[Numpy-discussion] Improving Docs on Wiki
Stéfan van der Walt
Fri Mar 21 05:21:24 CDT 2008
On Fri, Mar 21, 2008 at 9:55 AM, <email@example.com> wrote:
> I want to know if creating individual documentation for each numpy
> routine on the scipy.org wiki would, for some administrative reason
> (or other) be frowned upon. Here is an example of what I'd like to do
> for all of numpy's routines. http://www.scipy.org/sort.
Thank you very much for contributing to NumPy. Your timing is
perfect, today being our third doc-day -- I hope others join us as
well at #scipy on freenode.net, as we improve the documentation
coverage. In a discussion with Fernando and Gael, we've come up with
The wiki is a great place for users to add documentation, since it
doesn't require special permissions, but we shall run into naming
conflicts if we create top-level pages for all the numpy functions
(some also exist in scipy, for example). I have created a
NumpyDocstrings category on the wiki, and suggest that we organise the
functions underneath it according to their numpy subpackage, e.g.
If you need to know where a function belongs, use IPython's "?" to inspect it:
In : np.core.sort?
For these pages to be truly useful, we should re-absorb them into the
NumPy docstrings. This would be difficult to do using Moin markup, so
let's use ReST throughout. The suggested procedure is therefore:
1. Create NumpyDocstrings/subpackage/funcname
2. Start out the page with the following template:
3. Copy the current docstring into the page (inside the rst section).
4. Update the docstring, using the format suggested in
>From these pages, we can then automatically generate patches to the
We also have a NumPy Examples List on the wiki. Many of these should
be incorporated into the docstrings as examples. Using IPython,
switch into doctest_mode:
In : %doctest_mode
*** Pasting of code with ">>>" or "..." has been enabled.
Exception reporting mode: Plain
Doctest mode is: ON
Here you can generate examples for use in the "Examples" section,
while still having access to the enhanced capabilities of IPython.
These guidelines should provide us with a system which preserves but
enhances the current doctests, with the possibility of re-integrating
community contributions back into the source tree.
Thanks again for your help.
More information about the Numpy-discussion