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61 Commits

Author SHA1 Message Date
SimonDanisch 5b6d7d10d4 use correct revision 2019-01-31 18:50:20 +01:00
SimonDanisch 71cf37cc16 use name 2019-01-31 18:27:54 +01:00
Michael Krabbe Borregaard f905cb9577 Merge pull request #1829 from oschulz/faster-load
Reduce load time for Plots and GR backend
2019-01-28 14:24:23 +01:00
Oliver Schulz b9b6439f47 Clean up backend default handling 2019-01-25 17:18:44 +01:00
Oliver Schulz ffcdf986a3 Set explicit return type for function _backend_instance
Inferred return type is Any, otherwise, not AbstractBackend.
2019-01-25 17:18:44 +01:00
Oliver Schulz 43245b5eb5 Clean up backend-related global vars and related functions 2019-01-25 17:18:44 +01:00
Oliver Schulz 420228c67b Remove function add_backend
No longer in use.
2019-01-25 17:18:44 +01:00
Oliver Schulz f1719d6e91 Improve implementation of backend(pkg::AbstractBackend) 2019-01-25 17:05:43 +01:00
Oliver Schulz 9aa1fd5c00 macro init_backend can call backend() with backend instance 2019-01-25 17:05:43 +01:00
Oliver Schulz 141845aa40 _initialize_backend doesn't need to do anything for PlotlyBackend 2019-01-25 17:05:43 +01:00
Oliver Schulz 7867df6079 _initialize_backend doesn't need to do anything for GRBackend 2019-01-25 17:05:43 +01:00
Oliver Schulz 182b937143 Refactor __init__() to make Plots load faster 2019-01-25 17:05:43 +01:00
Michael Krabbe Borregaard 399a9b16f6 StatPlots --> StatsPlots 2019-01-24 23:24:17 +01:00
Michael Krabbe Borregaard 42aa7d8d55 Merge pull request #1901 from mkborregaard/clamp
Inplace clamp
2019-01-23 22:36:00 +01:00
Michael Krabbe Borregaard 8778119792 Inplace clamp 2019-01-23 22:35:13 +01:00
Michael Krabbe Borregaard 10e3f2c990 Merge pull request #1900 from mkborregaard/clamp
WIP clamp greyscale images to (0,1)
2019-01-23 21:05:09 +01:00
Michael Krabbe Borregaard 5e25989366 copy and clamp for greyscale images if outside (0,1) 2019-01-23 21:04:27 +01:00
Michael Krabbe Borregaard f12d328cf7 clamp image for backends not supporting image
Does not work for GR or PyPlot which are supposed to support images natively
2019-01-23 21:04:27 +01:00
Daniel Schwabeneder efc4917724 Merge pull request #1769 from djsegal/djsegal/scatter
Allow vectors of markers for pyplot scatter
2019-01-23 19:21:05 +01:00
Daniel Schwabeneder c2bf145ff5 Merge pull request #1895 from sswatson/fontargs
Support keyword arguments for font options
2019-01-23 19:05:39 +01:00
djsegal c8c82811b3 Fix bug where pyplot marker vec added blank legend 2019-01-22 15:07:21 -05:00
Daniel Schwabeneder c21e133e69 Merge pull request #1899 from daschw/pyplot-image
fix grayscale image in pyplot
2019-01-22 13:55:43 +01:00
Daniel Schwabeneder 789a7fbb88 fix grayscale image in pyplot 2019-01-22 13:00:56 +01:00
Samuel S. Watson 888ed9f0ae Support keyword arguments for font attributes 2019-01-16 13:04:31 -05:00
Michael Krabbe Borregaard 57da253fa8 Merge pull request #1894 from sswatson/fontrotationfix
Fix annotation font rotation in PyPlot backend
2019-01-16 19:02:54 +01:00
Samuel S. Watson 44a6707397 Fix annotation font rotation 2019-01-16 10:28:46 -05:00
Samuel S. Watson f0a3ca4314 Merge remote-tracking branch 'upstream/master' 2019-01-16 09:44:03 -05:00
Michael Krabbe Borregaard 9bbd52dcc2 Merge pull request #1893 from JuliaPlots/doc_pr
rebased docpr from sswatson
2019-01-16 15:08:37 +01:00
Samuel S. Watson f50862ac51 Remove blank lines 2019-01-16 15:04:01 +01:00
Samuel S. Watson 017bed1a07 Remove xydoc and xyzdoc 2019-01-16 15:04:01 +01:00
Iblis Lin 3765d5f549 change contour example
Co-Authored-By: sswatson <samuel.s.watson@gmail.com>
2019-01-16 15:04:01 +01:00
Iblis Lin dd28159564 remove rand from example
Co-Authored-By: sswatson <samuel.s.watson@gmail.com>
2019-01-16 15:04:01 +01:00
Samuel S. Watson 63cdf9f8e7 Add shorthands.jl 2019-01-16 15:04:01 +01:00
Samuel S. Watson e30889aa12 document @shorthands functions 2019-01-16 15:04:01 +01:00
Samuel S. Watson b7caec1bfe Remove blank lines 2019-01-16 08:43:43 -05:00
Samuel S. Watson 660786b99c Merge branch 'master' of https://github.com/sswatson/Plots.jl 2019-01-16 08:41:02 -05:00
Samuel S. Watson b060576209 Remove xydoc and xyzdoc 2019-01-16 08:40:25 -05:00
Michael Krabbe Borregaard 7b3826c2d5 Merge pull request #1448 from OliverEvans96/gif_cache
Remove cache-busting from gif animation. Should be done by the frontend.
2019-01-16 09:30:39 +01:00
Michael Krabbe Borregaard 51d4416b00 Merge pull request #1891 from mkborregaard/master
filter infinite values in histograms too
2019-01-14 23:09:59 +01:00
Michael Krabbe Borregaard cfe6103f48 filter infinite values in histograms too 2019-01-14 23:08:50 +01:00
Michael Krabbe Borregaard bee8230079 Merge pull request #1889 from mkborregaard/master
fix histograms with NaN; close #1212
2019-01-14 11:45:04 +01:00
Michael Krabbe Borregaard 3d77c59c92 don't rebind vs 2019-01-14 11:44:42 +01:00
Michael Krabbe Borregaard 667ed161c0 move filtering to makebins 2019-01-14 10:36:08 +01:00
Michael Krabbe Borregaard 979f9495f1 add faster method for 1-d histogram 2019-01-14 00:04:01 +01:00
Michael Krabbe Borregaard d29a44efa7 fix histograms with NaN 2019-01-13 12:45:24 +01:00
Michael Krabbe Borregaard 7750003033 Merge pull request #1885 from sglyon/sl/plotlyjs-fix
Sl/plotlyjs fix
2019-01-11 19:52:02 +01:00
Iblis Lin e673339dc4 change contour example
Co-Authored-By: sswatson <samuel.s.watson@gmail.com>
2019-01-10 08:46:38 -05:00
Iblis Lin b20b47f8eb remove rand from example
Co-Authored-By: sswatson <samuel.s.watson@gmail.com>
2019-01-10 08:44:41 -05:00
Samuel S. Watson 689e437bac Add shorthands.jl 2019-01-08 18:10:48 -05:00
Samuel S. Watson e6bb17dc86 document @shorthands functions 2019-01-08 17:55:52 -05:00
Spencer Lyon 80a97b0f26 ENH: use PlotlyJS.savefig(::IO, ...) methods instead of former plotlyjs_save_hack hack 2019-01-08 14:04:33 -05:00
Spencer Lyon ffea050bc2 ENH: don't special case html display for jupyter 2019-01-08 14:04:03 -05:00
Josef Heinen 8951526d0d Set minimum GR version 2019-01-07 13:26:08 +01:00
Michael Krabbe Borregaard 3e799fbe21 Merge pull request #1880 from jheinen/master
Added support for discrete contour plots
2019-01-06 11:30:33 +01:00
Josef Heinen 53e27dbc38 Added support for discrete contour plots 2019-01-06 11:24:45 +01:00
djsegal 268c2861c9 Fix off-by-one error in pyplot scatter building 2018-10-04 17:29:37 -04:00
djsegal 15739bc0ee Allow vectors of markers for pyplot scatter 2018-10-04 17:20:14 -04:00
Daniel Schwabeneder c2e8b5a1fa Merge pull request #1611 from daschw/pyplot-thickness
Fix pyplot thickness and 0.6 backports release
2018-07-26 17:03:48 +02:00
Oliver Evans 1a67ca897c Remove cache-busting from gif animation. Should be done by the frontend. 2018-03-21 12:25:06 -04:00
Michael Krabbe Borregaard d1980ef978 Merge pull request #775 from JonathanAnderson/julia0.6
Update gr.jl in v0.6 so inline plots work
2017-05-08 10:07:40 +02:00
Jonathan Anderson b3db49b4ae Update gr.jl in v0.6 so inline plots work
I wanted to switch from using GR directly to using Plots, but the inline plots were not working for me. The following change is sufficient to generate inline plots in iterm for me.

See the method in GR.jl:
https://github.com/jheinen/GR.jl/blob/0f167b2be921a0014c405f760a1e1bc22b222751/src/GR.jl#L3014

julia> versioninfo()
Julia Version 0.6.0-pre.beta.187
Commit 55c97fb* (2017-04-17 23:06 UTC)
Platform Info:
OS: Linux (x86_64-redhat-linux)
CPU: Intel(R) Xeon(R) CPU E5-2670 v3 @ 2.30GHz
WORD_SIZE: 64
BLAS: libopenblas (USE64BITINT DYNAMIC_ARCH NO_AFFINITY Haswell)
LAPACK: libopenblas64_
LIBM: libopenlibm
LLVM: libLLVM-3.9.1 (ORCJIT, haswell)


julia> using TerminalExtensions
julia> using Plots
julia> gr(display_type=:inline);
julia> z=[sin(sqrt(x^2+y^2)) for x in linspace(-2π,2π,50), y in linspace(-2π,2π,50)];
julia> contour(z)
2017-04-18 10:39:50 -05:00
22 changed files with 824 additions and 358 deletions
+4 -4
View File
@@ -182,7 +182,7 @@ Many updates, min julia 1.0
- add `reset_defaults()` function to reset plot defaults
- update syntax to 0.6
- make `fill = true` fill to 0 rather than to 1
- use new `@df` syntax in StatPlots examples
- use new `@df` syntax in StatsPlots examples
- allow changing the color of legend box
- implement `title_location` for gr
- add `hline` marker to pgfplots - fixes errorbars
@@ -334,7 +334,7 @@ Many updates, min julia 1.0
- added dependency on PlotThemes
- set_theme --> theme
- remove Compat from REQUIRE
- warning for DataFrames without StatPlots
- warning for DataFrames without StatsPlots
- closeall exported and implemented for gr/pyplot
- fix DateTime recipe
- reset theme with theme(:none)
@@ -456,8 +456,8 @@ Many updates, min julia 1.0
#### 0.8.0
- added dependency on PlotUtils
- BREAKING: removed DataFrames support (now in StatPlots.jl)
- BREAKING: removed boxplot/violin/density recipes (now in StatPlots.jl)
- BREAKING: removed DataFrames support (now in StatsPlots.jl)
- BREAKING: removed boxplot/violin/density recipes (now in StatsPlots.jl)
- GR:
- inline iterm2 support
- trisurface support
+1 -1
View File
@@ -13,4 +13,4 @@ JSON
NaNMath
Requires
Contour
GR 0.35.0
GR 0.37.0
+3 -92
View File
@@ -84,7 +84,6 @@ export
backends,
backend_name,
backend_object,
add_backend,
aliases,
Shape,
@@ -180,103 +179,15 @@ include("arg_desc.jl")
include("plotattr.jl")
include("backends.jl")
include("output.jl")
include("ijulia.jl")
include("fileio.jl")
include("init.jl")
include("backends/plotly.jl")
include("backends/gr.jl")
include("backends/web.jl")
# ---------------------------------------------------------
@shorthands scatter
@shorthands bar
@shorthands barh
@shorthands histogram
@shorthands barhist
@shorthands stephist
@shorthands scatterhist
@shorthands histogram2d
@shorthands density
@shorthands heatmap
@shorthands plots_heatmap
@shorthands hexbin
@shorthands sticks
@shorthands hline
@shorthands vline
@shorthands hspan
@shorthands vspan
@shorthands ohlc
@shorthands contour
@shorthands contourf
@shorthands contour3d
@shorthands surface
@shorthands wireframe
@shorthands path3d
@shorthands scatter3d
@shorthands boxplot
@shorthands violin
@shorthands quiver
@shorthands curves
"Plot a pie diagram"
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)
"Plot with seriestype :path3d"
plot3d(args...; kw...) = plot(args...; kw..., seriestype = :path3d)
plot3d!(args...; kw...) = plot!(args...; kw..., seriestype = :path3d)
"Add title to an existing plot"
title!(s::AbstractString; kw...) = plot!(; title = s, kw...)
"Add xlabel to an existing plot"
xlabel!(s::AbstractString; kw...) = plot!(; xlabel = s, kw...)
"Add ylabel to an existing plot"
ylabel!(s::AbstractString; kw...) = plot!(; ylabel = s, kw...)
"Set xlims for an existing plot"
xlims!(lims::Tuple{T,S}; kw...) where {T<:Real,S<:Real} = plot!(; xlims = lims, kw...)
"Set ylims for an existing plot"
ylims!(lims::Tuple{T,S}; kw...) where {T<:Real,S<:Real} = plot!(; ylims = lims, kw...)
"Set zlims for an existing plot"
zlims!(lims::Tuple{T,S}; kw...) where {T<:Real,S<:Real} = 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...)
"Set xticks for an existing plot"
xticks!(v::TicksArgs; kw...) where {T<:Real} = plot!(; xticks = v, kw...)
"Set yticks for an existing plot"
yticks!(v::TicksArgs; kw...) where {T<:Real} = plot!(; yticks = v, kw...)
xticks!(
ticks::AVec{T}, labels::AVec{S}; kw...) where {T<:Real,S<:AbstractString} = plot!(; xticks = (ticks,labels), kw...)
yticks!(
ticks::AVec{T}, labels::AVec{S}; kw...) where {T<:Real,S<:AbstractString} = plot!(; yticks = (ticks,labels), kw...)
"Add annotations to an existing plot"
annotate!(anns...; kw...) = plot!(; annotation = anns, kw...)
annotate!(anns::AVec{T}; kw...) where {T<:Tuple} = plot!(; annotation = anns, kw...)
"Flip the current plots' x axis"
xflip!(flip::Bool = true; kw...) = plot!(; xflip = flip, kw...)
"Flip the current plots' y axis"
yflip!(flip::Bool = true; kw...) = plot!(; yflip = flip, kw...)
"Specify x axis attributes for an existing plot"
xaxis!(args...; kw...) = plot!(; xaxis = args, kw...)
"Specify x axis attributes for an existing plot"
yaxis!(args...; kw...) = plot!(; yaxis = args, kw...)
xgrid!(args...; kw...) = plot!(; xgrid = args, kw...)
ygrid!(args...; kw...) = plot!(; ygrid = args, kw...)
include("shorthands.jl")
let PlotOrSubplot = Union{Plot, Subplot}
global title!(plt::PlotOrSubplot, s::AbstractString; kw...) = plot!(plt; title = s, kw...)
+3 -3
View File
@@ -93,13 +93,13 @@ end
# write out html to view the gif... note the rand call which is a hack so the image doesn't get cached
# write out html to view the gif
function Base.show(io::IO, ::MIME"text/html", agif::AnimatedGif)
ext = file_extension(agif.filename)
write(io, if ext == "gif"
"<img src=\"$(relpath(agif.filename))?$(rand())>\" />"
"<img src=\"$(relpath(agif.filename))\" />"
elseif ext in ("mov", "mp4")
"<video controls><source src=\"$(relpath(agif.filename))?$(rand())>\" type=\"video/$ext\"></video>"
"<video controls><source src=\"$(relpath(agif.filename)) type=\"video/$ext\"></video>"
else
error("Cannot show animation with extension $ext: $agif")
end)
+24 -24
View File
@@ -2,7 +2,7 @@
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.",
: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.",
@@ -10,7 +10,7 @@ const _arg_desc = KW(
: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.",
:fillrange => "Number or AbstractVector. Fills area between fillrange and 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).",
@@ -21,7 +21,7 @@ const _arg_desc = KW(
: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 `:foreground_color_subplot`.",
: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 or Symbol. Default is :auto (the Freedman-Diaconis rule). For histogram-types, defines the approximate number of bins to aim for, or the auto-binning algorithm to use (:sturges, :sqrt, :rice, :scott or :fd). For fine-grained control pass a Vector of break values, e.g. `range(min(x), stop = extrema(x), length = 25)`",
:bins => "Integer, NTuple{2,Integer}, AbstractVector or Symbol. Default is :auto (the Freedman-Diaconis rule). For histogram-types, defines the approximate number of bins to aim for, or the auto-binning algorithm to use (:sturges, :sqrt, :rice, :scott or :fd). For fine-grained control pass a Vector of break values, e.g. `range(minimum(x), stop = maximum(x), length = 25)`",
: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",
@@ -29,13 +29,13 @@ const _arg_desc = KW(
: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 Function `f(x,y) -> 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 Function `f(x,y) -> 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).",
:fill_z => "Matrix{Float64} of the same size as z matrix, which specifies the color of the 3D surface; the default value is `nothing`.",
:levels => "Integer, NTuple{2,Integer}. Number of levels (or x-levels/y-levels) for a contour type.",
:fill_z => "Matrix{Float64} of the same size as z matrix, which specifies the color of the 3D surface; the default value is `nothing`.",
:levels => "Integer, NTuple{2,Integer}, or AbstractVector. Levels or 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)",
: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.",
@@ -43,12 +43,12 @@ const _arg_desc = KW(
:normalize => "Bool or Symbol. Histogram normalization mode. Possible values are: false/:none (no normalization, default), true/:pdf (normalize to a discrete Probability Density Function, where the total area of the bins is 1), :probability (bin heights sum to 1) and :density (the area of each bin, rather than the height, is equal to the counts - useful for uneven bin sizes).",
:weights => "AbstractVector. Used in histogram types for weighted counts.",
:contours => "Bool. Add contours to the side-grids of 3D plots? Used in surface/wireframe.",
:contour_labels => "Bool. Show labels at the contour lines?",
:contour_labels => "Bool. Show labels at the contour lines?",
: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.",
: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)",
@@ -63,11 +63,11 @@ const _arg_desc = KW(
: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",
:dpi => "Number. Dots Per Inch of output figures",
: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",
:dpi => "Number. Dots Per Inch of output figures",
:thickness_scaling => "Number. Scale for the thickness of all line elements like lines, borders, axes, grid lines, ... defaults to 1.",
:display_type => "Symbol (`:auto`, `:gui`, or `:inline`). When supported, `display` will either open a GUI window or plot inline.",
:extra_kwargs => "KW (Dict{Symbol,Any}). Pass a map of extra keyword args which may be specific to a backend.",
:display_type => "Symbol (`:auto`, `:gui`, or `:inline`). When supported, `display` will either open a GUI window or plot inline.",
:extra_kwargs => "KW (Dict{Symbol,Any}). Pass a map of extra keyword args which may be specific to a backend.",
:fontfamily => "String or Symbol. Default font family for title, legend entries, tick labels and guides",
# subplot args
@@ -98,7 +98,7 @@ const _arg_desc = KW(
:legendfont => "Font. Font of legend items.",
: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. Plot area is resized so that 1 y-unit is the same size as `apect_ratio` x-units.",
:aspect_ratio => "Symbol (:equal) or Number. Plot area is resized so that 1 y-unit is the same size as `aspect_ratio` x-units.",
: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.",
@@ -110,14 +110,14 @@ const _arg_desc = KW(
:camera => "NTuple{2, Real}. Sets the view angle (azimuthal, elevation) for 3D plots",
# axis args
:guide => "String. Axis guide (label).",
:guide => "String. Axis guide (label).",
:guide_position => "Symbol. Position of axis guides: :top, :bottom, :left or :right",
:lims => "NTuple{2,Number} or Symbol. Force axis limits. Only finite values are used (you can set only the right limit with `xlims = (-Inf, 2)` for example). `:round` widens the limit to the nearest round number ie. [0.1,3.6]=>[0.0,4.0]",
: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?",
:formatter => "Function, :scientific, :plain or :auto. A method which converts a number to a string for tick labeling.",
:lims => "NTuple{2,Number} or Symbol. Force axis limits. Only finite values are used (you can set only the right limit with `xlims = (-Inf, 2)` for example). `:round` widens the limit to the nearest round number ie. [0.1,3.6]=>[0.0,4.0]",
: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?",
:formatter => "Function, :scientific, :plain or :auto. A method which converts a number to a string for tick labeling.",
:tickfontfamily => "String or Symbol. Font family of tick labels.",
:tickfontsize => "Integer. Font pointsize of tick labels.",
:tickfonthalign => "Symbol. Font horizontal alignment of tick labels: :hcenter, :left, :right or :center",
+2 -2
View File
@@ -1050,8 +1050,8 @@ function preprocessArgs!(plotattributes::KW)
# warnings for moved recipes
st = get(plotattributes, :seriestype, :path)
if st in (:boxplot, :violin, :density) && !isdefined(Main, :StatPlots)
@warn("seriestype $st has been moved to StatPlots. To use: \`Pkg.add(\"StatPlots\"); using StatPlots\`")
if st in (:boxplot, :violin, :density) && !isdefined(Main, :StatsPlots)
@warn("seriestype $st has been moved to StatsPlots. To use: \`Pkg.add(\"StatsPlots\"); using StatsPlots\`")
end
return
+33 -96
View File
@@ -7,16 +7,20 @@ const _backendSymbol = Dict{DataType, Symbol}(NoBackend => :none)
const _backends = Symbol[]
const _initialized_backends = Set{Symbol}()
const _default_backends = (:none, :gr, :plotly)
const _backendPackage = Dict{Symbol, Symbol}()
const _backend_packages = Dict{Symbol, Symbol}()
"Returns a list of supported backends"
backends() = _backends
"Returns the name of the current backend"
backend_name() = CURRENT_BACKEND.sym
_backend_instance(sym::Symbol) = haskey(_backendType, sym) ? _backendType[sym]() : error("Unsupported backend $sym")
backend_package(pkg::Symbol) = pkg in _default_backends ? :Plots : Symbol("Plots", _backendPackage[pkg])
backend_package_name(sym::Symbol) = sym in _default_backends ? :Plots : _backendPackage[sym]
function _backend_instance(sym::Symbol)::AbstractBackend
haskey(_backendType, sym) ? _backendType[sym]() : error("Unsupported backend $sym")
end
backend_package_name(sym::Symbol) = _backend_packages[sym]
macro init_backend(s)
package_str = string(s)
@@ -26,13 +30,13 @@ macro init_backend(s)
esc(quote
struct $T <: AbstractBackend end
export $sym
$sym(; kw...) = (default(; kw...); backend(Symbol($str)))
$sym(; kw...) = (default(; kw...); backend($T()))
backend_name(::$T) = Symbol($str)
backend_package_name(pkg::$T) = backend_package_name(Symbol($str))
push!(_backends, Symbol($str))
_backendType[Symbol($str)] = $T
_backendSymbol[$T] = Symbol($str)
_backendPackage[Symbol($str)] = Symbol($package_str)
_backend_packages[Symbol($str)] = Symbol($package_str)
# include("backends/" * $str * ".jl")
end)
end
@@ -42,12 +46,6 @@ end
# ---------------------------------------------------------
function add_backend(pkg::Symbol)
@info("To do a standard install of $pkg, copy and run this:\n\n")
println(add_backend_string(_backend_instance(pkg)))
println()
end
# don't do anything as a default
_create_backend_figure(plt::Plot) = nothing
_prepare_plot_object(plt::Plot) = nothing
@@ -138,33 +136,27 @@ CurrentBackend(sym::Symbol) = CurrentBackend(sym, _backend_instance(sym))
# ---------------------------------------------------------
function pickDefaultBackend()
_fallback_default_backend() = backend(GRBackend())
function _pick_default_backend()
env_default = get(ENV, "PLOTS_DEFAULT_BACKEND", "")
if env_default != ""
sym = Symbol(lowercase(env_default))
if sym in _backends
if sym in _initialized_backends
return backend(sym)
backend(sym)
else
@warn("You have set `PLOTS_DEFAULT_BACKEND=$env_default` but `$(backend_package_name(sym))` is not loaded.")
_fallback_default_backend()
end
else
@warn("You have set PLOTS_DEFAULT_BACKEND=$env_default but it is not a valid backend package. Choose from:\n\t" *
join(sort(_backends), "\n\t"))
_fallback_default_backend()
end
else
_fallback_default_backend()
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 ("GR", "PyPlot", "PlotlyJS", "PGFPlots", "UnicodePlots", "InspectDR")
# if pkgstr in keys(Pkg.installed())
# return backend(Symbol(lowercase(pkgstr)))
# end
# end
# the default if nothing else is installed
backend(:gr)
end
@@ -174,13 +166,11 @@ end
Returns the current plotting package name. Initializes package on first call.
"""
function backend()
if CURRENT_BACKEND.sym == :none
_pick_default_backend()
end
global CURRENT_BACKEND
if CURRENT_BACKEND.sym == :none
pickDefaultBackend()
end
CURRENT_BACKEND.pkg
CURRENT_BACKEND.pkg
end
"""
@@ -188,20 +178,13 @@ Set the plot backend.
"""
function backend(pkg::AbstractBackend)
sym = backend_name(pkg)
if sym in _initialized_backends
CURRENT_BACKEND.sym = backend_name(pkg)
CURRENT_BACKEND.pkg = pkg
else
# try
_initialize_backend(pkg)
push!(_initialized_backends, sym)
CURRENT_BACKEND.sym = backend_name(pkg)
CURRENT_BACKEND.pkg = pkg
# catch
# add_backend(sym)
# end
if !(sym in _initialized_backends)
_initialize_backend(pkg)
push!(_initialized_backends, sym)
end
backend()
CURRENT_BACKEND.sym = sym
CURRENT_BACKEND.pkg = pkg
pkg
end
function backend(sym::Symbol)
@@ -209,8 +192,8 @@ function backend(sym::Symbol)
backend(_backend_instance(sym))
else
@warn("`:$sym` is not a supported backend.")
backend()
end
backend()
end
const _deprecated_backends = [:qwt, :winston, :bokeh, :gadfly, :immerse, :glvisualize]
@@ -316,13 +299,10 @@ function _initialize_backend(pkg::AbstractBackend)
end
end
function add_backend_string(pkg::AbstractBackend)
sym = backend_package_name(pkg)
"""
using Pkg
Pkg.add("$sym")
"""
end
_initialize_backend(pkg::GRBackend) = nothing
_initialize_backend(pkg::PlotlyBackend) = nothing
# ------------------------------------------------------------------------------
# gr
@@ -379,13 +359,6 @@ const _gr_marker = _allMarkers
const _gr_scale = [:identity, :log10]
is_marker_supported(::GRBackend, shape::Shape) = true
function add_backend_string(::GRBackend)
"""
Pkg.add("GR")
Pkg.build("GR")
"""
end
# ------------------------------------------------------------------------------
# plotly
@@ -447,14 +420,6 @@ const _plotly_scale = [:identity, :log10]
# ------------------------------------------------------------------------------
# pgfplots
function add_backend_string(::PGFPlotsBackend)
"""
using Pkg
Pkg.add("PGFPlots")
Pkg.build("PGFPlots")
"""
end
const _pgfplots_attr = merge_with_base_supported([
:annotations,
:background_color_legend,
@@ -499,22 +464,12 @@ const _pgfplots_scale = [:identity, :ln, :log2, :log10]
# plotlyjs
function _initialize_backend(pkg::PlotlyJSBackend)
sym = backend_package_name(pkg)
@eval Main begin
import PlotlyJS, ORCA
export PlotlyJS
end
end
function add_backend_string(::PlotlyJSBackend)
"""
using Pkg
Pkg.add(["PlotlyJS", "Blink", "ORCA"])
import Blink
Blink.AtomShell.install()
"""
end
const _plotlyjs_attr = _plotly_attr
const _plotlyjs_seriestype = _plotly_seriestype
const _plotlyjs_style = _plotly_style
@@ -535,16 +490,6 @@ function _initialize_backend(::PyPlotBackend)
end
end
function add_backend_string(::PyPlotBackend)
"""
using Pkg
withenv("PYTHON" => "") do
Pkg.add("PyPlot")
Pkg.build("PyPlot")
end
"""
end
const _pyplot_attr = merge_with_base_supported([
:annotations,
:background_color_legend, :background_color_inside, :background_color_outside,
@@ -598,14 +543,6 @@ const _pyplot_scale = [:identity, :ln, :log2, :log10]
# ------------------------------------------------------------------------------
# unicodeplots
function add_backend_string(::UnicodePlotsBackend)
"""
using Pkg
Pkg.add("UnicodePlots")
Pkg.build("UnicodePlots")
"""
end
const _unicodeplots_attr = merge_with_base_supported([
:label,
:legend,
+6 -8
View File
@@ -6,6 +6,7 @@
import GR
export GR
# --------------------------------------------------------------------------------------
const gr_linetype = KW(
@@ -1029,16 +1030,13 @@ function gr_display(sp::Subplot{GRBackend}, w, h, viewport_canvas)
else
h = series[:levels] > 1 ? range(zmin, stop=zmax, length=series[:levels]) : [(zmin + zmax) / 2]
end
GR.setlinetype(gr_linetype[get_linestyle(series)])
GR.setlinewidth(max(0, get_linewidth(series) / (sum(gr_plot_size) * 0.001)))
if series[:fillrange] != nothing
GR.surface(x, y, z, GR.OPTION_CELL_ARRAY)
GR.contourf(x, y, h, z, series[:contour_labels] == true ? 1 : 0)
else
GR.setlinetype(gr_linetype[get_linestyle(series)])
GR.setlinewidth(max(0, get_linewidth(series) / (sum(gr_plot_size) * 0.001)))
if plot_color(series[:linecolor]) == [plot_color(:black)]
GR.contour(x, y, h, z, 0 + (series[:contour_labels] == true ? 1 : 0))
else
GR.contour(x, y, h, z, 1000 + (series[:contour_labels] == true ? 1 : 0))
end
coff = plot_color(series[:linecolor]) == [plot_color(:black)] ? 0 : 1000
GR.contour(x, y, h, z, coff + (series[:contour_labels] == true ? 1 : 0))
end
# create the colorbar of contour levels
+6 -19
View File
@@ -1,5 +1,4 @@
# https://github.com/spencerlyon2/PlotlyJS.jl
# https://github.com/sglyon/PlotlyJS.jl
# --------------------------------------------------------------------------------------
@@ -50,23 +49,11 @@ end
# ----------------------------------------------------------------
function _show(io::IO, ::MIME"text/html", plt::Plot{PlotlyJSBackend})
if isijulia() && !_use_remote[]
write(io, PlotlyJS.html_body(PlotlyJS.JupyterPlot(plt.o)))
else
show(io, MIME("text/html"), plt.o)
end
end
function plotlyjs_save_hack(io::IO, plt::Plot{PlotlyJSBackend}, ext::String)
tmpfn = tempname() * "." * ext
PlotlyJS.savefig(plt.o, tmpfn)
write(io, read(open(tmpfn)))
end
_show(io::IO, ::MIME"image/svg+xml", plt::Plot{PlotlyJSBackend}) = plotlyjs_save_hack(io, plt, "svg")
_show(io::IO, ::MIME"image/png", plt::Plot{PlotlyJSBackend}) = plotlyjs_save_hack(io, plt, "png")
_show(io::IO, ::MIME"application/pdf", plt::Plot{PlotlyJSBackend}) = plotlyjs_save_hack(io, plt, "pdf")
_show(io::IO, ::MIME"image/eps", plt::Plot{PlotlyJSBackend}) = plotlyjs_save_hack(io, plt, "eps")
_show(io::IO, ::MIME"text/html", plt::Plot{PlotlyJSBackend}) = show(io, MIME("text/html"), plt.o)
_show(io::IO, ::MIME"image/svg+xml", plt::Plot{PlotlyJSBackend}) = PlotlyJS.savefig(io, plt.o, format="svg")
_show(io::IO, ::MIME"image/png", plt::Plot{PlotlyJSBackend}) = PlotlyJS.savefig(io, plt.o, format="png")
_show(io::IO, ::MIME"application/pdf", plt::Plot{PlotlyJSBackend}) = PlotlyJS.savefig(io, plt.o, format="pdf")
_show(io::IO, ::MIME"image/eps", plt::Plot{PlotlyJSBackend}) = PlotlyJS.savefig(io, plt.o, format="eps")
function write_temp_html(plt::Plot{PlotlyJSBackend})
filename = string(tempname(), ".html")
+66 -4
View File
@@ -524,6 +524,68 @@ function py_add_series(plt::Plot{PyPlotBackend}, series::Series)
extrakw...
))
end
push!(handles, handle)
elseif isa(series[:markershape], AbstractVector{Symbol})
handle = []
x,y = xyargs
shapes = series[:markershape]
prev_marker = py_marker(_cycle(shapes,1))
cur_x_list = []
cur_y_list = []
cur_color_list = []
cur_scale_list = []
delete!(extrakw, :c)
for i=1:length(y)
cur_marker = py_marker(_cycle(shapes,i))
if ( cur_marker == prev_marker )
push!(cur_x_list, _cycle(x,i))
push!(cur_y_list, _cycle(y,i))
push!(cur_color_list, _cycle(markercolor, i))
push!(cur_scale_list, py_thickness_scale(plt, _cycle(series[:markersize],i) .^ 2))
continue
end
push!(handle, ax[:scatter](cur_x_list, cur_y_list;
label = series[:label],
zorder = series[:series_plotindex] + 0.5,
marker = prev_marker,
s = cur_scale_list,
edgecolors = py_markerstrokecolor(series),
linewidths = py_thickness_scale(plt, series[:markerstrokewidth]),
facecolors = cur_color_list,
extrakw...
))
cur_x_list = [_cycle(x,i)]
cur_y_list = [_cycle(y,i)]
cur_color_list = [_cycle(markercolor, i)]
cur_scale_list = [py_thickness_scale(plt, _cycle(series[:markersize],i) .^ 2)]
prev_marker = cur_marker
end
if !isempty(cur_color_list)
push!(handle, ax[:scatter](cur_x_list, cur_y_list;
label = series[:label],
zorder = series[:series_plotindex] + 0.5,
marker = prev_marker,
s = cur_scale_list,
edgecolors = py_markerstrokecolor(series),
linewidths = py_thickness_scale(plt, series[:markerstrokewidth]),
facecolors = cur_color_list,
extrakw...
))
end
push!(handles, handle)
else
# do a normal scatter plot
@@ -667,7 +729,7 @@ function py_add_series(plt::Plot{PyPlotBackend}, series::Series)
end
handle = ax[:imshow](z;
zorder = series[:series_plotindex],
cmap = py_colormap([:black, :white]),
cmap = py_colormap(cgrad([:black, :white])),
vmin = 0.0,
vmax = 1.0,
extent = (xmin, xmax, ymax, ymin)
@@ -1152,7 +1214,7 @@ function py_add_annotations(sp::Subplot{PyPlotBackend}, x, y, val::PlotText)
color = py_color(val.font.color),
horizontalalignment = val.font.halign == :hcenter ? "center" : string(val.font.halign),
verticalalignment = val.font.valign == :vcenter ? "center" : string(val.font.valign),
rotation = val.font.rotation * 180 / π,
rotation = val.font.rotation,
size = py_thickness_scale(sp.plt, val.font.pointsize),
zorder = 999
)
@@ -1188,12 +1250,12 @@ function py_add_legend(plt::Plot, sp::Subplot, ax)
linewidth = py_thickness_scale(plt, clamp(get_linewidth(series), 0, 5)),
linestyle = py_linestyle(series[:seriestype], get_linestyle(series))
)
elseif series[:seriestype] in (:path, :straightline)
elseif series[:seriestype] in (:path, :straightline, :scatter)
PyPlot.plt[:Line2D]((0,1),(0,0),
color = py_color(get_linecolor(series, clims), get_linealpha(series)),
linewidth = py_thickness_scale(plt, clamp(get_linewidth(series), 0, 5)),
linestyle = py_linestyle(:path, get_linestyle(series)),
marker = py_marker(series[:markershape]),
marker = py_marker(first(series[:markershape])),
markeredgecolor = py_color(get_markerstrokecolor(series), get_markerstrokealpha(series)),
markerfacecolor = series[:marker_z] == nothing ? py_color(get_markercolor(series, clims), get_markeralpha(series)) : py_color(series[:markercolor][0.5])
)
+49 -6
View File
@@ -256,8 +256,24 @@ mutable struct Font
color::Colorant
end
"Create a Font from a list of unordered features"
function font(args...)
"""
font(args...)
Create a Font from a list of features. Values may be specified either as
arguments (which are distinguished by type/value) or as keyword arguments.
# Arguments
- `family`: AbstractString. "serif" or "sans-serif" or "monospace"
- `pointsize`: Integer. Size of font in points
- `halign`: Symbol. Horizontal alignment (:hcenter, :left, or :right)
- `valign`: Symbol. Vertical aligment (:vcenter, :top, or :bottom)
- `rotation`: Real. Angle of rotation for text in degrees (use a non-integer type)
- `color`: Colorant or Symbol
# Examples
```julia-repl
julia> font(8)
julia> font(family="serif",halign=:center,rotation=45.0)
```
"""
function font(args...;kw...)
# defaults
family = "sans-serif"
@@ -301,6 +317,32 @@ function font(args...)
end
end
for symbol in keys(kw)
if symbol == :family
family = kw[:family]
elseif symbol == :pointsize
pointsize = kw[:pointsize]
elseif symbol == :halign
halign = kw[:halign]
if halign == :center
halign = :hcenter
end
@assert halign in (:hcenter, :left, :right)
elseif symbol == :valign
valign = kw[:valign]
if valign == :center
valign = :vcenter
end
@assert valign in (:vcenter, :top, :bottom)
elseif symbol == :rotation
rotation = kw[:rotation]
elseif symbol == :color
color = parse(Colorant, kw[:color])
else
@warn("Unused font kwarg: $symbol")
end
end
Font(family, pointsize, halign, valign, rotation, color)
end
@@ -344,15 +386,16 @@ end
PlotText(str) = PlotText(string(str), font())
"""
text(string, args...)
text(string, args...; kw...)
Create a PlotText object wrapping a string with font info, for plot annotations
Create a PlotText object wrapping a string with font info, for plot annotations.
`args` and `kw` are passed to `font`.
"""
text(t::PlotText) = t
text(t::PlotText, font::Font) = PlotText(t.str, font)
text(str::AbstractString, f::Font) = PlotText(str, f)
function text(str, args...)
PlotText(string(str), font(args...))
function text(str, args...;kw...)
PlotText(string(str), font(args...;kw...))
end
Base.length(t::PlotText) = length(t.str)
+24
View File
@@ -0,0 +1,24 @@
# ---------------------------------------------------------
# A backup, if no PNG generation is defined, is to try to make a PDF and use FileIO to convert
_fileio_load(@nospecialize(filename::AbstractString)) = FileIO.load(filename::AbstractString)
_fileio_save(@nospecialize(filename::AbstractString), @nospecialize(x)) = FileIO.save(filename::AbstractString, x)
function _show_pdfbackends(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, read(open(pngfn), String))
end
const PDFBackends = Union{PGFPlotsBackend,PlotlyJSBackend,PyPlotBackend,InspectDRBackend,GRBackend}
+59
View File
@@ -0,0 +1,59 @@
const use_local_dependencies = Ref(false)
const use_local_plotlyjs = Ref(false)
function _init_ijulia_plotting()
# IJulia is more stable with local file
use_local_plotlyjs[] = isfile(plotly_local_file_path)
ENV["MPLBACKEND"] = "Agg"
end
"""
Add extra jupyter mimetypes to display_dict based on the plot backed.
The default is nothing, except for plotly based backends, where it
adds data for `application/vnd.plotly.v1+json` that is used in
frontends like jupyterlab and nteract.
"""
_ijulia__extra_mime_info!(plt::Plot, out::Dict) = out
function _ijulia__extra_mime_info!(plt::Plot{PlotlyJSBackend}, out::Dict)
out["application/vnd.plotly.v1+json"] = JSON.lower(plt.o)
out
end
function _ijulia__extra_mime_info!(plt::Plot{PlotlyBackend}, out::Dict)
out["application/vnd.plotly.v1+json"] = Dict(
:data => plotly_series(plt),
:layout => plotly_layout(plt)
)
out
end
function _ijulia_display_dict(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
out = Dict()
if output_type == :txt
mime = "text/plain"
out[mime] = sprint(show, MIME(mime), plt)
elseif output_type == :png
mime = "image/png"
out[mime] = base64encode(show, MIME(mime), plt)
elseif output_type == :svg
mime = "image/svg+xml"
out[mime] = sprint(show, MIME(mime), plt)
elseif output_type == :html
mime = "text/html"
out[mime] = sprint(show, MIME(mime), plt)
else
error("Unsupported output type $output_type")
end
_ijulia__extra_mime_info!(plt, out)
out
end
+22 -85
View File
@@ -1,16 +1,22 @@
using REPL
const use_local_dependencies = Ref(false)
function _plots_defaults()
if isdefined(Main, :PLOTS_DEFAULTS)
Main.PLOTS_DEFAULTS::Dict{Symbol,Any}
else
Dict{Symbol,Any}()
end
end
function __init__()
if isdefined(Main, :PLOTS_DEFAULTS)
if haskey(Main.PLOTS_DEFAULTS, :theme)
theme(Main.PLOTS_DEFAULTS[:theme])
end
for (k,v) in Main.PLOTS_DEFAULTS
k == :theme || default(k, v)
end
user_defaults = _plots_defaults()
if haskey(user_defaults, :theme)
theme(user_defaults[:theme])
end
for (k,v) in user_defaults
k == :theme || default(k, v)
end
insert!(Base.Multimedia.displays, findlast(x -> x isa Base.TextDisplay || x isa REPL.REPLDisplay, Base.Multimedia.displays) + 1, PlotsDisplay())
@@ -29,95 +35,26 @@ function __init__()
@require PyPlot = "d330b81b-6aea-500a-939a-2ce795aea3ee" include(joinpath(@__DIR__, "backends", "pyplot.jl"))
@require UnicodePlots = "b8865327-cd53-5732-bb35-84acbb429228" include(joinpath(@__DIR__, "backends", "unicodeplots.jl"))
# ---------------------------------------------------------
# IJulia
# ---------------------------------------------------------
use_local = false
@require IJulia = "7073ff75-c697-5162-941a-fcdaad2a7d2a" begin
if IJulia.inited
# IJulia is more stable with local file
use_local = isfile(plotly_local_file_path)
"""
Add extra jupyter mimetypes to display_dict based on the plot backed.
_init_ijulia_plotting()
The default is nothing, except for plotly based backends, where it
adds data for `application/vnd.plotly.v1+json` that is used in
frontends like jupyterlab and nteract.
"""
_extra_mime_info!(plt::Plot, out::Dict) = out
function _extra_mime_info!(plt::Plot{PlotlyJSBackend}, out::Dict)
out["application/vnd.plotly.v1+json"] = JSON.lower(plt.o)
out
end
function _extra_mime_info!(plt::Plot{PlotlyBackend}, out::Dict)
out["application/vnd.plotly.v1+json"] = Dict(
:data => plotly_series(plt),
:layout => plotly_layout(plt)
)
out
end
function IJulia.display_dict(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
out = Dict()
if output_type == :txt
mime = "text/plain"
out[mime] = sprint(show, MIME(mime), plt)
elseif output_type == :png
mime = "image/png"
out[mime] = base64encode(show, MIME(mime), plt)
elseif output_type == :svg
mime = "image/svg+xml"
out[mime] = sprint(show, MIME(mime), plt)
elseif output_type == :html
mime = "text/html"
out[mime] = sprint(show, MIME(mime), plt)
else
error("Unsupported output type $output_type")
end
_extra_mime_info!(plt, out)
out
end
ENV["MPLBACKEND"] = "Agg"
IJulia.display_dict(plt::Plot) = _ijulia_display_dict(plt)
end
end
if haskey(ENV, "PLOTS_HOST_DEPENDENCY_LOCAL")
use_local = ENV["PLOTS_HOST_DEPENDENCY_LOCAL"] == "true"
use_local_dependencies[] = isfile(plotly_local_file_path) && use_local
if use_local && !isfile(plotly_local_file_path)
use_local_plotlyjs[] = ENV["PLOTS_HOST_DEPENDENCY_LOCAL"] == "true"
use_local_dependencies[] = isfile(plotly_local_file_path) && use_local_plotlyjs[]
if use_local_plotlyjs[] && !isfile(plotly_local_file_path)
@warn("PLOTS_HOST_DEPENDENCY_LOCAL is set to true, but no local plotly file found. run Pkg.build(\"Plots\") and make sure PLOTS_HOST_DEPENDENCY_LOCAL is set to true")
end
else
use_local_dependencies[] = use_local
use_local_dependencies[] = use_local_plotlyjs[]
end
# ---------------------------------------------------------
# A backup, if no PNG generation is defined, is to try to make a PDF and use FileIO to convert
@require FileIO = "5789e2e9-d7fb-5bc7-8068-2c6fae9b9549" begin
PDFBackends = Union{PGFPlotsBackend,PlotlyJSBackend,PyPlotBackend,InspectDRBackend,GRBackend}
function _show(io::IO, ::MIME"image/png", plt::Plot{<:PDFBackends})
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, read(open(pngfn), String))
end
_show(io::IO, mime::MIME"image/png", plt::Plot{<:PDFBackends}) = _show_pdfbackends(io, mime, plt)
end
end
+2 -2
View File
@@ -166,9 +166,9 @@ end
function _plot!(plt::Plot, plotattributes::KW, args::Tuple)
plotattributes[:plot_object] = plt
if !isempty(args) && !isdefined(Main, :StatPlots) &&
if !isempty(args) && !isdefined(Main, :StatsPlots) &&
first(split(string(typeof(args[1])), ".")) == "DataFrames"
@warn("You're trying to plot a DataFrame, but this functionality is provided by StatPlots")
@warn("You're trying to plot a DataFrame, but this functionality is provided by StatsPlots")
end
# --------------------------------
+14 -6
View File
@@ -586,12 +586,12 @@ end
end
Plots.@deps stepbins path
wand_edges(x...) = (@warn("Load the StatPlots package in order to use :wand bins. Defaulting to :auto", once = true); :auto)
wand_edges(x...) = (@warn("Load the StatsPlots package in order to use :wand bins. Defaulting to :auto", once = true); :auto)
function _auto_binning_nbins(vs::NTuple{N,AbstractVector}, dim::Integer; mode::Symbol = :auto) where N
_cl(x) = ceil(Int, NaNMath.max(x, one(x)))
_cl(x) = ceil(Int, max(x, one(x)))
_iqr(v) = (q = quantile(v, 0.75) - quantile(v, 0.25); q > 0 ? q : oftype(q, 1))
_span(v) = ignorenan_maximum(v) - ignorenan_minimum(v)
_span(v) = maximum(v) - minimum(v)
n_samples = length(LinearIndices(first(vs)))
@@ -635,11 +635,19 @@ _hist_edges(vs::NTuple{N,AbstractVector}, binning::Union{Integer, Symbol, Abstra
_hist_norm_mode(mode::Symbol) = mode
_hist_norm_mode(mode::Bool) = mode ? :pdf : :none
_filternans(vs::NTuple{1,AbstractVector}) = filter!.(isfinite, vs)
function _filternans(vs::NTuple{N,AbstractVector}) where N
_invertedindex(v, not) = [j for (i,j) in enumerate(v) if !(i not)]
nots = union(Set.(findall.(!isfinite, vs))...)
_invertedindex.(vs, Ref(nots))
end
function _make_hist(vs::NTuple{N,AbstractVector}, binning; normed = false, weights = nothing) where N
edges = _hist_edges(vs, binning)
localvs = _filternans(vs)
edges = _hist_edges(localvs, binning)
h = float( weights == nothing ?
StatsBase.fit(StatsBase.Histogram, vs, edges, closed = :left) :
StatsBase.fit(StatsBase.Histogram, vs, StatsBase.Weights(weights), edges, closed = :left)
StatsBase.fit(StatsBase.Histogram, localvs, edges, closed = :left) :
StatsBase.fit(StatsBase.Histogram, localvs, StatsBase.Weights(weights), edges, closed = :left)
)
normalize!(h, mode = _hist_norm_mode(normed))
end
+9 -2
View File
@@ -323,19 +323,26 @@ end
# # images - grays
function clamp_greys!(mat::AMat{T}) where T<:Gray
for i in eachindex(mat)
mat[i].val < 0 && (mat[i] = Gray(0))
mat[i].val > 1 && (mat[i] = Gray(1))
end
mat
end
@recipe function f(mat::AMat{T}) where T<:Gray
n, m = size(mat)
if is_seriestype_supported(:image)
seriestype := :image
yflip --> true
SliceIt, 1:m, 1:n, Surface(mat)
SliceIt, 1:m, 1:n, Surface(clamp_greys!(mat))
else
seriestype := :heatmap
yflip --> true
cbar --> false
fillcolor --> ColorGradient([:black, :white])
SliceIt, 1:m, 1:n, Surface(convert(Matrix{Float64}, mat))
SliceIt, 1:m, 1:n, Surface(clamp!(convert(Matrix{Float64}, mat), 0., 1.))
end
end
+455
View File
@@ -0,0 +1,455 @@
"""
scatter(x,y)
scatter!(x,y)
Make a scatter plot of y vs x.
# Examples
```julia-repl
julia> scatter([1,2,3],[4,5,6],markersize=[3,4,5],markercolor=[:red,:green,:blue])
julia> scatter([(1,4),(2,5),(3,6)])
```
"""
@shorthands scatter
"""
bar(x,y)
bar!(x,y)
Make a bar plot of y vs x.
# Arguments
- $(_document_argument("bar_position"))
- $(_document_argument("bar_width"))
- $(_document_argument("bar_edges"))
- $(_document_argument("orientation"))
# Examples
```julia-repl
julia> bar([1,2,3],[4,5,6],fillcolor=[:red,:green,:blue],fillalpha=[0.2,0.4,0.6])
julia> bar([(1,4),(2,5),(3,6)])
```
"""
@shorthands bar
@shorthands barh
"""
histogram(x)
histogram!(x)
Plot a histogram.
# Arguments
- `x`: AbstractVector of values to be binned
- $(_document_argument("bins"))
- `weights`: Vector of weights for the values in `x`, for weighted bin counts
- $(_document_argument("normalize"))
- $(_document_argument("bar_position"))
- $(_document_argument("bar_width"))
- $(_document_argument("bar_edges"))
- $(_document_argument("orientation"))
# Example
```julia-repl
julia> histogram([1,2,1,1,4,3,8],bins=0:8)
```
"""
@shorthands histogram
"""
barhist(x)
barhist!(x)
Make a histogram bar plot. See `histogram`.
"""
@shorthands barhist
"""
stephist(x)
stephist(x)
Make a histogram step plot (bin counts are represented using horizontal lines
instead of bars). See `histogram`.
"""
@shorthands stephist
"""
scatterhist(x)
scatterhist!(x)
Make a histogram scatter plot (bin counts are represented using points
instead of bars). See `histogram`.
"""
@shorthands scatterhist
"""
histogram2d(x,y)
histogram2d!(x,y)
Plot a two-dimensional histogram.
# Arguments
- `bins`: Number of bins (if an `Integer`) or bin edges (if an `AbtractVector`)
- `weights`: Vector of weights for the values in `x`. Each entry of x contributes
its weight to the height of its bin.
# Example
```julia-repl
julia> histogram2d(randn(10_000),randn(10_000))
```
"""
@shorthands histogram2d
"""
density(x)
density!(x)
Make a line plot of a kernel density estimate of x.
# Arguments
- `x`: AbstractVector of samples for probability density estimation
# Example
```julia-repl
julia> using StatsPlots
julia> density(randn(100_000))
```
"""
@shorthands density
"""
heatmap(x,y,z)
heatmap!(x,y,z)
Plot a heatmap of the rectangular array `z`.
# Example
```julia-repl
julia> heatmap(randn(10,10))
```
"""
@shorthands heatmap
@shorthands plots_heatmap
"""
hexbin(x,y)
hexbin!(x,y)
Make a hexagonal binning plot (a histogram of the observations `(x[i],y[i])`
with hexagonal bins)
# Example
```julia-repl
julia> hexbin(randn(10_000), randn(10_000))
```
"""
@shorthands hexbin
"""
sticks(x,y)
sticks!(x,y)
Draw a stick plot of y vs x.
# Example
```julia-repl
julia> sticks(1:10)
```
"""
@shorthands sticks
"""
hline(y)
hline!(y)
Draw horizontal lines at positions specified by the values in
the AbstractVector `y`
# Example
```julia-repl
julia> hline([-1,0,2])
```
"""
@shorthands hline
"""
vline(x)
vline!(x)
Draw vertical lines at positions specified by the values in
the AbstractVector `x`
# Example
```julia-repl
julia> vline([-1,0,2])
```
"""
@shorthands vline
"""
hspan(y)
Draw a rectangle between the horizontal line at position `y[1]`
and the horizontal line at position `y[2]`. If `length(y) ≥ 4`,
then further rectangles are drawn between `y[3]` and `y[4]`,
`y[5]` and `y[6]`, and so on. If `length(y)` is odd, then the
last entry of `y` is ignored.
# Example
```julia-repl
julia> hspan(1:6)
```
"""
@shorthands hspan
"""
vspan(x)
Draw a rectangle between the vertical line at position `x[1]`
and the vertical line at position `x[2]`. If `length(x) ≥ 4`,
then further rectangles are drawn between `x[3]` and `x[4]`,
`x[5]` and `x[6]`, and so on. If `length(x)` is odd, then the
last entry of `x` is ignored.
# Example
```julia-repl
julia> vspan(1:6)
```
"""
@shorthands vspan
"""
ohlc(x,y::Vector{OHLC})
ohlc!(x,y::Vector{OHLC})
Make open-high-low-close plot. Each entry of y is represented by a vertical
segment extending from the low value to the high value, with short horizontal
segments on the left and right indicating the open and close values, respectively.
# Example
```julia-repl
julia> meanprices = cumsum(randn(100))
julia> y = OHLC[(p+rand(),p+1,p-1,p+rand()) for p in meanprices]
julia> ohlc(y)
```
"""
@shorthands ohlc
"""
contour(x,y,z)
contour!(x,y,z)
Draw contour lines of the `Surface` z.
# Arguments
- `levels`: Contour levels (if `AbstractVector`) or number of levels (if `Integer`)
- `fill`: Bool. Fill area between contours or draw contours only (false by default)
# Example
```julia-repl
julia> x = y = range(-20, 20, length = 100)
julia> contour(x, y, (x, y) -> x^2 + y^2)
```
"""
@shorthands contour
"An alias for `contour` with fill = true."
@shorthands contourf
@shorthands contour3d
"""
surface(x,y,z)
surface!(x,y,z)
Draw a 3D surface plot.
# Example
```julia-repl
julia> x = y = range(-3, 3, length = 100)
julia> surface(x, y, (x, y) -> sinc(norm([x, y])))
```
"""
@shorthands surface
"""
wireframe(x,y,z)
wireframe!(x,y,z)
Draw a 3D wireframe plot.
# Example
```julia-repl
julia> wireframe(1:10,1:10,randn(10,10))
```
"""
@shorthands wireframe
"""
path3d(x,y,z)
path3d!(x,y,z)
Plot a 3D path from `(x[1],y[1],z[1])` to `(x[2],y[2],z[2])`,
..., to `(x[end],y[end],z[end])`.
# Example
```julia-repl
julia> path3d([0,1,2,3],[0,1,4,9],[0,1,8,27])
```
"""
@shorthands path3d
"""
scatter3d(x,y,z)
scatter3d!(x,y,z)
Make a 3D scatter plot.
# Example
```julia-repl
julia> scatter3d([0,1,2,3],[0,1,4,9],[0,1,8,27])
```
"""
@shorthands scatter3d
"""
boxplot(x, y)
boxplot!(x, y)
Make a box and whisker plot.
# Keyword arguments
- `notch`: Bool. Notch the box plot? (false)
- `range`: Real. Values more than range*IQR below the first quartile
or above the third quartile are shown as outliers (1.5)
- `outliers`: Bool. Show outliers? (true)
- `whisker_width`: Real or Symbol. Length of whiskers (:match)
# Example
```julia-repl
julia> using StatsPlots
julia> boxplot(repeat([1,2,3],outer=100),randn(300))
```
"""
@shorthands boxplot
"""
violin(x,y,z)
violin!(x,y,z)
Make a violin plot.
# Example
```julia-repl
julia> violin(repeat([1,2,3],outer=100),randn(300))
```
"""
@shorthands violin
"""
quiver(x,y,quiver=(u,v))
quiver!(x,y,quiver=(u,v))
Make a quiver (vector field) plot. The `i`th vector extends
from `(x[i],y[i])` to `(x[i] + u[i], y[i] + v[i])`.
# Example
```julia-repl
julia> quiver([1,2,3],[3,2,1],quiver=([1,1,1],[1,2,3]))
```
"""
@shorthands quiver
"""
curves(x,y)
curves!(x,y)
Draw a Bezier curve from `(x[1],y[1])` to `(x[end],y[end])`
with control points `(x[2],y[2]), ..., (x[end-1],y[end]-1)`
# Example
```julia-repl
julia> curves([1,2,3,4],[1,1,2,4])
```
"""
@shorthands curves
"Plot a pie diagram"
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)
"Plot with seriestype :path3d"
plot3d(args...; kw...) = plot(args...; kw..., seriestype = :path3d)
plot3d!(args...; kw...) = plot!(args...; kw..., seriestype = :path3d)
"Add title to an existing plot"
title!(s::AbstractString; kw...) = plot!(; title = s, kw...)
"Add xlabel to an existing plot"
xlabel!(s::AbstractString; kw...) = plot!(; xlabel = s, kw...)
"Add ylabel to an existing plot"
ylabel!(s::AbstractString; kw...) = plot!(; ylabel = s, kw...)
"Set xlims for an existing plot"
xlims!(lims::Tuple{T,S}; kw...) where {T<:Real,S<:Real} = plot!(; xlims = lims, kw...)
"Set ylims for an existing plot"
ylims!(lims::Tuple{T,S}; kw...) where {T<:Real,S<:Real} = plot!(; ylims = lims, kw...)
"Set zlims for an existing plot"
zlims!(lims::Tuple{T,S}; kw...) where {T<:Real,S<:Real} = 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...)
"Set xticks for an existing plot"
xticks!(v::TicksArgs; kw...) where {T<:Real} = plot!(; xticks = v, kw...)
"Set yticks for an existing plot"
yticks!(v::TicksArgs; kw...) where {T<:Real} = plot!(; yticks = v, kw...)
xticks!(
ticks::AVec{T}, labels::AVec{S}; kw...) where {T<:Real,S<:AbstractString} = plot!(; xticks = (ticks,labels), kw...)
yticks!(
ticks::AVec{T}, labels::AVec{S}; kw...) where {T<:Real,S<:AbstractString} = plot!(; yticks = (ticks,labels), kw...)
"""
annotate!(anns...)
Add annotations to an existing plot.
# Arguments
- `anns`: An `AbstractVector` of tuples of the form (x,y,text). The text object
can be an String or PlotText
# Example
```julia-repl
julia> plot(1:10)
julia> annotate!([(7,3,"(7,3)"),(3,7,text("hey", 14, :left, :top, :green))])
```
"""
annotate!(anns...; kw...) = plot!(; annotation = anns, kw...)
annotate!(anns::AVec{T}; kw...) where {T<:Tuple} = plot!(; annotation = anns, kw...)
"Flip the current plots' x axis"
xflip!(flip::Bool = true; kw...) = plot!(; xflip = flip, kw...)
"Flip the current plots' y axis"
yflip!(flip::Bool = true; kw...) = plot!(; yflip = flip, kw...)
"Specify x axis attributes for an existing plot"
xaxis!(args...; kw...) = plot!(; xaxis = args, kw...)
"Specify x axis attributes for an existing plot"
yaxis!(args...; kw...) = plot!(; yaxis = args, kw...)
xgrid!(args...; kw...) = plot!(; xgrid = args, kw...)
ygrid!(args...; kw...) = plot!(; ygrid = args, kw...)
+35 -1
View File
@@ -726,7 +726,7 @@ function with(f::Function, args...; kw...)
# save the backend
if CURRENT_BACKEND.sym == :none
pickDefaultBackend()
_pick_default_backend()
end
oldbackend = CURRENT_BACKEND.sym
@@ -1199,3 +1199,37 @@ end
function construct_categorical_data(x::AbstractArray, axis::Axis)
map(xi -> axis[:discrete_values][searchsortedfirst(axis[:continuous_values], xi)], x)
end
_fmt_paragraph(paragraph::AbstractString;kwargs...) = _fmt_paragraph(IOBuffer(),paragraph,0;kwargs...)
function _fmt_paragraph(io::IOBuffer,
remaining_text::AbstractString,
column_count::Integer;
fillwidth=60,
leadingspaces=0)
kwargs = (fillwidth = fillwidth, leadingspaces = leadingspaces)
m = match(r"(.*?) (.*)",remaining_text)
if isa(m,Nothing)
if column_count + length(remaining_text) fillwidth
print(io,remaining_text)
String(take!(io))
else
print(io,"\n"*" "^leadingspaces*remaining_text)
String(take!(io))
end
else
if column_count + length(m[1]) fillwidth
print(io,"$(m[1]) ")
_fmt_paragraph(io,m[2],column_count + length(m[1]) + 1;kwargs...)
else
print(io,"\n"*" "^leadingspaces*"$(m[1]) ")
_fmt_paragraph(io,m[2],leadingspaces;kwargs...)
end
end
end
function _document_argument(S::AbstractString)
_fmt_paragraph("`$S`: "*_arg_desc[Symbol(S)],leadingspaces = 6 + length(S))
end
+1 -1
View File
@@ -1,4 +1,4 @@
StatPlots
StatsPlots
Images
ImageMagick
@osx QuartzImageIO
+5 -1
View File
@@ -33,7 +33,11 @@ if isinteractive()
# PackageSpec(name="LaTeXStrings"),
])
else
push!(to_add, PackageSpec(url="https://github.com/JuliaPlots/PlotReferenceImages.jl.git"))
push!(to_add, PackageSpec(
name="PlotReferenceImages",
url="https://github.com/JuliaPlots/PlotReferenceImages.jl.git",
rev = "sd-tomls"
))
end
Pkg.add(to_add)
+1 -1
View File
@@ -18,7 +18,7 @@ end
using Plots
# using StatPlots
# using StatsPlots
import PlotReferenceImages
using Random
using Test