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DOC : Major work to FAQ pages and devel guide
closes #3115 closes #2198 - strengthen suggestion to use auto pep8 checker - added example minimal numpydoc docstring - formatting - tweaked suggested imports to make copy-paste easier - updated list of versions of python - github PR as primary mode of communication - Added map of major parts of a figure - removed reference to pythonbrew (which has been deprecated) - moved tox section to very end as the docs and the tox file are both very out of date.
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‎doc/_templates/index.html

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@@ -63,18 +63,12 @@ <h1>Introduction</h1>
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For a sampling, see the <a href="{{ pathto('users/screenshots') }}">screenshots</a>, <a href="{{ pathto('gallery') }}">thumbnail</a> gallery, and
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<a href="examples/index.html">examples</a> directory</p>
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<p>For example, using <tt>"%pylab"</tt> in the IPython shell for
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an interactive environment, to generate 10,000 gaussian random numbers
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and plot a histogram with 100 bins, you simply need to
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type</p>
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<pre>
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x = randn(10000)
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hist(x, 100)</pre>
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<p>For the power user, you have full control of line styles, font
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properties, axes properties, etc, via an object oriented interface
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or via a set of functions familiar to MATLAB users.</p>
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<p>For simple plotting the <pre>pyplot</pre> interface provides a
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MATLAB-like interface, particularly when combined
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with <pre>IPython</pre>. For the power user, you have full control
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of line styles, font properties, axes properties, etc, via an object
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oriented interface or via a set of functions familiar to MATLAB
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users.</p>
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<div style="float: right; min-width: 450px; width: 50%; padding-left: 5%;">
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<h1>John Hunter (1968-2012)</h1>
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<h4>Other learning resources</h4>
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<p>There are many <a href="{{ pathto('resources/index') }}">external learning
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<p>There are many <a href="{{ pathto('resources/index') }}">external learning
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resources</a> available including printed material, videos and tutorials.</p>
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<h4>Need help?</h4>

‎doc/devel/coding_guide.rst

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<http://www.python.org/dev/peps/pep-0008/>`_. Exceptions to these
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rules are acceptable if it makes the code objectively more readable.
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- You may want to consider installing automatic PEP8 checking in
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your editor.
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- You should consider installing/enabling automatic PEP8 checking in your
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editor. Part of the test suite is checking PEP8 compliance, things
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go smoother if the code is mostly PEP8 compliant to begin with.
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* No tabs (only spaces). No trailing whitespace.
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-------------
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* Every new feature should be documented. If it's a new module, don't
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forget to add it to the API docs.
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forget to add a new rst file to the API docs.
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* Docstrings should be in `numpydoc format
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<https://github.com/numpy/numpy/blob/master/doc/HOWTO_DOCUMENT.rst.txt>`_.
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Don't be thrown off by the fact that many of the existing docstrings
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are not in that format. We are working to standardize on
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are not in that format; we are working to standardize on
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`numpydoc`.
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Docstrings should look like (at a minimum)::
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def foo(bar, baz=None):
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"""
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This is a prose description of foo and all the great
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things it does.
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Parameters
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----------
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bar : (type of bar)
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A description of bar
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baz : (type of baz), optional
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A description of baz
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Returns
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-------
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foobar : (type of foobar)
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A description of foobar
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foobaz : (type of foobaz)
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A description of foobaz
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"""
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# some very clever code
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return foobar, foobaz
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* Each high-level plotting function should have a simple example in
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the `Example` section. This should be as simple as possible to
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demonstrate the method. More complex examples should go in the
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`examples` tree.
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the `Example` section of the docstring. This should be as simple as
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possible to demonstrate the method. More complex examples should go
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in the `examples` tree.
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* Build the docs and make sure all formatting warnings are addressed.
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‎doc/devel/gitwash/development_workflow.rst

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Development workflow
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====================
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You've discovered a bug or something else you want to change
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in matplotlib_ .. |emdash| excellent!
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You've worked out a way to fix it |emdash| even better!
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You want to tell us about it |emdash| best of all!
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The easiest way to contribute to matplotlib_ is through github_. If
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for some reason you don't want to use github, see
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:ref:`making-patches` for instructions on how to email patches to the
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mailing list.
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You already have your own forked copy of the matplotlib_ repository, by
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following :ref:`forking`, :ref:`set-up-fork`, and you have configured
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git_ by following :ref:`configure-git`.
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to the main matplotlib_ development repo. Your ``master`` then will follow
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the main matplotlib_ repository.
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* Start a new *feature branch* for each set of edits that you do.
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* If you can avoid it, try not to merge other branches into your feature
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branch while you are working.
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* Do not merge the ``master`` branch or maintenance tracking branches
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into your feature branch. If you need to include commits from upstream
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branches (either to pick up a bug fix or to resolve a conflict) please
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*rebase* your branch on the upstream branch.
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* Ask for review!
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This way of working really helps to keep work well organized, and in
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#. To push the changes up to your forked repo on github_, do a ``git
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Asking for code review
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======================
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#. Go to your repo URL |emdash| e.g.,
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``http://github.com/your-user-name/matplotlib``.
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#. Click on the *Branch list* button:
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.. image:: branch_list.png
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Asking for code review |emdash| open a Pull Request (PR)
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========================================================
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#. Click on the *Compare* button for your feature branch |emdash| here ``my-new-feature``:
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.. image:: branch_list_compare.png
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It's a good idea to consult the :ref:`pull-request-checklist` to make
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sure your pull request is ready for merging.
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#. If asked, select the *base* and *comparison* branch names you want to
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compare. Usually these will be ``master`` and ``my-new-feature``
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(where that is your feature branch name).
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#. At this point you should get a nice summary of the changes. Copy the
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URL for this, and post it to the `matplotlib mailing list`_, asking for
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review. The URL will look something like:
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``http://github.com/your-user-name/matplotlib/compare/master...my-new-feature``.
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There's an example at
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http://github.com/matthew-brett/nipy/compare/master...find-install-data
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See: http://github.com/blog/612-introducing-github-compare-view for
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more detail.
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The generated comparison, is between your feature branch
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``my-new-feature``, and the place in ``master`` from which you branched
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``my-new-feature``. In other words, you can keep updating ``master``
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without interfering with the output from the comparison. More detail?
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Note the three dots in the URL above (``master...my-new-feature``) and
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see :ref:`dot2-dot3`.
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#. Go to your repo URL |emdash| e.g.,
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``http://github.com/your-user-name/matplotlib``.
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It's a good idea to consult the :ref:`pull-request-checklist` to make
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sure your pull request is ready for merging.
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#. Select your feature branch from the drop down menu:
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Asking for your changes to be merged into the main repo
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=======================================================
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#. Click on the green button:
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When you are ready to ask for the merge of your code:
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#. Make sure that you are requesting a pull against the correct branch
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#. Go to the URL of your forked repo, say
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``http://github.com/your-user-name/matplotlib.git``.
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#. Click on the 'Pull request' button:
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#. Enter a PR heading and description (if there is only one commit in
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the PR github will automatically fill these fields for you). If
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this PR is addressing a specific issue, please reference it by number
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(ex #1325) which github will automatically make into links.
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.. image:: pull_button.png
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#. Click 'Create Pull Request' button!
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Enter a message; we suggest you select only ``matplotlib`` as the
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recipient. The message will go to the `matplotlib mailing list`_. Please
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feel free to add others from the list as you like.
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#. Discussion of the change will take place in the pull request
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thread.
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#. If the branch is to be merged into a maintenance branch on the main
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repo, make sure the "base branch" indicates the maintenance branch
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and not master. Github can not automatically determine the branch
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to merge into.
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Staying up to date with changes in the central repository
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=========================================================

‎doc/devel/gitwash/forking_hell.rst

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.. image:: forking_button.png
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Now, after a short pause and some 'Hardcore forking action', you
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should find yourself at the home page for your own forked copy of matplotlib_.
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Now, after a short pause you should find yourself at the home page
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for your own forked copy of matplotlib_.
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.. include:: links.inc

‎doc/devel/gitwash/index.rst

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git_intro
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git_install
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following_latest
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patching
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git_development
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git_resources
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patching

‎doc/devel/gitwash/patching.rst

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Making a patch
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================
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You've discovered a bug or something else you want to change
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in matplotlib_ .. |emdash| excellent!
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You want to tell us about it |emdash| best of all!
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The easiest way is to make a *patch* or set of patches. Here
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we explain how. Making a patch is the simplest and quickest,
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but if you're going to be doing anything more than simple
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quick things, please consider following the
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:ref:`git-development` model instead.
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===================================
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more feature branches, you will probably want to switch to
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development mode. You can do this with the repository you
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# rename pointer to main repository to 'upstream'
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git remote rename origin upstream
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# point your repo to default read / write to your fork on github
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‎doc/devel/index.rst

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.. _developers-guide-index:
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####################################
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The Matplotlib Developers' Guide
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####################################
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################################
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The Matplotlib Developers' Guide
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################################
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.. htmlonly::
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‎doc/devel/portable_code.rst

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from __future__ import (absolute_import, division,
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print_function, unicode_literals)
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This will make the Python 2 interpreter behave as close to Python 3 as
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gets used *a lot*::
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gets used *a lot*.
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Finding places to use six
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^^^^^^^^^^^^^^^^^^^^^^^^^

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