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Release_Notes.md

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Release Notes

0.0.1

In this early version, the following plot types are supported:

  • line
  • point
  • scatter
  • bar
  • histogram

In the near future many more will be implemented as horizontal barplot, boxplots,pie-charts, etc.

Pandas-Bokeh is a high-level API for Bokeh. Nevertheless there are many options for customizing the plots, for example:

  • figsize: Choose width & height of the plot
  • title: Sets title of the plot
  • xlim/ylim: Set visibler range of plot for x- and y-axis (also works for datetime x-axis)
  • xlabel/ylabel: Set x- and y-labels
  • logx/logy: Set log-scale on x-/y-axis
  • xticks/yticks: Explicitly set the ticks on the axes
  • colormap: Defines the colors to plot. Can be either a list of colors or the name of a Bokeh color palette
  • hovertool: If True a Hovertool is active, else if False no Hovertool is drawn.

Plots like scatterplot or histogram also have many more additional customization options.

0.0.2:

Changes:

  • Fixed Error when importing Pandas-Bokeh in Python 2.7
  • Small refactoring and Black code formatting

0.1

Changes:

General

  • WebGL now as plotting backend as default
  • Code Refactoring & many bugfixes
  • Added panning/zooming keyword options
  • Toolbar now visible per default
  • Kwargs names are checked in columns of DataFrame/Series and kept if there is a match, such that additional keyword arguments can be used to specify for example line_width or alpha value of plots
  • Improved Functionalities (row, column) for Pandas-Bokeh Layouts
  • Added <hovertool_string> for providing an HTML string to the hovertool
  • Many additional customization arguments

DataFrames

  • Additional plot types:
    • areaplots (with stacked and normed kwargs)
    • horizontal & stacked barplots
    • piecharts
    • mapplot
  • Added accessors similar to the pandas.DataFrame.plot API:
    • df.plot_bokeh(kind="line", ...) → df.plot_bokeh.line(...)
    • df.plot_bokeh(kind="bar", ...) → df.plot_bokeh.bar(...)
    • df.plot_bokeh(kind="hist", ...) → df.plot_bokeh.hist(...)
    • ...
  • Smarter x-axis formatting for barplots when using datetimes
  • Histogram parameter also accepts integers (to specify number of bins)
  • Added support for categorical x-axis for all plot types (line, scatter, area, ...)
  • Smarter autodetection of x- and y-labels

GeoDataFrames

  • Added <tile_attribution> & <tile_alpha> parameter for background tiles of geoplots
  • Support for xlim & ylim in WGS84 (Latitude/Longitude) for geoplots
  • Greatly Improved performance for Polygon Geoplots

0.1.1

  • Refactoring of mapplot API (calls GeoPandas API of Pandas-Bokeh), such that all options of GeoPandas.GeoDataFrame.plot_bokeh are available.
  • Allow passing a Pandas_Bokeh figure to overlay geoplots (not fully supported for category/dropdown/slider yet)
  • Bug Fix for new Pandas 0.24 release
  • Implementation of first tests

0.2

  • PySpark support
  • Zeppelin Notebooks support
  • Added "disable_scientific_axes" option for Plots
  • Bugfixes
  • Implementation of number_format keyword for line, scatterplots
  • Official support also for Python 3.4 & 3.5

0.3

  • Official Pandas backend switch support for pandas >= 0.25
  • Add stepplot
  • Add support for colormap ticker formatting in Geoplots
  • Support for multipolygons & holes in Geoplots
  • Bugfixes
  • conda support

0.4

  • Rangetool support
  • Autoscaling support using the sizing_mode keyword
  • Bugfixes

0.4.1

  • speedup when plotting GeoDataFrames

0.4.2

  • Bugfixes

0.4.3

  • Bugfixes (#55-Multipolygon plotting error)
  • Improvements with sizing & zooming (#61)

0.5

  • Implementation of geometry_column-parameter for geoplots (#14 Plotting LineString)
  • Fix of deprecation warnings for Bokeh >= 2.0 and future minimum requirement Bokeh>=2.0 (#51-BokehDeprecationWarnings with Bokeh v1.4.0, #59-Bokeh 2.0 is imminent)
  • Fix of Problem with Datetime Hovertool columns with Bokeh>=2.0 (#60-Hovertool datetime shows as percentage.)
  • Fix broken Dropdown and Slider for Geoplots (#68 Not compatible with Bokeh 2.x)
  • Added fontsize settings for Labels, Title and Ticks

0.5.1

  • bugfixes

0.5.2

  • bugfixes

0.5.3

  • keep aspect ratio for map-plots
  • add support for Bokeh 2.3

0.5.4

  • fix problem with Pandas Extension-Datatypes (#94)
  • fix problem when passing string-values to bins (#96)

0.5.5

  • Display adaptive xticks per default

0.6.0

  • Drop support for Python 3.6
  • Rename plot_height -> height, plot_width -> width in pandas_bokeh.plot_grid interface
  • Bugfixes (thanks @vroger11, @Sigmun, @ToniSkulj)
  • Drop support for Python3.8
  • Add support for Python3.10 and Python3.11