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Welcome to mpl_visual_context's documentation!

A collection of tools that provide more visual context to your Matplotlib plots.:

_static/images/mpl-visual-context-demo.png

Modules

PathEffects

  • Composable PathEffects : PatheEffects can be pipelined to create customize effects.
pe = [HLSModify(l=0.8) | FillOnly(),
      StrokeColorFromFillColor() | StrokeOnly()]
a.set_path_effects(pe)

Check :doc:`userguide-patheffects` for more information.

ImageBox

Installation
pip install mpl_visual_context
Getting Help

If you have a question on how to do something with mpl_visual_context a great place to ask it is: https://discourse.matplotlib.org/c/3rdparty/18.

.. toctree::
   :maxdepth: 2

   USERGUIDE
   examples/index
   API
   Contributing



Indices and tables