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Clarify tutorial about style sheets and rcParams
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tutorials/introductory/customizing.py

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"""
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.. redirect-from:: /users/customizing
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=====================================================
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Customizing Matplotlib with style sheets and rcParams
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=====================================================
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Tips for customizing the properties and default styles of Matplotlib.
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There are basically three ways to customize Matplotlib:
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1. :ref:`Using style sheets<customizing-with-style-sheets>`.
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2. :ref:`Setting rcParams at runtime<customizing-with-dynamic-rc-settings>`.
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3. :ref:`Changing your matplotlibrc file<customizing-with-matplotlibrc-files>`.
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.. _customizing-with-style-sheets:
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Using style sheets
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------------------
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==================
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The :mod:`.style` package adds support for easy-to-switch plotting
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"styles" with the same parameters as a :ref:`matplotlib rc
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"styles" with the same parameters (rcParams) as a :ref:`matplotlibrc
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<customizing-with-matplotlibrc-files>` file (which is read at startup to
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configure Matplotlib).
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configure Matplotlib). However, in a style sheet you can only set
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rcParams that are related to the actual style of a plot. Other rcParams,
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like *backend*, will be ignored. This behavior is different fom the
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:file:`matplotlibrc` file, which supports all rcParams. In this way,
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style sheets are portable between different machines without having to
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worry about dependencies which might or might not be installed on
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another machine. For a full list of rcParams see `matplotlib.rcParams`.
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For a list of rcParams that are ignored in style sheets see
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`matplotlib.style.use`.
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There are a number of pre-defined styles :doc:`provided by Matplotlib
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</gallery/style_sheets/style_sheets_reference>`. For
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example, there's a pre-defined style called "ggplot", which emulates the
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aesthetics of ggplot_ (a popular plotting package for R_). To use this style,
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just add:
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aesthetics of ggplot_ (a popular plotting package for R_). To use this
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style, just add:
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"""
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import numpy as np
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plt.show()
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###############################################################################
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# .. _matplotlib-rcparams:
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#
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# Matplotlib rcParams
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# ===================
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#
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# .. _customizing-with-dynamic-rc-settings:
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#
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# Dynamic rc settings
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# -------------------
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# ===================
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#
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# You can also dynamically change the default rc settings in a python script or
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# interactively from the python shell. All of the rc settings are stored in a
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# .. _customizing-with-matplotlibrc-files:
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#
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# The :file:`matplotlibrc` file
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# -----------------------------
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# =============================
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#
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# Matplotlib uses :file:`matplotlibrc` configuration files to customize all
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# kinds of properties, which we call 'rc settings' or 'rc parameters'. You can
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# control the defaults of almost every property in Matplotlib: figure size and
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# DPI, line width, color and style, axes, axis and grid properties, text and
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# font properties and so on. When a URL or path is not specified with a call to
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# ``style.use('<path>/<style-name>.mplstyle')``, Matplotlib looks for
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# font properties and so on. Matplotlib looks for
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# :file:`matplotlibrc` in four locations, in the following order:
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#
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# 1. :file:`matplotlibrc` in the current working directory, usually used for
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# your customizations to be saved, please move this file to your
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# user-specific matplotlib directory.
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#
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# Once a :file:`matplotlibrc` file has been found, it will *not* search any of
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# the other paths.
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# Once a :file:`matplotlibrc` file has been found, it will *not* search
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# any of the other paths. When a
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# :ref:`style sheet<customizing-with-style-sheets>` is given with
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# ``style.use('<path>/<style-name>.mplstyle')``, settings specified in
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# the style sheet take precedence over the :file:`matplotlibrc` file.
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#
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# To display where the currently active :file:`matplotlibrc` file was
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# loaded from, one can do the following::
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# >>> matplotlib.matplotlib_fname()
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# '/home/foo/.config/matplotlib/matplotlibrc'
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#
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# See below for a sample :ref:`matplotlibrc file<matplotlibrc-sample>`.
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# See below for a sample :ref:`matplotlibrc file<matplotlibrc-sample>`
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# and see `matplotlib.rcParams` for a full list of configurable rcParams.
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#
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# .. _matplotlibrc-sample:
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#
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# A sample matplotlibrc file
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# ~~~~~~~~~~~~~~~~~~~~~~~~~~
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# --------------------------
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#
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# .. literalinclude:: ../../../lib/matplotlib/mpl-data/matplotlibrc
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#

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