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‎doc/devel/MEP/MEP12.rst

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@@ -141,8 +141,8 @@ page instead of the gallery examples.
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references to that example. For example, the API documentation for
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`axes.py` and `pyplot.py` may use these examples to generate
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plots. Use your favorite search tool (e.g., grep, ack, `grin
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<http://pypi.python.org/pypi/grin>`_, `pss
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<http://pypi.python.org/pypi/pss>`_) to search the matplotlib
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<https://pypi.python.org/pypi/grin>`_, `pss
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<https://pypi.python.org/pypi/pss>`_) to search the matplotlib
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package. See `2dc9a46
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<https://github.com/tonysyu/matplotlib/commit/2dc9a4651e5e566afc0866c603aa8d06aaf32b71>`_
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and `aa6b410
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navigate the gallery. Thus, tags are complementary to this reorganization.
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.. _PEP8: http://www.python.org/dev/peps/pep-0008/
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.. _PEP8: https://www.python.org/dev/peps/pep-0008/
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.. [1] http://github.com/matplotlib/matplotlib/pull/714
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.. [2] http://github.com/matplotlib/matplotlib/issues/524
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.. [1] https://github.com/matplotlib/matplotlib/pull/714
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.. [2] https://github.com/matplotlib/matplotlib/issues/524
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.. [3] http://matplotlib.1069221.n5.nabble.com/Matplotlib-gallery-td762.html#a33379091
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.. [4] http://www.loria.fr/~rougier/teaching/matplotlib/
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.. [5] http://www.loria.fr/~rougier/coding/gallery/

‎doc/devel/contributing.rst

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.. _pep8: https://pep8.readthedocs.io/en/latest/
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.. note::
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**Additional dependencies for testing**: nose_ (version 1.0 or later), `mock
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<https://docs.python.org/dev/library/unittest.mock.html>`_ (if python < 3.3), `Ghostscript
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<http://www.ghostscript.com/>`_, `Inkscape <http://inkscape.org>`_
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<https://www.ghostscript.com/>`_, `Inkscape <https://inkscape.org>`_
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.. note:: To make sure the tests run locally:
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‎doc/devel/documenting_mpl.rst

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@@ -333,7 +333,7 @@ purposes, like hosting google docs or youtube videos. You can embed a
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matplotlib animation in the docs by first saving the animation as a
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movie using :meth:`matplotlib.animation.Animation.save`, and then
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uploading to `matplotlib's youtube
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channel <http://www.youtube.com/user/matplotlib>`_ and inserting the
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channel <https://www.youtube.com/user/matplotlib>`_ and inserting the
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embedding string youtube provides like::
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.. raw:: html

‎doc/devel/gitwash/development_workflow.rst

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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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``https://github.com/your-user-name/matplotlib``.
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#. Select your feature branch from the drop down menu:
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explanation (with pictures!) see `this nice write up
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<https://git-scm.com/book/en/Git-Branching-Rebasing>`_. The NumPy team has also
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`documented how to do this
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<http://docs.scipy.org/doc/numpy/dev/gitwash/development_workflow.html#rebasing-on-master>`_.
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<https://docs.scipy.org/doc/numpy/dev/gitwash/development_workflow.html#rebasing-on-master>`_.
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In general, re-writing history, particularly published history, is considered
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bad practice, but in this case it is very useful.
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‎doc/devel/gitwash/forking_hell.rst

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==========================================
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You need to do this only once. The instructions here are very similar
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to the instructions at http://help.github.com/forking/ |emdash| please see
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to the instructions at https://help.github.com/forking/ |emdash| please see
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that page for more detail. We're repeating some of it here just to give the
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specifics for the matplotlib_ project, and to suggest some default names.
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‎doc/devel/gitwash/git_links.inc

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nipy, NIPY, Nipy, etc...
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.. git stuff
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.. _git: http://git-scm.com/
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.. _github: http://github.com
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.. _github help: http://help.github.com
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.. _git: https://git-scm.com/
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.. _github: https://github.com
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.. _github help: https://help.github.com
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.. _msysgit: http://code.google.com/p/msysgit/downloads/list
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.. _git-osx-installer: http://code.google.com/p/git-osx-installer/downloads/list
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.. _subversion: http://subversion.tigris.org/
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.. _git cheat sheet: http://github.com/guides/git-cheat-sheet
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.. _git cheat sheet: https://github.com/guides/git-cheat-sheet
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.. _pro git book: http://progit.org/
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.. _git svn crash course: http://git-scm.com/course/svn.html
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.. _git svn crash course: https://git-scm.com/course/svn.html
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.. _learn.github: http://learn.github.com/
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.. _network graph visualizer: http://github.com/blog/39-say-hello-to-the-network-graph-visualizer
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.. _git user manual: http://schacon.github.com/git/user-manual.html
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.. _git tutorial: http://schacon.github.com/git/gittutorial.html
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.. _network graph visualizer: https://github.com/blog/39-say-hello-to-the-network-graph-visualizer
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.. _git user manual: https://schacon.github.com/git/user-manual.html
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.. _git tutorial: https://schacon.github.com/git/gittutorial.html
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.. _git community book: https://git-scm.com/book/en/v2
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.. _git ready: http://www.gitready.com/
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.. _git casts: http://www.gitcasts.com/

‎doc/devel/gitwash/known_projects.inc

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.. PROJECTNAME placeholders
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.. _PROJECTNAME: http://neuroimaging.scipy.org
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.. _`PROJECTNAME github`: http://github.com/nipy
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.. _`PROJECTNAME github`: https://github.com/nipy
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.. _`PROJECTNAME mailing list`: http://projects.scipy.org/mailman/listinfo/nipy-devel
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.. numpy
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.. _numpy: hhttp://numpy.scipy.org
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.. _`numpy github`: http://github.com/numpy/numpy
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.. _`numpy github`: https://github.com/numpy/numpy
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.. _`numpy mailing list`: http://mail.scipy.org/mailman/listinfo/numpy-discussion
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.. scipy
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.. _scipy: http://www.scipy.org
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.. _`scipy github`: http://github.com/scipy/scipy
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.. _`scipy github`: https://github.com/scipy/scipy
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.. _`scipy mailing list`: http://mail.scipy.org/mailman/listinfo/scipy-dev
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.. nipy
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.. _nipy: http://nipy.org/nipy
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.. _`nipy github`: http://github.com/nipy/nipy
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.. _`nipy github`: https://github.com/nipy/nipy
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.. _`nipy mailing list`: http://mail.scipy.org/mailman/listinfo/nipy-devel
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.. ipython
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.. _ipython: http://ipython.org
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.. _`ipython github`: http://github.com/ipython/ipython
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.. _`ipython github`: https://github.com/ipython/ipython
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.. _`ipython mailing list`: http://mail.scipy.org/mailman/listinfo/IPython-dev
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.. dipy
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.. _dipy: http://nipy.org/dipy
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.. _`dipy github`: http://github.com/Garyfallidis/dipy
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.. _`dipy github`: https://github.com/Garyfallidis/dipy
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.. _`dipy mailing list`: http://mail.scipy.org/mailman/listinfo/nipy-devel
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.. nibabel
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.. _nibabel: http://nipy.org/nibabel
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.. _`nibabel github`: http://github.com/nipy/nibabel
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.. _`nibabel github`: https://github.com/nipy/nibabel
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.. _`nibabel mailing list`: http://mail.scipy.org/mailman/listinfo/nipy-devel
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.. marsbar
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.. _marsbar: http://marsbar.sourceforge.net
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.. _`marsbar github`: http://github.com/matthew-brett/marsbar
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.. _`marsbar github`: https://github.com/matthew-brett/marsbar
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.. _`MarsBaR mailing list`: https://lists.sourceforge.net/lists/listinfo/marsbar-users

‎doc/devel/gitwash/this_project.inc

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.. matplotlib
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.. _matplotlib: http://matplotlib.org
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.. _`matplotlib github`: http://github.com/matplotlib/matplotlib
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.. _`matplotlib github`: https://github.com/matplotlib/matplotlib
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.. _`matplotlib mailing list`: https://mail.python.org/mailman/listinfo/matplotlib-devel

‎doc/devel/license.rst

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Matplotlib only uses BSD compatible code. If you bring in code from
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another project make sure it has a PSF, BSD, MIT or compatible license
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(see the Open Source Initiative `licenses page
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<http://opensource.org/licenses>`_ for details on individual
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<https://opensource.org/licenses>`_ for details on individual
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licenses). If it doesn't, you may consider contacting the author and
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asking them to relicense it. GPL and LGPL code are not acceptable in
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the main code base, though we are considering an alternative way of
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as possible, and many software companies will not use GPL code in
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software they plan to distribute, even those that are highly committed
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to open source development, such as `enthought
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<http://enthought.com>`_, out of legitimate concern that use of the
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<https://www.enthought.com>`_, out of legitimate concern that use of the
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GPL will "infect" their code base by its viral nature. In effect, they
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want to retain the right to release some proprietary code. Companies
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and institutions who use matplotlib often make significant

‎doc/devel/release_guide.rst

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You may need to set up your `.pypirc` file as described in the
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`distutils register command documentation
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<http://docs.python.org/2/distutils/packageindex.html>`_.
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<https://docs.python.org/2/distutils/packageindex.html>`_.
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‎doc/devel/testing.rst

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- `mock <https://docs.python.org/dev/library/unittest.mock.html>`_, when running python
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versions < 3.3
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- `Ghostscript <http://www.ghostscript.com/>`_ (to render PDF
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- `Ghostscript <https://www.ghostscript.com/>`_ (to render PDF
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files)
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- `Inkscape <http://inkscape.org>`_ (to render SVG files)
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- `Inkscape <https://inkscape.org>`_ (to render SVG files)
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`Travis CI <https://travis-ci.org/>`_ is a hosted CI system "in the
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Travis is configured to receive notifications of new commits to GitHub
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https://travis-ci.org/your_GitHub_user_name/matplotlib -- here's `an
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‎doc/faq/howto_faq.rst

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:func:`~matplotlib.pyplot.specgram`. Do you use matplotlib with
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`django <http://www.djangoproject.com/>`_ or other popular web
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`django <https://www.djangoproject.com/>`_ or other popular web
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application servers? Write a FAQ or tutorial and we'll find a place
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for it in the :ref:`users-guide-index`. Bundle matplotlib in a
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`py2exe <http://www.py2exe.org/>`_ app? ... I think you get the idea.

‎doc/faq/installing_faq.rst

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Other options for a fresh Python install are the standard installer from
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Python using a general OSX package management system such as `homebrew
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<http://brew.sh>`_ or `macports <http://www.macports.org>`_. Power users on
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<http://brew.sh>`_ or `macports <https://www.macports.org>`_. Power users on
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OSX will likely want one of homebrew or macports on their system to install
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open source software packages, but it is perfectly possible to use these
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Installing OSX binary wheels
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Homebrew, then you can use the standard pip installer to install matplotlib
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binaries in the form of wheels.
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‎doc/faq/osx_framework.rst

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An alternative work around borrowed from the `WX wiki
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<http://wiki.wxpython.org/wxPythonVirtualenvOnMac>`_, is to use the non
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<https://wiki.wxpython.org/wxPythonVirtualenvOnMac>`_, is to use the non
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virtualenv python along with the PYTHONHOME environment variable. This can be
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‎doc/faq/troubleshooting_faq.rst

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and post :file:`build.out` and :file:`run.out` to the
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`matplotlib-devel
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<http://mail.python.org/mailman/listinfo/matplotlib-devel>`_
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<https://mail.python.org/mailman/listinfo/matplotlib-devel>`_
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mailing list (please do not post git problems to the `users list
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<https://mail.python.org/mailman/listinfo/matplotlib-users>`_).
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‎doc/faq/usage_faq.rst

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For the rendering engines, one can also distinguish between `vector
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<http://en.wikipedia.org/wiki/Vector_graphics>`_ or `raster
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<http://en.wikipedia.org/wiki/Raster_graphics>`_ renderers. Vector
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<https://en.wikipedia.org/wiki/Vector_graphics>`_ or `raster
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<https://en.wikipedia.org/wiki/Raster_graphics>`_ renderers. Vector
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.. _`Anti-Grain Geometry`: http://antigrain.com/
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.. _`Portable Document Format`: http://en.wikipedia.org/wiki/Portable_Document_Format
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.. _`Scalable Vector Graphics`: http://en.wikipedia.org/wiki/Scalable_Vector_Graphics
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.. _`Cairo graphics`: http://en.wikipedia.org/wiki/Cairo_(graphics)
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.. _`Gimp Drawing Kit`: http://en.wikipedia.org/wiki/GDK
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.. _Postscript: https://en.wikipedia.org/wiki/PostScript
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.. _`Portable Document Format`: https://en.wikipedia.org/wiki/Portable_Document_Format
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.. _`Scalable Vector Graphics`: https://en.wikipedia.org/wiki/Scalable_Vector_Graphics
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.. _`Cairo graphics`: https://en.wikipedia.org/wiki/Cairo_(graphics)
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.. _pycairo: https://www.cairographics.org/pycairo/
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.. _wxPython: https://www.wxpython.org/
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.. _TkInter: https://wiki.python.org/moin/TkInter
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.. _PyQt4: https://riverbankcomputing.com/software/pyqt/intro
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.. _PyQt5: https://riverbankcomputing.com/software/pyqt/intro
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WX backends
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===========

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