matplotlib
diff --git a/‎tutorials/introductory/usage.py
Lines changed: 61 additions & 26 deletions b/‎tutorials/introductory/usage.py
Lines changed: 61 additions & 26 deletions
@@ -290,44 +290,60 @@ def my_plotter(ax, data1, data2, param_dict):
 # "interactive backends") and hardcopy backends to make image files
 # (PNG, SVG, PDF, PS; also referred to as "non-interactive backends").
 #
-# There are three ways to configure your backend. If they conflict each other,
-# the method mentioned last in the following list will be used, e.g. calling
-# :func:`~matplotlib.use()` will override the setting in your ``matplotlibrc``.
+# Selecting a backend
+# -------------------
 #
-# #. The :rc:`backend` parameter in your ``matplotlibrc`` file (see
-#    :doc:`/tutorials/introductory/customizing`)::
+# There are three ways to configure your backend:
+#
+# 1. The :rc:`backend` parameter in your ``matplotlibrc`` file
+# 2. The :envvar:`MPLBACKEND` environment variable
+# 3. The function :func:`matplotlib.use`
+#
+# A more detailed description is given below.
+#
+# If multiple of these are configurations are present, the last one from the
+# list takes precedence; e.g. calling :func:`matplotlib.use()` will override
+# the setting in your ``matplotlibrc``.
+#
+# If no backend is explicitly set, Matplotlib automatically detects a usable
+# backend based on what is available on your system and on whether a GUI event
+# loop is already running. On Linux, if the environment variable
+# :envvar:`DISPLAY` is unset, the "event loop" is identified as "headless",
+# which causes a fallback to a noninteractive backend (agg).
+#
+# Here is a detailed description of the configuration methods:
+#
+# #. Setting :rc:`backend` in your ``matplotlibrc`` file::
 #
 #        backend : qt5agg   # use pyqt5 with antigrain (agg) rendering
 #
-#    If no backend is explicitly set in the ``matplotlibrc`` file, Matplotlib
-#    automatically detects a usable backend based on what is available on your
-#    system and on whether a GUI event loop is already running.
+#    See also :doc:`/tutorials/introductory/customizing`.
 #
-#    On Linux, if the environment variable :envvar:`DISPLAY` is unset, the
-#    "event loop" is identified as "headless", which causes a fallback to a
-#    noninteractive backend (agg).
 # #. Setting the :envvar:`MPLBACKEND` environment variable:
 #
-# #. Setting the :envvar:`MPLBACKEND` environment variable, either for your
-#    current shell or for a single script.  On Unix::
+#    You can set the environment variable either for your current shell or for
+#    a single script.
 #
-#         > export MPLBACKEND=module://my_backend
+#    On Unix::
+#
+#         > export MPLBACKEND=qt5agg
 #         > python simple_plot.py
 #
-#         > MPLBACKEND="module://my_backend" python simple_plot.py
+#         > MPLBACKEND="qt5agg" python simple_plot.py
 #
 #    On Windows, only the former is possible::
 #
-#         > set MPLBACKEND=module://my_backend
+#         > set MPLBACKEND=qt5agg
 #         > python simple_plot.py
 #
 #    Setting this environment variable will override the ``backend`` parameter
 #    in *any* ``matplotlibrc``, even if there is a ``matplotlibrc`` in your
-#    current working directory. Therefore setting :envvar:`MPLBACKEND`
+#    current working directory. Therefore, setting :envvar:`MPLBACKEND`
 #    globally, e.g. in your ``.bashrc`` or ``.profile``, is discouraged as it
 #    might lead to counter-intuitive behavior.
 #
-# #. If your script depends on a specific backend you can use the
-#    :func:`~matplotlib.use` function::
+# #. If your script depends on a specific backend you can use the function
+#    :func:`matplotlib.use`::
 #
 #       import matplotlib
 #       matplotlib.use('PS')   # generate postscript output by default
@@ -340,9 +356,9 @@ def my_plotter(ax, data1, data2, param_dict):
 #    use a different backend.  Therefore, you should avoid explicitly calling
 #    `~matplotlib.use` unless absolutely necessary.
 #
-# .. note::
-#    Backend name specifications are not case-sensitive; e.g., 'GTK3Agg'
-#    and 'gtk3agg' are equivalent.
+#
+# The builtlin backends
+# ---------------------
 #
 # With a typical installation of matplotlib, such as from a
 # binary installer or a linux distribution package, a good default
@@ -424,6 +440,10 @@ def my_plotter(ax, data1, data2, param_dict):
 #           This backend can be activated in IPython with ``%matplotlib wx``.
 # ========= ================================================================
 #
+# .. note::
+#    Backend name specifications are case-insensitive; e.g., 'Qt5Agg'
+#    and 'qt5agg' are equivalent.
+#
 # .. _`Anti-Grain Geometry`: http://antigrain.com/
 # .. _Postscript: https://en.wikipedia.org/wiki/PostScript
 # .. _`Portable Document Format`: https://en.wikipedia.org/wiki/Portable_Document_Format
@@ -438,7 +458,7 @@ def my_plotter(ax, data1, data2, param_dict):
 # .. _PyQt5: https://riverbankcomputing.com/software/pyqt/intro
 #
 # ipympl
-# ------
+# ^^^^^^
 #
 # The Jupyter widget ecosystem is moving too fast to support directly in
 # Matplotlib.  To install ipympl
@@ -458,13 +478,13 @@ def my_plotter(ax, data1, data2, param_dict):
 # for more details.
 #
 # GTK and Cairo
-# -------------
+# ^^^^^^^^^^^^^
 #
 # `GTK3` backends (*both* `GTK3Agg` and `GTK3Cairo`) depend on Cairo
 # (pycairo>=1.11.0 or cairocffi).
 #
 # How do I select PyQt4 or PySide?
-# --------------------------------
+# ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
 #
 # The `QT_API` environment variable can be set to either `pyqt` or `pyside`
 # to use `PyQt4` or `PySide`, respectively.
@@ -473,10 +493,25 @@ def my_plotter(ax, data1, data2, param_dict):
 # :mod:`matplotlib` first tries to import it, if the import fails, it tries to
 # import `PySide`.
 #
+# Using non-builtin backends
+
# --------------------------# --------------------------
+# 3rd parties can provide additional backends. Some of them (e.g. jupyter and
+# pycharm have their own way of activation). However, there is also a generic
+# way to activate non-builtin backends. If you have a module ``my_backend``
+# that implements a backend:
+#
+# a) Make sure, it can be imported (e.g. by regular installation or by putting
+#    it on the PYTHONPATH).
+# b) Select the backend via one of the methods above by using
+#    ``module://my_backend`` as the backend name, e.g. ::
+#
+#        matplotlib.use('module://my_backend')
+#
+#
 # .. _interactive-mode:
 #
 # What is interactive mode?
-# ===================================
+# =========================
 #
 # Use of an interactive backend (see :ref:`what-is-a-backend`)
 # permits--but does not by itself require or ensure--plotting