matplotlib · anntzer · May 28, 2018 · May 17, 2018
diff --git a/examples/lines_bars_and_markers/markevery_prop_cycle.py b/examples/lines_bars_and_markers/markevery_prop_cycle.py
@@ -5,8 +5,9 @@
 
 This example demonstrates a working solution to issue #8576, providing full
 support of the markevery property for axes.prop_cycle assignments through
-rcParams. Makes use of the same list of markevery cases from
-https://matplotlib.org/examples/pylab_examples/markevery_demo.html
+rcParams. Makes use of the same list of markevery cases from the
+:doc:`markevery demo
+</gallery/lines_bars_and_markers/markevery_demo>`.
 
 Renders a plot with shifted-sine curves along each column with
 a unique markevery value for each sine curve.

diff --git a/examples/text_labels_and_annotations/annotation_demo.py b/examples/text_labels_and_annotations/annotation_demo.py
@@ -7,7 +7,7 @@
 This includes highlighting specific points of interest and using various
 visual tools to call attention to this point. For a more complete and in-depth
 description of the annotation and text tools in :mod:`matplotlib`, see the
-`tutorial on annotation <http://matplotlib.org/users/annotations.html>`_.
+:doc:`tutorial on annotation </tutorials/text/annotations>`.
 """
 
 import matplotlib.pyplot as plt

diff --git a/examples/text_labels_and_annotations/tex_demo.py b/examples/text_labels_and_annotations/tex_demo.py
@@ -4,9 +4,9 @@
 =================================
 
 You can use TeX to render all of your matplotlib text if the rc
-parameter text.usetex is set.  This works currently on the agg and ps
+parameter ``text.usetex`` is set.  This works currently on the agg and ps
 backends, and requires that you have tex and the other dependencies
-described at http://matplotlib.org/users/usetex.html
+described in the :doc:`/tutorials/text/usetex` tutorial
 properly installed on your system.  The first time you run a script
 you will see a lot of output from tex and associated tools.  The next
 time, the run may be silent, as a lot of the information is cached.

diff --git a/examples/ticks_and_spines/custom_ticker1.py b/examples/ticks_and_spines/custom_ticker1.py
@@ -4,13 +4,12 @@
 ==============
 
 The new ticker code was designed to explicitly support user customized
-ticking.  The documentation
-http://matplotlib.org/api/ticker_api.html#module-matplotlib.ticker details this
+ticking. The documentation of :mod:`matplotlib.ticker` details this
 process.  That code defines a lot of preset tickers but was primarily
 designed to be user extensible.
 
 In this example a user defined function is used to format the ticks in
-millions of dollars on the y axis
+millions of dollars on the y axis.
 """
 from matplotlib.ticker import FuncFormatter
 import matplotlib.pyplot as plt

diff --git a/tutorials/colors/colorbar_only.py b/tutorials/colors/colorbar_only.py
@@ -22,8 +22,8 @@
 will be used. Then create the colorbar by calling
 :class:`~matplotlib.colorbar.ColorbarBase` and specify axis, colormap, norm
 and orientation as parameters. Here we create a basic continuous colorbar
-with ticks and labels. More information on the colorbar API can be found
-`here <https://matplotlib.org/api/colorbar_api.html>`_.
+with ticks and labels. For more information see the
+:mod:`~matplotlib.colorbar` API.
 """
 
 import matplotlib.pyplot as plt

diff --git a/tutorials/colors/colors.py b/tutorials/colors/colors.py
@@ -38,6 +38,12 @@
 
 All string specifications of color, other than "CN", are case-insensitive.
 
+For more information on colors in matplotlib see
+
+* the :doc:`/gallery/color/color_demo` example;
+* the `matplotlib.colors` API;
+* the :doc:`/gallery/color/named_colors` example.
+
 "CN" color selection
 --------------------
 

diff --git a/tutorials/introductory/customizing.py b/tutorials/introductory/customizing.py
@@ -8,8 +8,9 @@
 ------------------
 
 The ``style`` package adds support for easy-to-switch plotting "styles" with
-the same parameters as a matplotlibrc_ file (which is read at startup to
-configure matplotlib).
+the same parameters as a
+:ref:`matplotlib rc <customizing-with-matplotlibrc-files>` file (which is read
+at startup to configure matplotlib).
 
 There are a number of pre-defined styles provided by matplotlib. For
 example, there's a pre-defined style called "ggplot", which emulates the
@@ -183,6 +184,5 @@
 # .. literalinclude:: ../../../matplotlibrc.template
 #
 #
-# .. _matplotlibrc: http://matplotlib.org/users/customizing.html
 # .. _ggplot: http://ggplot2.org/
 # .. _R: https://www.r-project.org/
diff --git a/tutorials/introductory/images.py b/tutorials/introductory/images.py
@@ -42,8 +42,8 @@
 settings.  The alternative is the object-oriented interface, which is also
 very powerful, and generally more suitable for large application
 development.  If you'd like to learn about the object-oriented
-interface, a great place to start is our `FAQ on usage
-<http://matplotlib.org/faq/usage_faq.html>`_.  For now, let's get on
+interface, a great place to start is our :doc:`Usage guide
+</tutorials/introductory/usage>`.  For now, let's get on
 with the imperative-style approach:
 """
 

diff --git a/tutorials/introductory/pyplot.py b/tutorials/introductory/pyplot.py
@@ -23,7 +23,7 @@
 # the current figure and plotting area, and the plotting
 # functions are directed to the current axes (please note that "axes" here
 # and in most places in the documentation refers to the *axes*
-# `part of a figure <http://matplotlib.org/faq/usage_faq.html#parts-of-a-figure>`__
+# :ref:`part of a figure <figure_parts>`
 # and not the strict mathematical term for more than one axis).
 #
 # .. note::

diff --git a/tutorials/text/pgf.py b/tutorials/text/pgf.py
@@ -188,7 +188,7 @@
   `tex.stackexchange.com <http://tex.stackexchange.com/questions/7953>`_.
   Another way would be to "rasterize" parts of the graph causing problems
   using either the ``rasterized=True`` keyword, or ``.set_rasterized(True)`` as per
-  `this example <http://matplotlib.org/examples/misc/rasterization_demo.html>`_.
+  :doc:`this example </gallery/misc/rasterization_demo>`.
 
 * If you still need help, please see :ref:`reporting-problems`
 

diff --git a/tutorials/text/text_intro.py b/tutorials/text/text_intro.py
@@ -21,11 +21,11 @@
 
 The user has a great deal of control over text properties (font size, font
 weight, text location and color, etc.) with sensible defaults set in
-the `rc file <http://matplotlib.org/users/customizing.html>`.
+the :doc:`rc file </tutorials/introductory/customizing>`.
 And significantly, for those interested in mathematical
 or scientific figures, matplotlib implements a large number of TeX
-math symbols and commands, supporting :ref:`mathematical expressions
-<sphx_glr_tutorials_text_mathtext.py>` anywhere in your figure.
+math symbols and commands, supporting :doc:`mathematical expressions
+</tutorials/text/mathtext>` anywhere in your figure.
 
 
 Basic text commands