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Merge pull request #12060 from anntzer/url
INSTALL.rst fixes
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INSTALL.rst

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.. _pip: https://pypi.python.org/pypi/pip/
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==========
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Installing
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==========
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---------
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The wheels (:file:`*.whl`) on the `PyPI download page
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<https://pypi.python.org/pypi/matplotlib/>`_ do not contain test data
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<https://pypi.org/project/matplotlib/>`_ do not contain test data
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or example code.
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If you want to try the many demos that come in the Matplotlib source
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* extract the :file:`lib/matplotlib/tests` or :file:`lib/mpl_toolkits/tests`
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directories from the source distribution;
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* install test dependencies: `pytest <https://pypi.python.org/pypi/pytest>`_,
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* install test dependencies: `pytest <https://pypi.org/project/pytest>`_,
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Pillow, MiKTeX, GhostScript, ffmpeg, avconv, ImageMagick, and `Inkscape
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<https://inkscape.org/>`_;
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* run ``python -mpytest``.
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running the latest source code, or just like to build everything
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yourself, it is not difficult to build Matplotlib from source. Grab
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the latest *tar.gz* release file from `the PyPI files page
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<https://pypi.python.org/pypi/matplotlib/>`_, or if you want to
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<https://pypi.org/project/matplotlib/>`_, or if you want to
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develop Matplotlib or just need the latest bugfixed version, grab the
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latest git version :ref:`install-from-git`.
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latest git version, and see :ref:`install-from-git`.
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The standard environment variables `CC`, `CXX`, `PKG_CONFIG` are respected.
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This means you can set them if your toolchain is prefixed. This may be used for
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* `NumPy <http://www.numpy.org>`_ (>= 1.10.0)
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* `setuptools <https://setuptools.readthedocs.io/en/latest/>`_
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* `cycler <http://matplotlib.org/cycler/>`_ (>= 0.10.0)
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* `dateutil <https://pypi.python.org/pypi/python-dateutil>`_ (>= 2.1)
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* `dateutil <https://pypi.org/project/python-dateutil>`_ (>= 2.1)
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* `kiwisolver <https://github.com/nucleic/kiwi>`_ (>= 1.0.0)
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* `pyparsing <https://pyparsing.wikispaces.com/>`_
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optional Matplotlib backends and the capabilities they provide.
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* :term:`tk` (>= 8.3, != 8.6.0 or 8.6.1): for the Tk-based backends;
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* `PyQt4 <https://pypi.python.org/pypi/PyQt4>`_ (>= 4.6) or
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`PySide <https://pypi.python.org/pypi/PySide>`_ (>= 1.0.3): for the Qt4-based
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* `PyQt4 <https://pypi.org/project/PyQt4>`_ (>= 4.6) or
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`PySide <https://pypi.org/project/PySide>`_ (>= 1.0.3): for the Qt4-based
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backends;
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* `PyQt5 <https://pypi.python.org/pypi/PyQt5>`_: for the Qt5-based backends;
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* `PyQt5 <https://pypi.org/project/PyQt5>`_: for the Qt5-based backends;
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* `PyGObject <https://pypi.org/project/PyGObject/>`_ or
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`pgi <https://pypi.org/project/pgi/>`_ (>= 0.0.11.2): for the GTK3-based
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backends;
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* :term:`wxpython` (>= 4): for the WX-based backends;
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* `cairocffi <https://cairocffi.readthedocs.io/en/latest/>`_ (>= 0.8) or
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`pycairo <https://pypi.python.org/pypi/pycairo>`_: for the cairo-based
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`pycairo <https://pypi.org/project/pycairo>`_: for the cairo-based
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backends;
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* `Tornado <https://pypi.python.org/pypi/tornado>`_: for the WebAgg backend;
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* `Tornado <https://pypi.org/project/tornado>`_: for the WebAgg backend;
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For better support of animation output format and image file formats, LaTeX,
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etc., you can install the following:
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^^^^^^^^^^^^^^
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The conda packaging scripts for Matplotlib are available at
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https://github.com/conda-forge/python-feedstock.
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https://github.com/conda-forge/matplotlib-feedstock.

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