122 lines
4.0 KiB
Markdown
122 lines
4.0 KiB
Markdown
# Version 1.4.1 (released on: )
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- New features:
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* Implicit recipes can now returns a `Vector{PlotElement}`;
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* Allow using single quotes in output file names (#52);
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* New function: `palette_levels()` can be used to modify palette levels before passing them to gnuplot;
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- Bugfix:
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* Fixed `BoundsErrors` in `hist()` (#49);
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* Fixed problem when generating documentation (#51);
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# Version 1.4.0 (released on: May 5, 2021)
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- New features:
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* Missing values are accepted if the input arrays have `eltype <:
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AbstractFloat`;
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* Missing values are also accepted in calls to `hist`;
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* VSCode and Pluto sessions are now properly handled (#35 and #43);
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- Bugfix:
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* Multiplot were not displayed in Jupyter (#25);
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* `gpvars()` fails if gnuplot character encoding is utf8
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(#24);
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# Version 1.3.0 (released on: Apr. 29, 2020)
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- New features:
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* The new `dgrid3d()` allows to interpolate scattered 2D data on a
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2D regular grid;
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* The `Options` structure features a new `mime` field containing a
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dictionary to map a MIME type to gnuplot terminals;
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* The `Options` structure features a new `gpviewer` field allowing
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to choose the display behaviour (using either gnuplot
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interactive terminals or anexternal viewer such as Jupyter or
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Juno);
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* The `save()` function now accepts a `MIME` argument in place of
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the `term=` keyword. The actual terminal is retrieved from the
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`Options.mime` dictionary;
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* The `contourlines()` function now accepts `AbstractVector` and
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`AbstractMatrix` as arguments, rather than `Vector` and
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`Matrix`;
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* The `contourlines()` function now accepts a `fractions` input to
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generate contours encompassing given fractions of the total
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counts in a 2D histogram;
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* The `palette()` function now accept a boolean `smooth` keyword,
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allowing to interpolate a discrete palette into a continuous one.
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- Breaking changes:
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* The `Options` structure no longer provides the `term_svg` and
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`term_png` fields. They have been replaced by the `mime`
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dictionary.
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# Version 1.2.0 (released on: Apr. 20, 2020)
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- New features:
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* REPL mode: a new `Gnuplot.repl_init()` function is available to
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install a gnuplot REPL;
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* Implemented the "recipe" mechanism: the `recipe()` function can
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now be extended to register new implicit recipes to display
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data;
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* `@gp` and `@gsp` now accepts a `Gnuplot.PlotElements` object,
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containing commands, data and plot specifications in a single
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argument;
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* The `linetypes` function now accept the `lw`, `ps` (to set the
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line width and point size respectively), and the `dashed` (to
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use dashed patterns in place of solid lines) keywords;
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* The new `Gnuplot.options.term::String` field allows to set the
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default terminal for interactive sessions;
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* New functions: `gpvars()` to retrieve all gnuplot variables,
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`gpmargins()` to retrieve current plot margins (in screen
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coordinates, `gpranges()` to retrieve current plot axis ranges;
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* New keywords accepted by `@gp` and `@gsp`: `lmargin`, `rmargin`,
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`bmargin`, `tmargin`, `margins`, to set plot margins;
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* Implemented new implicit recipes to display histograms (as
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returned by `hist()`), contour lines (as returned by
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`contourlines()`) and images;
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* Implemented automatic display of plots in both Jupyter and Juno;
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* Documentation updated;
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- Breaking changes:
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* The 2D matrix are now sent to gnuplot in a column-major order,
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to comply with Julia array layout;
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- Bugfix:
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* When a `Vector{String}` is passed to `driver()` it used to be
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modified, and couldn't be used again in a second call. Now the
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original is preserved;
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* `contourlines()` used to return a single blanck line to
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distinguish iso-contour lines, and this may cause problems in 3D
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plot. Now two blanck lines are returned;
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# Version 1.1.0 (released on: Apr. 09, 2020)
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- First production ready version;
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- Completed documentation and example gallery;
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