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New in matplotlib 0.99

New documentation

Jae-Joon Lee has written two new guides Legend guide and Advanced Annotation. Michael Sarahan has written Image tutorial. John Hunter has written two new tutorials on working with paths and transformations: Path Tutorial and Transformations Tutorial.


Reinier Heeres has ported John Porter’s mplot3d over to the new matplotlib transformations framework, and it is now available as a toolkit mpl_toolkits.mplot3d (which now comes standard with all mpl installs). See mplot3d Examples and mplot3d tutorial

(Source code, png, pdf)


axes grid toolkit

Jae-Joon Lee has added a new toolkit to ease displaying multiple images in matplotlib, as well as some support for curvilinear grids to support the world coordinate system. The toolkit is included standard with all new mpl installs. See axes_grid Examples and The Matplotlib AxesGrid Toolkit User’s Guide.

(Source code, png, pdf)


Axis spine placement

Andrew Straw has added the ability to place “axis spines” – the lines that denote the data limits – in various arbitrary locations. No longer are your axis lines constrained to be a simple rectangle around the figure – you can turn on or off left, bottom, right and top, as well as “detach” the spine to offset it away from the data. See pylab_examples example code: and matplotlib.spines.Spine.

(Source code, png, pdf)