Pandas_Alive：基于的Pandas动图生成扩展

• Fixed an ongoing problem with animate_multiple_plots when re-using a line or scatter chart. Corresponding subplots would show a static figure from a previous single animation.
• Fixed fig= for single animations not being passed properly as a custom figure.
• Several performance improvements to speed up loops in animations.
• Fixed a problem with line and scatter plots being chopped off near the vertical limit values.
• Added a colorbar with bubble plots when a Pandas df column is passed as a colour. Currently only for individual animations.
• Added options for bubble plots above to control the colorbar scale limits with vmin & vmax. If None, then they are automatically calculated.
• Added option add_legend= for line and scatter animations for single & multiple plots. Default is True.
• Added the option enable_progress_bar= to animate_multiple_plots. Default is False.
• Improved the ability to re-use figures & axes in a notebook for multiple plots. Occasionally, these used to carry over old frames into a new animation.
• Made animate_multiple_plots to create a Figure() instance instead of a figure() one. Note that matplotlib can take twice as long to generate animations with the latter instance type. Not clear why.
• Added a new folder ./examples/test_notebooks/ for future collaborators to add new notebooks.
• Removed the limitation for the interpolation (interpolate_period=) only to work with a DateTime index. It should now work with any numeric df index.

0.2.2 - 2020-06-04

• Additional error catching with warnings for modules not being installed
• Add both attrs and pillow as dependancies, so users can install with pip and have it just work

• Officially changing to version format with YYYY.MM.VERSION
• Hotfix for anaconda environment throwing an error:
  • ufunc 'isfinite' not supported for the input types, and the inputs could not be safely coerced to any supported types according to the casting rule ''safe''

[0.1.14] - 2020-05-23

• Progress bars (thanks to tqdm can now be enabled with `df.plot_animated(enable_progress_bar=True)
• Writer can now be specified with df.plot_animated(writer="imagemagick")
  • Pillow is now explicitly unsupported, see relevant issue here #5

This release is solely to trigger github actions to rebuild docs

• fixed_max optional for all chart
• fixed_max amended to work with multiple plots