doc
Folders and files
Name | Name | Last commit date | ||
---|---|---|---|---|
parent directory.. | ||||
Matplotlib documentation ======================== Building the documentation -------------------------- To build the documentation, you will need additional dependencies: * Sphinx-1.3 or later (version 1.5.0 is not supported) * numpydoc 0.4 or later * IPython * mock * colorspacious * pillow * graphviz All of these dependencies *except graphviz* can be installed through pip:: pip install -r ../doc-requirements.txt or all of them via conda and pip:: conda install sphinx numpydoc ipython mock graphviz pillow \ sphinx-gallery pip install colorspacious To build the HTML documentation, type ``python make.py html`` in this directory. The top file of the results will be ./build/html/index.html **Note that Sphinx uses the installed version of the package to build the documentation**: Matplotlib must be installed *before* the docs can be generated. You can build the documentation with several options: * `--small` saves figures in low resolution. * `--allowsphinxwarnings`: Don't turn Sphinx warnings into errors. * `-n N` enables parallel build of the documentation using N process. Organization ------------- This is the top level build directory for the Matplotlib documentation. All of the documentation is written using sphinx, a python documentation system built on top of ReST. This directory contains * users - the user documentation, e.g., plotting tutorials, configuration tips, etc. * devel - documentation for Matplotlib developers * faq - frequently asked questions * api - placeholders to automatically generate the api documentation * mpl_toolkits - documentation of individual toolkits that ship with Matplotlib * make.py - the build script to build the html or PDF docs * index.rst - the top level include document for Matplotlib docs * conf.py - the sphinx configuration * _static - used by the sphinx build system * _templates - used by the sphinx build system * sphinxext - Sphinx extensions for the mpl docs * mpl_examples - a link to the Matplotlib examples in case any documentation wants to literal include them