireframe.",
:match_dimensions => "Bool. For heatmap types... should the first dimension of a matrix (rows) correspond to the first dimension of the plot (x-axis)? The default is false, which matches the behavior of Matplotlib, Plotly, and others. Note: when passing a function for z, the function should still map `(x,y) -> z`.",
:subplot => "Integer (subplot index) or Subplot object. The subplot that this series belongs to.",
:series_annotations => "AbstractVector of String or PlotText. These are annotations which are mapped to data points/positions.",
:primary => "Bool. Does this count as a 'real series'? For example, you could have a path (primary), and a scatter (secondary) as 2 separate series, maybe with different data (see sticks recipe for an example). The secondary series will get the same color, etc as the primary.",
:hover => "nothing or vector of strings. Text to display when hovering over each data point.",
# plot args
:plot_title => "String. Title for the whole plot (not the subplots) (Note: Not currently implemented)",
:background_color => "Color Type. Base color for all backgrounds.",
:background_color_outside => "Color Type or `:match` (matches `:background_color`). Color outside the plot area(s)",
:foreground_color => "Color Type. Base color for all foregrounds.",
:size => "NTuple{2,Int}. (width_px, height_px) of the whole Plot",
:pos => "NTuple{2,Int}. (left_px, top_px) position of the GUI window (note: currently unimplemented)",
:window_title => "String. Title of the window.",
:show => "Bool. Should this command open/refresh a GUI/display? This allows displaying in scripts or functions without explicitly calling `display`",
:layout => "Integer (number of subplots), NTuple{2,Integer} (grid dimensions), AbstractLayout (for example `grid(2,2)`), or the return from the `@layout` macro. This builds the layout of subplots.",
:link => "Symbol. How/whether to link axis limits between subplots. Values: `:none`, `:x` (x axes are linked by columns), `:y` (y axes are linked by rows), `:both` (x and y are linked), `:all` (every subplot is linked together regardless of layout position).",
:overwrite_figure => "Bool. Should we reuse the same GUI window/figure when plotting (true) or open a new one (false).",
:html_output_format => "Symbol. When writing html output, what is the format? `:png` and `:svg` are currently supported.",
:inset_subplots => "nothing or vector of 2-tuple (parent,bbox). optionally pass a vector of (parent,bbox) tuples which are the parent layout and the relative bounding box of inset subplots",
# subplot args
:title => "String. Subplot title.",
:title_location => "Symbol. Position of subplot title. Values: `:left`, `:center`, `:right`",
:titlefont => "Font. Font of subplot title.",
:background_color_subplot => "Color Type or `:match` (matches `:background_color`). Base background color of the subplot.",
:background_color_legend => "Color Type or `:match` (matches `:background_color_subplot`). Background color of the legend.",
:background_color_inside => "Color Type or `:match` (matches `:background_color_subplot`). Background color inside the plot area (under the grid).",
:foreground_color_subplot => "Color Type or `:match` (matches `:foreground_color`). Base foreground color of the subplot.",
:foreground_color_legend => "Color Type or `:match` (matches `:foreground_color_subplot`). Foreground color of the legend.",
:foreground_color_grid => "Color Type or `:match` (matches `:foreground_color_subplot`). Color of grid lines.",
:foreground_color_title => "Color Type or `:match` (matches `:foreground_color_subplot`). Color of subplot title.",
:color_palette => "Vector of colors (cycle through) or color gradient (generate list from gradient) or `:auto` (generate a color list using `Colors.distiguishable_colors` and custom seed colors chosen to contrast with the background). The color palette is a color list from which series colors are automatically chosen.",
:legend => "Bool (show the legend?) or Symbol (legend position). Symbol values: `:none`, `:best`, `:right`, `:left`, `:top`, `:bottom`, `:inside`, `:legend`, `:topright`, `:topleft`, `:bottomleft`, `:bottomright` (note: only some may be supported in each backend)",
:colorbar => "Bool (show the colorbar?) or Symbol (colorbar position). Symbol values: `:none`, `:best`, `:right`, `:left`, `:top`, `:bottom`, `:legend` (matches legend value) (note: only some may be supported in each backend)",
:clims => "`:auto` or NTuple{2,Number}. Fixes the limits of the colorbar.",
:legendfont => "Font. Font of legend items.",
:grid => "Bool. Show the grid lines?",
:annotations => "(x,y,text) tuple(s). Can be a single tuple or a list of them. Text can be String or PlotText (created with `text(args...)`) Add one-off text annotations at the x,y coordinates.",
:projection => "Symbol or String. '3d' or 'polar'",
:aspect_ratio => "Symbol (:equal) or Number (width to height ratio of plot area).",
:margin => "Measure (multiply by `mm`, `px`, etc). Base for individual margins... not directly used. Specifies the extra padding around subplots.",
:left_margin => "Measure (multiply by `mm`, `px`, etc) or `:match` (matches `:margin`). Specifies the extra padding to the left of the subplot.",
:top_margin => "Measure (multiply by `mm`, `px`, etc) or `:match` (matches `:margin`). Specifies the extra padding on the top of the subplot.",
:right_margin => "Measure (multiply by `mm`, `px`, etc) or `:match` (matches `:margin`). Specifies the extra padding to the right of the subplot.",
:bottom_margin => "Measure (multiply by `mm`, `px`, etc) or `:match` (matches `:margin`). Specifies the extra padding on the bottom of the subplot.",
:subplot_index => "Integer. Internal (not set by user). Specifies the index of this subplot in the Plot's `plt.subplot` list.",
# axis args
:guide => "String. Axis guide (label).",
:lims => "NTuple{2,Number}. Force axis limits. Only finite values are used (you can set only the right limit with `xlims = (-Inf, 2)` for example).",
:ticks => "Vector of numbers (set the tick values), Tuple of (tickvalues, ticklabels), or `:auto`",
:scale => "Symbol. Scale of the axis: `:none`, `:ln`, `:log2`, `:log10`",
:rotation => "Number. Degrees rotation of tick labels.",
:flip => "Bool. Should we flip (reverse) the axis?",
:tickfont => "Font. Font of axis tick labels.",
:guidefont => "Font. Font of axis guide (label).",
:foreground_color_axis => "Color Type or `:match` (matches `:foreground_color_subplot`). Color of axis ticks.",
:foreground_color_border => "Color Type or `:match` (matches `:foreground_color_subplot`). Color of plot area border (spines).",
:foreground_color_text => "Color Type or `:match` (matches `:foreground_color_subplot`). Color of tick labels.",
:foreground_color_guide => "Color Type or `:match` (matches `:foreground_color_subplot`). Color of axis guides (axis labels).",
)
+813 -543
View File
File diff suppressed because it is too large Load Diff
+332
View File
@@ -0,0 +1,332 @@
# xaxis(args...; kw...) = Axis(:x, args...; kw...)
# yaxis(args...; kw...) = Axis(:y, args...; kw...)
# zaxis(args...; kw...) = Axis(:z, args...; kw...)
# -------------------------------------------------------------------------
function Axis(sp::Subplot, letter::Symbol, args...; kw...)
# init with values from _plot_defaults
d = KW(
:letter => letter,
# :extrema => (Inf, -Inf),
:extrema => Extrema(),
:discrete_map => Dict(), # map discrete values to discrete indices
:continuous_values => zeros(0),
:use_minor => false,
:show => true, # show or hide the axis? (useful for linked subplots)
)
# get defaults from letter version, unless match
for (k,v) in _axis_defaults
lk = Symbol(letter, k)
lv = _axis_defaults_byletter[lk]
d[k] = (lv == :match ? v : lv)
end
# merge!(d, _axis_defaults)
d[:discrete_values] = []
# update the defaults
update!(Axis(sp, d), args...; kw...)
end
function get_axis(sp::Subplot, letter::Symbol)
axissym = Symbol(letter, :axis)
if haskey(sp.attr, axissym)
sp.attr[axissym]
else
sp.attr[axissym] = Axis(sp, letter)
end
end
function process_axis_arg!(d::KW, arg, letter = "")
T = typeof(arg)
arg = get(_scaleAliases, arg, arg)
if typeof(arg) <: Font
d[Symbol(letter,:tickfont)] = arg
d[Symbol(letter,:guidefont)] = arg
elseif arg in _allScales
d[Symbol(letter,:scale)] = arg
elseif arg in (:flip, :invert, :inverted)
d[Symbol(letter,:flip)] = true
elseif T <: AbstractString
d[Symbol(letter,:guide)] = arg
# xlims/ylims
elseif (T <: Tuple || T <: AVec) && length(arg) == 2
sym = typeof(arg[1]) <: Number ? :lims : :ticks
d[Symbol(letter,sym)] = arg
# xticks/yticks
elseif T <: AVec
d[Symbol(letter,:ticks)] = arg
elseif arg == nothing
d[Symbol(letter,:ticks)] = []
elseif typeof(arg) <: Number
d[Symbol(letter,:rotation)] = arg
else
warn("Skipped $(letter)axis arg $arg")
end
end
# update an Axis object with magic args and keywords
function update!(axis::Axis, args...; kw...)
# first process args
d = axis.d
for arg in args
process_axis_arg!(d, arg)
end
# then override for any keywords... only those keywords that already exists in d
for (k,v) in kw
if haskey(d, k)
if k == :discrete_values
# add these discrete values to the axis
for vi in v
discrete_value!(axis, vi)
end
else
d[k] = v
end
end
end
# replace scale aliases
if haskey(_scaleAliases, d[:scale])
d[:scale] = _scaleAliases[d[:scale]]
end
axis
end
# -------------------------------------------------------------------------
Base.show(io::IO, axis::Axis) = dumpdict(axis.d, "Axis", true)
# Base.getindex(axis::Axis, k::Symbol) = getindex(axis.d, k)
Base.setindex!(axis::Axis, v, ks::Symbol...) = setindex!(axis.d, v, ks...)
Base.haskey(axis::Axis, k::Symbol) = haskey(axis.d, k)
Base.extrema(axis::Axis) = (ex = axis[:extrema]; (ex.emin, ex.emax))
# get discrete ticks, or not
function get_ticks(axis::Axis)
ticks = axis[:ticks]
dvals = axis[:discrete_values]
if !isempty(dvals) && ticks == :auto
axis[:continuous_values], dvals
else
ticks
end
end
# -------------------------------------------------------------------------
function expand_extrema!(ex::Extrema, v::Number)
ex.emin = min(v, ex.emin)
ex.emax = max(v, ex.emax)
ex
end
function expand_extrema!(axis::Axis, v::Number)
expand_extrema!(axis[:extrema], v)
end
function expand_extrema!{MIN<:Number,MAX<:Number}(axis::Axis, v::Tuple{MIN,MAX})
ex = axis[:extrema]
ex.emin = min(v[1], ex.emin)
ex.emax = max(v[2], ex.emax)
ex
end
function expand_extrema!{N<:Number}(axis::Axis, v::AVec{N})
ex = axis[:extrema]
for vi in v
expand_extrema!(ex, vi)
end
ex
end
function expand_extrema!(sp::Subplot, d::KW)
# first expand for the data
for letter in (:x, :y, :z)
data = d[letter]
axis = sp.attr[Symbol(letter, "axis")]
if eltype(data) <: Number
expand_extrema!(axis, data)
elseif isa(data, Surface) && eltype(data.surf) <: Number
expand_extrema!(axis, data)
elseif data != nothing
# TODO: need more here... gotta track the discrete reference value
# as well as any coord offset (think of boxplot shape coords... they all
# correspond to the same x-value)
# @show letter,eltype(data),typeof(data)
d[letter], d[Symbol(letter,"_discrete_indices")] = discrete_value!(axis, data)
end
end
# # expand for fillrange/bar_width
# fillaxis, baraxis = sp.attr[:yaxis], sp.attr[:xaxis]
# if isvertical(d)
# fillaxis, baraxis = baraxis, fillaxis
# end
# expand for fillrange
vert = isvertical(d)
fr = d[:fillrange]
if fr == nothing && d[:seriestype] == :bar
fr = 0.0
end
if fr != nothing
axis = sp.attr[vert ? :yaxis : :xaxis]
if typeof(fr) <: Tuple
for fri in fr
expand_extrema!(axis, fri)
end
else
expand_extrema!(axis, fr)
end
end
# expand for bar_width
if d[:seriestype] == :bar
dsym = vert ? :x : :y
data = d[dsym]
bw = d[:bar_width]
if bw == nothing
bw = d[:bar_width] = mean(diff(data))
end
# @show data bw
axis = sp.attr[Symbol(dsym, :axis)]
expand_extrema!(axis, maximum(data) + 0.5maximum(bw))
expand_extrema!(axis, minimum(data) - 0.5minimum(bw))
end
end
function expand_extrema!(sp::Subplot, xmin, xmax, ymin, ymax)
expand_extrema!(sp[:xaxis], (xmin, xmax))
expand_extrema!(sp[:yaxis], (ymin, ymax))
end
# -------------------------------------------------------------------------
# push the limits out slightly
function widen(lmin, lmax)
span = lmax - lmin
# eps = max(1e-16, min(1e-2span, 1e-10))
eps = max(1e-16, 0.03span)
lmin-eps, lmax+eps
end
# figure out if widening is a good idea. if there's a scale set it's too tricky,
# so lazy out and don't widen
function default_should_widen(axis::Axis)
should_widen = false
if axis[:scale] == :identity
for series in series_list(axis.sp)
if series.d[:seriestype] in (:scatter,) || series.d[:markershape] != :none
should_widen = true
end
end
end
should_widen
end
# using the axis extrema and limit overrides, return the min/max value for this axis
function axis_limits(axis::Axis, should_widen::Bool = default_should_widen(axis))
ex = axis[:extrema]
amin, amax = ex.emin, ex.emax
lims = axis[:lims]
if (isa(lims, Tuple) || isa(lims, AVec)) && length(lims) == 2
if isfinite(lims[1])
amin = lims[1]
end
if isfinite(lims[2])
amax = lims[2]
end
end
if amax <= amin && isfinite(amin)
amax = amin + 1.0
end
if should_widen
widen(amin, amax)
else
amin, amax
end
end
# -------------------------------------------------------------------------
# these methods track the discrete (categorical) values which correspond to axis continuous values (cv)
# whenever we have discrete values, we automatically set the ticks to match.
# we return (continuous_value, discrete_index)
function discrete_value!(axis::Axis, dv)
cv_idx = get(axis[:discrete_map], dv, -1)
# @show axis[:discrete_map], axis[:discrete_values], dv
if cv_idx == -1
ex = axis[:extrema]
cv = max(0.5, ex.emax + 1.0)
expand_extrema!(axis, cv)
push!(axis[:discrete_values], dv)
push!(axis[:continuous_values], cv)
cv_idx = length(axis[:discrete_values])
axis[:discrete_map][dv] = cv_idx
cv, cv_idx
else
cv = axis[:continuous_values][cv_idx]
cv, cv_idx
end
end
# continuous value... just pass back with axis negative index
function discrete_value!(axis::Axis, cv::Number)
cv, -1
end
# add the discrete value for each item. return the continuous values and the indices
function discrete_value!(axis::Axis, v::AVec)
n = length(v)
cvec = zeros(n)
discrete_indices = zeros(Int, n)
for i=1:n
cvec[i], discrete_indices[i] = discrete_value!(axis, v[i])
end
cvec, discrete_indices
end
# add the discrete value for each item. return the continuous values and the indices
function discrete_value!(axis::Axis, v::AMat)
n,m = size(v)
cmat = zeros(n,m)
discrete_indices = zeros(Int, n, m)
for i=1:n, j=1:m
cmat[i,j], discrete_indices[i,j] = discrete_value!(axis, v[i,j])
end
cmat, discrete_indices
end
function discrete_value!(axis::Axis, v::Surface)
map(Surface, discrete_value!(axis, v.surf))
end
# -------------------------------------------------------------------------
function pie_labels(sp::Subplot, series::Series)
d = series.d
if haskey(d,:x_discrete_indices)
dvals = sp.attr[:xaxis].d[:discrete_values]
[dvals[idx] for idx in d[:x_discrete_indices]]
else
d[:x]
end
end
+229
View File
@@ -0,0 +1,229 @@
immutable NoBackend <: AbstractBackend end
const _backendType = Dict{Symbol, DataType}(:none => NoBackend)
const _backendSymbol = Dict{DataType, Symbol}(NoBackend => :none)
const _backends = Symbol[]
const _initialized_backends = Set{Symbol}()
backends() = _backends
backend_name() = CURRENT_BACKEND.sym
_backend_instance(sym::Symbol) = haskey(_backendType, sym) ? _backendType[sym]() : error("Unsupported backend $sym")
macro init_backend(s)
str = lowercase(string(s))
sym = Symbol(str)
T = Symbol(string(s) * "Backend")
esc(quote
immutable $T <: AbstractBackend end
export $sym
$sym(; kw...) = (default(; kw...); backend(Symbol($str)))
backend_name(::$T) = Symbol($str)
push!(_backends, Symbol($str))
_backendType[Symbol($str)] = $T
_backendSymbol[$T] = Symbol($str)
include("backends/" * $str * ".jl")
end)
end
@init_backend Immerse
@init_backend Gadfly
@init_backend PyPlot
@init_backend Qwt
@init_backend UnicodePlots
@init_backend Winston
@init_backend Bokeh
@init_backend Plotly
@init_backend PlotlyJS
@init_backend GR
@init_backend GLVisualize
@init_backend PGFPlots
include("backends/web.jl")
# include("backends/supported.jl")
# ---------------------------------------------------------
# don't do anything as a default
_create_backend_figure(plt::Plot) = nothing
_prepare_plot_object(plt::Plot) = nothing
_initialize_subplot(plt::Plot, sp::Subplot) = nothing
_series_added(plt::Plot, series::Series) = nothing
_series_updated(plt::Plot, series::Series) = nothing
_before_layout_calcs(plt::Plot) = nothing
title_padding(sp::Subplot) = sp[:title] == "" ? 0mm : sp[:titlefont].pointsize * pt
guide_padding(axis::Axis) = axis[:guide] == "" ? 0mm : axis[:guidefont].pointsize * pt
# Set the (left, top, right, bottom) minimum padding around the plot area
# to fit ticks, tick labels, guides, colorbars, etc.
function _update_min_padding!(sp::Subplot)
leftpad = 10mm + sp[:left_margin] + guide_padding(sp[:yaxis])
toppad = 2mm + sp[:top_margin] + title_padding(sp)
rightpad = 3mm + sp[:right_margin]
bottompad = 5mm + sp[:bottom_margin] + guide_padding(sp[:xaxis])
# @show (leftpad, toppad, rightpad, bottompad)
sp.minpad = (leftpad, toppad, rightpad, bottompad)
end
_update_plot_object(plt::Plot) = nothing
# ---------------------------------------------------------
type CurrentBackend
sym::Symbol
pkg::AbstractBackend
end
CurrentBackend(sym::Symbol) = CurrentBackend(sym, _backend_instance(sym))
# ---------------------------------------------------------
function pickDefaultBackend()
env_default = get(ENV, "PLOTS_DEFAULT_BACKEND", "")
if env_default != ""
try
Pkg.installed(env_default) # this will error if not installed
sym = Symbol(lowercase(env_default))
if haskey(_backendType, sym)
return backend(sym)
else
warn("You have set PLOTS_DEFAULT_BACKEND=$env_default but it is not a valid backend package. Choose from:\n\t",
join(sort(_backends), "\n\t"))
end
catch
warn("You have set PLOTS_DEFAULT_BACKEND=$env_default but it is not installed.")
end
end
# the ordering/inclusion of this package list is my semi-arbitrary guess at
# which one someone will want to use if they have the package installed...accounting for
# features, speed, and robustness
for pkgstr in ("PyPlot", "GR", "PlotlyJS", "Immerse", "Gadfly", "UnicodePlots")
if Pkg.installed(pkgstr) != nothing
return backend(Symbol(lowercase(pkgstr)))
end
end
# the default if nothing else is installed
backend(:plotly)
end
# ---------------------------------------------------------
"""
Returns the current plotting package name. Initializes package on first call.
"""
function backend()
global CURRENT_BACKEND
if CURRENT_BACKEND.sym == :none
pickDefaultBackend()
end
sym = CURRENT_BACKEND.sym
if !(sym in _initialized_backends)
# initialize
println("[Plots.jl] Initializing backend: ", sym)
inst = _backend_instance(sym)
try
_initialize_backend(inst)
catch err
warn("Couldn't initialize $sym. (might need to install it?)")
rethrow(err)
end
push!(_initialized_backends, sym)
end
CURRENT_BACKEND.pkg
end
"""
Set the plot backend.
"""
function backend(pkg::AbstractBackend)
CURRENT_BACKEND.sym = backend_name(pkg)
warn_on_deprecated_backend(CURRENT_BACKEND.sym)
CURRENT_BACKEND.pkg = pkg
end
function backend(modname::Symbol)
warn_on_deprecated_backend(modname)
CURRENT_BACKEND.sym = modname
CURRENT_BACKEND.pkg = _backend_instance(modname)
end
const _deprecated_backends = [:qwt, :winston, :bokeh, :gadfly, :immerse]
function warn_on_deprecated_backend(bsym::Symbol)
if bsym in _deprecated_backends
warn("Backend $bsym has been deprecated. It may not work as originally intended.")
end
end
# ---------------------------------------------------------
supported_types(::AbstractBackend) = []
supported_styles(::AbstractBackend) = [:solid]
supported_markers(::AbstractBackend) = [:none]
supported_scales(::AbstractBackend) = [:identity]
is_subplot_supported(::AbstractBackend) = false
is_string_supported(::AbstractBackend) = false
nativeImagesSupported(b::AbstractBackend) = :image in supported_types(b)
supported_types() = supported_types(backend())
supported_styles() = supported_styles(backend())
supported_markers() = supported_markers(backend())
supported_scales() = supported_scales(backend())
is_subplot_supported() = is_subplot_supported(backend())
is_string_supported() = is_string_supported(backend())
nativeImagesSupported() = nativeImagesSupported(backend())
# ---------------------------------------------------------
# these are args which every backend supports because they're not used in the backend code
const _base_supported_args = [
:color_palette,
:background_color, :background_color_subplot,
:foreground_color, :foreground_color_subplot,
:group,
:seriestype,
:seriescolor, :seriesalpha,
:smooth,
:xerror, :yerror,
:subplot,
:x, :y, :z,
:show, :size,
:margin,
:left_margin,
:right_margin,
:top_margin,
:bottom_margin,
:html_output_format,
:layout,
:link,
:primary,
:series_annotations,
:subplot_index,
:discrete_values,
:projection,
]
function merge_with_base_supported(v::AVec)
v = vcat(v, _base_supported_args)
for vi in v
if haskey(_axis_defaults, vi)
for letter in (:x,:y,:z)
push!(v, Symbol(letter,vi))
end
end
end
v
end
+112 -79
View File
@@ -2,46 +2,108 @@
# https://github.com/bokeh/Bokeh.jl
function _initialize_backend(::BokehPackage; kw...)
supported_args(::BokehBackend) = merge_with_base_supported([
# :annotations,
# :axis,
# :background_color,
:linecolor,
# :color_palette,
# :fillrange,
# :fillcolor,
# :fillalpha,
# :foreground_color,
:group,
# :label,
# :layout,
# :legend,
:seriescolor, :seriesalpha,
:linestyle,
:seriestype,
:linewidth,
# :linealpha,
:markershape,
:markercolor,
:markersize,
# :markeralpha,
# :markerstrokewidth,
# :markerstrokecolor,
# :markerstrokestyle,
# :n,
# :bins,
# :nc,
# :nr,
# :pos,
# :smooth,
# :show,
:size,
:title,
# :window_title,
:x,
# :xguide,
# :xlims,
# :xticks,
:y,
# :yguide,
# :ylims,
# :yrightlabel,
# :yticks,
# :xscale,
# :yscale,
# :xflip,
# :yflip,
# :z,
# :tickfont,
# :guidefont,
# :legendfont,
# :grid,
# :surface,
# :levels,
])
supported_types(::BokehBackend) = [:path, :scatter]
supported_styles(::BokehBackend) = [:auto, :solid, :dash, :dot, :dashdot, :dashdotdot]
supported_markers(::BokehBackend) = [:none, :auto, :circle, :rect, :diamond, :utriangle, :dtriangle, :cross, :xcross, :star5]
supported_scales(::BokehBackend) = [:identity, :ln]
is_subplot_supported(::BokehBackend) = false
# --------------------------------------------------------------------------------------
function _initialize_backend(::BokehBackend; kw...)
@eval begin
warn("Bokeh is no longer supported... many features will likely be broken.")
import Bokeh
export Bokeh
end
end
# make255(x) = round(Int, 255 * x)
# function bokehcolor(c::Colorant)
# @sprintf("rgba(%d, %d, %d, %1.3f)", [make255(f(c)) for f in [red,green,blue]]..., alpha(c))
# end
# bokehcolor(cs::ColorScheme) = bokehcolor(getColor(cs))
const _glyphtypes = Dict(
:ellipse => :Circle,
const _glyphtypes = KW(
:circle => :Circle,
:rect => :Square,
:diamond => :Diamond,
:utriangle => :Triangle,
:dtriangle => :InvertedTriangle,
# :pentagon =>
# :hexagon =>
# :heptagon =>
# :octagon =>
# :pentagon =>
# :hexagon =>
# :heptagon =>
# :octagon =>
:cross => :Cross,
:xcross => :X,
:star5 => :Asterisk,
)
function bokeh_glyph_type(d::Dict)
lt = d[:linetype]
function bokeh_glyph_type(d::KW)
st = d[:seriestype]
mt = d[:markershape]
if lt == :scatter && mt == :none
mt = :ellipse
if st == :scatter && mt == :none
mt = :circle
end
# if we have a marker, use that
if lt == :scatter || mt != :none
if st == :scatter || mt != :none
return _glyphtypes[mt]
end
@@ -63,37 +125,31 @@ end
# ---------------------------------------------------------------------------
function _create_plot(pkg::BokehPackage; kw...)
d = Dict(kw)
# dumpdict(d, "plot", true)
# function _create_plot(pkg::BokehBackend, d::KW)
function _create_backend_figure(plt::Plot{BokehBackend})
# TODO: create the window/canvas/context that is the plot within the backend (call it `o`)
# TODO: initialize the plot... title, xlabel, bgcolor, etc
datacolumns = Bokeh.BokehDataSet[]
tools = Bokeh.tools()
filename = tempname() * ".html"
title = d[:title]
w, h = d[:size]
xaxis_type = d[:xscale] == :log10 ? :log : :auto
yaxis_type = d[:yscale] == :log10 ? :log : :auto
# legend = d[:legend] ? xxxx : nothing
title = plt.attr[:title]
w, h = plt.attr[:size]
xaxis_type = plt.attr[:xscale] == :log10 ? :log : :auto
yaxis_type = plt.attr[:yscale] == :log10 ? :log : :auto
# legend = plt.attr[:legend] ? xxxx : nothing
legend = nothing
extra_args = Dict() # TODO: we'll put extra settings (xlim, etc) here
bplt = Bokeh.Plot(datacolumns, tools, filename, title, w, h, xaxis_type, yaxis_type, legend) #, extra_args)
extra_args = KW() # TODO: we'll put extra settings (xlim, etc) here
Bokeh.Plot(datacolumns, tools, filename, title, w, h, xaxis_type, yaxis_type, legend) #, extra_args)
Plot(bplt, pkg, 0, d, Dict[])
# Plot(bplt, pkg, 0, d, KW[])
end
function _add_series(::BokehPackage, plt::Plot; kw...)
d = Dict(kw)
# function _series_added(::BokehBackend, plt::Plot, d::KW)
function _series_added(plt::Plot{BokehBackend}, series::Series)
bdata = Dict{Symbol, Vector}(:x => collect(series.d[:x]), :y => collect(series.d[:y]))
# dumpdict(d, "plot!", true)
bdata = Dict{Symbol, Vector}(:x => collect(d[:x]), :y => collect(d[:y]))
glyph = Bokeh.Bokehjs.Glyph(
glyphtype = bokeh_glyph_type(d),
linecolor = webcolor(d[:linecolor]), # shape's stroke or line color
@@ -106,70 +162,47 @@ function _add_series(::BokehPackage, plt::Plot; kw...)
legend = nothing # TODO
push!(plt.o.datacolumns, Bokeh.BokehDataSet(bdata, glyph, legend))
push!(plt.seriesargs, d)
plt
# push!(plt.seriesargs, d)
# plt
end
# ----------------------------------------------------------------
# TODO: override this to update plot items (title, xlabel, etc) after creation
function _update_plot(plt::Plot{BokehPackage}, d::Dict)
end
function _update_plot_pos_size(plt::PlottingObject{BokehPackage}, d::Dict)
function _update_plot_object(plt::Plot{BokehBackend}, d::KW)
end
# ----------------------------------------------------------------
# accessors for x/y data
function Base.getindex(plt::Plot{BokehPackage}, i::Int)
series = plt.o.datacolumns[i].data
series[:x], series[:y]
end
# function getxy(plt::Plot{BokehBackend}, i::Int)
# series = plt.o.datacolumns[i].data
# series[:x], series[:y]
# end
#
# function setxy!(plt::Plot{BokehBackend}, xy::Tuple{X,Y}, i::Integer)
# series = plt.o.datacolumns[i].data
# series[:x], series[:y] = xy
# plt
# end
function Base.setindex!(plt::Plot{BokehPackage}, xy::Tuple, i::Integer)
series = plt.o.datacolumns[i].data
series[:x], series[:y] = xy
plt
end
# ----------------------------------------------------------------
function _add_annotations{X,Y,V}(plt::Plot{BokehPackage}, anns::AVec{@compat(Tuple{X,Y,V})})
for ann in anns
# TODO: add the annotation to the plot
end
end
# ----------------------------------------------------------------
function _create_subplot(subplt::Subplot{BokehPackage}, isbefore::Bool)
# TODO: build the underlying Subplot object. this is where you might layout the panes within a GUI window, for example
end
function _expand_limits(lims, plt::Plot{BokehPackage}, isx::Bool)
# TODO: call expand limits for each plot data
end
function _remove_axis(plt::Plot{BokehPackage}, isx::Bool)
# TODO: if plot is inner subplot, might need to remove ticks or axis labels
end
# ----------------------------------------------------------------
function Base.writemime(io::IO, ::MIME"image/png", plt::PlottingObject{BokehPackage})
function Base.writemime(io::IO, ::MIME"image/png", plt::AbstractPlot{BokehBackend})
# TODO: write a png to io
warn("mime png not implemented")
end
function Base.display(::PlotsDisplay, plt::Plot{BokehPackage})
function Base.display(::PlotsDisplay, plt::Plot{BokehBackend})
Bokeh.showplot(plt.o)
end
function Base.display(::PlotsDisplay, plt::Subplot{BokehPackage})
# TODO: display/show the subplot
end
# function Base.display(::PlotsDisplay, plt::Subplot{BokehBackend})
# # TODO: display/show the subplot
# end
+537 -532
View File
File diff suppressed because it is too large Load Diff
+9 -5
View File
@@ -1,8 +1,9 @@
# Geometry which displays arbitrary shapes at given (x, y) positions.
# note: vertices is a list of shapes
immutable ShapeGeometry <: Gadfly.GeometryElement
vertices::AbstractVector{@compat(Tuple{Float64,Float64})}
vertices::AbstractVector #{Tuple{Float64,Float64}}
tag::Symbol
function ShapeGeometry(shape; tag::Symbol=Gadfly.Geom.empty_tag)
@@ -66,24 +67,27 @@ function Gadfly.render(geom::ShapeGeometry, theme::Gadfly.Theme, aes::Gadfly.Aes
end
function gadflyshape(sv::Shape)
ShapeGeometry(sv.vertices)
ShapeGeometry(Any[vertices(sv)])
end
function gadflyshape(sv::AVec{Shape})
ShapeGeometry(Any[vertices(s) for s in sv])
end
# create a Compose context given a ShapeGeometry and the xs/ys/sizes
function make_polygon(geom::ShapeGeometry, xs::AbstractArray, ys::AbstractArray, rs::AbstractArray)
n = max(length(xs), length(ys), length(rs))
T = @compat(Tuple{Compose.Measure, Compose.Measure})
T = Tuple{Compose.Measure, Compose.Measure}
polys = Array(Vector{T}, n)
for i in 1:n
x = Compose.x_measure(xs[mod1(i, length(xs))])
y = Compose.y_measure(ys[mod1(i, length(ys))])
r = rs[mod1(i, length(rs))]
polys[i] = T[(x + r * sx, y + r * sy) for (sx,sy) in geom.vertices]
polys[i] = T[(x + r * sx, y + r * sy) for (sx,sy) in cycle(geom.vertices, i)]
end
Gadfly.polygon(polys, geom.tag)
end
# ---------------------------------------------------------------------------------------------
+73 -89
View File
@@ -2,111 +2,95 @@
# [WEBSITE]
function _initialize_backend(::GLVisualizePackage; kw...)
@eval begin
import GLVisualize
export GLVisualize
end
supported_args(::GLVisualizeBackend) = merge_with_base_supported([
# :annotations,
# :background_color_legend, :background_color_inside, :background_color_outside,
# :foreground_color_grid, :foreground_color_legend, :foreground_color_title,
# :foreground_color_axis, :foreground_color_border, :foreground_color_guide, :foreground_color_text,
# :label,
# :linecolor, :linestyle, :linewidth, :linealpha,
# :markershape, :markercolor, :markersize, :markeralpha,
# :markerstrokewidth, :markerstrokecolor, :markerstrokealpha,
# :fillrange, :fillcolor, :fillalpha,
# :bins, :bar_width, :bar_edges, :bar_position,
# :title, :title_location, :titlefont,
# :window_title,
# :guide, :lims, :ticks, :scale, :flip, :rotation,
# :tickfont, :guidefont, :legendfont,
# :grid, :legend, :colorbar,
# :marker_z, :levels,
# :ribbon, :quiver, :arrow,
# :orientation,
# :overwrite_figure,
# :polar,
# :normalize, :weights,
# :contours, :aspect_ratio,
# :match_dimensions,
# :clims,
# :inset_subplots,
])
supported_types(::GLVisualizeBackend) = [:surface]
supported_styles(::GLVisualizeBackend) = [:auto, :solid]
supported_markers(::GLVisualizeBackend) = [:none, :auto, :circle]
supported_scales(::GLVisualizeBackend) = [:identity]
is_subplot_supported(::GLVisualizeBackend) = false
# --------------------------------------------------------------------------------------
function _initialize_backend(::GLVisualizeBackend; kw...)
@eval begin
import GLVisualize
export GLVisualize
end
end
# ---------------------------------------------------------------------------
immutable GLScreenWrapper
window
render
end
function _create_plot(pkg::GLVisualizePackage; kw...)
d = Dict(kw)
# TODO: create the window/canvas/context that is the plot within the backend (call it `o`)
# TODO: initialize the plot... title, xlabel, bgcolor, etc
# TODO: this should be moved to the display method?
w,r=GLVisualize.glscreen()
@async r()
o = GLScreenWrapper(w,r)
Plot(o, pkg, 0, d, Dict[])
function _create_backend_figure(plt::Plot{GLVisualizeBackend})
# init a window
window = GLVisualize.glscreen()
@async GLVisualize.renderloop(window)
window
end
function gl_display(plt::Plot{GLVisualizeBackend})
for sp in plt.subplots
# TODO: setup subplot
function _add_series(::GLVisualizePackage, plt::Plot; kw...)
d = Dict(kw)
# TODO: add one series to the underlying package
push!(plt.seriesargs, d)
for series in series_list(sp)
# TODO: setup series
d = series.d
st = d[:seriestype]
x, y, z = map(Float32, d[:x]), map(Float32, d[:y]), d[:z]
# TODO: this should be moved to the display method?
x, y, z = map(Float32, d[:x]), map(Float32, d[:y]), map(Float32, d[:z].surf)
viz = GLVisualize.visualize(x*ones(y)', ones(x)*y', z, :surface)
GLVisualize.view(viz)
if st == :surface
ismatrix(x) || (x = repmat(x', length(y), 1))
ismatrix(y) || (y = repmat(y, 1, length(x)))
z = transpose_z(d, map(Float32, z.surf), false)
viz = GLVisualize.visualize((x, y, z), :surface)
GLVisualize.view(viz, plt.o)
return
plt
else
error("Series type $st not supported by GLVisualize")
end
end
end
end
function _add_annotations{X,Y,V}(plt::Plot{GLVisualizePackage}, anns::AVec{@compat(Tuple{X,Y,V})})
for ann in anns
# TODO: add the annotation to the plot
end
end
# ----------------------------------------------------------------
function _before_update_plot(plt::Plot{GLVisualizePackage})
end
# TODO: override this to update plot items (title, xlabel, etc) after creation
function _update_plot(plt::Plot{GLVisualizePackage}, d::Dict)
end
function _update_plot_pos_size(plt::PlottingObject{GLVisualizePackage}, d::Dict)
end
# ----------------------------------------------------------------
# accessors for x/y data
function Base.getindex(plt::Plot{GLVisualizePackage}, i::Int)
# TODO:
# series = plt.o.lines[i]
# series.x, series.y
nothing, nothing
end
function Base.setindex!(plt::Plot{GLVisualizePackage}, xy::Tuple, i::Integer)
# TODO:
# series = plt.o.lines[i]
# series.x, series.y = xy
plt
end
# ----------------------------------------------------------------
function _create_subplot(subplt::Subplot{GLVisualizePackage})
# TODO: build the underlying Subplot object. this is where you might layout the panes within a GUI window, for example
end
function _expand_limits(lims, plt::Plot{GLVisualizePackage}, isx::Bool)
# TODO: call expand limits for each plot data
end
function _remove_axis(plt::Plot{GLVisualizePackage}, isx::Bool)
# TODO: if plot is inner subplot, might need to remove ticks or axis labels
end
# ----------------------------------------------------------------
function Base.writemime(io::IO, ::MIME"image/png", plt::PlottingObject{GLVisualizePackage})
# TODO: write a png to io
end
function Base.display(::PlotsDisplay, plt::Plot{GLVisualizePackage})
# TODO: display/show the plot
# NOTE: I think maybe this should be empty? We can start with the assumption that creating
# and adding to a plot will automatically open a window and draw to it, then the display
# wouldn't actually need to do anything
end
function Base.display(::PlotsDisplay, plt::Subplot{GLVisualizePackage})
# TODO: display/show the subplot
# function _writemime(io::IO, ::MIME"image/png", plt::AbstractPlot{GLVisualizeBackend})
# # TODO: write a png to io
# end
function _display(plt::Plot{GLVisualizeBackend})
gl_display(plt)
end
+861 -575
View File
File diff suppressed because it is too large Load Diff
+102 -89
View File
@@ -1,7 +1,16 @@
# https://github.com/JuliaGraphics/Immerse.jl
function _initialize_backend(::ImmersePackage; kw...)
supported_args(::ImmerseBackend) = supported_args(GadflyBackend())
supported_types(::ImmerseBackend) = supported_types(GadflyBackend())
supported_styles(::ImmerseBackend) = supported_styles(GadflyBackend())
supported_markers(::ImmerseBackend) = supported_markers(GadflyBackend())
supported_scales(::ImmerseBackend) = supported_scales(GadflyBackend())
is_subplot_supported(::ImmerseBackend) = true
# --------------------------------------------------------------------------------------
function _initialize_backend(::ImmerseBackend; kw...)
@eval begin
import Immerse, Gadfly, Compose, Gtk
export Immerse, Gadfly, Compose, Gtk
@@ -9,9 +18,9 @@ function _initialize_backend(::ImmersePackage; kw...)
end
end
function createImmerseFigure(d::Dict)
function createImmerseFigure(d::KW)
w,h = d[:size]
figidx = Immerse.figure(; name = d[:windowtitle], width = w, height = h)
figidx = Immerse.figure(; name = d[:window_title], width = w, height = h)
Immerse.Figure(figidx)
end
@@ -19,27 +28,31 @@ end
# create a blank Gadfly.Plot object
function _create_plot(pkg::ImmersePackage; kw...)
d = Dict(kw)
# create the underlying Gadfly.Plot object
gplt = createGadflyPlotObject(d)
# save both the Immerse.Figure and the Gadfly.Plot
Plot((nothing,gplt), pkg, 0, d, Dict[])
# function _create_plot(pkg::ImmerseBackend, d::KW)
# # create the underlying Gadfly.Plot object
# gplt = createGadflyPlotObject(d)
#
# # save both the Immerse.Figure and the Gadfly.Plot
# Plot((nothing,gplt), pkg, 0, d, KW[])
# end
function _create_backend_figure(plt::Plot{ImmerseBackend})
(nothing, createGadflyPlotObject(plt.attr))
end
# plot one data series
function _add_series(::ImmersePackage, plt::Plot; kw...)
d = Dict(kw)
addGadflySeries!(plt, d)
push!(plt.seriesargs, d)
plt
# # plot one data series
# function _series_added(::ImmerseBackend, plt::Plot, d::KW)
# addGadflySeries!(plt, d)
# push!(plt.seriesargs, d)
# plt
# end
function _series_added(plt::Plot{ImmerseBackend}, series::Series)
addGadflySeries!(plt, series.d)
end
function _update_plot(plt::Plot{ImmersePackage}, d::Dict)
function _update_plot_object(plt::Plot{ImmerseBackend}, d::KW)
updateGadflyGuides(plt, d)
updateGadflyPlotTheme(plt, d)
end
@@ -48,7 +61,7 @@ end
# ----------------------------------------------------------------
function _add_annotations{X,Y,V}(plt::Plot{ImmersePackage}, anns::AVec{@compat(Tuple{X,Y,V})})
function _add_annotations{X,Y,V}(plt::Plot{ImmerseBackend}, anns::AVec{@compat(Tuple{X,Y,V})})
for ann in anns
push!(getGadflyContext(plt).guides, createGadflyAnnotationObject(ann...))
end
@@ -58,12 +71,12 @@ end
# accessors for x/y data
function Base.getindex(plt::Plot{ImmersePackage}, i::Integer)
function getxy(plt::Plot{ImmerseBackend}, i::Integer)
mapping = getGadflyMappings(plt, i)[1]
mapping[:x], mapping[:y]
end
function Base.setindex!(plt::Plot{ImmersePackage}, xy::Tuple, i::Integer)
function setxy!{X,Y}(plt::Plot{ImmerseBackend}, xy::Tuple{X,Y}, i::Integer)
for mapping in getGadflyMappings(plt, i)
mapping[:x], mapping[:y] = xy
end
@@ -74,60 +87,60 @@ end
# ----------------------------------------------------------------
function _create_subplot(subplt::Subplot{ImmersePackage}, isbefore::Bool)
return false
# isbefore && return false
end
function showSubplotObject(subplt::Subplot{ImmersePackage})
# create the Gtk window with vertical box vsep
d = getplotargs(subplt,1)
w,h = d[:size]
vsep = Gtk.GtkBoxLeaf(:v)
win = Gtk.GtkWindowLeaf(vsep, d[:windowtitle], w, h)
figindices = []
row = Gtk.GtkBoxLeaf(:h)
push!(vsep, row)
for (i,(r,c)) in enumerate(subplt.layout)
plt = subplt.plts[i]
# get the components... box is the main plot GtkBox, and canvas is the GtkCanvas where it's plotted
box, toolbar, canvas = Immerse.createPlotGuiComponents()
# add the plot's box to the row
push!(row, box)
# create the figure and store the index returned for destruction later
figidx = Immerse.figure(canvas)
push!(figindices, figidx)
fig = Immerse.figure(figidx)
plt.o = (fig, plt.o[2])
# add the row
if c == ncols(subplt.layout, r)
row = Gtk.GtkBoxLeaf(:h)
push!(vsep, row)
end
end
# destructor... clean up plots
Gtk.on_signal_destroy((x...) -> ([Immerse.dropfig(Immerse._display,i) for i in figindices]; subplt.o = nothing), win)
subplt.o = win
true
end
# function _create_subplot(subplt::Subplot{ImmerseBackend}, isbefore::Bool)
# return false
# # isbefore && return false
# end
#
# function showSubplotObject(subplt::Subplot{ImmerseBackend})
# # create the Gtk window with vertical box vsep
# d = getattr(subplt,1)
# w,h = d[:size]
# vsep = Gtk.GtkBoxLeaf(:v)
# win = Gtk.GtkWindowLeaf(vsep, d[:window_title], w, h)
#
# figindices = []
# row = Gtk.GtkBoxLeaf(:h)
# push!(vsep, row)
# for (i,(r,c)) in enumerate(subplt.layout)
# plt = subplt.plts[i]
#
# # get the components... box is the main plot GtkBox, and canvas is the GtkCanvas where it's plotted
# box, toolbar, canvas = Immerse.createPlotGuiComponents()
#
# # add the plot's box to the row
# push!(row, box)
#
# # create the figure and store the index returned for destruction later
# figidx = Immerse.figure(canvas)
# push!(figindices, figidx)
#
# fig = Immerse.figure(figidx)
# plt.o = (fig, plt.o[2])
#
# # add the row
# if c == ncols(subplt.layout, r)
# row = Gtk.GtkBoxLeaf(:h)
# push!(vsep, row)
# end
#
# end
#
# # destructor... clean up plots
# Gtk.on_signal_destroy((x...) -> ([Immerse.dropfig(Immerse._display,i) for i in figindices]; subplt.o = nothing), win)
#
# subplt.o = win
# true
# end
function _remove_axis(plt::Plot{ImmersePackage}, isx::Bool)
function _remove_axis(plt::Plot{ImmerseBackend}, isx::Bool)
gplt = getGadflyContext(plt)
addOrReplace(gplt.guides, isx ? Gadfly.Guide.xticks : Gadfly.Guide.yticks; label=false)
addOrReplace(gplt.guides, isx ? Gadfly.Guide.xlabel : Gadfly.Guide.ylabel, "")
end
function _expand_limits(lims, plt::Plot{ImmersePackage}, isx::Bool)
function _expand_limits(lims, plt::Plot{ImmerseBackend}, isx::Bool)
for l in getGadflyContext(plt).layers
_expand_limits(lims, l.mapping[isx ? :x : :y])
end
@@ -136,15 +149,15 @@ end
# ----------------------------------------------------------------
getGadflyContext(plt::Plot{ImmersePackage}) = plt.o[2]
getGadflyContext(subplt::Subplot{ImmersePackage}) = buildGadflySubplotContext(subplt)
getGadflyContext(plt::Plot{ImmerseBackend}) = plt.o[2]
# getGadflyContext(subplt::Subplot{ImmerseBackend}) = buildGadflySubplotContext(subplt)
function Base.display(::PlotsDisplay, plt::Plot{ImmersePackage})
function Base.display(::PlotsDisplay, plt::Plot{ImmerseBackend})
fig, gplt = plt.o
if fig == nothing
fig = createImmerseFigure(plt.plotargs)
fig = createImmerseFigure(plt.attr)
Gtk.on_signal_destroy((x...) -> (Immerse.dropfig(Immerse._display, fig.figno); plt.o = (nothing,gplt)), fig.canvas)
plt.o = (fig, gplt)
end
@@ -154,20 +167,20 @@ function Base.display(::PlotsDisplay, plt::Plot{ImmersePackage})
end
function Base.display(::PlotsDisplay, subplt::Subplot{ImmersePackage})
# if we haven't created the window yet, do it
if subplt.o == nothing
showSubplotObject(subplt)
end
# display the plots by creating a fresh Immerse.Figure object from the GtkCanvas and Gadfly.Plot
for plt in subplt.plts
fig, gplt = plt.o
Immerse.figure(fig.figno; displayfig = false)
display(gplt)
end
# o is the window... show it
showall(subplt.o)
end
# function Base.display(::PlotsDisplay, subplt::Subplot{ImmerseBackend})
#
# # if we haven't created the window yet, do it
# if subplt.o == nothing
# showSubplotObject(subplt)
# end
#
# # display the plots by creating a fresh Immerse.Figure object from the GtkCanvas and Gadfly.Plot
# for plt in subplt.plts
# fig, gplt = plt.o
# Immerse.figure(fig.figno; displayfig = false)
# display(gplt)
# end
#
# # o is the window... show it
# showall(subplt.o)
# end
+290 -76
View File
@@ -1,107 +1,321 @@
# https://github.com/sisl/PGFPlots.jl
function _initialize_backend(::PGFPlotsPackage; kw...)
@eval begin
import PGFPlots
export PGFPlots
# TODO: other initialization that needs to be eval-ed
end
# TODO: other initialization
end
# significant contributions by: @pkofod
# ---------------------------------------------------------------------------
supported_args(::PGFPlotsBackend) = merge_with_base_supported([
# :annotations,
# :background_color_legend,
:background_color_inside,
# :background_color_outside,
# :foreground_color_legend, :foreground_color_grid, :foreground_color_axis,
# :foreground_color_text, :foreground_color_border,
:label,
:seriescolor, :seriesalpha,
:linecolor, :linestyle, :linewidth, :linealpha,
:markershape, :markercolor, :markersize, :markeralpha,
:markerstrokewidth, :markerstrokecolor, :markerstrokealpha, :markerstrokestyle,
:fillrange, :fillcolor, :fillalpha,
:bins,
# :bar_width, :bar_edges,
:title,
# :window_title,
:guide, :lims, :ticks, :scale, :flip, :rotation,
:tickfont, :guidefont, :legendfont,
:grid, :legend,
# :colorbar,
# :marker_z, :levels,
# :ribbon, :quiver, :arrow,
# :orientation,
# :overwrite_figure,
# :polar,
# :normalize, :weights, :contours,
:aspect_ratio,
# :match_dimensions,
])
supported_types(::PGFPlotsBackend) = [:path, :path3d, :scatter, :steppre, :stepmid, :steppost, :histogram2d, :ysticks, :xsticks, :contour]
supported_styles(::PGFPlotsBackend) = [:auto, :solid, :dash, :dot, :dashdot, :dashdotdot]
supported_markers(::PGFPlotsBackend) = [:none, :auto, :circle, :rect, :diamond, :utriangle, :dtriangle, :cross, :xcross, :star5, :pentagon] #vcat(_allMarkers, Shape)
supported_scales(::PGFPlotsBackend) = [:identity, :ln, :log2, :log10]
is_subplot_supported(::PGFPlotsBackend) = false
function _create_plot(pkg::PGFPlotsPackage; kw...)
d = Dict{Symbol,Any}(kw)
# TODO: create the window/canvas/context that is the plot within the backend (call it `o`)
# TODO: initialize the plot... title, xlabel, bgcolor, etc
Plot(nothing, pkg, 0, d, Dict[])
# --------------------------------------------------------------------------------------
function _initialize_backend(::PGFPlotsBackend; kw...)
@eval begin
import PGFPlots
export PGFPlots
end
end
function _add_series(::PGFPlotsPackage, plt::Plot; kw...)
d = Dict{Symbol,Any}(kw)
# TODO: add one series to the underlying package
push!(plt.seriesargs, d)
plt
# --------------------------------------------------------------------------------------
const _pgfplots_linestyles = KW(
:solid => "solid",
:dash => "dashed",
:dot => "dotted",
:dashdot => "dashdotted",
:dashdotdot => "dashdotdotted",
)
const _pgfplots_markers = KW(
:none => "none",
:cross => "+",
:xcross => "x",
:utriangle => "triangle*",
:dtriangle => "triangle*",
:circle => "*",
:rect => "square*",
:star5 => "star",
:star6 => "asterisk",
:diamond => "diamond*",
:pentagon => "pentagon*",
)
const _pgfplots_legend_pos = KW(
:bottomleft => "south west",
:bottomright => "south east",
:topright => "north east",
:topleft => "north west",
)
const _pgf_series_extrastyle = KW(
:steppre => "const plot mark right",
:stepmid => "const plot mark mid",
:steppost => "const plot",
:sticks => "ycomb",
:ysticks => "ycomb",
:xsticks => "xcomb",
)
# --------------------------------------------------------------------------------------
# takes in color,alpha, and returns color and alpha appropriate for pgf style
function pgf_color(c, a = nothing)
c = getColor(c)
cstr = @sprintf("{rgb,1:red,%.8f;green,%.8f;blue,%.8f}", red(c), green(c), blue(c))
a = float(a == nothing ? alpha(c) : a)
cstr, a
end
function _add_annotations{X,Y,V}(plt::Plot{PGFPlotsPackage}, anns::AVec{@compat(Tuple{X,Y,V})})
# set or add to the annotation_list
if haskey(plt.plotargs, :annotation_list)
append!(plt.plotargs[:annotation_list], anns)
else
plt.plotargs[:annotation_list] = anns
end
function pgf_fillstyle(d::KW)
cstr,a = pgf_color(d[:fillcolor], d[:fillalpha])
"fill = $cstr, fill opacity=$a"
end
function pgf_linestyle(d::KW)
cstr,a = pgf_color(d[:linecolor], d[:linealpha])
"""
color = $cstr,
draw opacity=$a,
line width=$(d[:linewidth]),
$(get(_pgfplots_linestyles, d[:linestyle], "solid"))"""
end
function pgf_marker(d::KW)
shape = d[:markershape]
cstr, a = pgf_color(d[:markercolor], d[:markeralpha])
cstr_stroke, a_stroke = pgf_color(d[:markerstrokecolor], d[:markerstrokealpha])
"""
mark = $(get(_pgfplots_markers, shape, "*")),
mark size = $(0.5 * d[:markersize]),
mark options = {
color = $cstr_stroke, draw opacity = $a_stroke,
fill = $cstr, fill opacity = $a,
line width = $(d[:markerstrokewidth]),
rotate = $(shape == :dtriangle ? 180 : 0),
$(get(_pgfplots_linestyles, d[:markerstrokestyle], "solid"))
}"""
end
# --------------------------------------------------------------------------------------
function pgf_series(sp::Subplot, series::Series)
d = series.d
st = d[:seriestype]
style = []
kw = KW()
push!(style, pgf_linestyle(d))
push!(style, pgf_marker(d))
if d[:fillrange] != nothing
push!(style, pgf_fillstyle(d))
end
# add to legend?
if sp[:legend] != :none && should_add_to_legend(series)
kw[:legendentry] = d[:label]
end
# function args
args = if st == :contour
d[:z].surf, d[:x], d[:y]
elseif is3d(st)
d[:x], d[:y], d[:z]
else
d[:x], d[:y]
end
# PGFPlots can't handle non-Vector?
args = map(a -> if typeof(a) <: AbstractVector && typeof(a) != Vector
collect(a)
else
a
end, args)
# for (i,a) in enumerate(args)
# if typeof(a) <: AbstractVector && typeof(a) != Vector
# args[i] = collect(a)
# end
# end
# include additional style, then add to the kw
if haskey(_pgf_series_extrastyle, st)
push!(style, _pgf_series_extrastyle[st])
end
kw[:style] = join(style, ',')
# build/return the series object
func = if st == :path3d
PGFPlots.Linear3
elseif st == :scatter
PGFPlots.Scatter
elseif st == :histogram2d
PGFPlots.Histogram2
elseif st == :contour
PGFPlots.Contour
else
PGFPlots.Linear
end
func(args...; kw...)
end
# ----------------------------------------------------------------
function _before_update_plot(plt::Plot{PGFPlotsPackage})
end
function pgf_axis(sp::Subplot, letter)
axis = sp[Symbol(letter,:axis)]
style = []
kw = KW()
# TODO: override this to update plot items (title, xlabel, etc) after creation
function _update_plot(plt::Plot{PGFPlotsPackage}, d::Dict)
end
# axis guide
kw[Symbol(letter,:label)] = axis[:guide]
function _update_plot_pos_size(plt::PlottingObject{PGFPlotsPackage}, d::Dict)
end
# flip/reverse?
axis[:flip] && push!(style, "$letter dir=reverse")
# ----------------------------------------------------------------
# scale
scale = axis[:scale]
if scale in (:log2, :ln, :log10)
kw[Symbol(letter,:mode)] = "log"
scale == :ln || push!(style, "log basis $letter=$(scale == :log2 ? 2 : 10)")
end
# accessors for x/y data
# limits
# TODO: support zlims
if letter != :z
lims = axis_limits(axis)
kw[Symbol(letter,:min)] = lims[1]
kw[Symbol(letter,:max)] = lims[2]
end
function Base.getindex(plt::Plot{PGFPlotsPackage}, i::Int)
d = plt.seriesargs[i]
d[:x], d[:y]
end
function Base.setindex!(plt::Plot{PGFPlotsPackage}, xy::Tuple, i::Integer)
d = plt.seriesargs[i]
d[:x], d[:y] = xy
plt
end
# ----------------------------------------------------------------
function _create_subplot(subplt::Subplot{PGFPlotsPackage}, isbefore::Bool)
# TODO: build the underlying Subplot object. this is where you might layout the panes within a GUI window, for example
true
end
function _expand_limits(lims, plt::Plot{PGFPlotsPackage}, isx::Bool)
# TODO: call expand limits for each plot data
end
function _remove_axis(plt::Plot{PGFPlotsPackage}, isx::Bool)
# TODO: if plot is inner subplot, might need to remove ticks or axis labels
# return the style list and KW args
style, kw
end
# ----------------------------------------------------------------
# ----------------------------------------------------------------
function _make_pgf_plot!(plt::Plot)
plt.o = PGFPlots.Axis[]
for sp in plt.subplots
# first build the PGFPlots.Axis object
style = ["unbounded coords=jump"]
kw = KW()
################# This is the important method to implement!!! #################
function _make_pgf_plot(plt::Plot{PGFPlotsPackage})
# TODO: convert plt.plotargs and plt.seriesargs into PGFPlots calls
# TODO: return the PGFPlots object
# add to style/kw for each axis
for letter in (:x, :y, :z)
if letter != :z || is3d(sp)
axisstyle, axiskw = pgf_axis(sp, letter)
merge!(kw, axiskw)
end
end
# bounding box values are in mm
# note: bb origin is top-left, pgf is bottom-left
bb = bbox(sp)
push!(style, """
xshift = $(left(bb).value)mm,
yshift = $((height(bb) - (bottom(bb))).value)mm,
width = $(width(bb).value)mm,
height = $(height(bb).value)mm,
axis background/.style={fill=$(pgf_color(sp[:background_color_inside])[1])}
""")
if sp[:title] != ""
push!(style, "title = $(sp[:title])")
end
sp[:grid] && push!(style, "grid = major")
if sp[:aspect_ratio] in (1, :equal)
kw[:axisEqual] = "true"
end
legpos = sp[:legend]
if haskey(_pgfplots_legend_pos, legpos)
kw[:legendPos] = _pgfplots_legend_pos[legpos]
end
o = PGFPlots.Axis(; style = style, kw...)
# add the series object to the PGFPlots.Axis
for series in series_list(sp)
push!(o, pgf_series(sp, series))
end
# add the PGFPlots.Axis to the list
push!(plt.o, o)
end
end
function Base.writemime(io::IO, mime::MIME"image/png", plt::PlottingObject{PGFPlotsPackage})
plt.o = _make_pgf_plot(plt)
writemime(io, mime, plt.o)
function _writemime(io::IO, mime::MIME"image/svg+xml", plt::Plot{PGFPlotsBackend})
_make_pgf_plot!(plt)
writemime(io, mime, plt.o)
end
# function Base.writemime(io::IO, ::MIME"text/html", plt::PlottingObject{PGFPlotsPackage})
# end
function _writemime(io::IO, mime::MIME"application/pdf", plt::Plot{PGFPlotsBackend})
_make_pgf_plot!(plt)
function Base.display(::PlotsDisplay, plt::PlottingObject{PGFPlotsPackage})
plt.o = _make_pgf_plot(plt)
display(plt.o)
# prepare the object
pgfplt = PGFPlots.plot(plt.o)
# save a pdf
fn = tempname()*".pdf"
PGFPlots.save(PGFPlots.PDF(fn), pgfplt)
# read it into io
write(io, readall(open(fn)))
# cleanup
PGFPlots.cleanup(plt.o)
end
# function Base.display(::PlotsDisplay, plt::Subplot{PGFPlotsPackage})
# # TODO: display/show the subplot
# end
function _display(plt::Plot{PGFPlotsBackend})
# prepare the object
_make_pgf_plot!(plt)
pgfplt = PGFPlots.plot(plt.o)
# save an svg
fn = string(tempname(), ".svg")
PGFPlots.save(PGFPlots.SVG(fn), pgfplt)
# show it
open_browser_window(fn)
# cleanup
PGFPlots.cleanup(plt.o)
end
+466 -388
View File
@@ -1,265 +1,309 @@
# https://plot.ly/javascript/getting-started
function _initialize_backend(::PlotlyPackage; kw...)
supported_args(::PlotlyBackend) = merge_with_base_supported([
:annotations,
:background_color_legend, :background_color_inside, :background_color_outside,
:foreground_color_legend, :foreground_color_guide,
# :foreground_color_grid, :foreground_color_axis,
:foreground_color_text, :foreground_color_border,
:foreground_color_title,
:label,
:seriescolor, :seriesalpha,
:linecolor, :linestyle, :linewidth, :linealpha,
:markershape, :markercolor, :markersize, :markeralpha,
:markerstrokewidth, :markerstrokecolor, :markerstrokealpha, :markerstrokestyle,
:fillrange, :fillcolor, :fillalpha,
:bins,
:title, :title_location, :titlefont,
:window_title,
:guide, :lims, :ticks, :scale, :flip, :rotation,
:tickfont, :guidefont, :legendfont,
:grid, :legend, :colorbar,
:marker_z, :levels,
:ribbon, :quiver,
:orientation,
# :overwrite_figure,
:polar,
:normalize, :weights,
# :contours, :aspect_ratio,
:hover,
:inset_subplots,
])
supported_types(::PlotlyBackend) = [
:path, :scatter, :bar, :pie, :heatmap,
:contour, :surface, :path3d, :scatter3d, :shape, :scattergl,
]
supported_styles(::PlotlyBackend) = [:auto, :solid, :dash, :dot, :dashdot]
supported_markers(::PlotlyBackend) = [
:none, :auto, :circle, :rect, :diamond, :utriangle, :dtriangle,
:cross, :xcross, :pentagon, :hexagon, :octagon, :vline, :hline
]
supported_scales(::PlotlyBackend) = [:identity, :log10]
is_subplot_supported(::PlotlyBackend) = true
is_string_supported(::PlotlyBackend) = true
# --------------------------------------------------------------------------------------
function _initialize_backend(::PlotlyBackend; kw...)
@eval begin
import JSON
JSON._print(io::IO, state::JSON.State, dt::Union{Date,DateTime}) = print(io, '"', dt, '"')
############################
# borrowed from https://github.com/spencerlyon2/Plotlyjs.jl/blob/master/src/display.jl
_js_path = joinpath(Pkg.dir("Plots"), "deps", "plotly-latest.min.js")
_js_path = Pkg.dir("Plots", "deps", "plotly-latest.min.js")
_js_code = open(@compat(readstring), _js_path, "r")
# borrowed from https://github.com/plotly/plotly.py/blob/2594076e29584ede2d09f2aa40a8a195b3f3fc66/plotly/offline/offline.py#L64-L71 c/o @spencerlyon2
_js_script = """
<script type='text/javascript'>
define('plotly', function(require, exports, module) {
$(_js_code)
});
require(['plotly'], function(Plotly) {
window.Plotly = Plotly;
});
</script>
"""
# if we're in IJulia call setupnotebook to load js and css
if isijulia()
# the first script is some hack I needed to do in order for the notebook
# to not complain about Plotly being undefined
display("text/html", """
<script type="text/javascript">
require=requirejs=define=undefined;
</script>
<script type="text/javascript">
$(open(readall, _js_path, "r"))
</script>
""")
# display("text/html", "<p>Plotly javascript loaded.</p>")
display("text/html", _js_script)
end
# end borrowing (thanks :)
###########################
# try
# include(joinpath(Pkg.dir("Plots"), "src", "backends", "plotly_blink.jl"))
# catch err
# warn("Error including PlotlyJS: $err\n Note: Will fall back to built-in display.")
# if isatom()
# import Atom
# Atom.@msg evaljs(_js_code)
# end
end
# TODO: other initialization
end
# ---------------------------------------------------------------------------
function _create_plot(pkg::PlotlyPackage; kw...)
d = Dict{Symbol,Any}(kw)
# TODO: create the window/canvas/context that is the plot within the backend (call it `o`)
# TODO: initialize the plot... title, xlabel, bgcolor, etc
Plot(nothing, pkg, 0, d, Dict[])
end
function _add_series(::PlotlyPackage, plt::Plot; kw...)
d = Dict{Symbol,Any}(kw)
# TODO: add one series to the underlying package
push!(plt.seriesargs, d)
plt
end
function _add_annotations{X,Y,V}(plt::Plot{PlotlyPackage}, anns::AVec{@compat(Tuple{X,Y,V})})
# set or add to the annotation_list
if haskey(plt.plotargs, :annotation_list)
append!(plt.plotargs[:annotation_list], anns)
else
plt.plotargs[:annotation_list] = anns
end
end
# ----------------------------------------------------------------
function _before_update_plot(plt::Plot{PlotlyPackage})
end
# TODO: override this to update plot items (title, xlabel, etc) after creation
function _update_plot(plt::Plot{PlotlyPackage}, d::Dict)
end
function _update_plot_pos_size(plt::PlottingObject{PlotlyPackage}, d::Dict)
end
# ----------------------------------------------------------------
# accessors for x/y data
function Base.getindex(plt::Plot{PlotlyPackage}, i::Int)
d = plt.seriesargs[i]
d[:x], d[:y]
end
function Base.setindex!(plt::Plot{PlotlyPackage}, xy::Tuple, i::Integer)
d = plt.seriesargs[i]
d[:x], d[:y] = xy
plt
end
# ----------------------------------------------------------------
function _create_subplot(subplt::Subplot{PlotlyPackage}, isbefore::Bool)
# TODO: build the underlying Subplot object. this is where you might layout the panes within a GUI window, for example
true
end
function _expand_limits(lims, plt::Plot{PlotlyPackage}, isx::Bool)
# TODO: call expand limits for each plot data
end
function _remove_axis(plt::Plot{PlotlyPackage}, isx::Bool)
# TODO: if plot is inner subplot, might need to remove ticks or axis labels
end
# ----------------------------------------------------------------
# TODO:
# _plotDefaults[:yrightlabel] = ""
# _plotDefaults[:xlims] = :auto
# _plotDefaults[:ylims] = :auto
# _plotDefaults[:xticks] = :auto
# _plotDefaults[:yticks] = :auto
# _plotDefaults[:xscale] = :identity
# _plotDefaults[:yscale] = :identity
# _plotDefaults[:xflip] = false
# _plotDefaults[:yflip] = false
function plotlyfont(font::Font, color = font.color)
Dict{Symbol,Any}(
:family => font.family,
:size => round(Int, font.pointsize*1.4),
:color => webcolor(color),
function plotly_font(font::Font, color = font.color)
KW(
:family => font.family,
:size => round(Int, font.pointsize*1.4),
:color => webcolor(color),
)
end
function get_annotation_dict(x, y, val::Union{AbstractString,Symbol})
Dict{Symbol,Any}(
:text => val,
:xref => "x",
:x => x,
:yref => "y",
:y => y,
:showarrow => false,
function plotly_annotation_dict(x, y, val; xref="paper", yref="paper")
KW(
:text => val,
:xref => xref,
:x => x,
:yref => xref,
:y => y,
:showarrow => false,
)
end
function get_annotation_dict(x, y, ptxt::PlotText)
merge(get_annotation_dict(x, y, ptxt.str), Dict{Symbol,Any}(
:font => plotlyfont(ptxt.font),
:xanchor => ptxt.font.halign == :hcenter ? :center : ptxt.font.halign,
:yanchor => ptxt.font.valign == :vcenter ? :middle : ptxt.font.valign,
:rotation => ptxt.font.rotation,
function plotly_annotation_dict(x, y, ptxt::PlotText; xref="paper", yref="paper")
merge(plotly_annotation_dict(x, y, ptxt.str; xref=xref, yref=yref), KW(
:font => plotly_font(ptxt.font),
:xanchor => ptxt.font.halign == :hcenter ? :center : ptxt.font.halign,
:yanchor => ptxt.font.valign == :vcenter ? :middle : ptxt.font.valign,
:rotation => ptxt.font.rotation,
))
end
function plotlyscale(scale::Symbol)
if scale == :log10
"log"
else
"-"
end
# function get_annotation_dict_for_arrow(d::KW, xyprev::Tuple, xy::Tuple, a::Arrow)
# xdiff = xyprev[1] - xy[1]
# ydiff = xyprev[2] - xy[2]
# dist = sqrt(xdiff^2 + ydiff^2)
# KW(
# :showarrow => true,
# :x => xy[1],
# :y => xy[2],
# # :ax => xyprev[1] - xy[1],
# # :ay => xy[2] - xyprev[2],
# # :ax => 0,
# # :ay => -40,
# :ax => 10xdiff / dist,
# :ay => -10ydiff / dist,
# :arrowcolor => webcolor(d[:linecolor], d[:linealpha]),
# :xref => "x",
# :yref => "y",
# :arrowsize => 10a.headwidth,
# # :arrowwidth => a.headlength,
# :arrowwidth => 0.1,
# )
# end
function plotly_scale(scale::Symbol)
if scale == :log10
"log"
else
"-"
end
end
use_axis_field(ticks) = !(ticks in (nothing, :none))
tickssym(isx::Bool) = symbol((isx ? "x" : "y") * "ticks")
limssym(isx::Bool) = symbol((isx ? "x" : "y") * "lims")
flipsym(isx::Bool) = symbol((isx ? "x" : "y") * "flip")
scalesym(isx::Bool) = symbol((isx ? "x" : "y") * "scale")
labelsym(isx::Bool) = symbol((isx ? "x" : "y") * "label")
# this method gets the start/end in percentage of the canvas for this axis direction
function plotly_domain(sp::Subplot, letter)
figw, figh = sp.plt[:size]
pcts = bbox_to_pcts(sp.plotarea, figw*px, figh*px)
i1,i2 = (letter == :x ? (1,3) : (2,4))
[pcts[i1], pcts[i1]+pcts[i2]]
end
function plotlyaxis(d::Dict, isx::Bool)
ax = Dict{Symbol,Any}(
:title => d[labelsym(isx)],
:showgrid => d[:grid],
:zeroline => false,
function plotly_axis(axis::Axis, sp::Subplot)
letter = axis[:letter]
ax = KW(
:title => axis[:guide],
:showgrid => sp[:grid],
:zeroline => false,
)
fgcolor = webcolor(d[:foreground_color])
tsym = tickssym(isx)
if use_axis_field(d[tsym])
ax[:titlefont] = plotlyfont(d[:guidefont], fgcolor)
ax[:type] = plotlyscale(d[scalesym(isx)])
ax[:tickfont] = plotlyfont(d[:tickfont], fgcolor)
ax[:tickcolor] = fgcolor
ax[:linecolor] = fgcolor
# xlims
lims = d[limssym(isx)]
if lims != :auto && limsType(lims) == :limits
ax[:range] = lims
if letter in (:x,:y)
ax[:domain] = plotly_domain(sp, letter)
ax[:anchor] = "$(letter==:x ? :y : :x)$(plotly_subplot_index(sp))"
end
# xflip
if d[flipsym(isx)]
ax[:autorange] = "reversed"
rot = axis[:rotation]
if rot != 0
ax[:tickangle] = rot
end
# xticks
ticks = d[tsym]
if ticks != :auto
ttype = ticksType(ticks)
if ttype == :ticks
ax[:tickmode] = "array"
ax[:tickvals] = ticks
elseif ttype == :ticks_and_labels
ax[:tickmode] = "array"
ax[:tickvals], ax[:ticktext] = ticks
end
if !(axis[:ticks] in (nothing, :none))
ax[:titlefont] = plotly_font(axis[:guidefont], axis[:foreground_color_guide])
ax[:type] = plotly_scale(axis[:scale])
ax[:tickfont] = plotly_font(axis[:tickfont], axis[:foreground_color_text])
ax[:tickcolor] = webcolor(axis[:foreground_color_border])
ax[:linecolor] = webcolor(axis[:foreground_color_border])
# lims
lims = axis[:lims]
if lims != :auto && limsType(lims) == :limits
ax[:range] = lims
end
# flip
if axis[:flip]
ax[:autorange] = "reversed"
end
# ticks
ticks = axis[:ticks]
if ticks != :auto
ttype = ticksType(ticks)
if ttype == :ticks
ax[:tickmode] = "array"
ax[:tickvals] = ticks
elseif ttype == :ticks_and_labels
ax[:tickmode] = "array"
ax[:tickvals], ax[:ticktext] = ticks
end
end
else
ax[:showticklabels] = false
ax[:showgrid] = false
end
ax
else
ax[:showticklabels] = false
ax[:showgrid] = false
end
ax
end
# function get_plot_json(plt::Plot{PlotlyPackage})
# d = plt.plotargs
function plotly_layout(d::Dict)
d_out = Dict{Symbol,Any}()
function plotly_layout(plt::Plot)
d_out = KW()
bgcolor = webcolor(d[:background_color])
fgcolor = webcolor(d[:foreground_color])
w, h = plt[:size]
d_out[:width], d_out[:height] = w, h
d_out[:paper_bgcolor] = webcolor(plt[:background_color_outside])
d_out[:margin] = KW(:l=>0, :b=>0, :r=>0, :t=>20)
# set the fields for the plot
d_out[:title] = d[:title]
d_out[:titlefont] = plotlyfont(d[:guidefont], fgcolor)
d_out[:margin] = Dict{Symbol,Any}(:l=>35, :b=>30, :r=>8, :t=>20)
d_out[:plot_bgcolor] = bgcolor
d_out[:paper_bgcolor] = bgcolor
d_out[:annotations] = KW[]
# TODO: x/y axis tick values/labels
d_out[:xaxis] = plotlyaxis(d, true)
d_out[:yaxis] = plotlyaxis(d, false)
for sp in plt.subplots
spidx = plotly_subplot_index(sp)
# legend
d_out[:showlegend] = d[:legend] != :none
if d[:legend] != :none
d_out[:legend] = Dict{Symbol,Any}(
:bgcolor => bgcolor,
:bordercolor => fgcolor,
:font => plotlyfont(d[:legendfont]),
)
end
# add an annotation for the title... positioned horizontally relative to plotarea,
# but vertically just below the top of the subplot bounding box
if sp[:title] != ""
bb = plotarea(sp)
tpos = sp[:title_location]
xmm = if tpos == :left
left(bb)
elseif tpos == :right
right(bb)
else
0.5 * (left(bb) + right(bb))
end
titlex, titley = xy_mm_to_pcts(xmm, top(bbox(sp)), w*px, h*px)
titlefont = font(sp[:titlefont], :top, sp[:foreground_color_title])
push!(d_out[:annotations], plotly_annotation_dict(titlex, titley, text(sp[:title], titlefont)))
end
# annotations
anns = get(d, :annotation_list, [])
if !isempty(anns)
d_out[:annotations] = [get_annotation_dict(ann...) for ann in anns]
end
d_out[:plot_bgcolor] = webcolor(sp[:background_color_inside])
d_out
# TODO: x/y axis tick values/labels
# if any(is3d, seriesargs)
if is3d(sp)
d_out[:scene] = KW(
Symbol("xaxis$spidx") => plotly_axis(sp[:xaxis], sp),
Symbol("yaxis$spidx") => plotly_axis(sp[:yaxis], sp),
Symbol("zaxis$spidx") => plotly_axis(sp[:zaxis], sp),
)
else
d_out[Symbol("xaxis$spidx")] = plotly_axis(sp[:xaxis], sp)
d_out[Symbol("yaxis$spidx")] = plotly_axis(sp[:yaxis], sp)
end
# legend
d_out[:showlegend] = sp[:legend] != :none
if sp[:legend] != :none
d_out[:legend] = KW(
:bgcolor => webcolor(sp[:background_color_legend]),
:bordercolor => webcolor(sp[:foreground_color_legend]),
:font => plotly_font(sp[:legendfont], sp[:foreground_color_legend]),
)
end
# annotations
append!(d_out[:annotations], KW[plotly_annotation_dict(ann...; xref = "x$spidx", yref = "y$spidx") for ann in sp[:annotations]])
# # arrows
# for sargs in seriesargs
# a = sargs[:arrow]
# if sargs[:seriestype] in (:path, :line) && typeof(a) <: Arrow
# add_arrows(sargs[:x], sargs[:y]) do xyprev, xy
# push!(d_out[:annotations], get_annotation_dict_for_arrow(sargs, xyprev, xy, a))
# end
# end
# end
if ispolar(sp)
d_out[:direction] = "counterclockwise"
end
d_out
end
# turn off hover if nothing's using it
if all(series -> series.d[:hover] in (false,:none), plt.series_list)
d_out[:hovermode] = "none"
end
d_out
end
function get_plot_json(plt::Plot{PlotlyPackage})
JSON.json(plotly_layout(plt.plotargs))
function plotly_layout_json(plt::Plot)
JSON.json(plotly_layout(plt))
end
function plotly_colorscale(grad::ColorGradient)
[[grad.values[i], webcolor(grad.colors[i])] for i in 1:length(grad.colors)]
function plotly_colorscale(grad::ColorGradient, alpha = nothing)
[[grad.values[i], webcolor(grad.colors[i], alpha)] for i in 1:length(grad.colors)]
end
plotly_colorscale(c) = plotly_colorscale(ColorGradient(:bluesreds))
plotly_colorscale(c, alpha = nothing) = plotly_colorscale(default_gradient(), alpha)
const _plotly_markers = Dict{Symbol,Any}(
const _plotly_markers = KW(
:rect => "square",
:xcross => "x",
:utriangle => "triangle-up",
@@ -267,216 +311,250 @@ const _plotly_markers = Dict{Symbol,Any}(
:star5 => "star-triangle-up",
:vline => "line-ns",
:hline => "line-ew",
)
)
function plotly_subplot_index(sp::Subplot)
spidx = sp[:subplot_index]
spidx == 1 ? "" : spidx
end
# the Shape contructor will automatically close the shape. since we need it closed,
# we split by NaNs and then construct/destruct the shapes to get the closed coords
function plotly_close_shapes(x, y)
xs, ys = nansplit(x), nansplit(y)
for i=1:length(xs)
shape = Shape(xs[i], ys[i])
xs[i], ys[i] = shape_coords(shape)
end
nanvcat(xs), nanvcat(ys)
end
# get a dictionary representing the series params (d is the Plots-dict, d_out is the Plotly-dict)
function plotly_series(d::Dict; plot_index = nothing)
d_out = Dict{Symbol,Any}()
function plotly_series(plt::Plot, series::Series)
d = series.d
sp = d[:subplot]
d_out = KW()
x, y = collect(d[:x]), collect(d[:y])
d_out[:name] = d[:label]
# these are the axes that the series should be mapped to
spidx = plotly_subplot_index(sp)
d_out[:xaxis] = "x$spidx"
d_out[:yaxis] = "y$spidx"
d_out[:showlegend] = should_add_to_legend(series)
lt = d[:linetype]
isscatter = lt in (:scatter, :scatter3d)
hasmarker = isscatter || d[:markershape] != :none
hasline = !isscatter
x, y = collect(d[:x]), collect(d[:y])
d_out[:name] = d[:label]
st = d[:seriestype]
isscatter = st in (:scatter, :scatter3d, :scattergl)
hasmarker = isscatter || d[:markershape] != :none
# hasline = !isscatter
hasline = st in (:path, :path3d)
# set the "type"
if lt in (:line, :path, :scatter, :steppre, :steppost)
d_out[:type] = "scatter"
d_out[:mode] = if hasmarker
hasline ? "lines+markers" : "markers"
else
hasline ? "lines" : "none"
end
if d[:fillrange] == true || d[:fillrange] == 0
d_out[:fill] = "tozeroy"
d_out[:fillcolor] = webcolor(d[:fillcolor], d[:fillalpha])
elseif !(d[:fillrange] in (false, nothing))
warn("fillrange ignored... plotly only supports filling to zero. fillrange: $(d[:fillrange])")
end
d_out[:x], d_out[:y] = x, y
elseif lt == :bar
d_out[:type] = "bar"
d_out[:x], d_out[:y] = x, y
elseif lt == :heatmap
d_out[:type] = "histogram2d"
d_out[:x], d_out[:y] = x, y
if isa(d[:nbins], Tuple)
xbins, ybins = d[:nbins]
else
xbins = ybins = d[:nbins]
end
d_out[:nbinsx] = xbins
d_out[:nbinsy] = ybins
elseif lt in (:hist, :density)
d_out[:type] = "histogram"
isvert = d[:orientation] in (:vertical, :v, :vert)
d_out[isvert ? :x : :y] = y
d_out[isvert ? :nbinsx : :nbinsy] = d[:nbins]
if lt == :density
d_out[:histnorm] = "probability density"
end
elseif lt in (:contour, :surface, :wireframe)
d_out[:type] = lt == :wireframe ? :surface : string(lt)
d_out[:x], d_out[:y] = x, y
d_out[:z] = d[:z].surf
# d_out[:showscale] = d[:legend]
if lt == :contour
d_out[:ncontours] = d[:levels]
d_out[:contours] = Dict{Symbol,Any}(:coloring => d[:fillrange] != nothing ? "fill" : "lines")
end
d_out[:colorscale] = plotly_colorscale(d[lt == :contour ? :linecolor : :fillcolor])
elseif lt == :pie
d_out[:type] = "pie"
d_out[:labels] = x
d_out[:values] = y
d_out[:hoverinfo] = "label+percent+name"
elseif lt in (:path3d, :scatter3d)
d_out[:type] = "scatter3d"
d_out[:mode] = if hasmarker
hasline ? "lines+markers" : "markers"
else
hasline ? "lines" : "none"
end
d_out[:x], d_out[:y] = x, y
d_out[:z] = collect(d[:z])
else
warn("Plotly: linetype $lt isn't supported.")
return Dict{Symbol,Any}()
end
# add "marker"
if hasmarker
d_out[:marker] = Dict{Symbol,Any}(
:symbol => get(_plotly_markers, d[:markershape], string(d[:markershape])),
:opacity => d[:markeralpha],
:size => 2 * d[:markersize],
:color => webcolor(d[:markercolor], d[:markeralpha]),
:line => Dict{Symbol,Any}(
:color => webcolor(d[:markerstrokecolor], d[:markerstrokealpha]),
:width => d[:markerstrokewidth],
),
)
if d[:zcolor] != nothing
d_out[:marker][:color] = d[:zcolor]
d_out[:marker][:colorscale] = plotly_colorscale(d[:markercolor])
end
end
# add "line"
if hasline
d_out[:line] = Dict{Symbol,Any}(
:color => webcolor(d[:linecolor], d[:linealpha]),
:width => d[:linewidth],
:shape => if lt == :steppre
"vh"
elseif lt == :steppost
"hv"
# set the "type"
if st in (:path, :scatter, :scattergl)
d_out[:type] = st==:scattergl ? "scattergl" : "scatter"
d_out[:mode] = if hasmarker
hasline ? "lines+markers" : "markers"
else
"linear"
end,
:dash => string(d[:linestyle]),
# :dash => "solid",
)
end
hasline ? "lines" : "none"
end
if d[:fillrange] == true || d[:fillrange] == 0
d_out[:fill] = "tozeroy"
d_out[:fillcolor] = webcolor(d[:fillcolor], d[:fillalpha])
elseif !(d[:fillrange] in (false, nothing))
warn("fillrange ignored... plotly only supports filling to zero. fillrange: $(d[:fillrange])")
end
d_out[:x], d_out[:y] = x, y
# # for subplots, we need to add the xaxis/yaxis fields
# if plot_index != nothing
# d_out[:xaxis] = "x$(plot_index)"
# d_out[:yaxis] = "y$(plot_index)"
# end
elseif st == :shape
# to draw polygons, we actually draw lines with fill
d_out[:type] = "scatter"
d_out[:mode] = "lines"
d_out[:x], d_out[:y] = plotly_close_shapes(x, y)
# @show map(length, (x,y,d_out[:x],d_out[:y]))
# @show d_out[:x] d_out[:y]
d_out[:fill] = "tozeroy"
d_out[:fillcolor] = webcolor(d[:markercolor], d[:markeralpha])
if d[:markerstrokewidth] > 0
d_out[:line] = KW(
:color => webcolor(d[:markerstrokecolor], d[:markerstrokealpha]),
:width => d[:markerstrokewidth],
:dash => string(d[:markerstrokestyle]),
)
end
d_out
elseif st == :bar
d_out[:type] = "bar"
d_out[:x], d_out[:y] = x, y
d_out[:orientation] = isvertical(d) ? "v" : "h"
# elseif st == :histogram2d
# d_out[:type] = "histogram2d"
# d_out[:x], d_out[:y] = x, y
# if isa(d[:bins], Tuple)
# xbins, ybins = d[:bins]
# else
# xbins = ybins = d[:bins]
# end
# d_out[:nbinsx] = xbins
# d_out[:nbinsy] = ybins
# d_out[:colorscale] = plotly_colorscale(d[:fillcolor], d[:fillalpha])
# elseif st in (:histogram, :density)
# d_out[:type] = "histogram"
# isvert = isvertical(d)
# d_out[isvert ? :x : :y] = y
# d_out[isvert ? :nbinsx : :nbinsy] = d[:bins]
# if st == :density
# d_out[:histogramnorm] = "probability density"
# end
elseif st == :heatmap
d_out[:type] = "heatmap"
d_out[:x], d_out[:y], d_out[:z] = d[:x], d[:y], transpose_z(d, d[:z].surf, false)
d_out[:colorscale] = plotly_colorscale(d[:fillcolor], d[:fillalpha])
elseif st == :contour
d_out[:type] = "contour"
d_out[:x], d_out[:y], d_out[:z] = d[:x], d[:y], transpose_z(d, d[:z].surf, false)
# d_out[:showscale] = d[:colorbar] != :none
d_out[:ncontours] = d[:levels]
d_out[:contours] = KW(:coloring => d[:fillrange] != nothing ? "fill" : "lines")
d_out[:colorscale] = plotly_colorscale(d[:linecolor], d[:linealpha])
elseif st in (:surface, :wireframe)
d_out[:type] = "surface"
d_out[:x], d_out[:y], d_out[:z] = d[:x], d[:y], transpose_z(d, d[:z].surf, false)
d_out[:colorscale] = plotly_colorscale(d[:fillcolor], d[:fillalpha])
elseif st == :pie
d_out[:type] = "pie"
d_out[:labels] = pie_labels(sp, series)
d_out[:values] = y
d_out[:hoverinfo] = "label+percent+name"
elseif st in (:path3d, :scatter3d)
d_out[:type] = "scatter3d"
d_out[:mode] = if hasmarker
hasline ? "lines+markers" : "markers"
else
hasline ? "lines" : "none"
end
d_out[:x], d_out[:y] = x, y
d_out[:z] = collect(d[:z])
else
warn("Plotly: seriestype $st isn't supported.")
return KW()
end
# add "marker"
if hasmarker
d_out[:marker] = KW(
:symbol => get(_plotly_markers, d[:markershape], string(d[:markershape])),
:opacity => d[:markeralpha],
:size => 2 * d[:markersize],
:color => webcolor(d[:markercolor], d[:markeralpha]),
:line => KW(
:color => webcolor(d[:markerstrokecolor], d[:markerstrokealpha]),
:width => d[:markerstrokewidth],
),
)
# gotta hack this (for now?) since plotly can't handle rgba values inside the gradient
if d[:marker_z] != nothing
# d_out[:marker][:color] = d[:marker_z]
# d_out[:marker][:colorscale] = plotly_colorscale(d[:markercolor], d[:markeralpha])
# d_out[:showscale] = true
grad = ColorGradient(d[:markercolor], alpha=d[:markeralpha])
zmin, zmax = extrema(d[:marker_z])
d_out[:marker][:color] = [webcolor(getColorZ(grad, (zi - zmin) / (zmax - zmin))) for zi in d[:marker_z]]
end
end
# add "line"
if hasline
d_out[:line] = KW(
:color => webcolor(d[:linecolor], d[:linealpha]),
:width => d[:linewidth],
:shape => if st == :steppre
"vh"
elseif st == :steppost
"hv"
else
"linear"
end,
:dash => string(d[:linestyle]),
# :dash => "solid",
)
end
# convert polar plots x/y to theta/radius
if ispolar(d[:subplot])
d_out[:t] = rad2deg(pop!(d_out, :x))
d_out[:r] = pop!(d_out, :y)
end
# hover text
hover = d[:hover]
if hover in (:none, false)
d_out[:hoverinfo] = "none"
elseif hover != nothing
d_out[:hoverinfo] = "text"
d_out[:text] = hover
end
d_out
end
# get a list of dictionaries, each representing the series params
function get_series_json(plt::Plot{PlotlyPackage})
JSON.json(map(plotly_series, plt.seriesargs))
end
function get_series_json(subplt::Subplot{PlotlyPackage})
ds = Dict[]
for (i,plt) in enumerate(subplt.plts)
for d in plt.seriesargs
push!(ds, plotly_series(d, plot_index = i))
end
end
JSON.json(ds)
function plotly_series_json(plt::Plot)
JSON.json(map(series -> plotly_series(plt, series), plt.series_list))
end
# ----------------------------------------------------------------
function html_head(plt::PlottingObject{PlotlyPackage})
"<script src=\"$(Pkg.dir("Plots","deps","plotly-latest.min.js"))\"></script>"
function html_head(plt::Plot{PlotlyBackend})
"<script src=\"$(Pkg.dir("Plots","deps","plotly-latest.min.js"))\"></script>"
end
function html_body(plt::Plot{PlotlyPackage}, style = nothing)
if style == nothing
w, h = plt.plotargs[:size]
style = "width:$(w)px;height:$(h)px;"
end
uuid = Base.Random.uuid4()
"""
<div id=\"$(uuid)\" style=\"$(style)\"></div>
<script>
PLOT = document.getElementById('$(uuid)');
Plotly.plot(PLOT, $(get_series_json(plt)), $(get_plot_json(plt)));
</script>
"""
end
function html_body(subplt::Subplot{PlotlyPackage})
w, h = subplt.plts[1].plotargs[:size]
html = ["<div style=\"width:$(w)px;height:$(h)px;\">"]
nr = nrows(subplt.layout)
ph = h / nr
for r in 1:nr
push!(html, "<div style=\"clear:both;\">")
nc = ncols(subplt.layout, r)
pw = w / nc
for c in 1:nc
plt = subplt[r,c]
push!(html, html_body(plt, "float:left; width:$(pw)px; height:$(ph)px;"))
function html_body(plt::Plot{PlotlyBackend}, style = nothing)
if style == nothing
w, h = plt[:size]
style = "width:$(w)px;height:$(h)px;"
end
uuid = Base.Random.uuid4()
html = """
<div id=\"$(uuid)\" style=\"$(style)\"></div>
<script>
PLOT = document.getElementById('$(uuid)');
Plotly.plot(PLOT, $(plotly_series_json(plt)), $(plotly_layout_json(plt)));
</script>
"""
html
end
push!(html, "</div>")
end
push!(html, "</div>")
join(html)
function js_body(plt::Plot{PlotlyBackend}, uuid)
js = """
PLOT = document.getElementById('$(uuid)');
Plotly.plot(PLOT, $(plotly_series_json(plt)), $(plotly_layout_json(plt)));
"""
end
# ----------------------------------------------------------------
function Base.writemime(io::IO, ::MIME"image/png", plt::PlottingObject{PlotlyPackage})
isijulia() && return
# TODO: write a png to io
println("todo: png")
function _writemime(io::IO, ::MIME"image/png", plt::Plot{PlotlyBackend})
writemime_png_from_html(io, plt)
end
function Base.writemime(io::IO, ::MIME"text/html", plt::PlottingObject{PlotlyPackage})
write(io, html_head(plt) * html_body(plt))
function _writemime(io::IO, ::MIME"image/svg+xml", plt::Plot{PlotlyBackend})
write(io, html_head(plt) * html_body(plt))
end
function Base.display(::PlotsDisplay, plt::PlottingObject{PlotlyPackage})
standalone_html_window(plt)
function _display(plt::Plot{PlotlyBackend})
standalone_html_window(plt)
end
# function Base.display(::PlotsDisplay, plt::Subplot{PlotlyPackage})
# # TODO: display/show the subplot
# end
+40 -81
View File
@@ -1,116 +1,75 @@
# https://github.com/spencerlyon2/PlotlyJS.jl
function _initialize_backend(::PlotlyJSPackage; kw...)
supported_args(::PlotlyJSBackend) = supported_args(PlotlyBackend())
supported_types(::PlotlyJSBackend) = supported_types(PlotlyBackend())
supported_styles(::PlotlyJSBackend) = supported_styles(PlotlyBackend())
supported_markers(::PlotlyJSBackend) = supported_markers(PlotlyBackend())
is_subplot_supported(::PlotlyJSBackend) = true
is_string_supported(::PlotlyJSBackend) = true
# --------------------------------------------------------------------------------------
function _initialize_backend(::PlotlyJSBackend; kw...)
@eval begin
import PlotlyJS
export PlotlyJS
end
for (mime, fmt) in PlotlyJS._mimeformats
@eval Base.writemime(io::IO, m::MIME{symbol($mime)}, p::Plot{PlotlyJSPackage}) =
writemime(io, m, p.o)
end
# # override IJulia inline display
# if isijulia()
# IJulia.display_dict(plt::AbstractPlot{PlotlyJSBackend}) = IJulia.display_dict(plt.o)
# end
end
# ---------------------------------------------------------------------------
function _create_plot(pkg::PlotlyJSPackage; kw...)
d = Dict(kw)
# TODO: create the window/canvas/context that is the plot within the backend (call it `o`)
# TODO: initialize the plot... title, xlabel, bgcolor, etc
o = PlotlyJS.Plot(PlotlyJS.GenericTrace[], PlotlyJS.Layout(),
Base.Random.uuid4(), PlotlyJS.ElectronDisplay())
Plot(o, pkg, 0, d, Dict[])
function _create_backend_figure(plt::Plot{PlotlyJSBackend})
PlotlyJS.plot()
end
function _add_series(::PlotlyJSPackage, plt::Plot; kw...)
d = Dict(kw)
# add to the data array
pdict = plotly_series(d)
function _series_added(plt::Plot{PlotlyJSBackend}, series::Series)
syncplot = plt.o
pdict = plotly_series(plt, series)
typ = pop!(pdict, :type)
gt = PlotlyJS.GenericTrace(typ; pdict...)
push!(plt.o.data, gt)
if PlotlyJS.isactive(plt.o._display)
PlotlyJS.addtraces!(plt.o, gt)
end
push!(plt.seriesargs, d)
plt
PlotlyJS.addtraces!(syncplot, gt)
end
# ---------------------------------------------------------------------------
function _add_annotations{X,Y,V}(plt::Plot{PlotlyJSPackage}, anns::AVec{@compat(Tuple{X,Y,V})})
# set or add to the annotation_list
if haskey(plt.plotargs, :annotation_list)
append!(plt.plotargs[:annotation_list], anns)
else
plt.plotargs[:annotation_list] = anns
end
function _series_updated(plt::Plot{PlotlyJSBackend}, series::Series)
xsym, ysym = (ispolar(series) ? (:t,:r) : (:x,:y))
PlotlyJS.restyle!(
plt.o,
findfirst(plt.series_list, series),
KW(xsym => (series.d[:x],), ysym => (series.d[:y],))
)
end
# ----------------------------------------------------------------
function _before_update_plot(plt::Plot{PlotlyJSPackage})
function _update_plot_object(plt::Plot{PlotlyJSBackend})
pdict = plotly_layout(plt)
syncplot = plt.o
w,h = plt[:size]
PlotlyJS.relayout!(syncplot, pdict, width = w, height = h)
end
# TODO: override this to update plot items (title, xlabel, etc) after creation
function _update_plot(plt::Plot{PlotlyJSPackage}, d::Dict)
pdict = plotly_layout(d)
plt.o.layout = PlotlyJS.Layout(pdict)
if PlotlyJS.isactive(plt.o._display)
PlotlyJS.relayout!(plt.o; pdict...)
end
end
function _update_plot_pos_size(plt::PlottingObject{PlotlyJSPackage}, d::Dict)
end
# ----------------------------------------------------------------
# accessors for x/y data
function Base.getindex(plt::Plot{PlotlyJSPackage}, i::Int)
d = plt.seriesargs[i]
d[:x], d[:y]
function _writemime(io::IO, ::MIME"image/svg+xml", plt::Plot{PlotlyJSBackend})
writemime(io, MIME("text/html"), plt.o)
end
function Base.setindex!(plt::Plot{PlotlyJSPackage}, xy::Tuple, i::Integer)
d = plt.seriesargs[i]
d[:x], d[:y] = xy
plt
function _writemime(io::IO, ::MIME"image/png", plt::Plot{PlotlyJSBackend})
tmpfn = tempname() * ".png"
PlotlyJS.savefig(plt.o, tmpfn)
write(io, read(open(tmpfn)))
end
# ----------------------------------------------------------------
function _create_subplot(subplt::Subplot{PlotlyJSPackage}, isbefore::Bool)
# TODO: build the underlying Subplot object. this is where you might layout the panes within a GUI window, for example
true
end
function _expand_limits(lims, plt::Plot{PlotlyJSPackage}, isx::Bool)
# TODO: call expand limits for each plot data
end
function _remove_axis(plt::Plot{PlotlyJSPackage}, isx::Bool)
# TODO: if plot is inner subplot, might need to remove ticks or axis labels
end
# ----------------------------------------------------------------
function Base.display(::PlotsDisplay, plt::Plot{PlotlyJSPackage})
dump(plt.o)
function _display(plt::Plot{PlotlyJSBackend})
display(plt.o)
end
function Base.display(::PlotsDisplay, plt::Subplot{PlotlyJSPackage})
error()
end
+1172 -685
View File
File diff suppressed because it is too large Load Diff
+112 -83
View File
@@ -1,8 +1,37 @@
# https://github.com/tbreloff/Qwt.jl
function _initialize_backend(::QwtPackage; kw...)
supported_args(::QwtBackend) = merge_with_base_supported([
:annotations,
:linecolor,
:fillrange,
:fillcolor,
:label,
:legend,
:seriescolor, :seriesalpha,
:linestyle,
:linewidth,
:markershape,
:markercolor,
:markersize,
:bins,
:pos,
:title,
:window_title,
:guide, :lims, :ticks, :scale,
])
supported_types(::QwtBackend) = [:path, :scatter, :hexbin, :bar]
supported_markers(::QwtBackend) = [:none, :auto, :rect, :circle, :diamond, :utriangle, :dtriangle, :cross, :xcross, :star5, :star8, :hexagon]
supported_scales(::QwtBackend) = [:identity, :log10]
is_subplot_supported(::QwtBackend) = true
# --------------------------------------------------------------------------------------
function _initialize_backend(::QwtBackend; kw...)
@eval begin
warn("Qwt is no longer supported... many features will likely be broken.")
import Qwt
export Qwt
end
@@ -10,8 +39,8 @@ end
# -------------------------------
@compat const _qwtAliases = Dict(
:nbins => :heatmap_n,
@compat const _qwtAliases = KW(
:bins => :heatmap_n,
:fillrange => :fillto,
:linewidth => :width,
:markershape => :marker,
@@ -23,7 +52,7 @@ end
:star8 => :star2,
)
function fixcolors(d::Dict)
function fixcolors(d::KW)
for (k,v) in d
if typeof(v) <: ColorScheme
d[k] = getColor(v)
@@ -37,31 +66,31 @@ function replaceQwtAliases(d, s)
end
end
function adjustQwtKeywords(plt::Plot{QwtPackage}, iscreating::Bool; kw...)
d = Dict(kw)
lt = d[:linetype]
if lt == :scatter
d[:linetype] = :none
function adjustQwtKeywords(plt::Plot{QwtBackend}, iscreating::Bool; kw...)
d = KW(kw)
st = d[:seriestype]
if st == :scatter
d[:seriestype] = :none
if d[:markershape] == :none
d[:markershape] = :ellipse
d[:markershape] = :circle
end
elseif lt in (:hline, :vline)
elseif st in (:hline, :vline)
addLineMarker(plt, d)
d[:linetype] = :none
d[:markershape] = :ellipse
d[:seriestype] = :none
d[:markershape] = :circle
d[:markersize] = 1
if lt == :vline
if st == :vline
d[:x], d[:y] = d[:y], d[:x]
end
elseif !iscreating && lt == :bar
elseif !iscreating && st == :bar
d = barHack(; kw...)
elseif !iscreating && lt == :hist
elseif !iscreating && st == :histogram
d = barHack(; histogramHack(; kw...)...)
end
replaceQwtAliases(d, :linetype)
replaceQwtAliases(d, :seriestype)
replaceQwtAliases(d, :markershape)
for k in keys(d)
@@ -72,37 +101,38 @@ function adjustQwtKeywords(plt::Plot{QwtPackage}, iscreating::Bool; kw...)
d[:x] = collect(d[:x])
d[:y] = collect(d[:y])
d
end
function _create_plot(pkg::QwtPackage; kw...)
d = Dict(kw)
fixcolors(d)
dumpdict(d,"\n\n!!! plot")
o = Qwt.plot(zeros(0,0); d..., show=false)
plt = Plot(o, pkg, 0, d, Dict[])
plt
# function _create_plot(pkg::QwtBackend, d::KW)
function _create_backend_figure(plt::Plot{QwtBackend})
fixcolors(plt.attr)
dumpdict(plt.attr,"\n\n!!! plot")
o = Qwt.plot(zeros(0,0); plt.attr..., show=false)
# plt = Plot(o, pkg, 0, d, KW[])
# plt
end
function _add_series(::QwtPackage, plt::Plot; kw...)
d = adjustQwtKeywords(plt, false; kw...)
# function _series_added(::QwtBackend, plt::Plot, d::KW)
function _series_added(plt::Plot{QwtBackend}, series::Series)
d = adjustQwtKeywords(plt, false; series.d...)
fixcolors(d)
dumpdict(d,"\n\n!!! plot!")
Qwt.oplot(plt.o; d...)
push!(plt.seriesargs, d)
plt
# push!(plt.seriesargs, d)
# plt
end
# ----------------------------------------------------------------
function updateLimsAndTicks(plt::Plot{QwtPackage}, d::Dict, isx::Bool)
function updateLimsAndTicks(plt::Plot{QwtBackend}, d::KW, isx::Bool)
lims = get(d, isx ? :xlims : :ylims, nothing)
ticks = get(d, isx ? :xticks : :yticks, nothing)
w = plt.o.widget
axisid = Qwt.QWT.QwtPlot[isx ? :xBottom : :yLeft]
axisid = Qwt.QWT.QwtPlot[isx ? :xBottom : :yLeft]
if typeof(lims) <: @compat(Union{Tuple,AVec}) && length(lims) == 2
if isx
plt.o.autoscale_x = false
@@ -131,21 +161,21 @@ function updateLimsAndTicks(plt::Plot{QwtPackage}, d::Dict, isx::Bool)
# scaletype == :log && w[:setAxisScaleEngine](axisid, Qwt.QWT.QwtLogScaleEngine(e))
# scaletype == :log2 && w[:setAxisScaleEngine](axisid, Qwt.QWT.QwtLogScaleEngine(2))
scaletype == :log10 && w[:setAxisScaleEngine](axisid, Qwt.QWT.QwtLog10ScaleEngine())
scaletype in supportedScales() || warn("Unsupported scale type: ", scaletype)
scaletype in supported_scales() || warn("Unsupported scale type: ", scaletype)
end
end
function _update_plot(plt::Plot{QwtPackage}, d::Dict)
function _update_plot_object(plt::Plot{QwtBackend}, d::KW)
haskey(d, :title) && Qwt.title(plt.o, d[:title])
haskey(d, :xlabel) && Qwt.xlabel(plt.o, d[:xlabel])
haskey(d, :ylabel) && Qwt.ylabel(plt.o, d[:ylabel])
haskey(d, :xguide) && Qwt.xlabel(plt.o, d[:xguide])
haskey(d, :yguide) && Qwt.ylabel(plt.o, d[:yguide])
updateLimsAndTicks(plt, d, true)
updateLimsAndTicks(plt, d, false)
end
function _update_plot_pos_size(plt::PlottingObject{QwtPackage}, d::Dict)
function _update_plot_pos_size(plt::AbstractPlot{QwtBackend}, d::KW)
haskey(d, :size) && Qwt.resizewidget(plt.o, d[:size]...)
haskey(d, :pos) && Qwt.movewidget(plt.o, d[:pos]...)
end
@@ -154,10 +184,10 @@ end
# ----------------------------------------------------------------
# curve.setPen(Qt.QPen(Qt.QColor(color), linewidth, self.getLineStyle(linestyle)))
function addLineMarker(plt::Plot{QwtPackage}, d::Dict)
function addLineMarker(plt::Plot{QwtBackend}, d::KW)
for yi in d[:y]
marker = Qwt.QWT.QwtPlotMarker()
ishorizontal = (d[:linetype] == :hline)
ishorizontal = (d[:seriestype] == :hline)
marker[:setLineStyle](ishorizontal ? 1 : 2)
marker[ishorizontal ? :setYValue : :setXValue](yi)
qcolor = Qwt.convertRGBToQColor(getColor(d[:linecolor]))
@@ -188,7 +218,7 @@ function createQwtAnnotation(plt::Plot, x, y, val::@compat(AbstractString))
marker[:attach](plt.o.widget)
end
function _add_annotations{X,Y,V}(plt::Plot{QwtPackage}, anns::AVec{@compat(Tuple{X,Y,V})})
function _add_annotations{X,Y,V}(plt::Plot{QwtBackend}, anns::AVec{@compat(Tuple{X,Y,V})})
for ann in anns
createQwtAnnotation(plt, ann...)
end
@@ -198,12 +228,12 @@ end
# accessors for x/y data
function Base.getindex(plt::Plot{QwtPackage}, i::Int)
function getxy(plt::Plot{QwtBackend}, i::Int)
series = plt.o.lines[i]
series.x, series.y
end
function Base.setindex!(plt::Plot{QwtPackage}, xy::Tuple, i::Integer)
function setxy!{X,Y}(plt::Plot{QwtBackend}, xy::Tuple{X,Y}, i::Integer)
series = plt.o.lines[i]
series.x, series.y = xy
plt
@@ -212,70 +242,69 @@ end
# -------------------------------
# savepng(::QwtPackage, plt::PlottingObject, fn::@compat(AbstractString), args...) = Qwt.savepng(plt.o, fn)
# savepng(::QwtBackend, plt::AbstractPlot, fn::@compat(AbstractString), args...) = Qwt.savepng(plt.o, fn)
# -------------------------------
# create the underlying object (each backend will do this differently)
function _create_subplot(subplt::Subplot{QwtPackage}, isbefore::Bool)
isbefore && return false
i = 0
rows = Any[]
row = Any[]
for (i,(r,c)) in enumerate(subplt.layout)
push!(row, subplt.plts[i].o)
if c == ncols(subplt.layout, r)
push!(rows, Qwt.hsplitter(row...))
row = Any[]
end
end
# for rowcnt in subplt.layout.rowcounts
# push!(rows, Qwt.hsplitter([plt.o for plt in subplt.plts[(1:rowcnt) + i]]...))
# i += rowcnt
# end
subplt.o = Qwt.vsplitter(rows...)
# Qwt.resizewidget(subplt.o, getplotargs(subplt,1)[:size]...)
# Qwt.moveToLastScreen(subplt.o) # hack so it goes to my center monitor... sorry
true
end
# # create the underlying object (each backend will do this differently)
# function _create_subplot(subplt::Subplot{QwtBackend}, isbefore::Bool)
# isbefore && return false
# i = 0
# rows = Any[]
# row = Any[]
# for (i,(r,c)) in enumerate(subplt.layout)
# push!(row, subplt.plts[i].o)
# if c == ncols(subplt.layout, r)
# push!(rows, Qwt.hsplitter(row...))
# row = Any[]
# end
# end
# # for rowcnt in subplt.layout.rowcounts
# # push!(rows, Qwt.hsplitter([plt.o for plt in subplt.plts[(1:rowcnt) + i]]...))
# # i += rowcnt
# # end
# subplt.o = Qwt.vsplitter(rows...)
# # Qwt.resizewidget(subplt.o, getattr(subplt,1)[:size]...)
# # Qwt.moveToLastScreen(subplt.o) # hack so it goes to my center monitor... sorry
# true
# end
function _expand_limits(lims, plt::Plot{QwtPackage}, isx::Bool)
function _expand_limits(lims, plt::Plot{QwtBackend}, isx::Bool)
for series in plt.o.lines
_expand_limits(lims, isx ? series.x : series.y)
end
end
function _remove_axis(plt::Plot{QwtPackage}, isx::Bool)
function _remove_axis(plt::Plot{QwtBackend}, isx::Bool)
end
# ----------------------------------------------------------------
function Base.writemime(io::IO, ::MIME"image/png", plt::Plot{QwtPackage})
function Base.writemime(io::IO, ::MIME"image/png", plt::Plot{QwtBackend})
Qwt.refresh(plt.o)
Qwt.savepng(plt.o, "/tmp/dfskjdhfkh.png")
write(io, readall("/tmp/dfskjdhfkh.png"))
end
function Base.writemime(io::IO, ::MIME"image/png", subplt::Subplot{QwtPackage})
for plt in subplt.plts
Qwt.refresh(plt.o)
end
Qwt.savepng(subplt.o, "/tmp/dfskjdhfkh.png")
write(io, readall("/tmp/dfskjdhfkh.png"))
end
# function Base.writemime(io::IO, ::MIME"image/png", subplt::Subplot{QwtBackend})
# for plt in subplt.plts
# Qwt.refresh(plt.o)
# end
# Qwt.savepng(subplt.o, "/tmp/dfskjdhfkh.png")
# write(io, readall("/tmp/dfskjdhfkh.png"))
# end
function Base.display(::PlotsDisplay, plt::Plot{QwtPackage})
function Base.display(::PlotsDisplay, plt::Plot{QwtBackend})
Qwt.refresh(plt.o)
Qwt.showwidget(plt.o)
end
function Base.display(::PlotsDisplay, subplt::Subplot{QwtPackage})
for plt in subplt.plts
Qwt.refresh(plt.o)
end
Qwt.showwidget(subplt.o)
end
# function Base.display(::PlotsDisplay, subplt::Subplot{QwtBackend})
# for plt in subplt.plts
# Qwt.refresh(plt.o)
# end
# Qwt.showwidget(subplt.o)
# end
-769
View File
@@ -1,769 +0,0 @@
supportedAxes(::PlottingPackage) = [:left]
supportedTypes(::PlottingPackage) = []
supportedStyles(::PlottingPackage) = [:solid]
supportedMarkers(::PlottingPackage) = [:none]
supportedScales(::PlottingPackage) = [:identity]
subplotSupported(::PlottingPackage) = false
stringsSupported(::PlottingPackage) = false
supportedAxes() = supportedAxes(backend())
supportedTypes() = supportedTypes(backend())
supportedStyles() = supportedStyles(backend())
supportedMarkers() = supportedMarkers(backend())
supportedScales() = supportedScales(backend())
subplotSupported() = subplotSupported(backend())
stringsSupported() = stringsSupported(backend())
# --------------------------------------------------------------------------------------
supportedArgs(::GadflyPackage) = [
:annotation,
# :axis,
:background_color,
:linecolor,
:color_palette,
:fillrange,
:fillcolor,
:fillalpha,
:foreground_color,
:group,
:label,
:layout,
:legend,
:colorbar,
:linestyle,
:linetype,
:linewidth,
:linealpha,
:markershape,
:markercolor,
:markersize,
:markeralpha,
:markerstrokewidth,
:markerstrokecolor,
# :markerstrokestyle,
:n,
:nbins,
:nc,
:nr,
# :pos,
:smooth,
:show,
:size,
:title,
:windowtitle,
:x,
:xlabel,
:xlims,
:xticks,
:y,
:ylabel,
:ylims,
# :yrightlabel,
:yticks,
:xscale,
:yscale,
:xflip,
:yflip,
:z,
:zcolor,
:tickfont,
:guidefont,
:legendfont,
:grid,
# :surface,
:levels,
]
supportedAxes(::GadflyPackage) = [:auto, :left]
supportedTypes(::GadflyPackage) = [:none, :line, :path, :steppre, :steppost, :sticks,
:scatter, :heatmap, :hexbin, :hist, :bar,
:hline, :vline, :contour]
supportedStyles(::GadflyPackage) = [:auto, :solid, :dash, :dot, :dashdot, :dashdotdot]
supportedMarkers(::GadflyPackage) = vcat(_allMarkers, Shape)
supportedScales(::GadflyPackage) = [:identity, :ln, :log2, :log10, :asinh, :sqrt]
subplotSupported(::GadflyPackage) = true
# --------------------------------------------------------------------------------------
supportedArgs(::ImmersePackage) = supportedArgs(GadflyPackage())
supportedAxes(::ImmersePackage) = supportedAxes(GadflyPackage())
supportedTypes(::ImmersePackage) = supportedTypes(GadflyPackage())
supportedStyles(::ImmersePackage) = supportedStyles(GadflyPackage())
supportedMarkers(::ImmersePackage) = supportedMarkers(GadflyPackage())
supportedScales(::ImmersePackage) = supportedScales(GadflyPackage())
subplotSupported(::ImmersePackage) = true
# --------------------------------------------------------------------------------------
supportedArgs(::PyPlotPackage) = [
:annotation,
:axis,
:background_color,
:linecolor,
:color_palette,
:fillrange,
:fillcolor,
:foreground_color,
:group,
:label,
:layout,
:legend,
:colorbar,
:linestyle,
:linetype,
:linewidth,
:markershape,
:markercolor,
:markersize,
:markerstrokewidth,
:markerstrokecolor,
# :markerstrokestyle,
:n,
:nbins,
:nc,
:nr,
# :pos,
:smooth,
# :ribbon,
:show,
:size,
:title,
:windowtitle,
:x,
:xlabel,
:xlims,
:xticks,
:y,
:ylabel,
:ylims,
:yrightlabel,
:yticks,
:xscale,
:yscale,
:xflip,
:yflip,
:z,
:zcolor, # only supported for scatter/scatter3d
:tickfont,
:guidefont,
:legendfont,
:grid,
# :surface,
:levels,
:fillalpha,
:linealpha,
:markeralpha,
]
supportedAxes(::PyPlotPackage) = _allAxes
supportedTypes(::PyPlotPackage) = [:none, :line, :path, :steppre, :steppost, #:sticks,
:scatter, :heatmap, :hexbin, :hist, :density, :bar,
:hline, :vline, :contour, :path3d, :scatter3d, :surface, :wireframe]
supportedStyles(::PyPlotPackage) = [:auto, :solid, :dash, :dot, :dashdot]
# supportedMarkers(::PyPlotPackage) = [:none, :auto, :rect, :ellipse, :diamond, :utriangle, :dtriangle, :cross, :xcross, :star5, :hexagon]
supportedMarkers(::PyPlotPackage) = vcat(_allMarkers, Shape)
supportedScales(::PyPlotPackage) = [:identity, :ln, :log2, :log10]
subplotSupported(::PyPlotPackage) = true
# --------------------------------------------------------------------------------------
supportedArgs(::GRPackage) = [
:annotation,
:axis,
:background_color,
:linecolor,
:color_palette,
:fillrange,
:fillcolor,
:foreground_color,
:group,
:label,
:layout,
:legend,
:linestyle,
:linetype,
:linewidth,
:markershape,
:markercolor,
:markersize,
:markerstrokewidth,
:markerstrokecolor,
# :markerstrokestyle,
:n,
:nbins,
:nc,
:nr,
# :pos,
:smooth,
# :ribbon,
:show,
:size,
:title,
:windowtitle,
:x,
:xlabel,
:xlims,
:xticks,
:y,
:ylabel,
:ylims,
:yrightlabel,
:yticks,
:xscale,
:yscale,
:xflip,
:yflip,
:z,
:zcolor, # only supported for scatter/scatter3d
:tickfont,
:guidefont,
:legendfont,
:grid,
# :surface,
:nlevels,
:fillalpha,
:linealpha,
:markeralpha,
]
supportedAxes(::GRPackage) = _allAxes
supportedTypes(::GRPackage) = [:none, :line, :path, :steppre, :steppost, :sticks,
:scatter, :heatmap, :hexbin, :hist, :density, :bar,
:hline, :vline, :contour, :path3d, :scatter3d, :surface,
:wireframe, :ohlc, :pie]
supportedStyles(::GRPackage) = [:auto, :solid, :dash, :dot, :dashdot]
supportedMarkers(::GRPackage) = vcat([:none, :ellipse, :rect, :diamond, :utriangle, :dtriangle, :pentagon, :hexagon, :cross, :xcross, :star5], Shape)
supportedScales(::GRPackage) = [:identity, :log10]
subplotSupported(::GRPackage) = true
# --------------------------------------------------------------------------------------
supportedArgs(::QwtPackage) = [
:annotation,
# :args,
:axis,
:background_color,
:linecolor,
:color_palette,
:fillrange,
:fillcolor,
:foreground_color,
:group,
# :heatmap_c,
# :kwargs,
:label,
:layout,
:legend,
:linestyle,
:linetype,
:linewidth,
:markershape,
:markercolor,
:markersize,
# :markerstrokewidth,
# :markerstrokecolor,
# :markerstrokestyle,
:n,
:nbins,
:nc,
:nr,
:pos,
:smooth,
# :ribbon,
:show,
:size,
:title,
:windowtitle,
:x,
:xlabel,
:xlims,
:xticks,
:y,
:ylabel,
:ylims,
:yrightlabel,
:yticks,
:xscale,
:yscale,
# :xflip,
# :yflip,
# :z,
]
supportedTypes(::QwtPackage) = [:none, :line, :path, :steppre, :steppost, :sticks, :scatter, :heatmap, :hexbin, :hist, :bar, :hline, :vline]
supportedMarkers(::QwtPackage) = [:none, :auto, :rect, :ellipse, :diamond, :utriangle, :dtriangle, :cross, :xcross, :star5, :star8, :hexagon]
supportedScales(::QwtPackage) = [:identity, :log10]
subplotSupported(::QwtPackage) = true
# --------------------------------------------------------------------------------------
supportedArgs(::UnicodePlotsPackage) = [
# :annotation,
# :args,
# :axis,
# :background_color,
# :linecolor,
# :fill,
# :foreground_color,
:group,
# :heatmap_c,
# :kwargs,
:label,
# :layout,
:legend,
:linestyle,
:linetype,
# :linewidth,
:markershape,
# :markercolor,
# :markersize,
# :markerstrokewidth,
# :markerstrokecolor,
# :markerstrokestyle,
# :n,
:nbins,
# :nc,
# :nr,
# :pos,
# :reg,
# :ribbon,
:show,
:size,
:title,
:windowtitle,
:x,
:xlabel,
:xlims,
# :xticks,
:y,
:ylabel,
:ylims,
# :yrightlabel,
# :yticks,
# :xscale,
# :yscale,
# :xflip,
# :yflip,
# :z,
]
supportedAxes(::UnicodePlotsPackage) = [:auto, :left]
supportedTypes(::UnicodePlotsPackage) = [:none, :line, :path, :steppost, :sticks, :scatter, :heatmap, :hexbin, :hist, :bar, :hline, :vline]
supportedStyles(::UnicodePlotsPackage) = [:auto, :solid]
supportedMarkers(::UnicodePlotsPackage) = [:none, :auto, :ellipse]
supportedScales(::UnicodePlotsPackage) = [:identity]
subplotSupported(::UnicodePlotsPackage) = true
# --------------------------------------------------------------------------------------
supportedArgs(::WinstonPackage) = [
:annotation,
# :args,
# :axis,
# :background_color,
:linecolor,
:color_palette,
:fillrange,
:fillcolor,
# :foreground_color,
:group,
# :heatmap_c,
# :kwargs,
:label,
# :layout,
:legend,
:linestyle,
:linetype,
:linewidth,
:markershape,
:markercolor,
:markersize,
# :markerstrokewidth,
# :markerstrokecolor,
# :markerstrokestyle,
# :n,
:nbins,
# :nc,
# :nr,
# :pos,
:smooth,
# :ribbon,
:show,
:size,
:title,
:windowtitle,
:x,
:xlabel,
:xlims,
# :xticks,
:y,
:ylabel,
:ylims,
# :yrightlabel,
# :yticks,
:xscale,
:yscale,
# :xflip,
# :yflip,
# :z,
]
supportedAxes(::WinstonPackage) = [:auto, :left]
supportedTypes(::WinstonPackage) = [:none, :line, :path, :sticks, :scatter, :hist, :bar]
supportedStyles(::WinstonPackage) = [:auto, :solid, :dash, :dot, :dashdot]
supportedMarkers(::WinstonPackage) = [:none, :auto, :rect, :ellipse, :diamond, :utriangle, :dtriangle, :cross, :xcross, :star5]
supportedScales(::WinstonPackage) = [:identity, :log10]
subplotSupported(::WinstonPackage) = false
# --------------------------------------------------------------------------------------
supportedArgs(::BokehPackage) = [
# :annotation,
# :axis,
# :background_color,
:linecolor,
# :color_palette,
# :fillrange,
# :fillcolor,
# :fillalpha,
# :foreground_color,
:group,
# :label,
# :layout,
# :legend,
:linestyle,
:linetype,
:linewidth,
# :linealpha,
:markershape,
:markercolor,
:markersize,
# :markeralpha,
# :markerstrokewidth,
# :markerstrokecolor,
# :markerstrokestyle,
# :n,
# :nbins,
# :nc,
# :nr,
# :pos,
# :smooth,
# :show,
:size,
:title,
# :windowtitle,
:x,
# :xlabel,
# :xlims,
# :xticks,
:y,
# :ylabel,
# :ylims,
# :yrightlabel,
# :yticks,
# :xscale,
# :yscale,
# :xflip,
# :yflip,
# :z,
# :tickfont,
# :guidefont,
# :legendfont,
# :grid,
# :surface,
# :levels,
]
supportedAxes(::BokehPackage) = [:auto, :left]
supportedTypes(::BokehPackage) = [:none, :path, :scatter] #,:steppre, :steppost, :sticks, :heatmap, :hexbin, :hist, :bar, :hline, :vline, :contour]
supportedStyles(::BokehPackage) = [:auto, :solid, :dash, :dot, :dashdot, :dashdotdot]
supportedMarkers(::BokehPackage) = [:none, :auto, :ellipse, :rect, :diamond, :utriangle, :dtriangle, :cross, :xcross, :star5] #vcat(_allMarkers, Shape)
supportedScales(::BokehPackage) = [:identity, :ln] #, :ln, :log2, :log10, :asinh, :sqrt]
subplotSupported(::BokehPackage) = false
# --------------------------------------------------------------------------------------
supportedArgs(::PlotlyPackage) = [
:annotation,
# :axis,
:background_color,
:color_palette,
:fillrange,
:fillcolor,
:fillalpha,
:foreground_color,
:group,
:label,
:layout,
:legend,
:linecolor,
:linestyle,
:linetype,
:linewidth,
:linealpha,
:markershape,
:markercolor,
:markersize,
:markeralpha,
:markerstrokewidth,
:markerstrokecolor,
:markerstrokestyle,
:n,
:nbins,
:nc,
:nr,
# :pos,
# :smooth,
:show,
:size,
:title,
:windowtitle,
:x,
:xlabel,
:xlims,
:xticks,
:y,
:ylabel,
:ylims,
# :yrightlabel,
:yticks,
:xscale,
:yscale,
:xflip,
:yflip,
:z,
:zcolor,
:tickfont,
:guidefont,
:legendfont,
:grid,
:levels,
]
supportedAxes(::PlotlyPackage) = [:auto, :left]
supportedTypes(::PlotlyPackage) = [:none, :line, :path, :scatter, :steppre, :steppost,
:heatmap, :hist, :density, :bar, :contour, :surface, :path3d, :scatter3d,
:pie] #,, :sticks, :hexbin, :hline, :vline]
supportedStyles(::PlotlyPackage) = [:auto, :solid, :dash, :dot, :dashdot]
supportedMarkers(::PlotlyPackage) = [:none, :auto, :ellipse, :rect, :diamond, :utriangle, :dtriangle, :cross, :xcross,
:pentagon, :hexagon, :octagon, :vline, :hline] #vcat(_allMarkers, Shape)
supportedScales(::PlotlyPackage) = [:identity, :log10] #, :ln, :log2, :log10, :asinh, :sqrt]
subplotSupported(::PlotlyPackage) = true
stringsSupported(::PlotlyPackage) = true
# --------------------------------------------------------------------------------------
supportedArgs(::PlotlyJSPackage) = [
:annotation,
# :axis,
:background_color,
:color_palette,
:fillrange,
:fillcolor,
:fillalpha,
:foreground_color,
:group,
:label,
:layout,
:legend,
:linecolor,
:linestyle,
:linetype,
:linewidth,
:linealpha,
:markershape,
:markercolor,
:markersize,
:markeralpha,
:markerstrokewidth,
:markerstrokecolor,
:markerstrokestyle,
:n,
:nbins,
:nc,
:nr,
# :pos,
# :smooth,
:show,
:size,
:title,
:windowtitle,
:x,
:xlabel,
:xlims,
:xticks,
:y,
:ylabel,
:ylims,
# :yrightlabel,
:yticks,
:xscale,
:yscale,
:xflip,
:yflip,
:z,
:zcolor,
:tickfont,
:guidefont,
:legendfont,
:grid,
:levels,
]
supportedAxes(::PlotlyJSPackage) = [:auto, :left]
supportedTypes(::PlotlyJSPackage) = [:none, :line, :path, :scatter, :steppre, :steppost,
:heatmap, :hist, :density, :bar, :contour, :surface, :path3d, :scatter3d,
:pie] #,, :sticks, :hexbin, :hline, :vline]
supportedStyles(::PlotlyJSPackage) = [:auto, :solid, :dash, :dot, :dashdot]
supportedMarkers(::PlotlyJSPackage) = [:none, :auto, :ellipse, :rect, :diamond, :utriangle, :dtriangle, :cross, :xcross,
:pentagon, :hexagon, :octagon, :vline, :hline] #vcat(_allMarkers, Shape)
supportedScales(::PlotlyJSPackage) = [:identity, :log10] #, :ln, :log2, :log10, :asinh, :sqrt]
subplotSupported(::PlotlyJSPackage) = true
stringsSupported(::PlotlyJSPackage) = true
# --------------------------------------------------------------------------------------
supportedArgs(::GLVisualizePackage) = [
# :annotation,
# :axis,
# :background_color,
# :color_palette,
# :fillrange,
# :fillcolor,
# :fillalpha,
# :foreground_color,
# :group,
# :label,
# :layout,
# :legend,
# :linecolor,
# :linestyle,
# :linetype,
# :linewidth,
# :linealpha,
# :markershape,
# :markercolor,
# :markersize,
# :markeralpha,
# :markerstrokewidth,
# :markerstrokecolor,
# :markerstrokestyle,
# :n,
# :nbins,
# :nc,
# :nr,
# :pos,
# :smooth,
# :show,
# :size,
# :title,
# :windowtitle,
# :x,
# :xlabel,
# :xlims,
# :xticks,
# :y,
# :ylabel,
# :ylims,
# :yrightlabel,
# :yticks,
# :xscale,
# :yscale,
# :xflip,
# :yflip,
# :z,
# :tickfont,
# :guidefont,
# :legendfont,
# :grid,
# :surface
# :levels,
]
supportedAxes(::GLVisualizePackage) = [:auto, :left]
supportedTypes(::GLVisualizePackage) = [:contour] #, :path, :scatter ,:steppre, :steppost, :sticks, :heatmap, :hexbin, :hist, :bar, :hline, :vline, :contour]
supportedStyles(::GLVisualizePackage) = [:auto, :solid] #, :dash, :dot, :dashdot, :dashdotdot]
supportedMarkers(::GLVisualizePackage) = [:none, :auto, :ellipse] #, :rect, :diamond, :utriangle, :dtriangle, :cross, :xcross, :star5] #vcat(_allMarkers, Shape)
supportedScales(::GLVisualizePackage) = [:identity] #, :log, :log2, :log10, :asinh, :sqrt]
subplotSupported(::GLVisualizePackage) = false
# --------------------------------------------------------------------------------------
supportedArgs(::PGFPlotsPackage) = [
# :annotation,
# :axis,
# :background_color,
# :color_palette,
# :fillrange,
# :fillcolor,
# :fillalpha,
# :foreground_color,
# :group,
# :label,
# :layout,
# :legend,
# :linecolor,
# :linestyle,
# :linetype,
# :linewidth,
# :linealpha,
# :markershape,
# :markercolor,
# :markersize,
# :markeralpha,
# :markerstrokewidth,
# :markerstrokecolor,
# :markerstrokestyle,
# :n,
# :nbins,
# :nc,
# :nr,
# :pos,
# :smooth,
# :show,
# :size,
# :title,
# :windowtitle,
# :x,
# :xlabel,
# :xlims,
# :xticks,
# :y,
# :ylabel,
# :ylims,
# :yrightlabel,
# :yticks,
# :xscale,
# :yscale,
# :xflip,
# :yflip,
# :z,
# :tickfont,
# :guidefont,
# :legendfont,
# :grid,
# :surface
# :levels,
]
supportedAxes(::PGFPlotsPackage) = [:auto, :left]
supportedTypes(::PGFPlotsPackage) = [:contour] #, :path, :scatter ,:steppre, :steppost, :sticks, :heatmap, :hexbin, :hist, :bar, :hline, :vline, :contour]
supportedStyles(::PGFPlotsPackage) = [:auto, :solid] #, :dash, :dot, :dashdot, :dashdotdot]
supportedMarkers(::PGFPlotsPackage) = [:none, :auto, :ellipse] #, :rect, :diamond, :utriangle, :dtriangle, :cross, :xcross, :star5] #vcat(_allMarkers, Shape)
supportedScales(::PGFPlotsPackage) = [:identity] #, :log, :log2, :log10, :asinh, :sqrt]
subplotSupported(::PGFPlotsPackage) = false
+57 -71
View File
@@ -1,89 +1,75 @@
# TODO: find/replace all [PkgName] with CamelCase, all [pkgname] with lowercase
# TODO: find/replace all [PkgName] with CamelCase
# [WEBSITE]
# [ADD BACKEND WEBSITE]
function _initialize_backend(::[PkgName]Package; kw...)
@eval begin
import [PkgName]
export [PkgName]
# TODO: other initialization that needs to be eval-ed
end
# TODO: other initialization
function _initialize_backend(::[PkgName]Backend; kw...)
@eval begin
import [PkgName]
export [PkgName]
# todo: other initialization that needs to be eval-ed
end
# todo: other initialization
end
# ---------------------------------------------------------------------------
function _create_plot(pkg::[PkgName]Package; kw...)
d = Dict(kw)
# TODO: create the window/canvas/context that is the plot within the backend (call it `o`)
# TODO: initialize the plot... title, xlabel, bgcolor, etc
Plot(nothing, pkg, 0, d, Dict[])
# Create the window/figure for this backend.
function _create_backend_figure(plt::Plot{[PkgName]Backend})
nothing
end
# # this is called early in the pipeline, use it to make the plot current or something
# function _prepare_plot_object(plt::Plot{[PkgName]Backend})
# end
# Set up the subplot within the backend object.
function _initialize_subplot(plt::Plot{[PkgName]Backend}, sp::Subplot{[PkgName]Backend})
end
# ---------------------------------------------------------------------------
# Add one series to the underlying backend object.
function _series_added(plt::Plot{[PkgName]Backend}, series::Series)
end
# When series data is added/changed, this callback can do dynamic updates to the backend object.
# note: if the backend rebuilds the plot from scratch on display, then you might not do anything here.
function _series_updated(plt::Plot{[PkgName]Backend}, series::Series)
end
# ---------------------------------------------------------------------------
# called just before updating layout bounding boxes... in case you need to prep
# for the calcs
function _before_layout_calcs(plt::Plot{[PkgName]Backend})
end
# Set the (left, top, right, bottom) minimum padding around the plot area
# to fit ticks, tick labels, guides, colorbars, etc.
function _update_min_padding!(sp::Subplot{[PkgName]Backend})
sp.minpad = (20mm, 5mm, 2mm, 10mm)
end
function _add_series(::[PkgName]Package, plt::Plot; kw...)
d = Dict(kw)
# TODO: add one series to the underlying package
push!(plt.seriesargs, d)
plt
end
# ----------------------------------------------------------------
function _add_annotations{X,Y,V}(plt::Plot{[PkgName]Package}, anns::AVec{@compat(Tuple{X,Y,V})})
for ann in anns
# TODO: add the annotation to the plot
end
# Override this to update plot items (title, xlabel, etc), and add annotations (d[:annotations])
function _update_plot_object(plt::Plot{[PkgName]Backend})
end
# ----------------------------------------------------------------
function _before_update_plot(plt::Plot{[PkgName]Package})
# Write a png to io. You could define methods for:
# "application/eps" => "eps",
# "image/eps" => "eps",
# "application/pdf" => "pdf",
# "image/png" => "png",
# "application/postscript" => "ps",
# "image/svg+xml" => "svg"
function _writemime(io::IO, ::MIME"image/png", plt::Plot{[PkgName]Backend})
end
# TODO: override this to update plot items (title, xlabel, etc) after creation
function _update_plot(plt::Plot{[PkgName]Package}, d::Dict)
end
function _update_plot_pos_size(plt::PlottingObject{[PkgName]Package}, d::Dict)
end
# ----------------------------------------------------------------
# accessors for x/y data
function Base.getindex(plt::Plot{[PkgName]Package}, i::Int)
# TODO: return a tuple of (x, y) vectors
end
function Base.setindex!(plt::Plot{[PkgName]Package}, xy::Tuple, i::Integer)
# TODO: set the plot data from the (x,y) tuple
plt
end
# ----------------------------------------------------------------
function _create_subplot(subplt::Subplot{[PkgName]Package}, isbefore::Bool)
# TODO: build the underlying Subplot object. this is where you might layout the panes within a GUI window, for example
end
function _expand_limits(lims, plt::Plot{[PkgName]Package}, isx::Bool)
# TODO: call expand limits for each plot data
end
function _remove_axis(plt::Plot{[PkgName]Package}, isx::Bool)
# TODO: if plot is inner subplot, might need to remove ticks or axis labels
end
# ----------------------------------------------------------------
function Base.writemime(io::IO, ::MIME"image/png", plt::PlottingObject{[PkgName]Package})
# TODO: write a png to io
end
function Base.display(::PlotsDisplay, plt::Plot{[PkgName]Package})
# TODO: display/show the plot
end
function Base.display(::PlotsDisplay, plt::Subplot{[PkgName]Package})
# TODO: display/show the subplot
# Display/show the plot (open a GUI window, or browser page, for example).
function _display(plt::Plot{[PkgName]Backend})
end
+120 -160
View File
@@ -1,11 +1,37 @@
# https://github.com/Evizero/UnicodePlots.jl
function _initialize_backend(::UnicodePlotsPackage; kw...)
@eval begin
import UnicodePlots
export UnicodePlots
end
supported_args(::UnicodePlotsBackend) = merge_with_base_supported([
:label,
:legend,
:seriescolor,
:seriesalpha,
:linestyle,
:markershape,
:bins,
:title,
:guide, :lims,
])
supported_types(::UnicodePlotsBackend) = [
:path, :scatter,
:histogram2d
]
supported_styles(::UnicodePlotsBackend) = [:auto, :solid]
supported_markers(::UnicodePlotsBackend) = [:none, :auto, :circle]
supported_scales(::UnicodePlotsBackend) = [:identity]
is_subplot_supported(::UnicodePlotsBackend) = true
# don't warn on unsupported... there's just too many warnings!!
warnOnUnsupported_args(pkg::UnicodePlotsBackend, d::KW) = nothing
# --------------------------------------------------------------------------------------
function _initialize_backend(::UnicodePlotsBackend; kw...)
@eval begin
import UnicodePlots
export UnicodePlots
end
end
# -------------------------------
@@ -13,191 +39,125 @@ end
# do all the magic here... build it all at once, since we need to know about all the series at the very beginning
function rebuildUnicodePlot!(plt::Plot)
plt.o = []
# figure out the plotting area xlim = [xmin, xmax] and ylim = [ymin, ymax]
sargs = plt.seriesargs
iargs = plt.plotargs
for sp in plt.subplots
xaxis = sp[:xaxis]
yaxis = sp[:yaxis]
xlim = axis_limits(xaxis)
ylim = axis_limits(yaxis)
# get the x/y limits
if get(iargs, :xlims, :auto) == :auto
xlim = [Inf, -Inf]
for d in sargs
_expand_limits(xlim, d[:x])
# make vectors
xlim = [xlim[1], xlim[2]]
ylim = [ylim[1], ylim[2]]
# we set x/y to have a single point, since we need to create the plot with some data.
# since this point is at the bottom left corner of the plot, it shouldn't actually be shown
x = Float64[xlim[1]]
y = Float64[ylim[1]]
# create a plot window with xlim/ylim set, but the X/Y vectors are outside the bounds
width, height = plt[:size]
canvas_type = isijulia() ? UnicodePlots.AsciiCanvas : UnicodePlots.BrailleCanvas
o = UnicodePlots.Plot(x, y, canvas_type;
width = width,
height = height,
title = sp[:title],
xlim = xlim,
ylim = ylim,
border = isijulia() ? :ascii : :solid
)
# set the axis labels
UnicodePlots.xlabel!(o, xaxis[:guide])
UnicodePlots.ylabel!(o, yaxis[:guide])
# now use the ! functions to add to the plot
for series in series_list(sp)
addUnicodeSeries!(o, series.d, sp[:legend] != :none, xlim, ylim)
end
# save the object
push!(plt.o, o)
end
else
xmin, xmax = iargs[:xlims]
xlim = [xmin, xmax]
end
if get(iargs, :ylims, :auto) == :auto
ylim = [Inf, -Inf]
for d in sargs
_expand_limits(ylim, d[:y])
end
else
ymin, ymax = iargs[:ylims]
ylim = [ymin, ymax]
end
# we set x/y to have a single point, since we need to create the plot with some data.
# since this point is at the bottom left corner of the plot, it shouldn't actually be shown
x = Float64[xlim[1]]
y = Float64[ylim[1]]
# create a plot window with xlim/ylim set, but the X/Y vectors are outside the bounds
width, height = iargs[:size]
o = UnicodePlots.Plot(x, y; width = width,
height = height,
title = iargs[:title],
# labels = iargs[:legend],
xlim = xlim,
ylim = ylim)
# set the axis labels
UnicodePlots.xlabel!(o, iargs[:xlabel])
UnicodePlots.ylabel!(o, iargs[:ylabel])
# now use the ! functions to add to the plot
for d in sargs
addUnicodeSeries!(o, d, iargs[:legend] != :none, xlim, ylim)
end
# save the object
plt.o = o
end
# add a single series
function addUnicodeSeries!(o, d::Dict, addlegend::Bool, xlim, ylim)
# get the function, or special handling for step/bar/hist
lt = d[:linetype]
# handle hline/vline separately
if lt in (:hline,:vline)
for yi in d[:y]
if lt == :hline
UnicodePlots.lineplot!(o, xlim, [yi,yi])
else
UnicodePlots.lineplot!(o, [yi,yi], ylim)
end
function addUnicodeSeries!(o, d::KW, addlegend::Bool, xlim, ylim)
# get the function, or special handling for step/bar/hist
st = d[:seriestype]
if st == :histogram2d
UnicodePlots.densityplot!(o, d[:x], d[:y])
return
end
return
end
stepstyle = :post
if lt == :path
func = UnicodePlots.lineplot!
elseif lt == :scatter || d[:markershape] != :none
func = UnicodePlots.scatterplot!
elseif lt == :steppost
func = UnicodePlots.stairs!
elseif lt == :steppre
func = UnicodePlots.stairs!
stepstyle = :pre
else
error("Linestyle $lt not supported by UnicodePlots")
end
# get the series data and label
x, y = [collect(float(d[s])) for s in (:x, :y)]
label = addlegend ? d[:label] : ""
# if we happen to pass in allowed color symbols, great... otherwise let UnicodePlots decide
color = d[:linecolor] in UnicodePlots.color_cycle ? d[:linecolor] : :auto
# add the series
func(o, x, y; color = color, name = label, style = stepstyle)
end
function handlePlotColors(::UnicodePlotsPackage, d::Dict)
# TODO: something special for unicodeplots, since it doesn't take kindly to people messing with its color palette
d[:color_palette] = [RGB(0,0,0)]
end
# -------------------------------
function _create_plot(pkg::UnicodePlotsPackage; kw...)
plt = Plot(nothing, pkg, 0, Dict(kw), Dict[])
# do we want to give a new default size?
if !haskey(plt.plotargs, :size) || plt.plotargs[:size] == _plotDefaults[:size]
plt.plotargs[:size] = (60,20)
end
plt
end
function _add_series(::UnicodePlotsPackage, plt::Plot; kw...)
d = Dict(kw)
if d[:linetype] in (:sticks, :bar)
d = barHack(; d...)
elseif d[:linetype] == :hist
d = barHack(; histogramHack(; d...)...)
end
push!(plt.seriesargs, d)
plt
end
function _update_plot(plt::Plot{UnicodePlotsPackage}, d::Dict)
for k in (:title, :xlabel, :ylabel, :xlims, :ylims)
if haskey(d, k)
plt.plotargs[k] = d[k]
if st == :path
func = UnicodePlots.lineplot!
elseif st == :scatter || d[:markershape] != :none
func = UnicodePlots.scatterplot!
else
error("Linestyle $st not supported by UnicodePlots")
end
end
end
# get the series data and label
x, y = [collect(float(d[s])) for s in (:x, :y)]
label = addlegend ? d[:label] : ""
# if we happen to pass in allowed color symbols, great... otherwise let UnicodePlots decide
color = d[:linecolor] in UnicodePlots.color_cycle ? d[:linecolor] : :auto
# add the series
func(o, x, y; color = color, name = label)
end
# -------------------------------
# since this is such a hack, it's only callable using `png`... should error during normal `writemime`
function png(plt::PlottingObject{UnicodePlotsPackage}, fn::@compat(AbstractString))
fn = addExtension(fn, "png")
function png(plt::AbstractPlot{UnicodePlotsBackend}, fn::AbstractString)
fn = addExtension(fn, "png")
# make some whitespace and show the plot
println("\n\n\n\n\n\n")
gui(plt)
# make some whitespace and show the plot
println("\n\n\n\n\n\n")
gui(plt)
@osx_only begin
# BEGIN HACK
# @osx_only begin
@compat @static if is_apple()
# BEGIN HACK
# wait while the plot gets drawn
sleep(0.5)
# wait while the plot gets drawn
sleep(0.5)
# use osx screen capture when my terminal is maximized and cursor starts at the bottom (I know, right?)
# TODO: compute size of plot to adjust these numbers (or maybe implement something good??)
run(`screencapture -R50,600,700,420 $fn`)
# use osx screen capture when my terminal is maximized and cursor starts at the bottom (I know, right?)
# TODO: compute size of plot to adjust these numbers (or maybe implement something good??)
run(`screencapture -R50,600,700,420 $fn`)
# END HACK (phew)
return
end
# END HACK (phew)
return
end
error("Can only savepng on osx with UnicodePlots (though even then I wouldn't do it)")
error("Can only savepng on osx with UnicodePlots (though even then I wouldn't do it)")
end
# -------------------------------
# we don't do very much for subplots... just stack them vertically
function _create_subplot(subplt::Subplot{UnicodePlotsPackage}, isbefore::Bool)
isbefore && return false
true
end
function Base.display(::PlotsDisplay, plt::Plot{UnicodePlotsPackage})
function _update_plot_object(plt::Plot{UnicodePlotsBackend})
w, h = plt[:size]
plt.attr[:size] = div(w, 10), div(h, 20)
plt.attr[:color_palette] = [RGB(0,0,0)]
rebuildUnicodePlot!(plt)
show(plt.o)
end
function _writemime(io::IO, ::MIME"text/plain", plt::Plot{UnicodePlotsBackend})
map(show, plt.o)
nothing
end
function Base.display(::PlotsDisplay, subplt::Subplot{UnicodePlotsPackage})
for plt in subplt.plts
gui(plt)
end
function _display(plt::Plot{UnicodePlotsBackend})
map(show, plt.o)
nothing
end
+35 -7
View File
@@ -4,7 +4,7 @@
# CREDIT: parts of this implementation were inspired by @joshday's PlotlyLocal.jl
function standalone_html(plt::PlottingObject; title::AbstractString = get(plt.plotargs, :window_title, "Plots.jl"))
function standalone_html(plt::AbstractPlot; title::AbstractString = get(plt.attr, :window_title, "Plots.jl"))
"""
<!DOCTYPE html>
<html>
@@ -20,19 +20,47 @@ function standalone_html(plt::PlottingObject; title::AbstractString = get(plt.pl
end
function open_browser_window(filename::AbstractString)
@osx_only return run(`open $(filename)`)
@linux_only return run(`xdg-open $(filename)`)
@windows_only return run(`$(ENV["COMSPEC"]) /c start $(filename)`)
@compat @static if is_apple()
return run(`open $(filename)`)
end
@compat @static if is_linux()
return run(`xdg-open $(filename)`)
end
@compat @static if is_windows()
return run(`$(ENV["COMSPEC"]) /c start $(filename)`)
end
warn("Unknown OS... cannot open browser window.")
end
function standalone_html_window(plt::PlottingObject; kw...)
html = standalone_html(plt; kw...)
# println(html)
function write_temp_html(plt::AbstractPlot)
html = standalone_html(plt; title = plt.attr[:window_title])
filename = string(tempname(), ".html")
output = open(filename, "w")
write(output, html)
close(output)
filename
end
function standalone_html_window(plt::AbstractPlot)
filename = write_temp_html(plt)
open_browser_window(filename)
end
# uses wkhtmltopdf/wkhtmltoimage: http://wkhtmltopdf.org/downloads.html
function html_to_png(html_fn, png_fn, w, h)
run(`wkhtmltoimage -f png -q --width $w --height $h --disable-smart-width $html_fn $png_fn`)
end
function writemime_png_from_html(io::IO, plt::AbstractPlot)
# write html to a temporary file
html_fn = write_temp_html(plt)
# convert that html file to a temporary png file using wkhtmltoimage
png_fn = tempname() * ".png"
w, h = plt.attr[:size]
html_to_png(html_fn, png_fn, w, h)
# now read that file data into io
pngdata = readall(png_fn)
write(io, pngdata)
end
+82 -54
View File
@@ -3,9 +3,38 @@
# credit goes to https://github.com/jverzani for contributing to the first draft of this backend implementation
function _initialize_backend(::WinstonPackage; kw...)
supported_args(::WinstonBackend) = merge_with_base_supported([
:annotations,
:linecolor,
:fillrange,
:fillcolor,
:label,
:legend,
:seriescolor, :seriesalpha,
:linestyle,
:linewidth,
:markershape,
:markercolor,
:markersize,
:bins,
:title,
:window_title,
:guide, :lims, :scale,
])
supported_types(::WinstonBackend) = [:path, :scatter, :bar]
supported_styles(::WinstonBackend) = [:auto, :solid, :dash, :dot, :dashdot]
supported_markers(::WinstonBackend) = [:none, :auto, :rect, :circle, :diamond, :utriangle, :dtriangle, :cross, :xcross, :star5]
supported_scales(::WinstonBackend) = [:identity, :log10]
is_subplot_supported(::WinstonBackend) = false
# --------------------------------------------------------------------------------------
function _initialize_backend(::WinstonBackend; kw...)
@eval begin
ENV["WINSTON_OUTPUT"] = "gtk"
# ENV["WINSTON_OUTPUT"] = "gtk"
warn("Winston is no longer supported... many features will likely be broken.")
import Winston, Gtk
export Winston, Gtk
end
@@ -15,15 +44,15 @@ end
## dictionaries for conversion of Plots.jl names to Winston ones.
@compat const winston_linestyle = Dict(:solid=>"solid",
@compat const winston_linestyle = KW(:solid=>"solid",
:dash=>"dash",
:dot=>"dotted",
:dashdot=>"dotdashed"
)
@compat const winston_marker = Dict(:none=>".",
@compat const winston_marker = KW(:none=>".",
:rect => "square",
:ellipse=>"circle",
:circle=>"circle",
:diamond=>"diamond",
:utriangle=>"triangle",
:dtriangle=>"down-triangle",
@@ -32,23 +61,23 @@ end
:star5 => "asterisk"
)
function _before_add_series(plt::Plot{WinstonPackage})
function _before_update(plt::Plot{WinstonBackend})
Winston.ghf(plt.o)
end
# ---------------------------------------------------------------------------
function _create_plot(pkg::WinstonPackage; kw...)
d = Dict(kw)
wplt = Winston.FramedPlot(title = d[:title], xlabel = d[:xlabel], ylabel = d[:ylabel])
Plot(wplt, pkg, 0, d, Dict[])
function _create_backend_figure(plt::Plot{WinstonBackend})
Winston.FramedPlot(
title = plt.attr[:title],
xlabel = plt.attr[:xguide],
ylabel = plt.attr[:yguide]
)
end
copy_remove(d::Dict, s::Symbol) = delete!(copy(d), s)
copy_remove(d::KW, s::Symbol) = delete!(copy(d), s)
function addRegressionLineWinston(d::Dict, wplt)
function addRegressionLineWinston(d::KW, wplt)
xs, ys = regressionXY(d[:x], d[:y])
Winston.add(wplt, Winston.Curve(xs, ys, kind="dotted"))
end
@@ -63,18 +92,17 @@ function getWinstonItems(plt::Plot)
window, canvas, wplt
end
function _add_series(::WinstonPackage, plt::Plot; kw...)
d = Dict(kw)
function _series_added(plt::Plot{WinstonBackend}, series::Series)
d = series.d
window, canvas, wplt = getWinstonItems(plt)
# until we call it normally, do the hack
if d[:linetype] == :bar
if d[:seriestype] == :bar
d = barHack(;d...)
end
e = Dict()
e = KW()
e[:color] = getColor(d[:linecolor])
e[:linewidth] = d[:linewidth]
e[:kind] = winston_linestyle[d[:linestyle]]
@@ -87,11 +115,11 @@ function _add_series(::WinstonPackage, plt::Plot; kw...)
## lintype :path, :step, :stepinverted, :sticks, :dots, :none, :heatmap, :hexbin, :hist, :bar
if d[:linetype] == :none
## lintype :path, :step, :stepinverted, :sticks, :dots, :none, :histogram2d, :hexbin, :histogram, :bar
if d[:seriestype] == :none
Winston.add(wplt, Winston.Points(d[:x], d[:y]; copy_remove(e, :kind)..., color=getColor(d[:markercolor])))
elseif d[:linetype] == :path
elseif d[:seriestype] == :path
x, y = d[:x], d[:y]
Winston.add(wplt, Winston.Curve(x, y; e...))
@@ -105,38 +133,38 @@ function _add_series(::WinstonPackage, plt::Plot; kw...)
Winston.add(wplt, Winston.FillBetween(x, y, x, y2, fillcolor=getColor(d[:fillcolor])))
end
elseif d[:linetype] == :scatter
elseif d[:seriestype] == :scatter
if d[:markershape] == :none
d[:markershape] = :ellipse
d[:markershape] = :circle
end
# elseif d[:linetype] == :step
# elseif d[:seriestype] == :step
# fn = Winston.XXX
# elseif d[:linetype] == :stepinverted
# elseif d[:seriestype] == :stepinverted
# fn = Winston.XXX
elseif d[:linetype] == :sticks
elseif d[:seriestype] == :sticks
Winston.add(wplt, Winston.Stems(d[:x], d[:y]; e...))
# elseif d[:linetype] == :dots
# elseif d[:seriestype] == :dots
# fn = Winston.XXX
# elseif d[:linetype] == :heatmap
# elseif d[:seriestype] == :histogram2d
# fn = Winston.XXX
# elseif d[:linetype] == :hexbin
# elseif d[:seriestype] == :hexbin
# fn = Winston.XXX
elseif d[:linetype] == :hist
hst = hist(d[:y], d[:nbins])
Winston.add(wplt, Winston.Histogram(hst...; copy_remove(e, :nbins)...))
elseif d[:seriestype] == :histogram
hst = hist(d[:y], d[:bins])
Winston.add(wplt, Winston.Histogram(hst...; copy_remove(e, :bins)...))
# elseif d[:linetype] == :bar
# elseif d[:seriestype] == :bar
# # fn = Winston.XXX
else
error("linetype $(d[:linetype]) not supported by Winston.")
error("seriestype $(d[:seriestype]) not supported by Winston.")
end
@@ -148,25 +176,25 @@ function _add_series(::WinstonPackage, plt::Plot; kw...)
# optionally add a regression line
d[:smooth] && d[:linetype] != :hist && addRegressionLineWinston(d, wplt)
d[:smooth] && d[:seriestype] != :histogram && addRegressionLineWinston(d, wplt)
push!(plt.seriesargs, d)
plt
# push!(plt.seriesargs, d)
# plt
end
# ----------------------------------------------------------------
@compat const _winstonNames = Dict(
@compat const _winstonNames = KW(
:xlims => :xrange,
:ylims => :yrange,
:xscale => :xlog,
:yscale => :ylog,
)
function _update_plot(plt::Plot{WinstonPackage}, d::Dict)
function _update_plot_object(plt::Plot{WinstonBackend}, d::KW)
window, canvas, wplt = getWinstonItems(plt)
for k in (:xlabel, :ylabel, :title, :xlims, :ylims)
for k in (:xguide, :yguide, :title, :xlims, :ylims)
if haskey(d, k)
Winston.setattr(wplt, string(get(_winstonNames, k, k)), d[k])
end
@@ -185,11 +213,11 @@ end
# ----------------------------------------------------------------
function createWinstonAnnotationObject(plt::Plot{WinstonPackage}, x, y, val::@compat(AbstractString))
function createWinstonAnnotationObject(plt::Plot{WinstonBackend}, x, y, val::@compat(AbstractString))
Winston.text(x, y, val)
end
function _add_annotations{X,Y,V}(plt::Plot{WinstonPackage}, anns::AVec{@compat(Tuple{X,Y,V})})
function _add_annotations{X,Y,V}(plt::Plot{WinstonBackend}, anns::AVec{@compat(Tuple{X,Y,V})})
for ann in anns
createWinstonAnnotationObject(plt, ann...)
end
@@ -198,26 +226,26 @@ end
# ----------------------------------------------------------------
function _create_subplot(subplt::Subplot{WinstonPackage}, isbefore::Bool)
# TODO: build the underlying Subplot object. this is where you might layout the panes within a GUI window, for example
end
# function _create_subplot(subplt::Subplot{WinstonBackend}, isbefore::Bool)
# # TODO: build the underlying Subplot object. this is where you might layout the panes within a GUI window, for example
# end
# ----------------------------------------------------------------
function addWinstonLegend(plt::Plot, wplt)
if plt.plotargs[:legend] != :none
if plt.attr[:legend] != :none
Winston.legend(wplt, [sd[:label] for sd in plt.seriesargs])
end
end
function Base.writemime(io::IO, ::MIME"image/png", plt::PlottingObject{WinstonPackage})
function Base.writemime(io::IO, ::MIME"image/png", plt::AbstractPlot{WinstonBackend})
window, canvas, wplt = getWinstonItems(plt)
addWinstonLegend(plt, wplt)
writemime(io, "image/png", wplt)
end
function Base.display(::PlotsDisplay, plt::Plot{WinstonPackage})
function Base.display(::PlotsDisplay, plt::Plot{WinstonBackend})
window, canvas, wplt = getWinstonItems(plt)
@@ -226,9 +254,9 @@ function Base.display(::PlotsDisplay, plt::Plot{WinstonPackage})
error("Gtk is the only supported display for Winston in Plots. Set `output_surface = gtk` in src/Winston.ini")
end
# initialize window
w,h = plt.plotargs[:size]
w,h = plt.attr[:size]
canvas = Gtk.GtkCanvasLeaf()
window = Gtk.GtkWindowLeaf(canvas, plt.plotargs[:windowtitle], w, h)
window = Gtk.GtkWindowLeaf(canvas, plt.attr[:window_title], w, h)
plt.o = (window, canvas, wplt)
end
@@ -239,6 +267,6 @@ function Base.display(::PlotsDisplay, plt::Plot{WinstonPackage})
end
function Base.display(::PlotsDisplay, subplt::Subplot{WinstonPackage})
# TODO: display/show the Subplot object
end
# function Base.display(::PlotsDisplay, subplt::Subplot{WinstonBackend})
# # TODO: display/show the Subplot object
# end
File diff suppressed because it is too large Load Diff
+34 -44
View File
@@ -18,10 +18,13 @@ colorscheme(c::Colorant; kw...) = ColorWrapper(c; kw...)
# --------------------------------------------------------------
convertColor(c::@compat(Union{AbstractString, Symbol})) = parse(Colorant, string(c))
convertColor(c::AbstractString) = parse(Colorant, c)
convertColor(c::Symbol) = parse(Colorant, string(c))
convertColor(c::Colorant) = c
convertColor(cvec::AbstractVector) = map(convertColor, cvec)
convertColor(c::ColorScheme) = c
convertColor(v::Void) = RGBA(0,0,0,0)
convertColor(b::Bool) = b ? RGBA(0,0,0,1) : RGBA(0,0,0,0)
function convertColor(c, α::Real)
c = convertColor(c)
@@ -52,7 +55,7 @@ const _rainbowColors = [colorant"blue", colorant"purple", colorant"green", color
const _testColors = [colorant"darkblue", colorant"blueviolet", colorant"darkcyan",colorant"green",
darken(colorant"yellow",0.3), colorant"orange", darken(colorant"red",0.2)]
@compat const _gradients = Dict(
const _gradients = KW(
:blues => [colorant"lightblue", colorant"darkblue"],
:reds => [colorant"lightpink", colorant"darkred"],
:greens => [colorant"lightgreen", colorant"darkgreen"],
@@ -67,19 +70,26 @@ const _testColors = [colorant"darkblue", colorant"blueviolet", colorant"darkcya
:lighttest => map(c -> lighten(c, 0.3), _testColors),
)
function register_gradient_colors{C<:Colorant}(name::Symbol, colors::AVec{C})
_gradients[name] = colors
end
include("color_gradients.jl")
default_gradient() = ColorGradient(:inferno)
# --------------------------------------------------------------
"Continuous gradient between values. Wraps a list of bounding colors and the values they represent."
immutable ColorGradient <: ColorScheme
colors::Vector{Colorant}
values::Vector{Float64}
colors::Vector
values::Vector
function ColorGradient{T<:Colorant,S<:Real}(cs::AVec{T}, vals::AVec{S} = linspace(0, 1, length(cs)); alpha = nothing)
function ColorGradient{S<:Real}(cs::AVec, vals::AVec{S} = linspace(0, 1, length(cs)); alpha = nothing)
if length(cs) == length(vals)
return new(convertColor(cs,alpha), collect(vals))
end
# # otherwise interpolate evenly between the minval and maxval
# minval, maxval = minimum(vals), maximum(vals)
# vs = Float64[interpolate(minval, maxval, w) for w in linspace(0, 1, length(cs))]
@@ -103,8 +113,17 @@ function ColorGradient{T<:Real}(s::Symbol, vals::AVec{T} = 0:0; kw...)
ColorGradient(cs, vals; kw...)
end
function ColorGradient{T<:Real}(cs::AVec{Symbol}, vals::AVec{T} = linspace(0, 1, length(cs)); kw...)
ColorGradient(map(convertColor, cs), vals; kw...)
# function ColorGradient{T<:Real}(cs::AVec, vals::AVec{T} = linspace(0, 1, length(cs)); kw...)
# ColorGradient(map(convertColor, cs), vals; kw...)
# end
function ColorGradient(grad::ColorGradient; alpha = nothing)
ColorGradient(convertColor(grad.colors, alpha), grad.values)
end
# anything else just gets the default gradient
function ColorGradient(cw; alpha=nothing)
ColorGradient(default_gradient(), alpha=alpha)
end
getColor(gradient::ColorGradient, idx::Int) = gradient.colors[mod1(idx, length(gradient.colors))]
@@ -283,7 +302,7 @@ function generate_colorgradient(bgcolor = colorant"white";
gradient_from_list(colors)
end
function get_color_palette(palette, bgcolor::@compat(Union{Colorant,ColorWrapper}), numcolors::Integer)
function get_color_palette(palette, bgcolor::Union{Colorant,ColorWrapper}, numcolors::Integer)
grad = if palette == :auto
generate_colorgradient(bgcolor)
else
@@ -293,7 +312,8 @@ function get_color_palette(palette, bgcolor::@compat(Union{Colorant,ColorWrapper
RGBA[getColorZ(grad, z) for z in zrng]
end
function get_color_palette(palette::Vector{RGBA}, bgcolor::@compat(Union{Colorant,ColorWrapper}), numcolors::Integer)
function get_color_palette{C<:Colorant}(palette::Vector{C},
bgcolor::Union{Colorant,ColorWrapper}, numcolors::Integer)
palette
end
@@ -336,10 +356,10 @@ end
make255(x) = round(Int, 255 * x)
function webcolor(c::Color)
@sprintf("rgb(%d, %d, %d)", [make255(f(c)) for f in [red,green,blue]]...)
@sprintf("rgb(%d, %d, %d)", [make255(f(c)) for f in [red,green,blue]]...)
end
function webcolor(c::TransparentColor)
@sprintf("rgba(%d, %d, %d, %1.3f)", [make255(f(c)) for f in [red,green,blue]]..., alpha(c))
@sprintf("rgba(%d, %d, %d, %1.3f)", [make255(f(c)) for f in [red,green,blue]]..., alpha(c))
end
webcolor(cs::ColorScheme) = webcolor(getColor(cs))
webcolor(c) = webcolor(convertColor(c))
@@ -347,42 +367,12 @@ webcolor(c, α) = webcolor(convertColor(getColor(c), α))
# ----------------------------------------------------------------------------------
# TODO: allow the setting of the algorithm, either by passing a symbol (:colordiff, :fixed, etc) or a function?
# function getBackgroundRGBColor(c, d::Dict)
function handlePlotColors(::PlottingPackage, d::Dict)
if :background_color in supportedArgs()
bgcolor = convertColor(d[:background_color])
else
bgcolor = _plotDefaults[:background_color]
if d[:background_color] != _plotDefaults[:background_color]
warn("Cannot set background_color with backend $(backend())")
end
end
d[:color_palette] = get_color_palette(get(d, :color_palette, :auto), bgcolor, 100)
# set the foreground color (text, ticks, gridlines) to be white or black depending
# on how dark the background is.
fgcolor = get(d, :foreground_color, :auto)
fgcolor = if fgcolor == :auto
isdark(bgcolor) ? colorant"white" : colorant"black"
else
convertColor(fgcolor)
end
# bgcolor
d[:background_color] = colorscheme(bgcolor)
d[:foreground_color] = colorscheme(fgcolor)
end
# converts a symbol or string into a colorant (Colors.RGB), and assigns a color automatically
function getSeriesRGBColor(c, plotargs::Dict, n::Int)
function getSeriesRGBColor(c, sp::Subplot, n::Int)
if c == :auto
c = autopick(plotargs[:color_palette], n)
c = autopick(sp[:color_palette], n)
end
# c should now be a subtype of ColorScheme
+312 -33
View File
@@ -1,6 +1,48 @@
typealias P2 FixedSizeArrays.Vec{2,Float64}
typealias P3 FixedSizeArrays.Vec{3,Float64}
nanpush!(a::AbstractVector{P2}, b) = (push!(a, P2(NaN,NaN)); push!(a, b))
nanappend!(a::AbstractVector{P2}, b) = (push!(a, P2(NaN,NaN)); append!(a, b))
nanpush!(a::AbstractVector{P3}, b) = (push!(a, P3(NaN,NaN,NaN)); push!(a, b))
nanappend!(a::AbstractVector{P3}, b) = (push!(a, P3(NaN,NaN,NaN)); append!(a, b))
compute_angle(v::P2) = (angle = atan2(v[2], v[1]); angle < 0 ? 2π - angle : angle)
# -------------------------------------------------------------
immutable Shape
vertices::AVec
x::Vector{Float64}
y::Vector{Float64}
function Shape(x::AVec, y::AVec)
if x[1] != x[end] || y[1] != y[end]
new(vcat(x, x[1]), vcat(y, y[1]))
else
new(x, y)
end
end
end
Shape(verts::AVec) = Shape(unzip(verts)...)
get_xs(shape::Shape) = shape.x
get_ys(shape::Shape) = shape.y
vertices(shape::Shape) = collect(zip(shape.x, shape.y))
function shape_coords(shape::Shape)
shape.x, shape.y
end
function shape_coords(shapes::AVec{Shape})
length(shapes) == 0 && return zeros(0), zeros(0)
xs = map(get_xs, shapes)
ys = map(get_ys, shapes)
x, y = map(copy, shape_coords(shapes[1]))
for shape in shapes[2:end]
nanappend!(x, shape.x)
nanappend!(y, shape.y)
end
x, y
end
"get an array of tuples of points on a circle with radius `r`"
@@ -17,9 +59,6 @@ function weave(x,y; ordering = Vector[x,y])
try
push!(ret, shift!(o))
end
# try
# push!(ret, shift!(y))
# end
end
done = isempty(x) && isempty(y)
end
@@ -48,13 +87,42 @@ function makecross(; offset = -0.5, radius = 1.0)
z1 = z2 - π/8
outercircle = partialcircle(z1, z1 + 2π, 9, radius)
innercircle = partialcircle(z2, z2 + 2π, 5, 0.5radius)
Shape(weave(outercircle, innercircle,
Shape(weave(outercircle, innercircle,
ordering=Vector[outercircle,innercircle,outercircle])[1:end-2])
end
const _shapes = @compat Dict(
:ellipse => makeshape(20),
from_polar(angle, dist) = P2(dist*cos(angle), dist*sin(angle))
function makearrowhead(angle; h = 2.0, w = 0.4)
tip = from_polar(angle, h)
Shape(P2[(0,0), from_polar(angle - 0.5π, w) - tip,
from_polar(angle + 0.5π, w) - tip, (0,0)])
end
const _shape_keys = Symbol[
:circle,
:rect,
:star5,
:diamond,
:hexagon,
:cross,
:xcross,
:utriangle,
:dtriangle,
:pentagon,
:heptagon,
:octagon,
:star4,
:star6,
:star7,
:star8,
:vline,
:hline,
]
const _shapes = KW(
:circle => makeshape(20),
:rect => makeshape(4, offset=-0.25),
:diamond => makeshape(4),
:utriangle => makeshape(3),
@@ -70,7 +138,86 @@ const _shapes = @compat Dict(
)
for n in [4,5,6,7,8]
_shapes[symbol("star$n")] = makestar(n)
_shapes[Symbol("star$n")] = makestar(n)
end
# -----------------------------------------------------------------------
# uses the centroid calculation from https://en.wikipedia.org/wiki/Centroid#Centroid_of_polygon
function center(shape::Shape)
x, y = shape_coords(shape)
n = length(x)
A, Cx, Cy = 0.0, 0.0, 0.0
for i=1:n
ip1 = i==n ? 1 : i+1
A += x[i] * y[ip1] - x[ip1] * y[i]
end
A *= 0.5
for i=1:n
ip1 = i==n ? 1 : i+1
m = (x[i] * y[ip1] - x[ip1] * y[i])
Cx += (x[i] + x[ip1]) * m
Cy += (y[i] + y[ip1]) * m
end
Cx / 6A, Cy / 6A
end
function Base.scale!(shape::Shape, x::Real, y::Real = x, c = center(shape))
sx, sy = shape_coords(shape)
cx, cy = c
for i=1:length(sx)
sx[i] = (sx[i] - cx) * x + cx
sy[i] = (sy[i] - cy) * y + cy
end
shape
end
function Base.scale(shape::Shape, x::Real, y::Real = x, c = center(shape))
shapecopy = deepcopy(shape)
scale!(shape, x, y, c)
end
function translate!(shape::Shape, x::Real, y::Real = x)
sx, sy = shape_coords(shape)
for i=1:length(sx)
sx[i] += x
sy[i] += y
end
shape
end
function translate(shape::Shape, x::Real, y::Real = x)
shapecopy = deepcopy(shape)
translate!(shape, x, y)
end
function rotate_x(x::Real, y::Real, Θ::Real, centerx::Real, centery::Real)
(x - centerx) * cos(Θ) - (y - centery) * sin(Θ) + centerx
end
function rotate_y(x::Real, y::Real, Θ::Real, centerx::Real, centery::Real)
(y - centery) * cos(Θ) + (x - centerx) * sin(Θ) + centery
end
function rotate(x::Real, y::Real, θ::Real, c = center(shape))
cx, cy = c
rotate_x(x, y, Θ, cx, cy), rotate_y(x, y, Θ, cx, cy)
end
function rotate!(shape::Shape, Θ::Real, c = center(shape))
x, y = shape_coords(shape)
cx, cy = c
for i=1:length(x)
x[i] = rotate_x(x[i], y[i], Θ, cx, cy)
y[i] = rotate_y(x[i], y[i], Θ, cx, cy)
end
shape
end
function rotate(shape::Shape, Θ::Real, c = center(shape))
shapecopy = deepcopy(shape)
rotate!(shapecopy, Θ, c)
end
# -----------------------------------------------------------------------
@@ -87,7 +234,7 @@ end
"Create a Font from a list of unordered features"
function font(args...)
# defaults
family = "Helvetica"
pointsize = 14
@@ -99,7 +246,14 @@ function font(args...)
for arg in args
T = typeof(arg)
if arg == :center
if T == Font
family = arg.family
pointsize = arg.pointsize
halign = arg.halign
valign = arg.valign
rotation = arg.rotation
color = arg.color
elseif arg == :center
halign = :hcenter
valign = :vcenter
elseif arg in (:hcenter, :left, :right)
@@ -108,7 +262,7 @@ function font(args...)
valign = arg
elseif T <: Colorant
color = arg
elseif T <: @compat Union{Symbol,AbstractString}
elseif T <: Symbol || T <: AbstractString
try
color = parse(Colorant, string(arg))
catch
@@ -128,14 +282,25 @@ end
"Wrap a string with font info"
immutable PlotText
str::@compat(AbstractString)
str::AbstractString
font::Font
end
PlotText(str) = PlotText(string(str), font())
text(t::PlotText) = t
text(str::AbstractString, f::Font) = PlotText(str, f)
function text(str, args...)
PlotText(string(str), font(args...))
end
annotations(::Void) = []
annotations(anns::AVec) = anns
annotations(anns) = Any[anns]
# -----------------------------------------------------------------------
# -----------------------------------------------------------------------
immutable Stroke
@@ -146,10 +311,6 @@ immutable Stroke
end
function stroke(args...; alpha = nothing)
# defaults
# width = 1
# color = colorant"black"
# style = :solid
width = nothing
color = nothing
style = nothing
@@ -157,15 +318,18 @@ function stroke(args...; alpha = nothing)
for arg in args
T = typeof(arg)
if arg in _allStyles
# if arg in _allStyles
if allStyles(arg)
style = arg
elseif T <: Colorant
color = arg
elseif T <: @compat Union{Symbol,AbstractString}
elseif T <: Symbol || T <: AbstractString
try
color = parse(Colorant, string(arg))
end
elseif typeof(arg) <: Real
elseif allAlphas(arg)
alpha = arg
elseif allReals(arg)
width = arg
else
warn("Unused stroke arg: $arg ($(typeof(arg)))")
@@ -183,9 +347,6 @@ immutable Brush
end
function brush(args...; alpha = nothing)
# defaults
# sz = 1
# color = colorant"black"
size = nothing
color = nothing
@@ -194,11 +355,13 @@ function brush(args...; alpha = nothing)
if T <: Colorant
color = arg
elseif T <: @compat Union{Symbol,AbstractString}
elseif T <: Symbol || T <: AbstractString
try
color = parse(Colorant, string(arg))
end
elseif typeof(arg) <: Real
elseif allAlphas(arg)
alpha = arg
elseif allReals(arg)
size = arg
else
warn("Unused brush arg: $arg ($(typeof(arg)))")
@@ -222,22 +385,138 @@ end
# -----------------------------------------------------------------------
abstract AbstractSurface
"represents a contour or surface mesh"
immutable Surface{M<:AMat}
# x::AVec
# y::AVec
immutable Surface{M<:AMat} <: AbstractSurface
surf::M
end
Surface(f::Function, x, y) = Surface(Float64[f(xi,yi) for xi in x, yi in y])
Surface(f::Function, x, y) = Surface(Float64[f(xi,yi) for yi in y, xi in x])
Base.Array(surf::Surface) = surf.surf
for f in (:length, :size)
@eval Base.$f(surf::Surface, args...) = $f(surf.surf, args...)
end
Base.copy(surf::Surface) = Surface(copy(surf.surf))
Base.eltype(surf::Surface) = eltype(surf.surf)
function expand_extrema!(a::Axis, surf::Surface)
ex = a[:extrema]
for vi in surf.surf
expand_extrema!(ex, vi)
end
ex
end
"For the case of representing a surface as a function of x/y... can possibly avoid allocations."
immutable SurfaceFunction <: AbstractSurface
f::Function
end
# -----------------------------------------------------------------------
type OHLC{T<:Real}
open::T
high::T
low::T
close::T
# style is :open or :closed (for now)
immutable Arrow
style::Symbol
headlength::Float64
headwidth::Float64
end
function arrow(args...)
style = :simple
headlength = 0.3
headwidth = 0.3
setlength = false
for arg in args
T = typeof(arg)
if T == Symbol
style = arg
elseif T <: Number
# first we apply to both, but if there's more, then only change width after the first number
headwidth = Float64(arg)
if !setlength
headlength = headwidth
end
setlength = true
elseif T <: Tuple && length(arg) == 2
headlength, headwidth = Float64(arg[1]), Float64(arg[2])
else
warn("Skipped arrow arg $arg")
end
end
Arrow(style, headlength, headwidth)
end
# allow for do-block notation which gets called on every valid start/end pair which
# we need to draw an arrow
function add_arrows(func::Function, x::AVec, y::AVec)
for i=2:length(x)
xyprev = (x[i-1], y[i-1])
xy = (x[i], y[i])
if ok(xyprev) && ok(xy)
if i==length(x) || !ok(x[i+1], y[i+1])
# add the arrow from xyprev to xy
func(xyprev, xy)
end
end
end
end
# -----------------------------------------------------------------------
type BezierCurve{T <: FixedSizeArrays.Vec}
control_points::Vector{T}
end
@compat function (bc::BezierCurve)(t::Real)
p = zero(P2)
n = length(bc.control_points)-1
for i in 0:n
p += bc.control_points[i+1] * binomial(n, i) * (1-t)^(n-i) * t^i
end
p
end
Base.mean(x::Real, y::Real) = 0.5*(x+y)
Base.mean{N,T<:Real}(ps::FixedSizeArrays.Vec{N,T}...) = sum(ps) / length(ps)
curve_points(curve::BezierCurve, n::Integer = 30; range = [0,1]) = map(curve, linspace(range..., n))
# build a BezierCurve which leaves point p vertically upwards and arrives point q vertically upwards.
# may create a loop if necessary. Assumes the view is [0,1]
function directed_curve(p::P2, q::P2; xview = 0:1, yview = 0:1)
mn = mean(p, q)
diff = q - p
minx, maxx = minimum(xview), maximum(xview)
miny, maxy = minimum(yview), maximum(yview)
diffpct = P2(diff[1] / (maxx - minx),
diff[2] / (maxy - miny))
# these points give the initial/final "rise"
# vertical_offset = P2(0, (maxy - miny) * max(0.03, min(abs(0.5diffpct[2]), 1.0)))
vertical_offset = P2(0, max(0.15, 0.5norm(diff)))
upper_control = p + vertical_offset
lower_control = q - vertical_offset
# try to figure out when to loop around vs just connecting straight
# TODO: choose loop direction based on sign of p[1]??
# x_close_together = abs(diffpct[1]) <= 0.05
p_is_higher = diff[2] <= 0
inside_control_points = if p_is_higher
# add curve points which will create a loop
sgn = mn[1] < 0.5 * (maxx + minx) ? -1 : 1
inside_offset = P2(0.3 * (maxx - minx), 0)
additional_offset = P2(sgn * diff[1], 0) # make it even loopier
[upper_control + sgn * (inside_offset + max(0, additional_offset)),
lower_control + sgn * (inside_offset + max(0, -additional_offset))]
else
[]
end
BezierCurve([p, upper_control, inside_control_points..., lower_control, q])
end
+349
View File
@@ -0,0 +1,349 @@
"""
Holds all data needed for a documentation example... header, description, and plotting expression (Expr)
"""
type PlotExample
header::AbstractString
desc::AbstractString
exprs::Vector{Expr}
end
# the _examples we'll run for each
const _examples = PlotExample[
PlotExample("Lines",
"A simple line plot of the columns.",
[:(begin
plot(Plots.fakedata(50,5), w=3)
end)]
),
PlotExample("Functions, adding data, and animations",
"Plot multiple functions. You can also put the function first, or use the form `plot(f, xmin, xmax)` where f is a Function or AbstractVector{Function}.\n\nGet series data: `x, y = plt[i]`. Set series data: `plt[i] = (x,y)`. Add to the series with `push!`/`append!`.\n\nEasily build animations. (`convert` or `ffmpeg` must be available to generate the animation.) Use command `gif(anim, filename, fps=15)` to save the animation.",
[:(begin
p = plot([sin,cos], zeros(0), leg=false)
anim = Animation()
for x in linspace(0, 10π, 100)
push!(p, x, Float64[sin(x), cos(x)])
frame(anim)
end
end)]
),
PlotExample("Parametric plots",
"Plot function pair (x(u), y(u)).",
[:(begin
plot(sin, x->sin(2x), 0, 2π, line=4, leg=false, fill=(0,:orange))
end)]
),
PlotExample("Colors",
"Access predefined palettes (or build your own with the `colorscheme` method). Line/marker colors are auto-generated from the plot's palette, unless overridden. Set the `z` argument to turn on series gradients.",
[:(begin
y = rand(100)
plot(0:10:100,rand(11,4),lab="lines",w=3,palette=:grays,fill=(0,:auto), α=0.6)
scatter!(y, zcolor=abs(y-.5), m=(:heat,0.8,stroke(1,:green)), ms=10*abs(y-0.5)+4, lab="grad")
end)]
),
PlotExample("Global",
"Change the guides/background/limits/ticks. Convenience args `xaxis` and `yaxis` allow you to pass a tuple or value which will be mapped to the relevant args automatically. The `xaxis` below will be replaced with `xlabel` and `xlims` args automatically during the preprocessing step. You can also use shorthand functions: `title!`, `xaxis!`, `yaxis!`, `xlabel!`, `ylabel!`, `xlims!`, `ylims!`, `xticks!`, `yticks!`",
[:(begin
y = rand(20,3)
plot(y, xaxis=("XLABEL",(-5,30),0:2:20,:flip), background_color = RGB(0.2,0.2,0.2), leg=false)
hline!(mean(y,1)+rand(1,3), line=(4,:dash,0.6,[:lightgreen :green :darkgreen]))
vline!([5,10])
title!("TITLE")
yaxis!("YLABEL", :log10)
end)]
),
# PlotExample("Two-axis",
# "Use the `axis` arguments.",
# [
# :(plot(Vector[randn(100), randn(100)*100], axis = [:l :r], ylabel="LEFT", yrightlabel="RIGHT", xlabel="X", title="TITLE"))
# ]),
PlotExample("Images",
"Plot an image. y-axis is set to flipped",
[:(begin
import Images
img = Images.load(Pkg.dir("PlotReferenceImages","Plots","pyplot","0.7.0","ref1.png"))
plot(img)
end)]
),
PlotExample("Arguments",
"Plot multiple series with different numbers of points. Mix arguments that apply to all series (marker/markersize) with arguments unique to each series (colors). Special arguments `line`, `marker`, and `fill` will automatically figure out what arguments to set (for example, we are setting the `linestyle`, `linewidth`, and `color` arguments with `line`.) Note that we pass a matrix of colors, and this applies the colors to each series.",
[:(begin
ys = Vector[rand(10), rand(20)]
plot(ys, color=[:black :orange], line=(:dot,4), marker=([:hex :d],12,0.8,stroke(3,:gray)))
end)]
),
PlotExample("Build plot in pieces",
"Start with a base plot...",
[:(begin
plot(rand(100)/3, reg=true, fill=(0,:green))
end)]
),
PlotExample("",
"and add to it later.",
[:(begin
scatter!(rand(100), markersize=6, c=:orange)
end)]
),
PlotExample("Histogram2D",
"",
[:(begin
histogram2d(randn(10000), randn(10000), nbins=20)
end)]
),
PlotExample("Line types",
"",
[:(begin
linetypes = [:path :steppre :steppost :sticks :scatter]
n = length(linetypes)
x = Vector[sort(rand(20)) for i in 1:n]
y = rand(20,n)
plot(x, y, line=(linetypes,3), lab=map(string,linetypes), ms=15)
end)]
),
PlotExample("Line styles",
"",
[:(begin
styles = filter(s -> s in supported_styles(), [:solid, :dash, :dot, :dashdot, :dashdotdot])'
n = length(styles)
y = cumsum(randn(20,n),1)
plot(y, line = (5, styles), label = map(string,styles))
end)]
),
PlotExample("Marker types",
"",
[:(begin
markers = filter(m -> m in supported_markers(), Plots._shape_keys)'
n = length(markers)
x = linspace(0,10,n+2)[2:end-1]
y = repmat(reverse(x)', n, 1)
scatter(x, y, m=(8,:auto), lab=map(string,markers), bg=:linen, xlim=(0,10), ylim=(0,10))
end)]
),
PlotExample("Bar",
"x is the midpoint of the bar. (todo: allow passing of edges instead of midpoints)",
[:(begin
bar(randn(99))
end)]
),
PlotExample("Histogram",
"",
[:(begin
histogram(randn(1000), nbins=20)
end)]
),
PlotExample("Subplots",
"""
Use the `layout` keyword, and optionally the convenient `@layout` macro to generate arbitrarily complex subplot layouts.
""",
[:(begin
l = @layout([a{0.1h}; b [c;d e]])
plot(randn(100,5), layout=l, t=[:line :histogram :scatter :steppre :bar], leg=false, ticks=nothing, border=false)
end)]
),
PlotExample("Adding to subplots",
"Note here the automatic grid layout, as well as the order in which new series are added to the plots.",
[:(begin
plot(Plots.fakedata(100,10), layout=4, palette=[:grays :blues :heat :lightrainbow], bg_inside=[:orange :pink :darkblue :black])
end)]
),
PlotExample("",
"",
[:(begin
srand(111)
plot!(Plots.fakedata(100,10))
end)]
),
PlotExample("Open/High/Low/Close",
"Create an OHLC chart. Pass in a list of (open,high,low,close) tuples as your `y` argument. This uses recipes to first convert the tuples to OHLC objects, and subsequently create a :path series with the appropriate line segments.",
[:(begin
n=20
hgt=rand(n)+1
bot=randn(n)
openpct=rand(n)
closepct=rand(n)
y = OHLC[(openpct[i]*hgt[i]+bot[i], bot[i]+hgt[i], bot[i], closepct[i]*hgt[i]+bot[i]) for i in 1:n]
ohlc(y)
end)]
),
PlotExample("Annotations",
"The `annotations` keyword is used for text annotations in data-coordinates. Pass in a tuple (x,y,text) or a vector of annotations. `annotate!(ann)` is shorthand for `plot!(; annotation=ann)`. Series annotations are used for annotating individual data points. They require only the annotation... x/y values are computed. A `PlotText` object can be build with the method `text(string, attr...)`, which wraps font and color attributes.",
[:(begin
y = rand(10)
plot(y, annotations = (3,y[3],text("this is #3",:left)), leg=false)
annotate!([(5, y[5], text("this is #5",16,:red,:center)), (10, y[10], text("this is #10",:right,20,"courier"))])
scatter!(linspace(2,8,6), rand(6), marker=(50,0.2,:orange), series_annotations = ["series","annotations","map","to","series",text("data",:green)])
end)]
),
PlotExample("Custom Markers",
"A `Plots.Shape` is a light wrapper around vertices of a polygon. For supported backends, pass arbitrary polygons as the marker shapes. Note: The center is (0,0) and the size is expected to be rougly the area of the unit circle.",
[:(begin
verts = [(-1.0,1.0),(-1.28,0.6),(-0.2,-1.4),(0.2,-1.4),(1.28,0.6),(1.0,1.0),
(-1.0,1.0),(-0.2,-0.6),(0.0,-0.2),(-0.4,0.6),(1.28,0.6),(0.2,-1.4),
(-0.2,-1.4),(0.6,0.2),(-0.2,0.2),(0.0,-0.2),(0.2,0.2),(-0.2,-0.6)]
x = 0.1:0.2:0.9
y = 0.7rand(5)+0.15
plot(x, y, line = (3,:dash,:lightblue), marker = (Shape(verts),30,RGBA(0,0,0,0.2)),
bg=:pink, fg=:darkblue, xlim = (0,1), ylim=(0,1), leg=false)
end)]
),
PlotExample("Contours",
"Any value for fill works here. We first build a filled contour from a function, then an unfilled contour from a matrix.",
[:(begin
x = 1:0.5:20
y = 1:0.5:10
f(x,y) = (3x+y^2)*abs(sin(x)+cos(y))
X = repmat(x', length(y), 1)
Y = repmat(y, 1, length(x))
Z = map(f, X, Y)
p1 = contour(x, y, f, fill=true)
p2 = contour(x, y, Z)
plot(p1, p2)
end)]
# [:(begin
# x = 1:0.3:20
# y = x
# f(x,y) = sin(x)+cos(y)
# contour(x, y, f, fill=true)
# end)]
),
PlotExample("Pie",
"",
[:(begin
x = ["Nerds", "Hackers", "Scientists"]
y = [0.4, 0.35, 0.25]
pie(x, y, title="The Julia Community", l=0.5)
end)]
),
PlotExample("3D",
"",
[:(begin
n = 100
ts = linspace(0,8π,n)
x = ts .* map(cos,ts)
y = 0.1ts .* map(sin,ts)
z = 1:n
plot(x, y, z, zcolor=reverse(z), m=(10,0.8,:blues,stroke(0)), leg=false, cbar=true, w=5)
plot!(zeros(n),zeros(n),1:n, w=10)
end)]
),
PlotExample("DataFrames",
"Plot using DataFrame column symbols.",
[:(begin
import RDatasets
iris = RDatasets.dataset("datasets", "iris")
scatter(iris, :SepalLength, :SepalWidth, group=:Species,
title = "My awesome plot", xlabel = "Length", ylabel = "Width",
marker = (0.5, [:+ :h :star7], 12), bg=RGB(.2,.2,.2))
end)]
),
PlotExample("Groups and Subplots",
"",
[:(begin
group = rand(map(i->"group $i",1:4),100)
plot(rand(100), layout=@layout([a b;c]), group=group, linetype=[:bar :scatter :steppre])
end)]
),
PlotExample("Polar Plots",
"",
[:(begin
Θ = linspace(0,1.5π,100)
r = abs(0.1randn(100)+sin(3Θ))
plot(Θ, r, proj=:polar, m=2)
end)]
),
PlotExample("Heatmap, categorical axes, and aspect_ratio",
"",
[:(begin
xs = [string("x",i) for i=1:10]
ys = [string("y",i) for i=1:4]
z = float((1:4)*(1:10)')
heatmap(xs, ys, z, aspect_ratio=1)
end)]
),
PlotExample("Layouts, margins, label rotation, title location",
"",
[:(begin
plot(rand(100,6),layout=@layout([a b; c]),title=["A" "B" "C"],
title_location=:left, left_margin=[20mm 0mm],
bottom_margin=50px, xrotation=60)
end)]
),
PlotExample("Boxplot and Violin series recipes",
"",
[:(begin
import RDatasets
singers = RDatasets.dataset("lattice", "singer")
violin(singers, :VoicePart, :Height, marker = (0.2, :blue, stroke(0)))
boxplot!(singers, :VoicePart, :Height, marker = (0.3, :orange, stroke(2)))
end)]
)
]
# ---------------------------------------------------------------------------------
# make and display one plot
function test_examples(pkgname::Symbol, idx::Int; debug = false, disp = true)
Plots._debugMode.on = debug
info("Testing plot: $pkgname:$idx:$(_examples[idx].header)")
backend(pkgname)
backend()
map(eval, _examples[idx].exprs)
plt = current()
if disp
gui(plt)
end
plt
end
# generate all plots and create a dict mapping idx --> plt
function test_examples(pkgname::Symbol; debug = false, disp = true, sleep = nothing,
skip = [], only = nothing)
Plots._debugMode.on = debug
plts = Dict()
for i in 1:length(_examples)
only != nothing && !(i in only) && continue
i in skip && continue
try
plt = test_examples(pkgname, i, debug=debug, disp=disp)
plts[i] = plt
catch ex
# TODO: put error info into markdown?
warn("Example $pkgname:$i:$(_examples[i].header) failed with: $ex")
end
if sleep != nothing
Base.sleep(sleep)
end
end
plts
end
+674
View File
@@ -0,0 +1,674 @@
# NOTE: (0,0) is the top-left !!!
# allow pixels and percentages
const px = AbsoluteLength(0.254)
const pct = Length{:pct, Float64}(1.0)
to_pixels(m::AbsoluteLength) = m.value / 0.254
const _cbar_width = 5mm
@compat Base.:.*(m::Measure, n::Number) = m * n
@compat Base.:.*(n::Number, m::Measure) = m * n
@compat Base.:-(m::Measure, a::AbstractArray) = map(ai -> m - ai, a)
@compat Base.:-(a::AbstractArray, m::Measure) = map(ai -> ai - m, a)
Base.zero(::Type{typeof(mm)}) = 0mm
Base.one(::Type{typeof(mm)}) = 1mm
Base.typemin(::typeof(mm)) = -Inf*mm
Base.typemax(::typeof(mm)) = Inf*mm
Base.convert{F<:AbstractFloat}(::Type{F}, l::AbsoluteLength) = convert(F, l.value)
# TODO: these are unintuitive and may cause tricky bugs
# @compat Base.:+(m1::AbsoluteLength, m2::Length{:pct}) = AbsoluteLength(m1.value * (1 + m2.value))
# @compat Base.:+(m1::Length{:pct}, m2::AbsoluteLength) = AbsoluteLength(m2.value * (1 + m1.value))
# @compat Base.:-(m1::AbsoluteLength, m2::Length{:pct}) = AbsoluteLength(m1.value * (1 - m2.value))
# @compat Base.:-(m1::Length{:pct}, m2::AbsoluteLength) = AbsoluteLength(m2.value * (m1.value - 1))
@compat Base.:*(m1::AbsoluteLength, m2::Length{:pct}) = AbsoluteLength(m1.value * m2.value)
@compat Base.:*(m1::Length{:pct}, m2::AbsoluteLength) = AbsoluteLength(m2.value * m1.value)
@compat Base.:/(m1::AbsoluteLength, m2::Length{:pct}) = AbsoluteLength(m1.value / m2.value)
@compat Base.:/(m1::Length{:pct}, m2::AbsoluteLength) = AbsoluteLength(m2.value / m1.value)
Base.zero(::Type{typeof(pct)}) = 0pct
Base.one(::Type{typeof(pct)}) = 1pct
Base.typemin(::typeof(pct)) = 0pct
Base.typemax(::typeof(pct)) = 1pct
const defaultbox = BoundingBox(0mm, 0mm, 0mm, 0mm)
left(bbox::BoundingBox) = bbox.x0[1]
top(bbox::BoundingBox) = bbox.x0[2]
right(bbox::BoundingBox) = left(bbox) + width(bbox)
bottom(bbox::BoundingBox) = top(bbox) + height(bbox)
Base.size(bbox::BoundingBox) = (width(bbox), height(bbox))
# @compat Base.:*{T,N}(m1::Length{T,N}, m2::Length{T,N}) = Length{T,N}(m1.value * m2.value)
ispositive(m::Measure) = m.value > 0
# union together bounding boxes
@compat function Base.:+(bb1::BoundingBox, bb2::BoundingBox)
# empty boxes don't change the union
ispositive(width(bb1)) || return bb2
ispositive(height(bb1)) || return bb2
ispositive(width(bb2)) || return bb1
ispositive(height(bb2)) || return bb1
l = min(left(bb1), left(bb2))
t = min(top(bb1), top(bb2))
r = max(right(bb1), right(bb2))
b = max(bottom(bb1), bottom(bb2))
BoundingBox(l, t, r-l, b-t)
end
# this creates a bounding box in the parent's scope, where the child bounding box
# is relative to the parent
function crop(parent::BoundingBox, child::BoundingBox)
l = left(parent) + left(child)
t = top(parent) + top(child)
w = width(child)
h = height(child)
BoundingBox(l, t, w, h)
end
# convert x,y coordinates from absolute coords to percentages...
# returns x_pct, y_pct
function xy_mm_to_pcts(x::AbsoluteLength, y::AbsoluteLength, figw, figh, flipy = true)
xmm, ymm = x.value, y.value
if flipy
ymm = figh.value - ymm # flip y when origin in bottom-left
end
xmm / figw.value, ymm / figh.value
end
# convert a bounding box from absolute coords to percentages...
# returns an array of percentages of figure size: [left, bottom, width, height]
function bbox_to_pcts(bb::BoundingBox, figw, figh, flipy = true)
mms = Float64[f(bb).value for f in (left,bottom,width,height)]
if flipy
mms[2] = figh.value - mms[2] # flip y when origin in bottom-left
end
mms ./ Float64[figw.value, figh.value, figw.value, figh.value]
end
function Base.show(io::IO, bbox::BoundingBox)
print(io, "BBox{l,t,r,b,w,h = $(left(bbox)),$(top(bbox)), $(right(bbox)),$(bottom(bbox)), $(width(bbox)),$(height(bbox))}")
end
# -----------------------------------------------------------
# AbstractLayout
Base.show(io::IO, layout::AbstractLayout) = print(io, "$(typeof(layout))$(size(layout))")
# create a new bbox
function bbox(x, y, w, h; h_anchor = :left, v_anchor = :top)
left = if h_anchor == :left
x
else
x - w * (h_anchor == :right ? 1.0 : 0.5)
end
top = if v_anchor == :top
y
else
y - h * (v_anchor == :bottom ? 1.0 : 0.5)
end
BoundingBox(left, top, w, h)
end
# this is the available area for drawing everything in this layout... as percentages of total canvas
bbox(layout::AbstractLayout) = layout.bbox
bbox!(layout::AbstractLayout, bb::BoundingBox) = (layout.bbox = bb)
# layouts are recursive, tree-like structures, and most will have a parent field
Base.parent(layout::AbstractLayout) = layout.parent
parent_bbox(layout::AbstractLayout) = bbox(parent(layout))
# padding_w(layout::AbstractLayout) = left_padding(layout) + right_padding(layout)
# padding_h(layout::AbstractLayout) = bottom_padding(layout) + top_padding(layout)
# padding(layout::AbstractLayout) = (padding_w(layout), padding_h(layout))
update_position!(layout::AbstractLayout) = nothing
update_child_bboxes!(layout::AbstractLayout, minimum_perimeter = [0mm,0mm,0mm,0mm]) = nothing
left(layout::AbstractLayout) = left(bbox(layout))
top(layout::AbstractLayout) = top(bbox(layout))
right(layout::AbstractLayout) = right(bbox(layout))
bottom(layout::AbstractLayout) = bottom(bbox(layout))
width(layout::AbstractLayout) = width(bbox(layout))
height(layout::AbstractLayout) = height(bbox(layout))
# pass these through to the bbox methods if there's no plotarea
plotarea(layout::AbstractLayout) = bbox(layout)
plotarea!(layout::AbstractLayout, bb::BoundingBox) = bbox!(layout, bb)
attr(layout::AbstractLayout, k::Symbol) = layout.attr[k]
attr(layout::AbstractLayout, k::Symbol, v) = get(layout.attr, k, v)
attr!(layout::AbstractLayout, v, k::Symbol) = (layout.attr[k] = v)
hasattr(layout::AbstractLayout, k::Symbol) = haskey(layout.attr, k)
leftpad(layout::AbstractLayout) = 0mm
toppad(layout::AbstractLayout) = 0mm
rightpad(layout::AbstractLayout) = 0mm
bottompad(layout::AbstractLayout) = 0mm
# -----------------------------------------------------------
# RootLayout
# this is the parent of the top-level layout
immutable RootLayout <: AbstractLayout end
Base.parent(::RootLayout) = nothing
parent_bbox(::RootLayout) = defaultbox
bbox(::RootLayout) = defaultbox
# -----------------------------------------------------------
# EmptyLayout
# contains blank space
type EmptyLayout <: AbstractLayout
parent::AbstractLayout
bbox::BoundingBox
attr::KW # store label, width, and height for initialization
# label # this is the label that the subplot will take (since we create a layout before initialization)
end
EmptyLayout(parent = RootLayout(); kw...) = EmptyLayout(parent, defaultbox, KW(kw))
Base.size(layout::EmptyLayout) = (0,0)
Base.length(layout::EmptyLayout) = 0
Base.getindex(layout::EmptyLayout, r::Int, c::Int) = nothing
_update_min_padding!(layout::EmptyLayout) = nothing
# -----------------------------------------------------------
# GridLayout
# nested, gridded layout with optional size percentages
type GridLayout <: AbstractLayout
parent::AbstractLayout
minpad::Tuple # leftpad, toppad, rightpad, bottompad
bbox::BoundingBox
grid::Matrix{AbstractLayout} # Nested layouts. Each position is a AbstractLayout, which allows for arbitrary recursion
widths::Vector{Measure}
heights::Vector{Measure}
attr::KW
end
grid(args...; kw...) = GridLayout(args...; kw...)
function GridLayout(dims...;
parent = RootLayout(),
widths = zeros(dims[2]),
heights = zeros(dims[1]),
kw...)
grid = Matrix{AbstractLayout}(dims...)
layout = GridLayout(
parent,
(20mm, 5mm, 2mm, 10mm),
defaultbox,
grid,
Measure[w*pct for w in widths],
Measure[h*pct for h in heights],
# convert(Vector{Float64}, widths),
# convert(Vector{Float64}, heights),
KW(kw))
fill!(grid, EmptyLayout(layout))
layout
end
Base.size(layout::GridLayout) = size(layout.grid)
Base.length(layout::GridLayout) = length(layout.grid)
Base.getindex(layout::GridLayout, r::Int, c::Int) = layout.grid[r,c]
function Base.setindex!(layout::GridLayout, v, r::Int, c::Int)
layout.grid[r,c] = v
end
leftpad(layout::GridLayout) = layout.minpad[1]
toppad(layout::GridLayout) = layout.minpad[2]
rightpad(layout::GridLayout) = layout.minpad[3]
bottompad(layout::GridLayout) = layout.minpad[4]
# here's how this works... first we recursively "update the minimum padding" (which
# means to calculate the minimum size needed from the edge of the subplot to plot area)
# for the whole layout tree. then we can compute the "padding borders" of this
# layout as the biggest padding of the children on the perimeter. then we need to
# recursively pass those borders back down the tree, one side at a time, but ONLY
# to those perimeter children.
# leftpad, toppad, rightpad, bottompad
function _update_min_padding!(layout::GridLayout)
map(_update_min_padding!, layout.grid)
layout.minpad = (
maximum(map(leftpad, layout.grid[:,1])),
maximum(map(toppad, layout.grid[1,:])),
maximum(map(rightpad, layout.grid[:,end])),
maximum(map(bottompad, layout.grid[end,:]))
)
end
function update_position!(layout::GridLayout)
map(update_position!, layout.grid)
end
# some lengths are fixed... we have to split up the free space among the list v
function recompute_lengths(v)
# dump(v)
tot = 0pct
cnt = 0
for vi in v
if vi == 0pct
cnt += 1
else
tot += vi
end
end
leftover = 1.0pct - tot
if cnt > 1 && leftover.value <= 0
error("Not enough length left over in layout! v = $v, cnt = $cnt, leftover = $leftover")
end
# now fill in the blanks
Measure[(vi == 0pct ? leftover / cnt : vi) for vi in v]
end
# recursively compute the bounding boxes for the layout and plotarea (relative to canvas!)
function update_child_bboxes!(layout::GridLayout, minimum_perimeter = [0mm,0mm,0mm,0mm])
nr, nc = size(layout)
# # create a matrix for each minimum padding direction
# _update_min_padding!(layout)
minpad_left = map(leftpad, layout.grid)
minpad_top = map(toppad, layout.grid)
minpad_right = map(rightpad, layout.grid)
minpad_bottom = map(bottompad, layout.grid)
# @show minpad_left minpad_top minpad_right minpad_bottom
# get the max horizontal (left and right) padding over columns,
# and max vertical (bottom and top) padding over rows
# TODO: add extra padding here
pad_left = maximum(minpad_left, 1)
pad_top = maximum(minpad_top, 2)
pad_right = maximum(minpad_right, 1)
pad_bottom = maximum(minpad_bottom, 2)
# @show pad_left pad_top pad_right pad_bottom
# make sure the perimeter match the parent
pad_left[1] = max(pad_left[1], minimum_perimeter[1])
pad_top[1] = max(pad_top[1], minimum_perimeter[2])
pad_right[end] = max(pad_right[end], minimum_perimeter[3])
pad_bottom[end] = max(pad_bottom[end], minimum_perimeter[4])
# scale this up to the total padding in each direction
total_pad_horizontal = sum(pad_left + pad_right)
total_pad_vertical = sum(pad_top + pad_bottom)
# @show total_pad_horizontal total_pad_vertical
# now we can compute the total plot area in each direction
total_plotarea_horizontal = width(layout) - total_pad_horizontal
total_plotarea_vertical = height(layout) - total_pad_vertical
# @show total_plotarea_horizontal total_plotarea_vertical
# recompute widths/heights
layout.widths = recompute_lengths(layout.widths)
layout.heights = recompute_lengths(layout.heights)
# @show layout.widths layout.heights
# normalize widths/heights so they sum to 1
# denom_w = sum(layout.widths)
# denom_h = sum(layout.heights)
# @show layout.widths layout.heights denom_w, denom_h
# we have all the data we need... lets compute the plot areas and set the bounding boxes
for r=1:nr, c=1:nc
child = layout[r,c]
# get the top-left corner of this child... the first one is top-left of the parent (i.e. layout)
child_left = (c == 1 ? left(layout.bbox) : right(layout[r, c-1].bbox))
child_top = (r == 1 ? top(layout.bbox) : bottom(layout[r-1, c].bbox))
# compute plot area
plotarea_left = child_left + pad_left[c]
plotarea_top = child_top + pad_top[r]
plotarea_width = total_plotarea_horizontal * layout.widths[c]
plotarea_height = total_plotarea_vertical * layout.heights[r]
plotarea!(child, BoundingBox(plotarea_left, plotarea_top, plotarea_width, plotarea_height))
# compute child bbox
child_width = pad_left[c] + plotarea_width + pad_right[c]
child_height = pad_top[r] + plotarea_height + pad_bottom[r]
bbox!(child, BoundingBox(child_left, child_top, child_width, child_height))
# this is the minimum perimeter as decided by this child's parent, so that
# all children on this border have the same value
min_child_perimeter = [
c == 1 ? layout.minpad[1] : 0mm,
r == 1 ? layout.minpad[2] : 0mm,
c == nc ? layout.minpad[3] : 0mm,
r == nr ? layout.minpad[4] : 0mm
]
# recursively update the child's children
update_child_bboxes!(child, min_child_perimeter)
end
end
# for each inset (floating) subplot, resolve the relative position
# to absolute canvas coordinates, relative to the parent's plotarea
function update_inset_bboxes!(plt::Plot)
for sp in plt.inset_subplots
p_area = Measures.resolve(plotarea(sp.parent), sp[:relative_bbox])
# @show bbox(sp.parent) sp[:relative_bbox] p_area
plotarea!(sp, p_area)
bbox!(sp, bbox(
left(p_area) - leftpad(sp),
top(p_area) - toppad(sp),
width(p_area) + leftpad(sp) + rightpad(sp),
height(p_area) + toppad(sp) + bottompad(sp)
))
end
end
# ----------------------------------------------------------------------
calc_num_subplots(layout::AbstractLayout) = 1
function calc_num_subplots(layout::GridLayout)
tot = 0
for l in layout.grid
tot += calc_num_subplots(l)
end
tot
end
function compute_gridsize(numplts::Int, nr::Int, nc::Int)
# figure out how many rows/columns we need
if nr < 1
if nc < 1
nr = round(Int, sqrt(numplts))
nc = ceil(Int, numplts / nr)
else
nr = ceil(Int, numplts / nc)
end
else
nc = ceil(Int, numplts / nr)
end
nr, nc
end
# ----------------------------------------------------------------------
# constructors
# pass the layout arg through
function layout_args(d::KW)
layout_args(get(d, :layout, default(:layout)))
end
function layout_args(d::KW, n_override::Integer)
layout, n = layout_args(get(d, :layout, n_override))
if n != n_override
error("When doing layout, n != n_override. You're probably trying to force existing plots into a layout that doesn't fit them.")
end
layout, n
end
function layout_args(n::Integer)
nr, nc = compute_gridsize(n, -1, -1)
GridLayout(nr, nc), n
end
function layout_args{I<:Integer}(sztup::NTuple{2,I})
nr, nc = sztup
GridLayout(nr, nc), nr*nc
end
function layout_args{I<:Integer}(sztup::NTuple{3,I})
n, nr, nc = sztup
nr, nc = compute_gridsize(n, nr, nc)
GridLayout(nr, nc), n
end
# compute number of subplots
function layout_args(layout::GridLayout)
# recursively get the size of the grid
n = calc_num_subplots(layout)
layout, n
end
layout_args(huh) = error("unhandled layout type $(typeof(huh)): $huh")
# ----------------------------------------------------------------------
function build_layout(args...)
layout, n = layout_args(args...)
build_layout(layout, n)
end
# # just a single subplot
# function build_layout(sp::Subplot, n::Integer)
# sp, Subplot[sp], SubplotMap(gensym() => sp)
# end
# n is the number of subplots... build a grid and initialize the inner subplots recursively
function build_layout(layout::GridLayout, n::Integer)
nr, nc = size(layout)
subplots = Subplot[]
spmap = SubplotMap()
i = 0
for r=1:nr, c=1:nc
l = layout[r,c]
if isa(l, EmptyLayout) && !get(l.attr, :blank, false)
sp = Subplot(backend(), parent=layout)
layout[r,c] = sp
push!(subplots, sp)
spmap[attr(l,:label,gensym())] = sp
if get(l.attr, :width, :auto) != :auto
layout.widths[c] = attr(l,:width)
end
if get(l.attr, :height, :auto) != :auto
layout.heights[r] = attr(l,:height)
end
i += 1
elseif isa(l, GridLayout)
# sub-grid
l, sps, m = build_layout(l, n-i)
append!(subplots, sps)
merge!(spmap, m)
i += length(sps)
elseif isa(l, Subplot)
error("Subplot exists. Cannot re-use existing layout. Please make a new one.")
end
i >= n && break # only add n subplots
end
layout, subplots, spmap
end
# build a layout from a list of existing Plot objects
# TODO... much of the logic overlaps with the method above... can we merge?
function build_layout(layout::GridLayout, numsp::Integer, plts::AVec{Plot})
nr, nc = size(layout)
subplots = Subplot[]
spmap = SubplotMap()
i = 0
for r=1:nr, c=1:nc
l = layout[r,c]
if isa(l, EmptyLayout) && !get(l.attr, :blank, false)
plt = shift!(plts) # grab the first plot out of the list
layout[r,c] = plt.layout
append!(subplots, plt.subplots)
merge!(spmap, plt.spmap)
if get(l.attr, :width, :auto) != :auto
layout.widths[c] = attr(l,:width)
end
if get(l.attr, :height, :auto) != :auto
layout.heights[r] = attr(l,:height)
end
i += length(plt.subplots)
elseif isa(l, GridLayout)
# sub-grid
l, sps, m = build_layout(l, numsp-i, plts)
append!(subplots, sps)
merge!(spmap, m)
i += length(sps)
end
i >= numsp && break # only add n subplots
end
layout, subplots, spmap
end
# ----------------------------------------------------------------------
# @layout macro
function add_layout_pct!(kw::KW, v::Expr, idx::Integer, nidx::Integer)
# dump(v)
# something like {0.2w}?
if v.head == :call && v.args[1] == :*
num = v.args[2]
if length(v.args) == 3 && isa(num, Number)
units = v.args[3]
if units == :h
return kw[:h] = num*pct
elseif units == :w
return kw[:w] = num*pct
elseif units in (:pct, :px, :mm, :cm, :inch)
idx == 1 && (kw[:w] = v)
(idx == 2 || nidx == 1) && (kw[:h] = v)
# return kw[idx == 1 ? :w : :h] = v
end
end
end
error("Couldn't match layout curly (idx=$idx): $v")
end
function add_layout_pct!(kw::KW, v::Number, idx::Integer)
# kw[idx == 1 ? :w : :h] = v*pct
idx == 1 && (kw[:w] = v*pct)
(idx == 2 || nidx == 1) && (kw[:h] = v*pct)
end
isrow(v) = isa(v, Expr) && v.head in (:hcat,:row)
iscol(v) = isa(v, Expr) && v.head == :vcat
rowsize(v) = isrow(v) ? length(v.args) : 1
function create_grid(expr::Expr)
if iscol(expr)
create_grid_vcat(expr)
elseif isrow(expr)
:(let cell = GridLayout(1, $(length(expr.args)))
$([:(cell[1,$i] = $(create_grid(v))) for (i,v) in enumerate(expr.args)]...)
cell
end)
elseif expr.head == :curly
create_grid_curly(expr)
else
# if it's something else, just return that (might be an existing layout?)
expr
end
end
function create_grid_vcat(expr::Expr)
rowsizes = map(rowsize, expr.args)
rmin, rmax = extrema(rowsizes)
if rmin > 0 && rmin == rmax
# we have a grid... build the whole thing
# note: rmin is the number of columns
nr = length(expr.args)
nc = rmin
body = Expr(:block)
for r=1:nr
arg = expr.args[r]
if isrow(arg)
for (c,item) in enumerate(arg.args)
push!(body.args, :(cell[$r,$c] = $(create_grid(item))))
end
else
push!(body.args, :(cell[$r,1] = $(create_grid(arg))))
end
end
:(let cell = GridLayout($nr, $nc)
$body
cell
end)
else
# otherwise just build one row at a time
:(let cell = GridLayout($(length(expr.args)), 1)
$([:(cell[$i,1] = $(create_grid(v))) for (i,v) in enumerate(expr.args)]...)
cell
end)
end
end
function create_grid_curly(expr::Expr)
s = expr.args[1]
kw = KW()
for (i,arg) in enumerate(expr.args[2:end])
add_layout_pct!(kw, arg, i, length(expr.args)-1)
end
# @show kw
:(EmptyLayout(label = $(QuoteNode(s)), width = $(get(kw, :w, QuoteNode(:auto))), height = $(get(kw, :h, QuoteNode(:auto)))))
end
function create_grid(s::Symbol)
:(EmptyLayout(label = $(QuoteNode(s)), blank = $(s == :_)))
end
macro layout(mat::Expr)
create_grid(mat)
end
# -------------------------------------------------------------------------
# make all reference the same axis extrema/values
function link_axes!(axes::Axis...)
a1 = axes[1]
for i=2:length(axes)
a2 = axes[i]
for k in (:extrema, :discrete_values, :continuous_values, :discrete_map)
a2[k] = a1[k]
end
end
end
# for some vector or matrix of layouts, filter only the Subplots and link those axes
function link_axes!(a::AbstractArray{AbstractLayout}, axissym::Symbol)
subplots = filter(l -> isa(l, Subplot), a)
axes = [sp.attr[axissym] for sp in subplots]
if length(axes) > 0
link_axes!(axes...)
end
end
# don't do anything for most layout types
function link_axes!(l::AbstractLayout, link::Symbol)
end
# process a GridLayout, recursively linking axes according to the link symbol
function link_axes!(layout::GridLayout, link::Symbol)
nr, nc = size(layout)
if link in (:x, :both)
for c=1:nc
link_axes!(layout.grid[:,c], :xaxis)
end
end
if link in (:y, :both)
for r=1:nr
link_axes!(layout.grid[r,:], :yaxis)
end
end
if link == :all
link_axes!(layout.grid, :xaxis)
link_axes!(layout.grid, :yaxis)
end
for l in layout.grid
link_axes!(l, link)
end
end
+169 -24
View File
@@ -1,49 +1,49 @@
defaultOutputFormat(plt::PlottingObject) = "png"
defaultOutputFormat(plt::Plot) = "png"
function png(plt::PlottingObject, fn::@compat(AbstractString))
function png(plt::Plot, fn::AbstractString)
fn = addExtension(fn, "png")
io = open(fn, "w")
writemime(io, MIME("image/png"), plt)
close(io)
end
png(fn::@compat(AbstractString)) = png(current(), fn)
png(fn::AbstractString) = png(current(), fn)
function svg(plt::PlottingObject, fn::@compat(AbstractString))
function svg(plt::Plot, fn::AbstractString)
fn = addExtension(fn, "svg")
io = open(fn, "w")
writemime(io, MIME("image/svg+xml"), plt)
close(io)
end
svg(fn::@compat(AbstractString)) = svg(current(), fn)
svg(fn::AbstractString) = svg(current(), fn)
function pdf(plt::PlottingObject, fn::@compat(AbstractString))
function pdf(plt::Plot, fn::AbstractString)
fn = addExtension(fn, "pdf")
io = open(fn, "w")
writemime(io, MIME("application/pdf"), plt)
close(io)
end
pdf(fn::@compat(AbstractString)) = pdf(current(), fn)
pdf(fn::AbstractString) = pdf(current(), fn)
function ps(plt::PlottingObject, fn::@compat(AbstractString))
function ps(plt::Plot, fn::AbstractString)
fn = addExtension(fn, "ps")
io = open(fn, "w")
writemime(io, MIME("application/postscript"), plt)
close(io)
end
ps(fn::@compat(AbstractString)) = ps(current(), fn)
ps(fn::AbstractString) = ps(current(), fn)
function tex(plt::PlottingObject, fn::@compat(AbstractString))
function tex(plt::Plot, fn::AbstractString)
fn = addExtension(fn, "tex")
io = open(fn, "w")
writemime(io, MIME("application/x-tex"), plt)
close(io)
end
tex(fn::@compat(AbstractString)) = tex(current(), fn)
tex(fn::AbstractString) = tex(current(), fn)
# ----------------------------------------------------------------
@@ -57,7 +57,7 @@ tex(fn::@compat(AbstractString)) = tex(current(), fn)
"tex" => tex,
)
function getExtension(fn::@compat(AbstractString))
function getExtension(fn::AbstractString)
pieces = split(fn, ".")
length(pieces) > 1 || error("Can't extract file extension: ", fn)
ext = pieces[end]
@@ -65,7 +65,7 @@ function getExtension(fn::@compat(AbstractString))
ext
end
function addExtension(fn::@compat(AbstractString), ext::@compat(AbstractString))
function addExtension(fn::AbstractString, ext::AbstractString)
try
oldext = getExtension(fn)
if oldext == ext
@@ -78,8 +78,8 @@ function addExtension(fn::@compat(AbstractString), ext::@compat(AbstractString))
end
end
function savefig(plt::PlottingObject, fn::@compat(AbstractString))
function savefig(plt::Plot, fn::AbstractString)
# get the extension
local ext
try
@@ -96,19 +96,164 @@ function savefig(plt::PlottingObject, fn::@compat(AbstractString))
end
func(plt, fn)
end
savefig(fn::@compat(AbstractString)) = savefig(current(), fn)
# savepng(args...; kw...) = savepng(current(), args...; kw...)
# savepng(plt::PlottingObject, fn::@compat(AbstractString); kw...) = (io = open(fn, "w"); writemime(io, MIME("image/png"), plt); close(io))
savefig(fn::AbstractString) = savefig(current(), fn)
# ---------------------------------------------------------
gui(plt::PlottingObject = current()) = display(PlotsDisplay(), plt)
gui(plt::Plot = current()) = display(PlotsDisplay(), plt)
function Base.display(::PlotsDisplay, plt::Plot)
prepare_output(plt)
_display(plt)
end
# override the REPL display to open a gui window
Base.display(::Base.REPL.REPLDisplay, ::MIME"text/plain", plt::PlottingObject) = gui(plt)
Base.display(::Base.REPL.REPLDisplay, ::MIME"text/plain", plt::Plot) = gui(plt)
# ---------------------------------------------------------
const _mimeformats = Dict(
"application/eps" => "eps",
"image/eps" => "eps",
"application/pdf" => "pdf",
"image/png" => "png",
"application/postscript" => "ps",
"image/svg+xml" => "svg",
"text/plain" => "txt",
)
const _best_html_output_type = KW(
:pyplot => :png,
:unicodeplots => :txt,
)
# a backup for html... passes to svg or png depending on the html_output_format arg
function Base.writemime(io::IO, ::MIME"text/html", plt::Plot)
output_type = Symbol(plt.attr[:html_output_format])
if output_type == :auto
output_type = get(_best_html_output_type, backend_name(plt.backend), :svg)
end
if output_type == :png
# info("writing png to html output")
print(io, "<img src=\"data:image/png;base64,", base64encode(writemime, MIME("image/png"), plt), "\" />")
elseif output_type == :svg
# info("writing svg to html output")
writemime(io, MIME("image/svg+xml"), plt)
elseif output_type == :txt
writemime(io, MIME("text/plain"), plt)
else
error("only png or svg allowed. got: $output_type")
end
end
# for writing to io streams... first prepare, then callback
for mime in keys(_mimeformats)
@eval function Base.writemime(io::IO, m::MIME{Symbol($mime)}, plt::Plot)
prepare_output(plt)
_writemime(io, m, plt)
end
end
# ---------------------------------------------------------
# A backup, if no PNG generation is defined, is to try to make a PDF and use FileIO to convert
if is_installed("FileIO")
@eval begin
import FileIO
function _writemime(io::IO, ::MIME"image/png", plt::Plot)
fn = tempname()
# first save a pdf file
pdf(plt, fn)
# load that pdf into a FileIO Stream
s = FileIO.load(fn * ".pdf")
# save a png
pngfn = fn * ".png"
FileIO.save(pngfn, s)
# now write from the file
write(io, readall(open(pngfn)))
end
end
end
# function html_output_format(fmt)
# if fmt == "png"
# @eval function Base.writemime(io::IO, ::MIME"text/html", plt::Plot)
# print(io, "<img src=\"data:image/png;base64,", base64(writemime, MIME("image/png"), plt), "\" />")
# end
# elseif fmt == "svg"
# @eval function Base.writemime(io::IO, ::MIME"text/html", plt::Plot)
# writemime(io, MIME("image/svg+xml"), plt)
# end
# else
# error("only png or svg allowed. got: $fmt")
# end
# end
#
# html_output_format("svg")
# ---------------------------------------------------------
# IJulia
# ---------------------------------------------------------
const _ijulia_output = Compat.ASCIIString["text/html"]
function setup_ijulia()
# override IJulia inline display
if isijulia()
@eval begin
import IJulia
export set_ijulia_output
function set_ijulia_output(mimestr::AbstractString)
# info("Setting IJulia output format to $mimestr")
global _ijulia_output
_ijulia_output[1] = mimestr
end
function IJulia.display_dict(plt::Plot)
global _ijulia_output
Dict{Compat.ASCIIString, ByteString}(_ijulia_output[1] => sprint(writemime, _ijulia_output[1], plt))
end
end
set_ijulia_output("text/html")
end
end
# ---------------------------------------------------------
# Atom PlotPane
# ---------------------------------------------------------
function setup_atom()
# @require Atom begin
if isatom() && get(ENV, "PLOTS_USE_ATOM_PLOTPANE", false) in (true, 1, "1", "true", "yes")
# @eval import Atom, Media
@eval import Atom
# connects the render function
for T in (GadflyBackend,ImmerseBackend,PyPlotBackend,GRBackend)
Atom.Media.media(Plot{T}, Atom.Media.Plot)
end
# Atom.Media.media{T <: Union{GadflyBackend,ImmerseBackend,PyPlotBackend,GRBackend}}(Plot{T}, Atom.Media.Plot)
# Atom.displaysize(::Plot) = (535, 379)
# Atom.displaytitle(plt::Plot) = "Plots.jl (backend: $(backend(plt)))"
# this is like "display"... sends an html div with the plot to the PlotPane
function Atom.Media.render(pane::Atom.PlotPane, plt::Plot)
Atom.Media.render(pane, Atom.div(Atom.d(), Atom.HTML(stringmime(MIME("text/html"), plt))))
end
# function Atom.Media.render(pane::Atom.PlotPane, plt::Plot{PlotlyBackend})
# html = Media.render(pane, Atom.div(Atom.d(), Atom.HTML(stringmime(MIME("text/html"), plt))))
# end
end
end
+554 -469
View File
File diff suppressed because it is too large Load Diff
-121
View File
@@ -1,121 +0,0 @@
immutable NoPackage <: PlottingPackage end
const _backendType = Dict{Symbol, DataType}(:none => NoPackage)
const _backendSymbol = Dict{DataType, Symbol}(NoPackage => :none)
const _backends = Symbol[]
const _initialized_backends = Set{Symbol}()
backends() = _backends
backend_name() = CURRENT_BACKEND.sym
_backend_instance(sym::Symbol) = haskey(_backendType, sym) ? _backendType[sym]() : error("Unsupported backend $sym")
macro init_plotting_pkg(s)
str = lowercase(string(s))
sym = symbol(str)
T = symbol(string(s) * "Package")
esc(quote
immutable $T <: PlottingPackage end
export $sym
$sym(; kw...) = (default(; kw...); backend(symbol($str)))
backend_name(::$T) = symbol($str)
push!(_backends, symbol($str))
_backendType[symbol($str)] = $T
_backendSymbol[$T] = symbol($str)
include("backends/" * $str * ".jl")
end)
end
@init_plotting_pkg Immerse
@init_plotting_pkg Gadfly
@init_plotting_pkg PyPlot
@init_plotting_pkg Qwt
@init_plotting_pkg UnicodePlots
@init_plotting_pkg Winston
@init_plotting_pkg Bokeh
@init_plotting_pkg Plotly
@init_plotting_pkg PlotlyJS
@init_plotting_pkg GR
@init_plotting_pkg GLVisualize
@init_plotting_pkg PGFPlots
include("backends/web.jl")
include("backends/supported.jl")
# ---------------------------------------------------------
plot(pkg::PlottingPackage; kw...) = error("plot($pkg; kw...) is not implemented")
plot!(pkg::PlottingPackage, plt::Plot; kw...) = error("plot!($pkg, plt; kw...) is not implemented")
_update_plot(pkg::PlottingPackage, plt::Plot, d::Dict) = error("_update_plot($pkg, plt, d) is not implemented")
_update_plot_pos_size{P<:PlottingPackage}(plt::PlottingObject{P}, d::Dict) = nothing
subplot(pkg::PlottingPackage; kw...) = error("subplot($pkg; kw...) is not implemented")
subplot!(pkg::PlottingPackage, subplt::Subplot; kw...) = error("subplot!($pkg, subplt; kw...) is not implemented")
# ---------------------------------------------------------
type CurrentBackend
sym::Symbol
pkg::PlottingPackage
end
CurrentBackend(sym::Symbol) = CurrentBackend(sym, _backend_instance(sym))
# ---------------------------------------------------------
function pickDefaultBackend()
for pkgstr in ("PyPlot", "Immerse", "Qwt", "Gadfly", "GR", "UnicodePlots", "Bokeh", "GLVisualize")
if Pkg.installed(pkgstr) != nothing
return backend(symbol(lowercase(pkgstr)))
end
end
# the default if nothing else is installed
backend(:plotly)
end
# ---------------------------------------------------------
"""
Returns the current plotting package name. Initializes package on first call.
"""
function backend()
global CURRENT_BACKEND
if CURRENT_BACKEND.sym == :none
pickDefaultBackend()
end
sym = CURRENT_BACKEND.sym
if !(sym in _initialized_backends)
# initialize
println("[Plots.jl] Initializing backend: ", sym)
inst = _backend_instance(sym)
try
_initialize_backend(inst)
catch err
warn("Couldn't initialize $sym. (might need to install it?)")
rethrow(err)
end
push!(_initialized_backends, sym)
end
CURRENT_BACKEND.pkg
end
"""
Set the plot backend.
"""
function backend(pkg::PlottingPackage)
CURRENT_BACKEND.sym = backend_name(pkg)
CURRENT_BACKEND.pkg = pkg
end
function backend(modname::Symbol)
CURRENT_BACKEND.sym = modname
CURRENT_BACKEND.pkg = _backend_instance(modname)
end
+1171 -63
View File
File diff suppressed because it is too large Load Diff
+550
View File
@@ -0,0 +1,550 @@
# create a new "build_series_args" which converts all inputs into xs = Any[xitems], ys = Any[yitems].
# Special handling for: no args, xmin/xmax, parametric, dataframes
# Then once inputs have been converted, build the series args, map functions, etc.
# This should cut down on boilerplate code and allow more focused dispatch on type
# note: returns meta information... mainly for use with automatic labeling from DataFrames for now
typealias FuncOrFuncs @compat(Union{Function, AVec{Function}})
all3D(d::KW) = trueOrAllTrue(st -> st in (:contour, :heatmap, :surface, :wireframe, :contour3d), get(d, :seriestype, :none))
# missing
convertToAnyVector(v::@compat(Void), d::KW) = Any[nothing], nothing
# fixed number of blank series
convertToAnyVector(n::Integer, d::KW) = Any[zeros(0) for i in 1:n], nothing
# numeric vector
convertToAnyVector{T<:Number}(v::AVec{T}, d::KW) = Any[v], nothing
# string vector
convertToAnyVector{T<:@compat(AbstractString)}(v::AVec{T}, d::KW) = Any[v], nothing
# numeric matrix
function convertToAnyVector{T<:Number}(v::AMat{T}, d::KW)
if all3D(d)
Any[Surface(v)]
else
Any[v[:,i] for i in 1:size(v,2)]
end, nothing
end
# other matrix... vector of columns
function convertToAnyVector(m::AMat, d::KW)
Any[begin
v = vec(m[:,i])
length(v) == 1 ? v[1] : v
end for i=1:size(m,2)], nothing
end
# function
convertToAnyVector(f::Function, d::KW) = Any[f], nothing
# surface
convertToAnyVector(s::Surface, d::KW) = Any[s], nothing
# # vector of OHLC
# convertToAnyVector(v::AVec{OHLC}, d::KW) = Any[v], nothing
# dates
convertToAnyVector{D<:Union{Date,DateTime}}(dts::AVec{D}, d::KW) = Any[dts], nothing
# list of things (maybe other vectors, functions, or something else)
function convertToAnyVector(v::AVec, d::KW)
if all(x -> typeof(x) <: Number, v)
# all real numbers wrap the whole vector as one item
Any[convert(Vector{Float64}, v)], nothing
else
# something else... treat each element as an item
vcat(Any[convertToAnyVector(vi, d)[1] for vi in v]...), nothing
# Any[vi for vi in v], nothing
end
end
convertToAnyVector(t::Tuple, d::KW) = Any[t], nothing
function convertToAnyVector(args...)
error("In convertToAnyVector, could not handle the argument types: $(map(typeof, args[1:end-1]))")
end
# --------------------------------------------------------------------
# TODO: can we avoid the copy here? one error that crops up is that mapping functions over the same array
# result in that array being shared. push!, etc will add too many items to that array
compute_x(x::Void, y::Void, z) = 1:size(z,1)
compute_x(x::Void, y, z) = 1:size(y,1)
compute_x(x::Function, y, z) = map(x, y)
compute_x(x, y, z) = copy(x)
# compute_y(x::Void, y::Function, z) = error()
compute_y(x::Void, y::Void, z) = 1:size(z,2)
compute_y(x, y::Function, z) = map(y, x)
compute_y(x, y, z) = copy(y)
compute_z(x, y, z::Function) = map(z, x, y)
compute_z(x, y, z::AbstractMatrix) = Surface(z)
compute_z(x, y, z::Void) = nothing
compute_z(x, y, z) = copy(z)
nobigs(v::AVec{BigFloat}) = map(Float64, v)
nobigs(v::AVec{BigInt}) = map(Int64, v)
nobigs(v) = v
@noinline function compute_xyz(x, y, z)
x = compute_x(x,y,z)
y = compute_y(x,y,z)
z = compute_z(x,y,z)
nobigs(x), nobigs(y), nobigs(z)
end
# not allowed
compute_xyz(x::Void, y::FuncOrFuncs, z) = error("If you want to plot the function `$y`, you need to define the x values!")
compute_xyz(x::Void, y::Void, z::FuncOrFuncs) = error("If you want to plot the function `$z`, you need to define x and y values!")
compute_xyz(x::Void, y::Void, z::Void) = error("x/y/z are all nothing!")
# --------------------------------------------------------------------
# # create n=max(mx,my) series arguments. the shorter list is cycled through
# # note: everything should flow through this
# function build_series_args(plt::AbstractPlot, kw::KW) #, idxfilter)
# x, y, z = map(sym -> pop!(kw, sym, nothing), (:x, :y, :z))
# if nothing == x == y == z
# return [], nothing, nothing
# end
#
# xs, xmeta = convertToAnyVector(x, kw)
# ys, ymeta = convertToAnyVector(y, kw)
# zs, zmeta = convertToAnyVector(z, kw)
#
# fr = pop!(kw, :fillrange, nothing)
# fillranges, _ = if typeof(fr) <: Number
# ([fr],nothing)
# else
# convertToAnyVector(fr, kw)
# end
#
# mx = length(xs)
# my = length(ys)
# mz = length(zs)
# ret = Any[]
# for i in 1:max(mx, my, mz)
#
# # try to set labels using ymeta
# d = copy(kw)
# if !haskey(d, :label) && ymeta != nothing
# if isa(ymeta, Symbol)
# d[:label] = string(ymeta)
# elseif isa(ymeta, AVec{Symbol})
# d[:label] = string(ymeta[mod1(i,length(ymeta))])
# end
# end
#
# # build the series arg dict
# numUncounted = pop!(d, :numUncounted, 0)
# commandIndex = i + numUncounted
# n = plt.n + i
#
# dumpdict(d, "before getSeriesArgs")
# d = getSeriesArgs(plt.backend, getattr(plt, n), d, commandIndex, convertSeriesIndex(plt, n), n)
# dumpdict(d, "after getSeriesArgs")
#
# d[:x], d[:y], d[:z] = compute_xyz(xs[mod1(i,mx)], ys[mod1(i,my)], zs[mod1(i,mz)])
# st = d[:seriestype]
#
# # for seriestype `line`, need to sort by x values
# if st == :line
# # order by x
# indices = sortperm(d[:x])
# d[:x] = d[:x][indices]
# d[:y] = d[:y][indices]
# d[:seriestype] = :path
# end
#
# # special handling for missing x in box plot... all the same category
# if st == :box && xs[mod1(i,mx)] == nothing
# d[:x] = ones(Int, length(d[:y]))
# end
#
# # map functions to vectors
# if isa(d[:marker_z], Function)
# d[:marker_z] = map(d[:marker_z], d[:x])
# end
#
# # @show fillranges
# d[:fillrange] = fillranges[mod1(i,length(fillranges))]
# if isa(d[:fillrange], Function)
# d[:fillrange] = map(d[:fillrange], d[:x])
# end
#
# # handle error bars
# for esym in (:xerror, :yerror)
# if get(d, esym, nothing) != nothing
# # we make a copy of the KW and apply an errorbar recipe
# append!(ret, apply_series_recipe(copy(d), Val{esym}))
# end
# end
#
# # handle ribbons
# if get(d, :ribbon, nothing) != nothing
# rib = d[:ribbon]
# d[:fillrange] = (d[:y] - rib, d[:y] + rib)
# end
#
# # handle quiver plots
# # either a series of velocity vectors are passed in (`:quiver` keyword),
# # or we just add arrows to the path
#
# # if st == :quiver
# # d[:seriestype] = st = :path
# # d[:linewidth] = 0
# # end
# if get(d, :quiver, nothing) != nothing
# append!(ret, apply_series_recipe(copy(d), Val{:quiver}))
# elseif st == :quiver
# d[:seriestype] = st = :path
# d[:arrow] = arrow()
# end
#
# # now that we've processed a given series... optionally split into
# # multiple dicts through a recipe (for example, a box plot is split into component
# # parts... polygons, lines, and scatters)
# # note: we pass in a Val type (i.e. Val{:box}) so that we can dispatch on the seriestype
# kwlist = apply_series_recipe(d, Val{st})
# append!(ret, kwlist)
#
# # # add it to our series list
# # push!(ret, d)
# end
#
# ret, xmeta, ymeta
# end
#
#
# # --------------------------------------------------------------------
# # process_inputs
# # --------------------------------------------------------------------
#
# # These methods take a plot and the keyword arguments, and processes the input
# # arguments (x/y/z, group, etc), populating the KW dict with appropriate values.
#
# # --------------------------------------------------------------------
# # 0 arguments
# # --------------------------------------------------------------------
#
# # don't do anything
# function process_inputs(plt::AbstractPlot, d::KW)
# end
#
# # --------------------------------------------------------------------
# # 1 argument
# # --------------------------------------------------------------------
#
# function process_inputs(plt::AbstractPlot, d::KW, n::Integer)
# # d[:x], d[:y], d[:z] = zeros(0), zeros(0), zeros(0)
# d[:x] = d[:y] = d[:z] = n
# end
#
# # no special handling... assume x and z are nothing
# function process_inputs(plt::AbstractPlot, d::KW, y)
# d[:y] = y
# end
#
# # matrix... is it z or y?
# function process_inputs{T<:Number}(plt::AbstractPlot, d::KW, mat::AMat{T})
# if all3D(d)
# n,m = size(mat)
# d[:x], d[:y], d[:z] = 1:n, 1:m, mat
# else
# d[:y] = mat
# end
# end
#
# # images - grays
# function process_inputs{T<:Gray}(plt::AbstractPlot, d::KW, mat::AMat{T})
# d[:seriestype] = :image
# n,m = size(mat)
# d[:x], d[:y], d[:z] = 1:n, 1:m, Surface(mat)
# # handle images... when not supported natively, do a hack to use heatmap machinery
# if !nativeImagesSupported()
# d[:seriestype] = :heatmap
# d[:yflip] = true
# d[:z] = Surface(convert(Matrix{Float64}, mat.surf))
# d[:fillcolor] = ColorGradient([:black, :white])
# end
# end
#
# # images - colors
# function process_inputs{T<:Colorant}(plt::AbstractPlot, d::KW, mat::AMat{T})
# d[:seriestype] = :image
# n,m = size(mat)
# d[:x], d[:y], d[:z] = 1:n, 1:m, Surface(mat)
# # handle images... when not supported natively, do a hack to use heatmap machinery
# if !nativeImagesSupported()
# d[:yflip] = true
# imageHack(d)
# end
# end
#
#
# # plotting arbitrary shapes/polygons
# function process_inputs(plt::AbstractPlot, d::KW, shape::Shape)
# d[:x], d[:y] = shape_coords(shape)
# d[:seriestype] = :shape
# end
# function process_inputs(plt::AbstractPlot, d::KW, shapes::AVec{Shape})
# d[:x], d[:y] = shape_coords(shapes)
# d[:seriestype] = :shape
# end
# function process_inputs(plt::AbstractPlot, d::KW, shapes::AMat{Shape})
# x, y = [], []
# for j in 1:size(shapes, 2)
# tmpx, tmpy = shape_coords(vec(shapes[:,j]))
# push!(x, tmpx)
# push!(y, tmpy)
# end
# d[:x], d[:y] = x, y
# d[:seriestype] = :shape
# end
#
#
# # function without range... use the current range of the x-axis
# function process_inputs(plt::AbstractPlot, d::KW, f::FuncOrFuncs)
# process_inputs(plt, d, f, xmin(plt), xmax(plt))
# end
#
# # --------------------------------------------------------------------
# # 2 arguments
# # --------------------------------------------------------------------
#
# function process_inputs(plt::AbstractPlot, d::KW, x, y)
# d[:x], d[:y] = x, y
# end
#
# # if functions come first, just swap the order (not to be confused with parametric functions...
# # as there would be more than one function passed in)
# function process_inputs(plt::AbstractPlot, d::KW, f::FuncOrFuncs, x)
# @assert !(typeof(x) <: FuncOrFuncs) # otherwise we'd hit infinite recursion here
# process_inputs(plt, d, x, f)
# end
#
# # --------------------------------------------------------------------
# # 3 arguments
# # --------------------------------------------------------------------
#
# # no special handling... just pass them through
# function process_inputs(plt::AbstractPlot, d::KW, x, y, z)
# d[:x], d[:y], d[:z] = x, y, z
# end
#
# # 3d line or scatter
# function process_inputs(plt::AbstractPlot, d::KW, x::AVec, y::AVec, zvec::AVec)
# # default to path3d if we haven't set a 3d seriestype
# st = get(d, :seriestype, :none)
# if st == :scatter
# d[:seriestype] = :scatter3d
# elseif !(st in _3dTypes)
# d[:seriestype] = :path3d
# end
# d[:x], d[:y], d[:z] = x, y, zvec
# end
#
# # surface-like... function
# function process_inputs{TX,TY}(plt::AbstractPlot, d::KW, x::AVec{TX}, y::AVec{TY}, zf::Function)
# x = TX <: Number ? sort(x) : x
# y = TY <: Number ? sort(y) : y
# # x, y = sort(x), sort(y)
# d[:z] = Surface(zf, x, y) # TODO: replace with SurfaceFunction when supported
# d[:x], d[:y] = x, y
# end
#
# # surface-like... matrix grid
# function process_inputs{TX,TY,TZ}(plt::AbstractPlot, d::KW, x::AVec{TX}, y::AVec{TY}, zmat::AMat{TZ})
# # @assert size(zmat) == (length(x), length(y))
# # if TX <: Number && !issorted(x)
# # idx = sortperm(x)
# # x, zmat = x[idx], zmat[idx, :]
# # end
# # if TY <: Number && !issorted(y)
# # idx = sortperm(y)
# # y, zmat = y[idx], zmat[:, idx]
# # end
# d[:x], d[:y], d[:z] = x, y, Surface{Matrix{TZ}}(zmat)
# if !like_surface(get(d, :seriestype, :none))
# d[:seriestype] = :contour
# end
# end
#
# # surfaces-like... general x, y grid
# function process_inputs{T<:Number}(plt::AbstractPlot, d::KW, x::AMat{T}, y::AMat{T}, zmat::AMat{T})
# @assert size(zmat) == size(x) == size(y)
# # d[:x], d[:y], d[:z] = Any[x], Any[y], Surface{Matrix{Float64}}(zmat)
# d[:x], d[:y], d[:z] = map(Surface{Matrix{Float64}}, (x, y, zmat))
# if !like_surface(get(d, :seriestype, :none))
# d[:seriestype] = :contour
# end
# end
#
#
# # --------------------------------------------------------------------
# # Parametric functions
# # --------------------------------------------------------------------
#
# # special handling... xmin/xmax with function(s)
# function process_inputs(plt::AbstractPlot, d::KW, f::FuncOrFuncs, xmin::Number, xmax::Number)
# width = get(plt.attr, :size, (100,))[1]
# x = linspace(xmin, xmax, width)
# process_inputs(plt, d, x, f)
# end
#
# # special handling... xmin/xmax with parametric function(s)
# process_inputs{T<:Number}(plt::AbstractPlot, d::KW, fx::FuncOrFuncs, fy::FuncOrFuncs, u::AVec{T}) = process_inputs(plt, d, mapFuncOrFuncs(fx, u), mapFuncOrFuncs(fy, u))
# process_inputs{T<:Number}(plt::AbstractPlot, d::KW, u::AVec{T}, fx::FuncOrFuncs, fy::FuncOrFuncs) = process_inputs(plt, d, mapFuncOrFuncs(fx, u), mapFuncOrFuncs(fy, u))
# process_inputs(plt::AbstractPlot, d::KW, fx::FuncOrFuncs, fy::FuncOrFuncs, umin::Number, umax::Number, numPoints::Int = 1000) = process_inputs(plt, d, fx, fy, linspace(umin, umax, numPoints))
#
# # special handling... 3D parametric function(s)
# process_inputs{T<:Number}(plt::AbstractPlot, d::KW, fx::FuncOrFuncs, fy::FuncOrFuncs, fz::FuncOrFuncs, u::AVec{T}) = process_inputs(plt, d, mapFuncOrFuncs(fx, u), mapFuncOrFuncs(fy, u), mapFuncOrFuncs(fz, u))
# process_inputs{T<:Number}(plt::AbstractPlot, d::KW, u::AVec{T}, fx::FuncOrFuncs, fy::FuncOrFuncs, fz::FuncOrFuncs) = process_inputs(plt, d, mapFuncOrFuncs(fx, u), mapFuncOrFuncs(fy, u), mapFuncOrFuncs(fz, u))
# process_inputs(plt::AbstractPlot, d::KW, fx::FuncOrFuncs, fy::FuncOrFuncs, fz::FuncOrFuncs, umin::Number, umax::Number, numPoints::Int = 1000) = process_inputs(plt, d, fx, fy, fz, linspace(umin, umax, numPoints))
#
#
# # --------------------------------------------------------------------
# # Lists of tuples and FixedSizeArrays
# # --------------------------------------------------------------------
#
# # if we get an unhandled tuple, just splat it in
# function process_inputs(plt::AbstractPlot, d::KW, tup::Tuple)
# process_inputs(plt, d, tup...)
# end
#
# # (x,y) tuples
# function process_inputs{R1<:Number,R2<:Number}(plt::AbstractPlot, d::KW, xy::AVec{Tuple{R1,R2}})
# process_inputs(plt, d, unzip(xy)...)
# end
# function process_inputs{R1<:Number,R2<:Number}(plt::AbstractPlot, d::KW, xy::Tuple{R1,R2})
# process_inputs(plt, d, [xy[1]], [xy[2]])
# end
#
# # (x,y,z) tuples
# function process_inputs{R1<:Number,R2<:Number,R3<:Number}(plt::AbstractPlot, d::KW, xyz::AVec{Tuple{R1,R2,R3}})
# process_inputs(plt, d, unzip(xyz)...)
# end
# function process_inputs{R1<:Number,R2<:Number,R3<:Number}(plt::AbstractPlot, d::KW, xyz::Tuple{R1,R2,R3})
# process_inputs(plt, d, [xyz[1]], [xyz[2]], [xyz[3]])
# end
#
# # 2D FixedSizeArrays
# function process_inputs{T<:Number}(plt::AbstractPlot, d::KW, xy::AVec{FixedSizeArrays.Vec{2,T}})
# process_inputs(plt, d, unzip(xy)...)
# end
# function process_inputs{T<:Number}(plt::AbstractPlot, d::KW, xy::FixedSizeArrays.Vec{2,T})
# process_inputs(plt, d, [xy[1]], [xy[2]])
# end
#
# # 3D FixedSizeArrays
# function process_inputs{T<:Number}(plt::AbstractPlot, d::KW, xyz::AVec{FixedSizeArrays.Vec{3,T}})
# process_inputs(plt, d, unzip(xyz)...)
# end
# function process_inputs{T<:Number}(plt::AbstractPlot, d::KW, xyz::FixedSizeArrays.Vec{3,T})
# process_inputs(plt, d, [xyz[1]], [xyz[2]], [xyz[3]])
# end
#
# # --------------------------------------------------------------------
# # handle grouping
# # --------------------------------------------------------------------
#
# # function process_inputs(plt::AbstractPlot, d::KW, groupby::GroupBy, args...)
# # ret = Any[]
# # error("unfinished after series reorg")
# # for (i,glab) in enumerate(groupby.groupLabels)
# # # TODO: don't automatically overwrite labels
# # kwlist, xmeta, ymeta = process_inputs(plt, d, args...,
# # idxfilter = groupby.groupIds[i],
# # label = string(glab),
# # numUncounted = length(ret)) # we count the idx from plt.n + numUncounted + i
# # append!(ret, kwlist)
# # end
# # ret, nothing, nothing # TODO: handle passing meta through
# # end
# --------------------------------------------------------------------
# For DataFrame support. Imports DataFrames and defines the necessary methods which support them.
# --------------------------------------------------------------------
# function setup_dataframes()
# @require DataFrames begin
# # @eval begin
# # import DataFrames
#
# DFS = Union{Symbol, AbstractArray{Symbol}}
#
# function handle_dfs(df::DataFrames.AbstractDataFrame, d::KW, letter, dfs::DFS)
# if isa(dfs, Symbol)
# get!(d, Symbol(letter * "label"), string(dfs))
# collect(df[dfs])
# else
# get!(d, :label, reshape(dfs, 1, length(dfs)))
# Any[collect(df[s]) for s in dfs]
# end
# end
#
# function handle_group(df::DataFrames.AbstractDataFrame, d::KW)
# if haskey(d, :group)
# g = d[:group]
# if isa(g, Symbol)
# d[:group] = collect(df[g])
# end
# end
# end
#
# @recipe function plot(df::DataFrames.AbstractDataFrame, sy::DFS)
# handle_group(df, d)
# handle_dfs(df, d, "y", sy)
# end
#
# @recipe function plot(df::DataFrames.AbstractDataFrame, sx::DFS, sy::DFS)
# handle_group(df, d)
# x = handle_dfs(df, d, "x", sx)
# y = handle_dfs(df, d, "y", sy)
# x, y
# end
#
# @recipe function plot(df::DataFrames.AbstractDataFrame, sx::DFS, sy::DFS, sz::DFS)
# handle_group(df, d)
# x = handle_dfs(df, d, "x", sx)
# y = handle_dfs(df, d, "y", sy)
# z = handle_dfs(df, d, "z", sz)
# x, y, z
# end
#
# # get_data(df::DataFrames.AbstractDataFrame, arg::Symbol) = df[arg]
# # get_data(df::DataFrames.AbstractDataFrame, arg) = arg
# #
# # function process_inputs(plt::AbstractPlot, d::KW, df::DataFrames.AbstractDataFrame, args...)
# # # d[:dataframe] = df
# # process_inputs(plt, d, map(arg -> get_data(df, arg), args)...)
# # end
# #
# # # expecting the column name of a dataframe that was passed in... anything else should error
# # function extractGroupArgs(s::Symbol, df::DataFrames.AbstractDataFrame, args...)
# # if haskey(df, s)
# # return extractGroupArgs(df[s])
# # else
# # error("Got a symbol, and expected that to be a key in d[:dataframe]. s=$s d=$d")
# # end
# # end
#
# # function getDataFrameFromKW(d::KW)
# # get(d, :dataframe) do
# # error("Missing dataframe argument!")
# # end
# # end
#
# # # the conversion functions for when we pass symbols or vectors of symbols to reference dataframes
# # convertToAnyVector(s::Symbol, d::KW) = Any[getDataFrameFromKW(d)[s]], s
# # convertToAnyVector(v::AVec{Symbol}, d::KW) = (df = getDataFrameFromKW(d); Any[df[s] for s in v]), v
#
# end
# end
+416
View File
@@ -0,0 +1,416 @@
# we are going to build recipes to do the processing and splitting of the args
function _add_defaults!(d::KW, plt::Plot, sp::Subplot, commandIndex::Int)
pkg = plt.backend
globalIndex = d[:series_plotindex]
# add default values to our dictionary, being careful not to delete what we just added!
for (k,v) in _series_defaults
slice_arg!(d, d, k, v, commandIndex, remove_pair = false)
end
# this is how many series belong to this subplot
plotIndex = count(series -> series.d[:subplot] === sp && series.d[:primary], plt.series_list)
if get(d, :primary, true)
plotIndex += 1
end
aliasesAndAutopick(d, :linestyle, _styleAliases, supported_styles(pkg), plotIndex)
aliasesAndAutopick(d, :markershape, _markerAliases, supported_markers(pkg), plotIndex)
# update color
d[:seriescolor] = getSeriesRGBColor(d[:seriescolor], sp, plotIndex)
# update colors
for csym in (:linecolor, :markercolor, :fillcolor)
d[csym] = if d[csym] == :match
if has_black_border_for_default(d[:seriestype]) && csym == :linecolor
:black
else
d[:seriescolor]
end
else
getSeriesRGBColor(d[csym], sp, plotIndex)
end
end
# update markerstrokecolor
c = d[:markerstrokecolor]
c = if c == :match
sp[:foreground_color_subplot]
else
getSeriesRGBColor(c, sp, plotIndex)
end
d[:markerstrokecolor] = c
# update alphas
for asym in (:linealpha, :markeralpha, :fillalpha)
if d[asym] == nothing
d[asym] = d[:seriesalpha]
end
end
if d[:markerstrokealpha] == nothing
d[:markerstrokealpha] = d[:markeralpha]
end
# scatter plots don't have a line, but must have a shape
if d[:seriestype] in (:scatter, :scatter3d)
d[:linewidth] = 0
if d[:markershape] == :none
d[:markershape] = :circle
end
end
# set label
label = d[:label]
label = (label == "AUTO" ? "y$globalIndex" : label)
d[:label] = label
_replace_linewidth(d)
d
end
# -------------------------------------------------------------------
# -------------------------------------------------------------------
# instead of process_inputs:
# ensure we dispatch to the slicer
immutable SliceIt end
# the catch-all recipes
@recipe function f(::Type{SliceIt}, x, y, z)
# @show "HERE", typeof((x,y,z))
xs, _ = convertToAnyVector(x, d)
ys, _ = convertToAnyVector(y, d)
zs, _ = convertToAnyVector(z, d)
fr = pop!(d, :fillrange, nothing)
fillranges, _ = if typeof(fr) <: Number
([fr],nothing)
else
convertToAnyVector(fr, d)
end
mf = length(fillranges)
# @show zs
mx = length(xs)
my = length(ys)
mz = length(zs)
# ret = Any[]
for i in 1:max(mx, my, mz)
# add a new series
di = copy(d)
xi, yi, zi = xs[mod1(i,mx)], ys[mod1(i,my)], zs[mod1(i,mz)]
# @show i, typeof((xi, yi, zi))
di[:x], di[:y], di[:z] = compute_xyz(xi, yi, zi)
# @show i, typeof((di[:x], di[:y], di[:z]))
# handle fillrange
fr = fillranges[mod1(i,mf)]
di[:fillrange] = isa(fr, Function) ? map(fr, di[:x]) : fr
# @show i, di[:x], di[:y], di[:z]
push!(series_list, RecipeData(di, ()))
end
nothing # don't add a series for the main block
end
# this is the default "type recipe"... just pass the object through
@recipe f{T<:Any}(::Type{T}, v::T) = v
# this should catch unhandled "series recipes" and error with a nice message
@recipe f{V<:Val}(::Type{V}, x, y, z) = error("The backend must not support the series type $V, and there isn't a series recipe defined.")
_apply_type_recipe(d, v) = RecipesBase.apply_recipe(d, typeof(v), v)[1].args[1]
# handle "type recipes" by converting inputs, and then either re-calling or slicing
@recipe function f(x, y, z)
did_replace = false
newx = _apply_type_recipe(d, x)
x === newx || (did_replace = true)
newy = _apply_type_recipe(d, y)
y === newy || (did_replace = true)
newz = _apply_type_recipe(d, z)
z === newz || (did_replace = true)
if did_replace
newx, newy, newz
else
SliceIt, x, y, z
end
end
@recipe function f(x, y)
did_replace = false
newx = _apply_type_recipe(d, x)
x === newx || (did_replace = true)
newy = _apply_type_recipe(d, y)
y === newy || (did_replace = true)
if did_replace
newx, newy
else
SliceIt, x, y, nothing
end
end
@recipe function f(y)
newy = _apply_type_recipe(d, y)
if y !== newy
newy
else
SliceIt, nothing, y, nothing
end
end
# if there's more than 3 inputs, it can't be passed directly to SliceIt
# so we'll apply_type_recipe to all of them
@recipe function f(v1, v2, v3, v4, vrest...)
did_replace = false
newargs = map(v -> begin
newv = _apply_type_recipe(d, v)
if newv !== v
did_replace = true
end
newv
end, (v1, v2, v3, v4, vrest...))
if !did_replace
error("Couldn't process recipe args: $(map(typeof, (v1, v2, v3, v4, vrest...)))")
end
newargs
end
# @recipe f(x, y, z) = SliceIt, apply_recipe(typeof(x), x), apply_recipe(typeof(y), y), apply_recipe(typeof(z), z)
# @recipe f(x, y) = SliceIt, apply_recipe(typeof(x), x), apply_recipe(typeof(y), y), nothing
# @recipe f(y) = SliceIt, nothing, apply_recipe(typeof(y), y), nothing
# # pass these through to the slicer
# @recipe f(x, y, z) = SliceIt, x, y, z
# @recipe f(x, y) = SliceIt, x, y, nothing
# @recipe f(y) = SliceIt, nothing, y, nothing
# # --------------------------------------------------------------------
# # 1 argument
# # --------------------------------------------------------------------
@recipe f(n::Integer) = n, n, n
# return a surface if this is a 3d plot, otherwise let it be sliced up
@recipe function f{T<:Number}(mat::AMat{T})
if all3D(d)
n,m = size(mat)
SliceIt, 1:m, 1:n, Surface(mat)
else
SliceIt, nothing, mat, nothing
end
end
# # images - grays
@recipe function f{T<:Gray}(mat::AMat{T})
if nativeImagesSupported()
seriestype := :image
n, m = size(mat)
SliceIt, 1:m, 1:n, Surface(mat)
else
seriestype := :heatmap
yflip --> true
fillcolor --> ColorGradient([:black, :white])
SliceIt, 1:m, 1:n, Surface(convert(Matrix{Float64}, mat))
end
end
# # images - colors
@recipe function f{T<:Colorant}(mat::AMat{T})
if nativeImagesSupported()
seriestype := :image
n, m = size(mat)
SliceIt, 1:m, 1:n, Surface(mat)
else
seriestype := :heatmap
yflip --> true
z, d[:fillcolor] = replace_image_with_heatmap(mat)
SliceIt, 1:m, 1:n, Surface(z)
end
end
#
# # plotting arbitrary shapes/polygons
@recipe function f(shape::Shape)
seriestype := :shape
shape_coords(shape)
end
@recipe function f(shapes::AVec{Shape})
seriestype := :shape
shape_coords(shapes)
end
@recipe function f(shapes::AMat{Shape})
for j in 1:size(shapes,2)
# create one series for each column
# @series shape_coords(vec(shapes[:,j]))
di = copy(d)
push!(series_list, RecipeData(di, shape_coords(vec(shapes[:,j]))))
end
nothing # don't create a series for the main block
end
#
#
# # function without range... use the current range of the x-axis
@recipe function f(f::FuncOrFuncs)
plt = d[:plot_object]
f, xmin(plt), xmax(plt)
end
#
# # --------------------------------------------------------------------
# # 2 arguments
# # --------------------------------------------------------------------
#
#
# # if functions come first, just swap the order (not to be confused with parametric functions...
# # as there would be more than one function passed in)
@recipe function f(f::FuncOrFuncs, x)
@assert !(typeof(x) <: FuncOrFuncs) # otherwise we'd hit infinite recursion here
x, f
end
#
# # --------------------------------------------------------------------
# # 3 arguments
# # --------------------------------------------------------------------
#
#
# # 3d line or scatter
@recipe function f(x::AVec, y::AVec, z::AVec)
# st = get(d, :seriestype, :none)
# if st == :scatter
# d[:seriestype] = :scatter3d
# elseif !is3d(st)
# d[:seriestype] = :path3d
# end
SliceIt, x, y, z
end
@recipe function f(x::AMat, y::AMat, z::AMat)
# st = get(d, :seriestype, :none)
# if size(x) == size(y) == size(z)
# if !is3d(st)
# seriestype := :path3d
# end
# end
SliceIt, x, y, z
end
#
# # surface-like... function
@recipe function f(x::AVec, y::AVec, zf::Function)
# x = X <: Number ? sort(x) : x
# y = Y <: Number ? sort(y) : y
SliceIt, x, y, Surface(zf, x, y) # TODO: replace with SurfaceFunction when supported
end
#
# # surface-like... matrix grid
@recipe function f(x::AVec, y::AVec, z::AMat)
if !like_surface(get(d, :seriestype, :none))
d[:seriestype] = :contour
end
SliceIt, x, y, Surface(z)
end
#
#
# # --------------------------------------------------------------------
# # Parametric functions
# # --------------------------------------------------------------------
#
# # special handling... xmin/xmax with parametric function(s)
@recipe f(f::FuncOrFuncs, xmin::Number, xmax::Number) = linspace(xmin, xmax, 100), f
@recipe f(fx::FuncOrFuncs, fy::FuncOrFuncs, u::AVec) = mapFuncOrFuncs(fx, u), mapFuncOrFuncs(fy, u)
@recipe f(fx::FuncOrFuncs, fy::FuncOrFuncs, umin::Number, umax::Number, n = 200) = fx, fy, linspace(umin, umax, n)
#
# # special handling... 3D parametric function(s)
@recipe function f(fx::FuncOrFuncs, fy::FuncOrFuncs, fz::FuncOrFuncs, u::AVec)
mapFuncOrFuncs(fx, u), mapFuncOrFuncs(fy, u), mapFuncOrFuncs(fz, u)
end
@recipe function f(fx::FuncOrFuncs, fy::FuncOrFuncs, fz::FuncOrFuncs, umin::Number, umax::Number, numPoints = 200)
fx, fy, fz, linspace(umin, umax, numPoints)
end
#
#
# # --------------------------------------------------------------------
# # Lists of tuples and FixedSizeArrays
# # --------------------------------------------------------------------
#
# # if we get an unhandled tuple, just splat it in
@recipe f(tup::Tuple) = tup
#
# # (x,y) tuples
@recipe f{R1<:Number,R2<:Number}(xy::AVec{Tuple{R1,R2}}) = unzip(xy)
@recipe f{R1<:Number,R2<:Number}(xy::Tuple{R1,R2}) = [xy[1]], [xy[2]]
#
# # (x,y,z) tuples
@recipe f{R1<:Number,R2<:Number,R3<:Number}(xyz::AVec{Tuple{R1,R2,R3}}) = unzip(xyz)
@recipe f{R1<:Number,R2<:Number,R3<:Number}(xyz::Tuple{R1,R2,R3}) = [xyz[1]], [xyz[2]], [xyz[3]]
# these might be points+velocity, or OHLC or something else
@recipe f{R1<:Number,R2<:Number,R3<:Number,R4<:Number}(xyuv::AVec{Tuple{R1,R2,R3,R4}}) = get(d,:seriestype,:path)==:ohlc ? OHLC[OHLC(t...) for t in xyuv] : unzip(xyuv)
@recipe f{R1<:Number,R2<:Number,R3<:Number,R4<:Number}(xyuv::Tuple{R1,R2,R3,R4}) = [xyuv[1]], [xyuv[2]], [xyuv[3]], [xyuv[4]]
#
# # 2D FixedSizeArrays
@recipe f{T<:Number}(xy::AVec{FixedSizeArrays.Vec{2,T}}) = unzip(xy)
@recipe f{T<:Number}(xy::FixedSizeArrays.Vec{2,T}) = [xy[1]], [xy[2]]
#
# # 3D FixedSizeArrays
@recipe f{T<:Number}(xyz::AVec{FixedSizeArrays.Vec{3,T}}) = unzip(xyz)
@recipe f{T<:Number}(xyz::FixedSizeArrays.Vec{3,T}) = [xyz[1]], [xyz[2]], [xyz[3]]
#
# # --------------------------------------------------------------------
# # handle grouping
# # --------------------------------------------------------------------
# @recipe function f(groupby::GroupBy, args...)
# for (i,glab) in enumerate(groupby.groupLabels)
# # create a new series, with the label of the group, and an idxfilter (to be applied in slice_and_dice)
# # TODO: use @series instead
# @show i, glab, groupby.groupIds[i]
# di = copy(d)
# get!(di, :label, string(glab))
# get!(di, :idxfilter, groupby.groupIds[i])
# push!(series_list, RecipeData(di, args))
# end
# nothing
# end
# split the group into 1 series per group, and set the label and idxfilter for each
@recipe function f(groupby::GroupBy, args...)
for (i,glab) in enumerate(groupby.groupLabels)
@series begin
label --> string(glab)
idxfilter --> groupby.groupIds[i]
args
end
end
end
-380
View File
@@ -1,380 +0,0 @@
function subplotlayout(sz::@compat(Tuple{Int,Int}))
GridLayout(sz...)
end
function subplotlayout(rowcounts::AVec{Int})
FlexLayout(sum(rowcounts), rowcounts)
end
function subplotlayout(numplts::Int, nr::Int, nc::Int)
# figure out how many rows/columns we need
if nr == -1
if nc == -1
nr = round(Int, sqrt(numplts))
nc = ceil(Int, numplts / nr)
else
nr = ceil(Int, numplts / nc)
end
else
nc = ceil(Int, numplts / nr)
end
# if it's a perfect rectangle, just create a grid
if numplts == nr * nc
return GridLayout(nr, nc)
end
# create the rowcounts vector
i = 0
rowcounts = Int[]
for r in 1:nr
cnt = min(nc, numplts - i)
push!(rowcounts, cnt)
i += cnt
end
FlexLayout(numplts, rowcounts)
end
Base.length(layout::FlexLayout) = layout.numplts
Base.start(layout::FlexLayout) = 1
Base.done(layout::FlexLayout, state) = state > length(layout)
function Base.next(layout::FlexLayout, state)
r = 1
c = 0
for i = 1:state
c += 1
if c > layout.rowcounts[r]
r += 1
c = 1
end
end
(r,c), state + 1
end
nrows(layout::FlexLayout) = length(layout.rowcounts)
ncols(layout::FlexLayout, row::Int) = row < 1 ? 0 : (row > nrows(layout) ? 0 : layout.rowcounts[row])
# get the plot index given row and column
Base.getindex(layout::FlexLayout, r::Int, c::Int) = sum(layout.rowcounts[1:r-1]) + c
Base.length(layout::GridLayout) = layout.nr * layout.nc
Base.start(layout::GridLayout) = 1
Base.done(layout::GridLayout, state) = state > length(layout)
function Base.next(layout::GridLayout, state)
r = div(state-1, layout.nc) + 1
c = mod1(state, layout.nc)
(r,c), state + 1
end
nrows(layout::GridLayout) = layout.nr
ncols(layout::GridLayout) = layout.nc
ncols(layout::GridLayout, row::Int) = layout.nc
# get the plot index given row and column
Base.getindex(layout::GridLayout, r::Int, c::Int) = (r-1) * layout.nc + c
Base.getindex(subplt::Subplot, args...) = subplt.plts[subplt.layout[args...]]
# handle "linking" the subplot axes together
# each backend should implement the _remove_axis and _expand_limits methods
function link_axis(subplt::Subplot, isx::Bool)
# collect the list of plots and the expanded limits for those plots that should be linked on this axis
includedPlots = Any[]
# lims = [Inf, -Inf]
lims = Dict{Int,Any}() # maps column to xlim
for (i,(r,c)) in enumerate(subplt.layout)
# shouldlink will be a bool or nothing. if nothing, then use linkx/y (which is true if we get to this code)
shouldlink = subplt.linkfunc(r,c)[isx ? 1 : 2]
if shouldlink == nothing || shouldlink
plt = subplt.plts[i]
# if we don't have this
k = isx ? c : r
if (firstone = !haskey(lims, k))
lims[k] = [Inf, -Inf]
end
isinner = (isx && r < nrows(subplt.layout)) || (!isx && !firstone)
push!(includedPlots, (plt, isinner, k))
_expand_limits(lims[k], plt, isx)
end
end
# do the axis adjustments
for (plt, isinner, k) in includedPlots
if isinner
_remove_axis(plt, isx)
end
(isx ? xlims! : ylims!)(plt, lims[k]...)
end
end
# ------------------------------------------------------------
Base.string(subplt::Subplot) = "Subplot{$(subplt.backend) p=$(subplt.p) n=$(subplt.n)}"
Base.print(io::IO, subplt::Subplot) = print(io, string(subplt))
Base.show(io::IO, subplt::Subplot) = print(io, string(subplt))
getplot(subplt::Subplot, idx::Int = subplt.n) = subplt.plts[mod1(idx, subplt.p)]
getplotargs(subplt::Subplot, idx::Int) = getplot(subplt, idx).plotargs
convertSeriesIndex(subplt::Subplot, n::Int) = ceil(Int, n / subplt.p)
# ------------------------------------------------------------
function validateSubplotSupported()
if !subplotSupported()
error(CURRENT_BACKEND.sym, " does not support the subplot/subplot! commands at this time. Try one of: ", join(filter(pkg->subplotSupported(_backend_instance(pkg)), backends()),", "))
end
end
"""
Create a series of plots:
```
y = rand(100,3)
subplot(y; n = 3) # create an automatic grid, and let it figure out the nr/nc... will put plots 1 and 2 on the first row, and plot 3 by itself on the 2nd row
subplot(y; n = 3, nr = 1) # create an automatic grid, but fix the number of rows to 1 (so there are n columns)
subplot(y; n = 3, nc = 1) # create an automatic grid, but fix the number of columns to 1 (so there are n rows)
subplot(y; layout = [1, 2]) # explicit layout by row... plot #1 goes by itself in the first row, plots 2 and 3 split the 2nd row (note the n kw is unnecessary)
subplot(plts, n; nr = -1, nc = -1) # build a layout from existing plots
subplot(plts, layout) # build a layout from existing plots
```
"""
function subplot(args...; kw...)
validateSubplotSupported()
d = Dict(kw)
preprocessArgs!(d)
# for plotting recipes, swap out the args and update the parameter dictionary
args = _apply_recipe(d, args...; kw..., issubplot=true)
# figure out the layout
layoutarg = get(d, :layout, nothing)
if layoutarg != nothing
layout = subplotlayout(layoutarg)
else
n = get(d, :n, -1)
if n < 0
error("You must specify either layout or n when creating a subplot: ", d)
end
layout = subplotlayout(n, get(d, :nr, -1), get(d, :nc, -1))
end
# initialize the individual plots
pkg = backend()
plts = Plot{typeof(pkg)}[]
for i in 1:length(layout)
di = getPlotArgs(pkg, d, i)
di[:subplot] = true
dumpdict(di, "Plot args (subplot $i)")
push!(plts, _create_plot(pkg; di...))
end
# create the object and do the plotting
subplt = Subplot(nothing, plts, pkg, length(layout), 0, layout, d, false, false, false, (r,c) -> (nothing,nothing))
subplot!(subplt, args...; d...)
subplt
end
# ------------------------------------------------------------------------------------------------
# NOTE: for the subplot calls building from existing plots, we need the first plot to be separate to ensure dispatch calls this instead of the more general subplot(args...; kw...)
# grid layout
function subplot{P}(plt1::Plot{P}, plts::Plot{P}...; kw...)
d = Dict(kw)
layout = subplotlayout(length(plts)+1, get(d, :nr, -1), get(d, :nc, -1))
subplot(vcat(plt1, plts...), layout, d)
end
# explicit layout
function subplot{P,I<:Integer}(pltsPerRow::AVec{I}, plt1::Plot{P}, plts::Plot{P}...; kw...)
layout = subplotlayout(pltsPerRow)
subplot(vcat(plt1, plts...), layout, Dict(kw))
end
# this will be called internally
function subplot{P<:PlottingPackage}(plts::AVec{Plot{P}}, layout::SubplotLayout, d::Dict)
validateSubplotSupported()
p = length(layout)
n = sum([plt.n for plt in plts])
subplt = Subplot(nothing, collect(plts), P(), p, n, layout, Dict(), false, false, false, (r,c) -> (nothing,nothing))
_preprocess_subplot(subplt, d)
_postprocess_subplot(subplt, d)
subplt
end
# TODO: hcat/vcat subplots and plots together arbitrarily
# ------------------------------------------------------------------------------------------------
function _preprocess_subplot(subplt::Subplot, d::Dict, args = ())
validateSubplotSupported()
preprocessArgs!(d)
# for plotting recipes, swap out the args and update the parameter dictionary
args = _apply_recipe(d, args...; d..., issubplot=true)
dumpdict(d, "After subplot! preprocessing")
# get the full plotargs, overriding any new settings
# TODO: subplt.plotargs should probably be merged sooner and actually used
# for color selection, etc. (i.e. if we overwrite the subplot palettes to [:heat :rainbow])
# then we need to overwrite plt[1].plotargs[:color_palette] to :heat before it's actually used
# for color selection!
# first merge the new args into the subplot's plotargs. then process the plot args and merge
# those into the plot's plotargs. (example... `palette = [:blues :reds]` goes into subplt.plotargs,
# then the ColorGradient for :blues/:reds is merged into plot 1/2 plotargs, which is then used for color selection)
for i in 1:length(subplt.layout)
subplt.plts[i].plotargs = getPlotArgs(backend(), merge(subplt.plts[i].plotargs, d), i)
end
merge!(subplt.plotargs, d)
# process links. TODO: extract to separate function
for s in (:linkx, :linky, :linkfunc)
if haskey(d, s)
setfield!(subplt, s, d[s])
delete!(d, s)
end
end
args
end
function _postprocess_subplot(subplt::Subplot, d::Dict)
# init (after plot creation)
if !subplt.initialized
subplt.initialized = _create_subplot(subplt, false)
end
# add title, axis labels, ticks, etc
for (i,plt) in enumerate(subplt.plts)
di = plt.plotargs
dumpdict(di, "Updating sp $i")
_update_plot(plt, di)
end
_update_plot_pos_size(subplt, d)
# handle links
subplt.linkx && link_axis(subplt, true)
subplt.linky && link_axis(subplt, false)
# set this to be current
current(subplt)
end
# ------------------------------------------------------------------------------------------------
"""
Adds to a subplot.
"""
# current subplot
function subplot!(args...; kw...)
validateSubplotSupported()
subplot!(current(), args...; kw...)
end
# not allowed:
function subplot!(plt::Plot, args...; kw...)
error("Can't call subplot! on a Plot!")
end
# # this adds to a specific subplot... most plot commands will flow through here
function subplot!(subplt::Subplot, args...; kw...)
# validateSubplotSupported()
d = Dict(kw)
args = _preprocess_subplot(subplt, d, args)
# create the underlying object (each backend will do this differently)
# note: we call it once before doing the individual plots, and once after
# this is because some backends need to set up the subplots and then plot,
# and others need to do it the other way around
if !subplt.initialized
subplt.initialized = _create_subplot(subplt, true)
end
# handle grouping
group = get(d, :group, nothing)
if group == nothing
groupargs = []
else
groupargs = [extractGroupArgs(d[:group], args...)]
delete!(d, :group)
end
kwList, xmeta, ymeta = createKWargsList(subplt, groupargs..., args...; d...)
# TODO: something useful with meta info?
for (i,di) in enumerate(kwList)
subplt.n += 1
plt = getplot(subplt)
plt.n += 1
# cleanup the dictionary that we pass into the plot! command
di[:show] = false
di[:subplot] = true
for k in (:title, :xlabel, :xticks, :xlims, :xscale, :xflip,
:ylabel, :yticks, :ylims, :yscale, :yflip)
delete!(di, k)
end
dumpdict(di, "subplot! kwList $i")
dumpdict(plt.plotargs, "plt.plotargs before plotting")
_add_series_subplot(plt; di...)
end
_postprocess_subplot(subplt, d)
# show it automatically?
if haskey(d, :show) && d[:show]
gui()
end
subplt
end
function _add_series_subplot(plt::Plot, args...; kw...)
d = Dict(kw)
setTicksFromStringVector(d, d, :x, :xticks)
setTicksFromStringVector(d, d, :y, :yticks)
_add_series(plt.backend, plt; d...)
_add_annotations(plt, d)
warnOnUnsupportedScales(plt.backend, d)
end
# --------------------------------------------------------------------
function Base.copy(subplt::Subplot)
subplot(subplt.plts, subplt.layout, subplt.plotargs)
end
+47
View File
@@ -0,0 +1,47 @@
function Subplot{T<:AbstractBackend}(::T; parent = RootLayout())
Subplot{T}(
parent,
(20mm, 5mm, 2mm, 10mm),
defaultbox,
defaultbox,
KW(),
nothing,
nothing
)
end
plotarea(sp::Subplot) = sp.plotarea
plotarea!(sp::Subplot, bbox::BoundingBox) = (sp.plotarea = bbox)
Base.size(sp::Subplot) = (1,1)
Base.length(sp::Subplot) = 1
Base.getindex(sp::Subplot, r::Int, c::Int) = sp
leftpad(sp::Subplot) = sp.minpad[1]
toppad(sp::Subplot) = sp.minpad[2]
rightpad(sp::Subplot) = sp.minpad[3]
bottompad(sp::Subplot) = sp.minpad[4]
get_subplot(plt::Plot, sp::Subplot) = sp
get_subplot(plt::Plot, i::Integer) = plt.subplots[i]
get_subplot(plt::Plot, k) = plt.spmap[k]
get_subplot(series::Series) = series.d[:subplot]
get_subplot_index(plt::Plot, idx::Integer) = idx
get_subplot_index(plt::Plot, sp::Subplot) = findfirst(_ -> _ === sp, plt.subplots)
series_list(sp::Subplot) = filter(series -> series.d[:subplot] === sp, sp.plt.series_list)
function should_add_to_legend(series::Series)
series.d[:primary] && series.d[:label] != "" &&
!(series.d[:seriestype] in (
:hexbin,:histogram2d,:hline,:vline,
:contour,:contour3d,:surface,:wireframe,
:heatmap, :pie, :image
))
end
# ----------------------------------------------------------------------
+65
View File
@@ -0,0 +1,65 @@
const _invisible = RGBA(0,0,0,0)
const _themes = KW(
:default => KW(
:bg => :white,
:bglegend => :match,
:bginside => :match,
:bgoutside => :match,
:fg => :auto,
:fglegend => :match,
:fggrid => :match,
:fgaxis => :match,
:fgtext => :match,
:fgborder => :match,
:fgguide => :match,
)
)
function add_theme(sym::Symbol, theme::KW)
_themes[sym] = theme
end
# add a new theme, using an existing theme as the base
function add_theme(sym::Symbol;
base = :default, # start with this theme
bg = _themes[base][:bg],
bglegend = _themes[base][:bglegend],
bginside = _themes[base][:bginside],
bgoutside = _themes[base][:bgoutside],
fg = _themes[base][:fg],
fglegend = _themes[base][:fglegend],
fggrid = _themes[base][:fggrid],
fgaxis = _themes[base][:fgaxis],
fgtext = _themes[base][:fgtext],
fgborder = _themes[base][:fgborder],
fgguide = _themes[base][:fgguide],
kw...)
_themes[sym] = merge(KW(
:bg => bg,
:bglegend => bglegend,
:bginside => bginside,
:bgoutside => bgoutside,
:fg => fg,
:fglegend => fglegend,
:fggrid => fggrid,
:fgaxis => fgaxis,
:fgtext => fgtext,
:fgborder => fgborder,
:fgguide => fgguide,
), KW(kw))
end
add_theme(:ggplot2,
bglegend = _invisible,
bginside = :lightgray,
fg = :white,
fglegend = _invisible,
fgtext = :gray,
fgguide = :black
)
function set_theme(sym::Symbol)
default(; _themes[sym]...)
end
+76 -31
View File
@@ -1,49 +1,94 @@
# TODO: I declare lots of types here because of the lacking ability to do forward declarations in current Julia
# I should move these to the relevant files when something like "extern" is implemented
typealias AVec AbstractVector
typealias AMat AbstractMatrix
typealias KW Dict{Symbol,Any}
immutable PlotsDisplay <: Display end
abstract PlottingPackage
abstract PlottingObject{T<:PlottingPackage}
type Plot{T<:PlottingPackage} <: PlottingObject{T}
o # the underlying object
backend::T
n::Int # number of series
abstract AbstractBackend
abstract AbstractPlot{T<:AbstractBackend}
abstract AbstractLayout
# store these just in case
plotargs::Dict
seriesargs::Vector{Dict} # args for each series
# -----------------------------------------------------------
immutable InputWrapper{T}
obj::T
end
wrap{T}(obj::T) = InputWrapper{T}(obj)
Base.isempty(wrapper::InputWrapper) = false
# -----------------------------------------------------------
# a single subplot
type Subplot{T<:AbstractBackend} <: AbstractLayout
parent::AbstractLayout
minpad::Tuple # leftpad, toppad, rightpad, bottompad
bbox::BoundingBox # the canvas area which is available to this subplot
plotarea::BoundingBox # the part where the data goes
attr::KW # args specific to this subplot
o # can store backend-specific data... like a pyplot ax
plt # the enclosing Plot object (can't give it a type because of no forward declarations)
end
# -----------------------------------------------------------
abstract SubplotLayout
immutable GridLayout <: SubplotLayout
nr::Int
nc::Int
# simple wrapper around a KW so we can hold all attributes pertaining to the axis in one place
type Axis
sp::Subplot
d::KW
end
immutable FlexLayout <: SubplotLayout
numplts::Int
rowcounts::AbstractVector{Int}
type Extrema
emin::Float64
emax::Float64
end
Extrema() = Extrema(Inf, -Inf)
# -----------------------------------------------------------
typealias SubplotMap Dict{Any, Subplot}
# -----------------------------------------------------------
type Series
d::KW
end
attr(series::Series, k::Symbol) = series.d[k]
attr!(series::Series, v, k::Symbol) = (series.d[k] = v)
type Subplot{T<:PlottingPackage, L<:SubplotLayout} <: PlottingObject{T}
o # the underlying object
plts::Vector{Plot{T}} # the individual plots
backend::T
p::Int # number of plots
n::Int # number of series
layout::L
# plotargs::Vector{Dict}
plotargs::Dict
initialized::Bool
linkx::Bool
linky::Bool
linkfunc::Function # maps (row,column) -> (BoolOrNothing, BoolOrNothing)... if xlink/ylink are nothing, then use subplt.linkx/y
# -----------------------------------------------------------
type Plot{T<:AbstractBackend} <: AbstractPlot{T}
backend::T # the backend type
n::Int # number of series
attr::KW # arguments for the whole plot
user_attr::KW # raw arg inputs (after aliases). these are used as the input dict in `_plot!`
series_list::Vector{Series} # arguments for each series
o # the backend's plot object
subplots::Vector{Subplot}
spmap::SubplotMap # provide any label as a map to a subplot
layout::AbstractLayout
inset_subplots::Vector{Subplot} # list of inset subplots
init::Bool
end
function Plot()
Plot(backend(), 0, KW(), KW(), Series[], nothing,
Subplot[], SubplotMap(), EmptyLayout(),
Subplot[], false)
end
# TODO: make a decision... should plt[1] return the first subplot or the first series??
# Base.getindex(plt::Plot, i::Integer) = plt.subplots[i]
Base.getindex(plt::Plot, s::Symbol) = plt.spmap[s]
Base.getindex(plt::Plot, r::Integer, c::Integer) = plt.layout[r,c]
attr(plt::Plot, k::Symbol) = plt.attr[k]
attr!(plt::Plot, v, k::Symbol) = (plt.attr[k] = v)
# -----------------------------------------------------------------------
+424 -153
View File
@@ -19,13 +19,13 @@ A hacky replacement for a histogram when the backend doesn't support histograms
Convert it into a bar chart with the appropriate x/y values.
"""
function histogramHack(; kw...)
d = Dict(kw)
d = KW(kw)
# we assume that the y kwarg is set with the data to be binned, and nbins is also defined
edges, midpoints, buckets, counts = binData(d[:y], d[:nbins])
edges, midpoints, buckets, counts = binData(d[:y], d[:bins])
d[:x] = midpoints
d[:y] = float(counts)
d[:linetype] = :bar
d[:seriestype] = :bar
d[:fillrange] = d[:fillrange] == nothing ? 0.0 : d[:fillrange]
d
end
@@ -35,7 +35,7 @@ A hacky replacement for a bar graph when the backend doesn't support bars direct
Convert it into a line chart with fillrange set.
"""
function barHack(; kw...)
d = Dict(kw)
d = KW(kw)
midpoints = d[:x]
heights = d[:y]
fillrange = d[:fillrange] == nothing ? 0.0 : d[:fillrange]
@@ -64,7 +64,7 @@ function barHack(; kw...)
d[:x] = x
d[:y] = y
d[:linetype] = :path
d[:seriestype] = :path
d[:fillrange] = fillrange
d
end
@@ -75,7 +75,7 @@ A hacky replacement for a sticks graph when the backend doesn't support sticks d
Convert it into a line chart that traces the sticks, and a scatter that sets markers at the points.
"""
function sticksHack(; kw...)
dLine = Dict(kw)
dLine = KW(kw)
dScatter = copy(dLine)
# these are the line vertices
@@ -94,12 +94,12 @@ function sticksHack(; kw...)
# change the line args
dLine[:x] = x
dLine[:y] = y
dLine[:linetype] = :path
dLine[:seriestype] = :path
dLine[:markershape] = :none
dLine[:fillrange] = nothing
# change the scatter args
dScatter[:linetype] = :none
dScatter[:seriestype] = :none
dLine, dScatter
end
@@ -114,24 +114,111 @@ function regressionXY(x, y)
regx, regy
end
function replace_image_with_heatmap{T<:Colorant}(z::Array{T})
@show T, size(z)
n, m = size(z)
# idx = 0
colors = ColorGradient(vec(z))
newz = reshape(linspace(0, 1, n*m), n, m)
newz, colors
# newz = zeros(n, m)
# for i=1:n, j=1:m
# push!(colors, T(z[i,j]...))
# newz[i,j] = idx / (n*m-1)
# idx += 1
# end
# newz, ColorGradient(colors)
end
function imageHack(d::KW)
:heatmap in supported_types() || error("Neither :image or :heatmap are supported!")
d[:seriestype] = :heatmap
d[:z], d[:fillcolor] = replace_image_with_heatmap(d[:z].surf)
end
# ---------------------------------------------------------------
# -----------------------------------------------------
# helper to manage NaN-separated segments
type SegmentsIterator
args::Tuple
nextidx::Int
n::Int
end
function iter_segments(args...)
tup = Plots.wraptuple(args)
n = maximum(map(length, tup))
SegmentsIterator(tup, 0, n)
end
# helpers to figure out if there are NaN values in a list of array types
anynan(i::Int, args...) = any(a -> !isfinite(cycle(a,i)), args)
anynan(istart::Int, iend::Int, args...) = any(i -> anynan(i, args...), istart:iend)
allnan(istart::Int, iend::Int, args...) = all(i -> anynan(i, args...), istart:iend)
Base.start(itr::SegmentsIterator) = (itr.nextidx = 1) #resets
Base.done(itr::SegmentsIterator, unused::Int) = itr.nextidx > itr.n
function Base.next(itr::SegmentsIterator, unused::Int)
i = istart = iend = itr.nextidx
# find the next NaN, and iend is the one before
while i <= itr.n + 1
if i > itr.n || anynan(i, itr.args...)
# done... array end or found NaN
iend = i-1
break
end
i += 1
end
# find the next non-NaN, and set itr.nextidx
while i <= itr.n
if !anynan(i, itr.args...)
break
end
i += 1
end
itr.nextidx = i
istart:iend, 0
end
# ------------------------------------------------------------------------------------
nop() = nothing
notimpl() = error("This has not been implemented yet")
get_mod(v::AVec, idx::Int) = v[mod1(idx, length(v))]
get_mod(v::AMat, idx::Int) = size(v,1) == 1 ? v[1, mod1(idx, size(v,2))] : v[:, mod1(idx, size(v,2))]
get_mod(v, idx::Int) = v
Base.cycle(v::AVec, idx::Int) = v[mod1(idx, length(v))]
Base.cycle(v::AMat, idx::Int) = size(v,1) == 1 ? v[1, mod1(idx, size(v,2))] : v[:, mod1(idx, size(v,2))]
Base.cycle(v, idx::Int) = v
Base.cycle(v::AVec, indices::AVec{Int}) = map(i -> cycle(v,i), indices)
Base.cycle(v::AMat, indices::AVec{Int}) = map(i -> cycle(v,i), indices)
Base.cycle(v, idx::AVec{Int}) = v
makevec(v::AVec) = v
makevec{T}(v::T) = T[v]
"duplicate a single value, or pass the 2-tuple through"
maketuple(x::Real) = (x,x)
maketuple(x::Real) = (x,x)
maketuple{T,S}(x::@compat(Tuple{T,S})) = x
mapFuncOrFuncs(f::Function, u::AVec) = map(f, u)
mapFuncOrFuncs(fs::AVec{Function}, u::AVec) = [map(f, u) for f in fs]
unzip{T,S}(v::AVec{@compat(Tuple{T,S})}) = [vi[1] for vi in v], [vi[2] for vi in v]
unzip{X,Y}(xy::AVec{Tuple{X,Y}}) = [t[1] for t in xy], [t[2] for t in xy]
unzip{X,Y,Z}(xyz::AVec{Tuple{X,Y,Z}}) = [t[1] for t in xyz], [t[2] for t in xyz], [t[3] for t in xyz]
unzip{X,Y,U,V}(xyuv::AVec{Tuple{X,Y,U,V}}) = [t[1] for t in xyuv], [t[2] for t in xyuv], [t[3] for t in xyuv], [t[4] for t in xyuv]
unzip{T}(xy::AVec{FixedSizeArrays.Vec{2,T}}) = T[t[1] for t in xy], T[t[2] for t in xy]
unzip{T}(xy::FixedSizeArrays.Vec{2,T}) = T[xy[1]], T[xy[2]]
unzip{T}(xyz::AVec{FixedSizeArrays.Vec{3,T}}) = T[t[1] for t in xyz], T[t[2] for t in xyz], T[t[3] for t in xyz]
unzip{T}(xyz::FixedSizeArrays.Vec{3,T}) = T[xyz[1]], T[xyz[2]], T[xyz[3]]
unzip{T}(xyuv::AVec{FixedSizeArrays.Vec{4,T}}) = T[t[1] for t in xyuv], T[t[2] for t in xyuv], T[t[3] for t in xyuv], T[t[4] for t in xyuv]
unzip{T}(xyuv::FixedSizeArrays.Vec{4,T}) = T[xyuv[1]], T[xyuv[2]], T[xyuv[3]], T[xyuv[4]]
# given 2-element lims and a vector of data x, widen lims to account for the extrema of x
function _expand_limits(lims, x)
@@ -163,13 +250,20 @@ function replaceType(vec, val)
push!(vec, val)
end
function replaceAliases!(d::Dict, aliases::Dict)
function replaceAlias!(d::KW, k::Symbol, aliases::KW)
if haskey(aliases, k)
d[aliases[k]] = pop!(d, k)
end
end
function replaceAliases!(d::KW, aliases::KW)
ks = collect(keys(d))
for k in ks
if haskey(aliases, k)
d[aliases[k]] = d[k]
delete!(d, k)
end
replaceAlias!(d, k, aliases)
# if haskey(aliases, k)
# d[aliases[k]] = d[k]
# delete!(d, k)
# end
end
end
@@ -181,60 +275,199 @@ Base.first(x::Symbol) = x
sortedkeys(d::Dict) = sort(collect(keys(d)))
"create an (n+1) list of the outsides of heatmap rectangles"
function heatmap_edges(v::AVec)
vmin, vmax = extrema(v)
extra = 0.5 * (vmax-vmin) / (length(v)-1)
vcat(vmin-extra, 0.5 * (v[1:end-1] + v[2:end]), vmax+extra)
end
function calc_r_extrema(x, y)
xmin, xmax = extrema(x)
ymin, ymax = extrema(y)
r = 0.5 * min(xmax - xmin, ymax - ymin)
extrema(r)
end
function convert_to_polar(x, y, r_extrema = calc_r_extrema(x, y))
rmin, rmax = r_extrema
phi, r = x, y
r = 0.5 * (r - rmin) / (rmax - rmin)
n = max(length(phi), length(r))
x = zeros(n)
y = zeros(n)
for i in 1:n
x[i] = cycle(r,i) * cos(cycle(phi,i))
y[i] = cycle(r,i) * sin(cycle(phi,i))
end
x, y
end
function fakedata(sz...)
y = zeros(sz...)
for r in 2:size(y,1)
y[r,:] = 0.95 * y[r-1,:] + randn(size(y,2))'
y[r,:] = 0.95 * vec(y[r-1,:]) + randn(size(y,2))
end
y
end
isijulia() = isdefined(Main, :IJulia) && Main.IJulia.inited
isatom() = isdefined(Main, :Atom) && Main.Atom.isconnected()
function is_installed(pkgstr::AbstractString)
try
Pkg.installed(pkgstr) === nothing ? false: true
catch
false
end
end
istuple(::Tuple) = true
istuple(::Any) = false
istuple(::Any) = false
isvector(::AVec) = true
isvector(::Any) = false
isvector(::Any) = false
ismatrix(::AMat) = true
ismatrix(::Any) = false
ismatrix(::Any) = false
isscalar(::Real) = true
isscalar(::Any) = false
isscalar(::Any) = false
is_2tuple(v) = typeof(v) <: Tuple && length(v) == 2
isvertical(d::KW) = get(d, :orientation, :vertical) in (:vertical, :v, :vert)
# ticksType{T<:Real,S<:Real}(ticks::@compat(Tuple{T,S})) = :limits
ticksType{T<:Real}(ticks::AVec{T}) = :ticks
ticksType{T<:AVec,S<:AVec}(ticks::@compat(Tuple{T,S})) = :ticks_and_labels
ticksType(ticks) = :invalid
ticksType{T<:Real}(ticks::AVec{T}) = :ticks
ticksType{T<:AbstractString}(ticks::AVec{T}) = :labels
ticksType{T<:AVec,S<:AVec}(ticks::@compat(Tuple{T,S})) = :ticks_and_labels
ticksType(ticks) = :invalid
limsType{T<:Real,S<:Real}(lims::@compat(Tuple{T,S})) = :limits
limsType(lims::Symbol) = lims == :auto ? :auto : :invalid
limsType(lims) = :invalid
limsType{T<:Real,S<:Real}(lims::@compat(Tuple{T,S})) = :limits
limsType(lims::Symbol) = lims == :auto ? :auto : :invalid
limsType(lims) = :invalid
# axis_Symbol(letter, postfix) = Symbol(letter * postfix)
# axis_symbols(letter, postfix...) = map(s -> axis_Symbol(letter, s), postfix)
Base.convert{T<:Real}(::Type{Vector{T}}, rng::Range{T}) = T[x for x in rng]
Base.convert{T<:Real}(::Type{Vector{T}}, rng::Range{T}) = T[x for x in rng]
Base.convert{T<:Real,S<:Real}(::Type{Vector{T}}, rng::Range{S}) = T[x for x in rng]
Base.merge(a::AbstractVector, b::AbstractVector) = sort(unique(vcat(a,b)))
nanpush!(a::AbstractVector, b) = (push!(a, NaN); push!(a, b))
nanappend!(a::AbstractVector, b) = (push!(a, NaN); append!(a, b))
function nansplit(v::AVec)
vs = Vector{eltype(v)}[]
while true
idx = findfirst(isnan, v)
if idx <= 0
# no nans
push!(vs, v)
break
elseif idx > 1
push!(vs, v[1:idx-1])
end
v = v[idx+1:end]
end
vs
end
function nanvcat(vs::AVec)
v_out = zeros(0)
for v in vs
nanappend!(v_out, v)
end
v_out
end
# given an array of discrete values, turn it into an array of indices of the unique values
# returns the array of indices (znew) and a vector of unique values (vals)
function indices_and_unique_values(z::AbstractArray)
vals = sort(unique(z))
vmap = Dict([(v,i) for (i,v) in enumerate(vals)])
newz = map(zi -> vmap[zi], z)
newz, vals
end
# this is a helper function to determine whether we need to transpose a surface matrix.
# it depends on whether the backend matches rows to x (transpose_on_match == true) or vice versa
# for example: PyPlot sends rows to y, so transpose_on_match should be true
function transpose_z(d::KW, z, transpose_on_match::Bool = true)
if d[:match_dimensions] == transpose_on_match
z'
else
z
end
end
function ok(x::Number, y::Number, z::Number = 0)
isfinite(x) && isfinite(y) && isfinite(z)
end
ok(tup::Tuple) = ok(tup...)
# compute one side of a fill range from a ribbon
function make_fillrange_side(y, rib)
frs = zeros(length(y))
for (i, (yi, ri)) in enumerate(zip(y, cycle(rib)))
frs[i] = yi + ri
end
frs
end
# turn a ribbon into a fillrange
function make_fillrange_from_ribbon(kw::KW)
y, rib = kw[:y], kw[:ribbon]
rib = wraptuple(rib)
rib1, rib2 = -first(rib), last(rib)
kw[:ribbon] = nothing
kw[:fillrange] = make_fillrange_side(y, rib1), make_fillrange_side(y, rib2)
end
# ---------------------------------------------------------------
wraptuple(x::@compat(Tuple)) = x
wraptuple(x) = (x,)
trueOrAllTrue(f::Function, x::AbstractArray) = all(f, x)
trueOrAllTrue(f::Function, x) = f(x)
allLineTypes(arg) = trueOrAllTrue(a -> get(_typeAliases, a, a) in _allTypes, arg)
allStyles(arg) = trueOrAllTrue(a -> get(_styleAliases, a, a) in _allStyles, arg)
allShapes(arg) = trueOrAllTrue(a -> get(_markerAliases, a, a) in _allMarkers, arg) ||
trueOrAllTrue(a -> isa(a, Shape), arg)
allAlphas(arg) = trueOrAllTrue(a -> (typeof(a) <: Real && a > 0 && a < 1) ||
(typeof(a) <: AbstractFloat && (a == zero(typeof(a)) || a == one(typeof(a)))), arg)
allReals(arg) = trueOrAllTrue(a -> typeof(a) <: Real, arg)
allFunctions(arg) = trueOrAllTrue(a -> isa(a, Function), arg)
# ---------------------------------------------------------------
# ---------------------------------------------------------------
"""
Allows temporary setting of backend and defaults for Plots. Settings apply only for the `do` block. Example:
```
with(:gadfly, size=(400,400), type=:hist) do
with(:gadfly, size=(400,400), type=:histogram) do
plot(rand(10))
plot(rand(10))
end
```
"""
function with(f::Function, args...; kw...)
newdefs = KW(kw)
if :canvas in args
newdefs[:xticks] = nothing
newdefs[:yticks] = nothing
newdefs[:grid] = false
newdefs[:legend] = false
end
# dict to store old and new keyword args for anything that changes
newdefs = Dict(kw)
olddefs = Dict()
olddefs = KW()
for k in keys(newdefs)
olddefs[k] = default(k)
end
@@ -256,7 +489,7 @@ function with(f::Function, args...; kw...)
# # as in: with(:gadfly, :scatter, :legend, :grid) do; ...; end
# # TODO: can we generalize this enough to also do something similar in the plot commands??
# k = :linetype
# k = :seriestype
# if arg in _allTypes
# olddefs[k] = default(k)
# newdefs[k] = arg
@@ -299,6 +532,7 @@ function with(f::Function, args...; kw...)
ret
end
# ---------------------------------------------------------------
# ---------------------------------------------------------------
type DebugMode
@@ -313,7 +547,7 @@ end
debugshow(x) = show(x)
debugshow(x::AbstractArray) = print(summary(x))
function dumpdict(d::Dict, prefix = "", alwaysshow = false)
function dumpdict(d::KW, prefix = "", alwaysshow = false)
_debugMode.on || alwaysshow || return
println()
if prefix != ""
@@ -326,6 +560,7 @@ function dumpdict(d::Dict, prefix = "", alwaysshow = false)
end
println()
end
DD(d::KW, prefix = "") = dumpdict(d, prefix, true)
function dumpcallstack()
@@ -333,143 +568,179 @@ function dumpcallstack()
end
# ---------------------------------------------------------------
# push/append/clear/set the underlying plot data
# NOTE: backends should implement the getindex and setindex! methods to get/set the x/y data objects
# index versions
function Base.push!(plt::Plot, i::Integer, x::Real, y::Real)
xdata, ydata = plt[i]
plt[i] = (extendSeriesData(xdata, x), extendSeriesData(ydata, y))
plt
end
function Base.push!(plt::Plot, i::Integer, y::Real)
xdata, ydata = plt[i]
# if !isa(xdata, UnitRange)
# error("Expected x is a UnitRange since you're trying to push a y value only. typeof(x) = $(typeof(xdata))")
# end
plt[i] = (extendSeriesByOne(xdata), extendSeriesData(ydata, y))
plt
end
Base.push!(plt::Plot, y::Real) = push!(plt, 1, y)
# update all at once
function Base.push!(plt::Plot, x::AVec, y::AVec)
nx = length(x)
ny = length(y)
for i in 1:plt.n
push!(plt, i, x[mod1(i,nx)], y[mod1(i,ny)])
end
plt
end
function Base.push!(plt::Plot, x::Real, y::AVec)
push!(plt, [x], y)
end
function Base.push!(plt::Plot, y::AVec)
ny = length(y)
for i in 1:plt.n
push!(plt, i, y[mod1(i,ny)])
end
plt
end
# append to index
function Base.append!(plt::Plot, i::Integer, x::AVec, y::AVec)
@assert length(x) == length(y)
xdata, ydata = plt[i]
plt[i] = (extendSeriesData(xdata, x), extendSeriesData(ydata, y))
plt
end
function Base.append!(plt::Plot, i::Integer, y::AVec)
xdata, ydata = plt[i]
if !isa(xdata, UnitRange{Int})
error("Expected x is a UnitRange since you're trying to push a y value only")
end
plt[i] = (extendSeriesByOne(xdata, length(y)), extendSeriesData(ydata, y))
plt
end
# ---------------------------------------------------------------
# used in updating an existing series
extendSeriesByOne(v::UnitRange{Int}, n::Int = 1) = isempty(v) ? (1:n) : (minimum(v):maximum(v)+n)
extendSeriesByOne(v::AVec, n::Integer = 1) = isempty(v) ? (1:n) : vcat(v, (1:n) + maximum(v))
extendSeriesData{T}(v::Range{T}, z::Real) = extendSeriesData(float(collect(v)), z)
extendSeriesData{T}(v::Range{T}, z::AVec) = extendSeriesData(float(collect(v)), z)
extendSeriesData{T}(v::AVec{T}, z::Real) = (push!(v, convert(T, z)); v)
extendSeriesData{T}(v::AVec{T}, z::AVec) = (append!(v, convert(Vector{T}, z)); v)
extendSeriesByOne(v::AVec, n::Integer = 1) = isempty(v) ? (1:n) : vcat(v, (1:n) + maximum(v))
extendSeriesData{T}(v::Range{T}, z::Real) = extendSeriesData(float(collect(v)), z)
extendSeriesData{T}(v::Range{T}, z::AVec) = extendSeriesData(float(collect(v)), z)
extendSeriesData{T}(v::AVec{T}, z::Real) = (push!(v, convert(T, z)); v)
extendSeriesData{T}(v::AVec{T}, z::AVec) = (append!(v, convert(Vector{T}, z)); v)
# ---------------------------------------------------------------
# -------------------------------------------------------
# NOTE: backends should implement the following methods to get/set the x/y/z data objects
function supportGraph(allvals, func)
vals = reverse(sort(allvals))
bs = sort(backends())
x = ASCIIString[]
y = ASCIIString[]
for val in vals
for b in bs
supported = func(Plots._backend_instance(b))
if val in supported
push!(x, string(b))
push!(y, string(val))
end
end
end
n = length(vals)
tovec(v::AbstractVector) = v
tovec(v::Void) = zeros(0)
scatter(x,y,
m=:rect,
ms=10,
size=(300,100+18*n),
# xticks=(collect(1:length(bs)), bs),
leg=false
)
function getxy(plt::Plot, i::Integer)
d = plt.series_list[i].d
tovec(d[:x]), tovec(d[:y])
end
function getxyz(plt::Plot, i::Integer)
d = plt.series_list[i].d
tovec(d[:x]), tovec(d[:y]), tovec(d[:z])
end
supportGraphArgs() = supportGraph(_allArgs, supportedArgs)
supportGraphTypes() = supportGraph(_allTypes, supportedTypes)
supportGraphStyles() = supportGraph(_allStyles, supportedStyles)
supportGraphMarkers() = supportGraph(_allMarkers, supportedMarkers)
supportGraphScales() = supportGraph(_allScales, supportedScales)
supportGraphAxes() = supportGraph(_allAxes, supportedAxes)
function dumpSupportGraphs()
for func in (supportGraphArgs, supportGraphTypes, supportGraphStyles,
supportGraphMarkers, supportGraphScales, supportGraphAxes)
plt = func()
png(joinpath(Pkg.dir("ExamplePlots"), "docs", "examples", "img", "supported", "$(string(func))"))
end
function setxy!{X,Y}(plt::Plot, xy::Tuple{X,Y}, i::Integer)
series = plt.series_list[i]
series.d[:x], series.d[:y] = xy
sp = series.d[:subplot]
expand_extrema!(sp.attr[:xaxis], xy[1])
expand_extrema!(sp.attr[:yaxis], xy[2])
_series_updated(plt, series)
end
function setxyz!{X,Y,Z}(plt::Plot, xyz::Tuple{X,Y,Z}, i::Integer)
series = plt.series_list[i]
series.d[:x], series.d[:y], series.d[:z] = xyz
sp = series.d[:subplot]
expand_extrema!(sp.attr[:xaxis], xyz[1])
expand_extrema!(sp.attr[:yaxis], xyz[2])
expand_extrema!(sp.attr[:zaxis], xyz[3])
_series_updated(plt, series)
end
# -------------------------------------------------------
# indexing notation
Base.getindex(plt::Plot, i::Integer) = getxy(plt, i)
Base.setindex!{X,Y}(plt::Plot, xy::Tuple{X,Y}, i::Integer) = setxy!(plt, xy, i)
Base.setindex!{X,Y,Z}(plt::Plot, xyz::Tuple{X,Y,Z}, i::Integer) = setxyz!(plt, xyz, i)
# -------------------------------------------------------
# push/append for one series
# push value to first series
Base.push!(plt::Plot, y::Real) = push!(plt, 1, y)
Base.push!(plt::Plot, x::Real, y::Real) = push!(plt, 1, x, y)
Base.push!(plt::Plot, x::Real, y::Real, z::Real) = push!(plt, 1, x, y, z)
# y only
function Base.push!(plt::Plot, i::Integer, y::Real)
xdata, ydata = getxy(plt, i)
setxy!(plt, (extendSeriesByOne(xdata), extendSeriesData(ydata, y)), i)
plt
end
function Base.append!(plt::Plot, i::Integer, y::AVec)
xdata, ydata = plt[i]
if !isa(xdata, UnitRange{Int})
error("Expected x is a UnitRange since you're trying to push a y value only")
end
plt[i] = (extendSeriesByOne(xdata, length(y)), extendSeriesData(ydata, y))
plt
end
# x and y
function Base.push!(plt::Plot, i::Integer, x::Real, y::Real)
xdata, ydata = getxy(plt, i)
setxy!(plt, (extendSeriesData(xdata, x), extendSeriesData(ydata, y)), i)
plt
end
function Base.append!(plt::Plot, i::Integer, x::AVec, y::AVec)
@assert length(x) == length(y)
xdata, ydata = getxy(plt, i)
setxy!(plt, (extendSeriesData(xdata, x), extendSeriesData(ydata, y)), i)
plt
end
# x, y, and z
function Base.push!(plt::Plot, i::Integer, x::Real, y::Real, z::Real)
# @show i, x, y, z
xdata, ydata, zdata = getxyz(plt, i)
# @show xdata, ydata, zdata
setxyz!(plt, (extendSeriesData(xdata, x), extendSeriesData(ydata, y), extendSeriesData(zdata, z)), i)
plt
end
function Base.append!(plt::Plot, i::Integer, x::AVec, y::AVec, z::AVec)
@assert length(x) == length(y) == length(z)
xdata, ydata, zdata = getxyz(plt, i)
setxyz!(plt, (extendSeriesData(xdata, x), extendSeriesData(ydata, y), extendSeriesData(zdata, z)), i)
plt
end
# tuples
Base.push!{X,Y}(plt::Plot, xy::Tuple{X,Y}) = push!(plt, 1, xy...)
Base.push!{X,Y,Z}(plt::Plot, xyz::Tuple{X,Y,Z}) = push!(plt, 1, xyz...)
Base.push!{X,Y}(plt::Plot, i::Integer, xy::Tuple{X,Y}) = push!(plt, i, xy...)
Base.push!{X,Y,Z}(plt::Plot, i::Integer, xyz::Tuple{X,Y,Z}) = push!(plt, i, xyz...)
# -------------------------------------------------------
# push/append for all series
# push y[i] to the ith series
function Base.push!(plt::Plot, y::AVec)
ny = length(y)
for i in 1:plt.n
push!(plt, i, y[mod1(i,ny)])
end
plt
end
# push y[i] to the ith series
# same x for each series
function Base.push!(plt::Plot, x::Real, y::AVec)
push!(plt, [x], y)
end
# push (x[i], y[i]) to the ith series
function Base.push!(plt::Plot, x::AVec, y::AVec)
nx = length(x)
ny = length(y)
for i in 1:plt.n
push!(plt, i, x[mod1(i,nx)], y[mod1(i,ny)])
end
plt
end
# push (x[i], y[i], z[i]) to the ith series
function Base.push!(plt::Plot, x::AVec, y::AVec, z::AVec)
nx = length(x)
ny = length(y)
nz = length(z)
for i in 1:plt.n
push!(plt, i, x[mod1(i,nx)], y[mod1(i,ny)], z[mod1(i,nz)])
end
plt
end
# ---------------------------------------------------------------
# Some conversion functions
# note: I borrowed these conversion constants from Compose.jl's Measure
const PX_PER_INCH = 100
const DPI = PX_PER_INCH
const MM_PER_INCH = 25.4
const MM_PER_PX = MM_PER_INCH / PX_PER_INCH
inch2px(inches::Real) = float(inches * PX_PER_INCH)
px2inch(px::Real) = float(px / PX_PER_INCH)
inch2mm(inches::Real) = float(inches * MM_PER_INCH)
mm2inch(mm::Real) = float(mm / MM_PER_INCH)
px2mm(px::Real) = float(px * MM_PER_PX)
mm2px(mm::Real) = float(px / MM_PER_PX)
const PX_PER_INCH = 100
const DPI = PX_PER_INCH
const MM_PER_INCH = 25.4
const MM_PER_PX = MM_PER_INCH / PX_PER_INCH
inch2px(inches::Real) = float(inches * PX_PER_INCH)
px2inch(px::Real) = float(px / PX_PER_INCH)
inch2mm(inches::Real) = float(inches * MM_PER_INCH)
mm2inch(mm::Real) = float(mm / MM_PER_INCH)
px2mm(px::Real) = float(px * MM_PER_PX)
mm2px(mm::Real) = float(px / MM_PER_PX)
"Smallest x in plot"
xmin(plt::Plot) = minimum([minimum(d[:x]) for d in plt.seriesargs])
xmin(plt::Plot) = minimum([minimum(series.d[:x]) for series in plt.series_list])
"Largest x in plot"
xmax(plt::Plot) = maximum([maximum(d[:x]) for d in plt.seriesargs])
xmax(plt::Plot) = maximum([maximum(series.d[:x]) for series in plt.series_list])
"Extrema of x-values in plot"
Base.extrema(plt::Plot) = (xmin(plt), xmax(plt))
Base.extrema(plt::Plot) = (xmin(plt), xmax(plt))

Some files were not shown because too many files have changed in this diff Show More