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DOC: fix a bunch of bit-rotted links
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INSTALL.rst

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@@ -96,7 +96,7 @@ Third-party distributions of Matplotlib
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Scientific Python Distributions
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-------------------------------
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`Anaconda <https://www.continuum.io/downloads/>`_ and `Canopy
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`Anaconda <https://www.anaconda.com/distribution//>`_ and `Canopy
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<https://www.enthought.com/products/canopy/>`_ and `ActiveState
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<https://www.activestate.com/activepython/downloads>`_ are excellent
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choices that "just work" out of the box for Windows, macOS and common

doc/devel/contributing.rst

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To work on Matplotlib sources, it is strongly recommended to set up an alternative
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development environment, using the something like `virtual environments in python
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<http://docs.python-guide.org/en/latest/dev/virtualenvs/>`_, or a
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`conda environment <http://conda.pydata.org/docs/using/envs.html>`_.
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`conda environment <https://docs.conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html>`_.
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If you choose to use an already existing environment, and not a clean virtual or
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conda environment, uninstall the current version of Matplotlib in that environment

doc/faq/howto_faq.rst

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@@ -605,7 +605,7 @@ 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.
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Matplotlib is documented using the `sphinx
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<http://www.sphinx-doc.org/index.html>`_ extensions to restructured text
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<http://www.sphinx-doc.org/>`_ extensions to restructured text
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`(ReST) <http://docutils.sourceforge.net/rst.html>`_. sphinx is an
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extensible python framework for documentation projects which generates
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HTML and PDF, and is pretty easy to write; you can see the source for this

doc/faq/installing_faq.rst

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- Canopy_ from Enthought_
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.. _Canopy: https://www.enthought.com/products/canopy/
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.. _Anaconda: https://www.continuum.io/downloads
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.. _Anaconda: https://www.anaconda.com/distribution/
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.. _Enthought: https://www.enthought.com
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.. _Continuum Analytics: https://www.continuum.io
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doc/faq/troubleshooting_faq.rst

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python -c "import matplotlib; print matplotlib.__version__"
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* Where you obtained Matplotlib (e.g., your Linux distribution's packages,
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Github, PyPi, or `Anaconda <https://www.continuum.io/downloads>`_ or
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Github, PyPi, or `Anaconda <https://www.anaconda.com/distribution/>`_ or
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`Enthought Canopy <https://www.enthought.com/products/canopy/>`_).
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* Any customizations to your ``matplotlibrc`` file (see

doc/thirdpartypackages/index.rst

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========
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`plotnine <https://plotnine.readthedocs.io/en/stable/>`_ implements a grammar
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of graphics, similar to R's `ggplot2 <http://ggplot2.org/>`_. The grammar allows
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of graphics, similar to R's `ggplot2 <https://ggplot2.tidyverse.org/>`_. The grammar allows
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users to compose plots by explicitly mapping data to the visual objects that
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make up the plot.
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examples/style_sheets/ggplot.py

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.. [1] https://web.archive.org/web/20111215111010/http://www.huyng.com/archives/sane-color-scheme-for-matplotlib/691/
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.. _ggplot: http://ggplot2.org/
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.. _ggplot: https://ggplot2.tidyverse.org/
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.. _R: https://www.r-project.org/
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"""

tutorials/introductory/customizing.py

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#
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#
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# .. _matplotlibrc: http://matplotlib.org/users/customizing.html
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# .. _ggplot: http://ggplot2.org/
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# .. _ggplot: https://www.anaconda.com/distribution/
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# .. _R: https://www.r-project.org/
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# .. _provided by Matplotlib: https://github.com/matplotlib/matplotlib/tree/master/lib/matplotlib/mpl-data/stylelib

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