pandas_alive v0.2.3

• 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.