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4.0.5 (2023-10-12)

  • Relaxed scipy and pandas version requirements to allow verions 2.x

4.0.4 (2023-08-23)

  • Documentation build fix
  • Pin tornado requirement to reduce vulnerability

4.0.3 (2023-04-21)

  • Require jupyter_bokeh to enable html output

4.0.2 (2023-03-30)

  • Fix categorical_order_by check for scatter plot
  • Fix categorical_order_by check for _construct_source
  • Refactor category sorting in _construct_source
  • Add tests for categorical_order_by
  • Fix scatter plot tests that used line plots

4.0.1 (2023-03-24)

  • Updated version requirement of pillow to avoid bug

4.0.0 (2023-03-23)

  • Dropped support for python 3.6 and 3.7

3.1.0 (2023-03-22)

  • Added Boxplot Chart including example in examples notebook

3.0.5 (2022-12-13)

  • Fixed a few errors in example and tutorial notebooks
  • Fixed a typo in requirements.txt

3.0.4 (2022-10-18)

  • Updated package requirements
  • Got rid of future deprecation warnings
  • Bugfix related to legend for graphs with multiple groups and colors

3.0.2 (2020-10-21)

  • Support pyyaml 5.2+

3.0.1 (2020-06-02)

  • Reduce dependencies by switching from Jupyter to IPython.

3.0.0 (2020-05-29)

  • Updated Python to 3.6+ and Pandas to 1.0+ (Thanks @tomasaschan!)
  • Updated Bokeh to 2.0+
  • Removed colour dependency to fix setup errors.

2.7.0 (2019-11-27)

Bugfixes:

  • Updated default yaml loader to move off of deprecated method (Thanks @vh920!)
  • Updated legend handling to adjust for deprecated methods in recent versions of Bokeh (Thanks for reporting @jpkoc)
  • Updated license in setup.py (Thanks for reporting @jsignell)
  • Bump base Pillow dependency to avoid insecure version.
  • Update MANIFEST to include missing files (Thanks @toddrme2178!)

2.6.1 (2019-08-15)

Bugfixes:

  • Moved package requirements and fixed bug that occured with latest version of Bokeh (Thanks @emschuch & @mollymzhu!)
  • Fixed bug in README while generating docs (Thanks @Bharat123rox!)

2.6.0 (2019-03-08)

Improvements:

  • Allows users to plot colors on bar charts that aren't contained in the categorical axis.

Bugfixes:

  • Fixed bug that caused float types to break when plotted with categorical text plots (Thanks for finding @danela!)
  • Fixed broken readme links.

2.5.0 (2019-02-17)

Improvements:

  • Added Radar Chart

2.4.0 (2019-02-16)

Improvements:

  • Added second Y axis plotting.
  • Removed Bokeh loading notification on import (Thanks @canavandl!)
  • Added support for custom Bokeh resource loading (Thanks @canavandl!)
  • Added example for Chart.save() method (Thanks @david30907d!)

Bugfixes:

  • Updated documentation for saving and showing svgs.
  • Fixed bug that broke plots with no difference between min and max points. (Thanks for finding @fabioconcina!)

2.3.5 (2018-11-21)

Improvements:

  • Updated docstrings (Thanks @gregorybchris @ItsPugle!)
  • Added SVG output options to Chart.show() and Chart.save() (Thanks for the suggestion @jdmendoza!)

Bugfixes:

  • Fixed bug that caused source label to overlap with xaxis labels.
  • Fixed bug that prevented x axis orientation changes with datetime axes (Thanks for finding @simonwongwong!)
  • Fixed bug that caused subtitle to disappear with outside_top legend location (Thanks for finding @simonwongwong!)
  • Line segment callout properties will work correctly. (Thanks @gregorybchris!)

2.3.4 (2018-11-13)

  • Updated Bokeh version requirements to support 1.0

2.3.3 (2018-10-24)

  • Removed upper bound of Pillow dependency.

2.3.2 (2018-10-18)

  • Stacked bar and area order now matches default vertical legend order.
  • Added method for shifting color palettes.
  • Added scatter plots with a single categorical axis.
  • Fixed bug with text_stacked that occurred with multiple categorical levels.

2.3.1 (2018-09-27)

  • Fix scatter plot bug that can occur due to nested data types.

2.3.0 (2018-09-26)

  • Added hexbin plot type.
  • More control over grouped axis label orientation.
  • Added alpha control to scatter, line, and parallel plots.
  • Added control over marker style to scatter plot.
  • Added ability to create custom color palettes.
  • Changed default accent color.
  • Visual tweaks to lollipop plot.
  • Bar plots with a few number of series will have better widths.

2.2.0 (2018-09-17)

  • First release on PyPI.