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Merge pull request #8961 from tacaswell/doc_install_docs
Doc install docs
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‎INSTALL.rst‎

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Installing an official release
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==============================
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Matplotlib and most of its dependencies are all available as wheel packages for
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macOS, Windows and Linux distributions::
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Matplotlib and most of its dependencies are all available as wheel
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packages for macOS, Windows and Linux distributions::
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pip install -U matplotlib
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python -m pip install -U pip
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python -m pip install -U matplotlib
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.. note::
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Third-party distributions of Matplotlib
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=======================================
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Scientific Python distributions: Conda, Canopy...
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-------------------------------------------------
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The first option is to use one of the pre-packaged Python distributions that
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already provide Matplotlib built-in. Both `Anaconda
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<https://www.continuum.io/downloads/>`_ and `Canopy
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<https://www.enthought.com/products/canopy/>`_ are both excellent choices that
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"just work" out of the box for Windows, macOS and common Linux platforms. Both
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of these distributions include Matplotlib and *lots* of other useful tools.
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The following backends work out of the box: Agg, ps, pdf, svg and TkAgg.
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Linux : using your package manager
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----------------------------------
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For support of other GUI frameworks, LaTeX rendering, saving
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animations and a larger selection of file formats, you may need to
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install :ref:`additional dependencies <install_requirements>`.
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If you are on Linux, you might prefer to use your package manager. Matplotlib
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is packaged for almost every major Linux distribution.
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* Debian / Ubuntu: ``sudo apt-get install python-matplotlib``
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* Fedora: ``sudo dnf install python-matplotlib``
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* Red Hat: ``sudo yum install python-matplotlib``
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* Arch: ``sudo pacman -S python-matplotlib``
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Although not required, we suggest also installing ``IPython`` for
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interactive use. To easily install a complete Scientific Python
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stack, see :ref:`install_scipy_dists` below.
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.. _installing_windows:
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Windows
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-------
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We strongly recommend using `SciPy-stack compatible Python distributions
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<https://www.scipy.org/install.html>`_ such as WinPython, Python(x,y),
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Enthought Canopy, or Continuum Anaconda, which have Matplotlib and its
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dependencies, plus other useful packages, preinstalled.
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For `standard Python <https://www.python.org/downloads/>`_ installations,
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install Matplotlib using pip_::
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python -m pip install -U pip setuptools
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python -m pip install matplotlib
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In case Python 2.7 or 3.4 are not installed for all users,
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the Microsoft Visual C++ 2008
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(`64 bit <https://www.microsoft.com/en-us/download/details.aspx?id=15336>`__
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`32 bit <https://www.microsoft.com/en-us/download/details.aspx?id=5555>`__
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for Python 3.4) redistributable packages need to be installed.
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macOS
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-----
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If you are using Python 2.7 on a Mac you may need to do::
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xcode-select --install
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so that *subprocess32*, a dependency, may be compiled.
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To use the native OSX backend you will need :ref:`a framework build
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<osxframework-faq>` build of Python.
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The Windows wheels (:file:`*.whl`) on the `PyPI download page
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Linux
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-----
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On extremely old versions of Linux and Python 2.7 you may need to
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install the master version of *subprocess32* (`see comments
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<https://github.com/google/python-subprocess32/issues/12#issuecomment-304724113>`__).
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Test Data
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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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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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<https://inkscape.org/>`_;
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* run ``py.test path\to\tests\directory``.
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.. note::
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The following backends work out of the box: Agg, TkAgg, ps, pdf and svg.
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TkAgg is probably the best backend for interactive use from the standard
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Python shell or from IPython and is enabled as default.
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Third-party distributions of Matplotlib
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=======================================
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.. _install_scipy_dists:
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Scientific Python Distributions
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-------------------------------
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GTK3 is not supported on Windows.
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Both `Anaconda <https://www.continuum.io/downloads/>`_ and `Canopy
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<https://www.enthought.com/products/canopy/>`_ are both excellent
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choices that "just work" out of the box for Windows, macOS and common
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Linux platforms. `WinPython <https://winpython.github.io/>`__ is an
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option for windows users. All of these distributions include
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Matplotlib and *lots* of other useful tools.
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Linux : using your package manager
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----------------------------------
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If you are on Linux, you might prefer to use your package manager. Matplotlib
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is packaged for almost every major Linux distribution.
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* Debian / Ubuntu: ``sudo apt-get install python3-matplotlib``
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* Fedora: ``sudo dnf install python3-matplotlib``
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* Red Hat: ``sudo yum install python3-matplotlib``
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* Arch: ``sudo pacman -S python-matplotlib``
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For support for other backends, LaTeX rendering, animation input/output and
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a larger selection of file formats, you may need to install :ref:`additional
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dependencies <install_requirements>`.
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.. _install_from_source:

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