v0.7.1

v0.7.1 is a small bugfix and maintenance release. See the official changelog for details. A copy of the changes is also copied below.

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Bug Fixes

• Fixed issue where a plot has no data and the geoms have no data, but the mappings are valid. (404)
• Fixed preserve='single' in plotnine.positions.position_dodge and plotnine.positions.position_dodge2 to work for geoms that only
  have x aesthetic and not xmin and xmax e.g plotnine.geoms.geom_text.
• Fix regression in v0.7.0 where plots with a colorbar would fail if using ~plotnine.themes.theme_matplotlib.

v0.7.0

This is a large release with many bug fixes and enhancements. See offical changelog. A version of the changes is included below.]

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API Changes¶

• Changed the default method of caculating bandwidth for all stats that use kernel density estimation. The affected stats are stat_density, stat_ydensity, and stat_sina. These stats can now work with groups that have a single unique value.

• Changed plotnine.scale.scale_colour_continuous to refer to the same scale as plotnine.scale.scale_color_continuous.

• Changed plotnine.scale.scale_color_cmap so the parameter cmap_name refers to the name of the color palette and name refers to the name of the scale. (GH371)

New Features¶

• aes got an internal function reorder which makes it easy to change the ordering of a discrete variable according to some other variable/column.

• stat_smooth can now use formulae for linear models.

Bug Fixes¶

• Fixed issue where a wrong warning could be issued about changing the transform of a specialised scale. It mostly affected the timedelta scale.

• Fixed plotnine.geoms.geom_violin and other geoms when used with position='dodge' not to crash when if a layer has an empty group of data.

• Fixed bug in plotnine.geoms.geom_path for some cases when groups had less than 2 points. (GH319)

• Fixed all stats that compute kernel density estimates to work when all the data points are the same. (GH317)

• Fixed issue where setting the group to a string value i.e. group='string' outside aes() failed due to an error.

• Fixed issue where discrete position scales could not deal with fewer limits than those present in the data. (GH342)

• Fixed issue with using custom tuple linetypes with plotnine.scales.scale_linetype_manual. (GH352)

• Fixed plotnine.geoms.geom_map to work with facets. (GH359)

• Fixed plotnine.position.jitter_dodge to work when color is used as an aesthetic. (GH372)

• Fixed plotnine.geoms.geom_qq to work with facets (GH379)

• Fixed skewed head in plotnine.geoms.arrow when drawn on facetted plot (GH388)

• Fixed issue with plotnine.stats.stat_density where weights could not be used with a gaussian model. (GH392)

• Fixed bug where guide_colorbar width and height could not be controlled by legend_key_width and legend_key_height. (GH360)

Enhancements¶

• You can now set the bandwidth parameter bw of stat_ydensity.

• Parameters ha and va of geom_text have been converted to aesthetics. You can now map to them. (GH325)

• All themes (except theme_matplotlib) now do not show minor ticks. (GH348)

v0.6.0

This release has many changes, check out the changelog. A version of the changes is included below.

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API Changes

• The draw parameter of geom_map has been removed. Shapefiles should contain only one type of geometry and that is the geometry that is drawn.

• Ordinal (Ordered categorical) columns are now mapped to ordinal scales. This creates different plots.

• The default mapping for the computed aesthetic size of stat_sum has changed to 'stat(n)'. This also changes the default plot for geom_count.

New Features

• geom_text gained the adjust_text parameter, and can now repel text.
• Added annotation_logticks.
• Added geom_sina
• Added scales for ordinal (ordered categorical) columns.
• geom_step gained the option mid for the direction parameter. The steps are taken mid-way between adjacent x values.
• Added annotation_stripes.

Bug Fixes

• Fixed bug where facetting would fail if done on a plot with annotation(s) and one of the facetting columns was also a variable in the environment.

• Fixed bug where coord_flip would not flip geoms created by geom_rug (GH216).

• Fixed bug where plots with theme_xkcd cannot be saved twice (GH199)

• Fixed bug that made it impossible to map to columns with the same name as a calculated columns of the stat. (GH234)

• Fixed bug in geom_smooth that made it difficult to use it with stats other than stat_smooth. (GH242)

• Fixed bug in position_dodge where by bar plot could get thinner when facetting and useing preserve = 'single'. (GH224)

• Fixed bug in coord_trans where if the transformation reversed the original limits, the order in which the data was laid out remained unchanged. (GH253)

• Fixed bug in stat_count where float weights were rounded and lead to a wrong plot. (GH260)

• Fixed bug where one could not use the British spelling colour to rename a color scale. (GH264)

• Fixed bug in lims, xlim, and ylim where datetime and timedelta limits resulted in an error.

• Fixed bug where geom_rect could not be used with coord_trans. (GH256)

• Fixed bug where using free scales with facetting and flipping the coordinate axes could give unexpected results. (GH286)

• Fixed unwanted tick along the axis for versions of Matplotlib >= 3.1.0.

• Fixed geom_text not to error when using hjust and vjust. (GH287)

• Fixed bug where geom_abline geom_hline and geom_vline could give wrong results when used with coord_trans.

• Fixed bug where layers with only infinite values would lead to an exception if they were the first layer encountered when choosing a scale.

Enhancements

• Legends are now plotted in a predictable order which dedends on how the plot is constructed.

• The spokes drawn by geom_spoke can now have a fixed angle.

• Aesthetics that share a scale (e.g. color and fill can have the same scale) get different guides if mapped to different columns.

• When the transform of a specialised (one that is not and identity scale) continuous scale is altered, the user is warned about a possible error in what they expect. (GH254, GH255)

• The method_args parameter in stat_smooth can now differentiate between arguments for initialising and those for fitting the smoothing model.

• position_nudge can now deal with more geoms e.g. geom_boxplot.

• The limits parameter of scale_x_discrete and scale_y_discrete can now be a function.

• The width of the boxplot can now be set irrespective of the stat.

• The mid-point color of scale_color_distiller now matches that of the trainned data.

• The way in which layers are created has been refactored to give packages that that extend plotnine more flexibility in manipulating the layers.

• You can now specify one sided limits for coordinates. e.g. coord_cartesian(limits=(None, 10)).

• All the themeables have been lifted into the definition of theme so they can be suggested autocomplete.

v0.5.1

This release only updates the version requirement for the mizani project. See changelog

v0.5.0

A copy of the changelog is pasted below.

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API Changes

• Plotnine 0.5.0 only supports Python 3.5 and higher
• geopandas has been removed as a requirement for installation. Users of geom_map will have to install it separately. (178)

Bug Fixes

• Fixed issue where with the subplots_adjust themeable could not be used to set the wspace and hspace Matplotlib subplot parameters. (185)
• Fixed in stat_bin where setting custom limits for the scale leads to an error. (189)
• Fixed issue interactive plots where the x & y coordinates of the mouse do not show. (187)
• Fixed bug in geom_abline where passing the mapping as a keyword parameter lead to a wrong plot. (196)
• Fixed issue where minor_breaks for tranformed scaled would have to be given in the transformed coordinates. Know they are given the data coordinates just like the major breaks.

Enhancements

• For all geoms, with coord_cartesian float('inf') or np.inf are interpreted as the boundary of the plot panel.
• Discrete scales now show missing data (None and nan). This behaviour is controlled by the new na_translate option.
• The minor_breaks parameter for continuous scales can now be given as an integer. An integer is taken to controll the number of minor breaks between any set of major breaks.

v0.4.0

This is a big release with many improvements and bug-fixes.

See the official changelog for details.

Copy of the changelog

API Changes

• Calculated aesthetics are accessed using the stat() function. The old method (double dots ..name..) still works.
• stat_qq calculates slightly different points for the theoretical quantiles.
• The scales (when set to free, free_x or free_y') parameter of facet_grid and facet_wrap assigns the same scale across the rows and columns.

New Features

• Added geom_qq_line and stat_qq_line, for lines through Q-Q plots.
• Added geom_density_2d and geom_stat_2d.
• Added stat_ellipse.
• Added geom_map.
• Plotnine learned to respect plydata groups.
• Added stat_hull.
• Added save_as_pdf_pages().

Bug Fixes

• Fixed issue where colorbars may chop off the colors at the limits of a scale.
• Fixed issue with creating fixed mappings to datetime and timedelta type values.(GH88)
• Fixed scale_x_datetime and scale_y_datetime to handle the intercepts along the axes (GH97).
• Fixed stat_bin and stat_bin_2d to properly handle the breaks parameter when used with a transforming scale.
• Fixed issue with x and y scales where the name of the scale was ignored when determining the axis titles. Now, the name parameter is specified, it is used as the title. (GH105)
• Fixed bug in discrete scales where a column could not be mapped to integer values. (GH108)
• Make it possible to hide the legend with theme(legend_position='none'). (GH119)
• Fixed issue in stat_summary_bin where some input values gave an error. (GH123)
• Fixed geom_ribbon to sort data before plotting. (GH127)
• Fixed IndexError in facet_grid when row/column variable has 1 unique value. (GH129)
• Fixed facet_grid when scale='free', scale='free_x' or scale='free_y', the panels share axes along the row or column.
• Fixed geom_boxplot so that user can create a boxplot by specifying all required aesthetics. (GH136)
• Fixed geom_violin to work when some groups are empty. (GH131)
• Fixed continuous scales to accept minor=None (GH120)
• Fixed bug for discrete position scales, where drop=False did not drop unused categories (GH139)
• Fixed bug in stat_ydensity that caused an exception when a panel had no data. (GH147)
• Fixed bug in coord_trans where coordinate transformation and facetting could fail with a KeyError. (GH151)
• Fixed bug that lead to a TypeError when aesthetic mappings to could be recognised as being groupable. It was easy to stumble on this bug when using geom_density. (GH165)
• Fixed bug in facet_wrap where some combination of parameters lead to unexpected panel arrangements. (GH163)
• Fixed bug where the legend text of colorbars could not be themed. (GH171)

v0.3.0

Big release with known bugs fixed and new features.

A copy of the changelog is pasted below.

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API Changes

• ~plotnine.geoms.geom_smooth gained an extra parameter
  legend_fill_ratio that control the area of the legend that is
  filled to indicate confidence intervals. (32)
• plotnine.ggplot.save gained an extra parameter verbose. It no
  longer guesses when to print information and when not to.
• plotnine.ggplot.draw gained an extra parameter return_ggplot.
• If the minor_breaks parameter of scales is a callable, it now
  expects one argument, the limits. Previously it accepted breaks
  and limits.

New Features

• Added ~plotnine.animation.PlotnineAnimation for animations.
• Added ~plotnine.watermark.watermark for watermarks.
• Added datetime scales for alpha, colour, fill and size
  aesthetics

Enhancements

• Changed parameter settings for ~plotnine.stats.stat_smooth.

  1. Default span=0.75 instead of 2/3
  2. When using loess smoothing, the control parameter surface is
     only set to the value 'direct' if predictions will be made
     outside the data range.

• Better control of scale limits. You can now specify individual
  limits of a scale.

  scale_y_continuous(limits=(0, None))
  xlim(None, 100)
  

  You can also use ~plotnine.scales.expand_limits

• Low and high ~plotnine.scales.scale limits can now be expanded
  separately with different factors multiplicative and additive
  factors.

• The layer parameter show_legend can now accept a dict for finer
  grained control of which aesthetics to exclude in the legend.

• Infinite values are removed before statistical computations stats
  (40).

  stats also gained new parameter na_rm, that controls whether
  missing values are removed before statistical computations.

• ~plotnine.qplot can now use the name and a Pandas series to label
  the scales of the aesthetics.

• You can now put stuff to add to a ggplot object into a list and add
  that that instead. No need to wrap the list around the internal
  class Layers.

  lst = [geom_point(), geom_line()]
  g = ggplot(df, aes('x', 'y'))
  print(g + lst)
  

  Using a list allows you to bundle up objects. It can be convenient
  when creating some complicated plots. See the Periodic Table
  Example.

Bug Fixes

• Fixed bug where facetting led to a reordering of the data. This
  would manifest as a bug for geoms where order was important. (26)
• Fix bug where facetting by a column whose name (eg. class) is a
  python keyword resulted in an exception. (28)
• Fix bug where y-axis scaling was calculated from the xlim
  argument.
• Fix bug where initialising geoms from stats, and positions from
  geoms, when passed as classes (e.g. stat_smooth(geom=geom_point),
  would fail.
• Fixed bug in plotnine.ggplot.save where s

Version 0.2.0

Fixes

• Fixed bug in scale_x_discrete and scale_y_discrete where if they were instantiated with parameter limits that is either a numpy array or a pandas series, plotting would fail with a ValueError.
• Fixed exceptions when using pandas.pivot_table() for Pandas v0.20.0. The API was fixed.
• Fixed issues where lines/paths with segments that all belonged in the same group had joins that in some cases were “butted”.

API Changes

• geom_text now uses ha and va as parameter names for the horizontal and vertical alignment. This is what matplotlib users expect. The previous names hjust and vjust are silently accepted.
• Layers() can now be used to bundle up geoms and stats. This makes it easy to reuse geoms and stats or organise them in sensible bundles when making complex plots.

Version 0.1.0

First public release