Matplotlib: Visualization with Python

Highlights of this release include: Plotting and Annotation improvements Axes.inset_axes is no longer experimental Legend support for Boxplot Percent sign in pie labels auto-escaped with usetex=True hatch parameter for stackplot Add option to plot only one half of violin plot axhline and axhspan on polar axes Subplot titles can now be automatically aligned axisartist can now be used together with standard Formatters Toggle minorticks on Axis StrMethodFormatter now respects axes.unicode_minus Figure, Axes, and Legend Layout Subfigures now have controllable zorders Getters for xmargin, ymargin and zmargin Mathtext improvements mathtext documentation improvements mathtext spacing corrections Widget Improvements Check and Radio Button widgets support clearing 3D plotting improvements Setting 3D axis limits now set the limits exactly Other improvements New BackendRegistry for plotting backends Add widths, heights and angles setter to EllipseCollection image.interpolation_stage rcParam Arrow patch position is now modifiable NonUniformImage now has mouseover support