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.. _howto-document:
A Guide to NumPy Documentation
==============================
User documentation
******************
- In general, we follow the
`Google developer documentation style guide <https://developers.google.com/style>`_.
- NumPy style governs cases where:
- Google has no guidance, or
- We prefer not to use the Google style
Our current rules:
- We pluralize *index* as *indices* rather than
`indexes <https://developers.google.com/style/word-list#letter-i>`_,
following the precedent of :func:`numpy.indices`.
- For consistency we also pluralize *matrix* as *matrices*.
- Grammatical issues inadequately addressed by the NumPy or Google rules are
decided by the section on "Grammar and Usage" in the most recent edition of
the `Chicago Manual of Style
<https://en.wikipedia.org/wiki/The_Chicago_Manual_of_Style>`_.
- We welcome being
`alerted <https://github.com/numpy/numpy/issues>`_ to cases
we should add to the NumPy style rules.
Docstrings
**********
When using `Sphinx <http://www.sphinx-doc.org/>`__ in combination with the
numpy conventions, you should use the ``numpydoc`` extension so that your
docstrings will be handled correctly. For example, Sphinx will extract the
``Parameters`` section from your docstring and convert it into a field
list. Using ``numpydoc`` will also avoid the reStructuredText errors produced
by plain Sphinx when it encounters numpy docstring conventions like
section headers (e.g. ``-------------``) that sphinx does not expect to
find in docstrings.
Some features described in this document require a recent version of
``numpydoc``. For example, the **Yields** section was added in
``numpydoc`` 0.6.
It is available from:
* `numpydoc on PyPI <https://pypi.python.org/pypi/numpydoc>`_
* `numpydoc on GitHub <https://github.com/numpy/numpydoc/>`_
Note that for documentation within numpy, it is not necessary to do
``import numpy as np`` at the beginning of an example. However, some
sub-modules, such as ``fft``, are not imported by default, and you have to
include them explicitly::
import numpy.fft
after which you may use it::
np.fft.fft2(...)
Please use the numpydoc `formatting standard`_ as shown in their example_
.. _`formatting standard`: https://numpydoc.readthedocs.io/en/latest/format.html
.. _example: https://numpydoc.readthedocs.io/en/latest/example.html
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