Building the NumPy API and reference docs
We currently use Sphinx for generating the API and reference documentation for NumPy. You will need Sphinx 1.8.3 or newer.
If you only want to get the documentation, note that pre-built versions can be found at
in several different formats.
If you obtained NumPy via git, get also the git submodules that contain additional parts required for building the documentation:
git submodule init git submodule update
In addition, building the documentation requires the Sphinx extension plot_directive , which is shipped with Matplotlib. This Sphinx extension can be installed by installing Matplotlib. You will also need python3.6.
Since large parts of the main documentation are obtained from numpy via
import numpy and examining the docstrings, you will need to first build
NumPy, and install it so that the correct version is imported.
Note that you can eg. install NumPy to a temporary location and set the PYTHONPATH environment variable appropriately.
After NumPy is installed, install SciPy since some of the plots in the random
scipy.special to display properly. Now you are ready to
generate the docs, so write:
doc/ directory. If all goes well, this will generate a
build/html subdirectory containing the built documentation. If you get
a message about
installed numpy != current repo git version, you must
either override the check by setting
GITVER or re-install NumPy.
Note that building the documentation on Windows is currently not actively supported, though it should be possible. (See Sphinx documentation for more information.)
To build the PDF documentation, do instead:
make latex make -C build/latex all-pdf
You will need to have Latex installed for this.
Instead of the above, you can also do:
which will rebuild NumPy, install it to a temporary location, and build the documentation in all formats. This will most likely again only work on Unix platforms.
NumPy’s documentation uses several custom extensions to Sphinx. These
are shipped in the
sphinxext/ directory (as git submodules, as discussed
above), and are automatically enabled when building NumPy’s documentation.