The Matplotlib Developers’ Guide

Release:2.0.0b4.post105.dev0+g6083015 Date:September 25, 2016

• Coding guide
  • Pull request checklist
  • Style guide
  • Hints
• Writing code for Python 2 and 3
  • Welcome to the __future__
  • Finding places to use six
  • The dreaded \u escapes
  • Iteration
  • Numpy-specific things
• Licenses
  • Why BSD compatible?
• Working with matplotlib source code
  • Introduction
  • Install git
  • Following the latest source
  • Git for development
  • git resources
  • Making a patch
• Testing
  • Requirements
  • Building matplotlib for image comparison tests
  • Running the tests
  • Writing a simple test
  • Writing an image comparison test
  • Known failing tests
  • Creating a new module in matplotlib.tests
  • Using Travis CI
  • Using tox
• Documenting matplotlib
  • Getting started
  • Organization of matplotlib’s documentation
  • Formatting
  • Figures
  • Referring to mpl documents
  • Internal section references
  • Section names, etc
  • Inheritance diagrams
  • Emacs helpers
• Doing a matplotlib release
  • Testing
  • Branching
  • Packaging
  • Update PyPI
  • Documentation updates
  • Announcing
• Working with transformations
  • matplotlib.transforms
• Adding new scales and projections to matplotlib
  • Creating a new scale
  • Creating a new projection
  • API documentation
• Default Color changes
  • Default Heat Map Colormap
  • Default Scatter Colormap
  • Color Cycle / Qualitative color map
• Matplotlib Enhancement Proposals
  • MEP Template
  • MEP8: PEP8
  • MEP9: Global interaction manager
  • MEP10: Docstring consistency
  • MEP11: Third-party dependencies
  • MEP12: Improve Gallery and Examples
  • MEP13: Use properties for Artists
  • MEP14: Text handling
  • MEP15 - Fix axis autoscaling when limits are specified for one axis only
  • MEP19: Continuous Integration
  • MEP21: color and cm refactor
  • MEP22: Toolbar rewrite
  • MEP23: Multiple Figures per GUI window
  • MEP24: negative radius in polar plots
  • MEP25: Serialization
  • MEP26: Artist styling
  • MEP27: decouple pyplot from backends