matplotlib · timhoffm · Aug 14, 2022 · Aug 11, 2022 · Aug 11, 2022 · Aug 11, 2022
diff --git a/doc/api/artist_api.rst b/doc/api/artist_api.rst
@@ -27,6 +27,7 @@ Interactive
 -----------
 
 .. autosummary::
+   :template: autosummary.rst
    :toctree: _as_gen
    :nosignatures:
 
@@ -48,6 +49,7 @@ Clipping
 --------
 
 .. autosummary::
+   :template: autosummary.rst
    :toctree: _as_gen
    :nosignatures:
 
@@ -62,6 +64,7 @@ Bulk Properties
 ---------------
 
 .. autosummary::
+   :template: autosummary.rst
    :toctree: _as_gen
    :nosignatures:
 
@@ -74,6 +77,7 @@ Drawing
 -------
 
 .. autosummary::
+   :template: autosummary.rst
    :toctree: _as_gen
    :nosignatures:
 
@@ -107,6 +111,7 @@ Figure and Axes
 ---------------
 
 .. autosummary::
+   :template: autosummary.rst
    :toctree: _as_gen
    :nosignatures:
 
@@ -121,6 +126,7 @@ Children
 --------
 
 .. autosummary::
+   :template: autosummary.rst
    :toctree: _as_gen
    :nosignatures:
 
@@ -131,6 +137,7 @@ Transform
 ---------
 
 .. autosummary::
+   :template: autosummary.rst
    :toctree: _as_gen
    :nosignatures:
 
@@ -142,6 +149,7 @@ Units
 -----
 
 .. autosummary::
+   :template: autosummary.rst
    :toctree: _as_gen
    :nosignatures:
 
@@ -153,6 +161,7 @@ Metadata
 --------
 
 .. autosummary::
+   :template: autosummary.rst
    :toctree: _as_gen
    :nosignatures:
 
@@ -167,6 +176,7 @@ Miscellaneous
 -------------
 
 .. autosummary::
+   :template: autosummary.rst
    :toctree: _as_gen
    :nosignatures:
 
@@ -179,6 +189,7 @@ Functions
 =========
 
 .. autosummary::
+   :template: autosummary.rst
    :toctree: _as_gen
    :nosignatures:
 

diff --git a/doc/users/installing/index.rst b/doc/users/installing/index.rst
@@ -304,9 +304,9 @@ at the Terminal.app command line::
 
 You should see something like ::
 
-  3.0.0 /Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/matplotlib/__init__.py
+  3.6.0 /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/matplotlib/__init__.py
 
-where ``3.0.0`` is the Matplotlib version you just installed, and the path
+where ``3.6.0`` is the Matplotlib version you just installed, and the path
 following depends on whether you are using Python.org Python, Homebrew or
 Macports.  If you see another version, or you get an error like ::
 

diff --git a/examples/lines_bars_and_markers/linestyles.py b/examples/lines_bars_and_markers/linestyles.py
@@ -6,8 +6,9 @@
 Simple linestyles can be defined using the strings "solid", "dotted", "dashed"
 or "dashdot". More refined control can be achieved by providing a dash tuple
 ``(offset, (on_off_seq))``. For example, ``(0, (3, 10, 1, 15))`` means
-(3pt line, 10pt space, 1pt line, 15pt space) with no offset. See also
-`.Line2D.set_linestyle`.
+(3pt line, 10pt space, 1pt line, 15pt space) with no offset, while
+``(5, (10, 3))``, means (10pt line, 3pt space), but skip the first 5pt line.
+See also `.Line2D.set_linestyle`.
 
 *Note*: The dash style can also be configured via `.Line2D.set_dashes`
 as shown in :doc:`/gallery/lines_bars_and_markers/line_demo_dash_control`
@@ -27,7 +28,7 @@
      ('loosely dotted',        (0, (1, 10))),
      ('dotted',                (0, (1, 1))),
      ('densely dotted',        (0, (1, 1))),
-
+     ('long dash with offset', (5, (10, 3))),
      ('loosely dashed',        (0, (5, 10))),
      ('dashed',                (0, (5, 5))),
      ('densely dashed',        (0, (5, 1))),

diff --git a/examples/ticks/centered_ticklabels.py b/examples/ticks/centered_ticklabels.py
@@ -7,7 +7,7 @@
 'center', 'left', or 'right' can be controlled using the horizontal alignment
 property::
 
-    for label in ax.xaxis.get_xticklabels():
+    for label in ax.get_xticklabels():
         label.set_horizontalalignment('right')
 
 However there is no direct way to center the labels between ticks. To fake
@@ -23,7 +23,7 @@
 import matplotlib.ticker as ticker
 import matplotlib.pyplot as plt
 
-# load some financial data; Google's stock price
+# Load some financial data; Google's stock price
 r = (cbook.get_sample_data('goog.npz', np_load=True)['price_data']
      .view(np.recarray))
 r = r[-250:]  # get the last 250 days
@@ -38,11 +38,12 @@
 ax.xaxis.set_major_formatter(ticker.NullFormatter())
 ax.xaxis.set_minor_formatter(dates.DateFormatter('%b'))
 
-for tick in ax.xaxis.get_minor_ticks():
-    tick.tick1line.set_markersize(0)
-    tick.tick2line.set_markersize(0)
-    tick.label1.set_horizontalalignment('center')
+# Remove the tick lines
+ax.tick_params(axis='x', which='minor', tick1On=False, tick2On=False)
 
+# Align the minor tick label
+for label in ax.get_xticklabels(minor=True):
+    label.set_horizontalalignment('center')
 imid = len(r) // 2
 ax.set_xlabel(str(r.date[imid].item().year))
 plt.show()
diff --git a/lib/matplotlib/mpl-data/matplotlibrc b/lib/matplotlib/mpl-data/matplotlibrc
@@ -19,7 +19,7 @@
 ##         $HOME/.matplotlib/matplotlibrc
 ## and edit that copy.
 ##
-## See https://matplotlib.org/users/customizing.html#the-matplotlibrc-file
+## See https://matplotlib.org/stable/tutorials/introductory/customizing.html#customizing-with-matplotlibrc-files
 ## for more details on the paths which are checked for the configuration file.
 ##
 ## Blank lines, or lines starting with a comment symbol, are ignored, as are
@@ -218,9 +218,9 @@
 ## on font properties.  The 6 font properties used for font matching are
 ## given below with their default values.
 ##
-## The font.family property can take either a concrete font name (not supported
-## when rendering text with usetex), or one of the following five generic
-## values:
+## The font.family property can take either a single or multiple entries of any
+## combination of concrete font names (not supported when rendering text with
+## usetex) or the following five generic values:
 ##     - 'serif' (e.g., Times),
 ##     - 'sans-serif' (e.g., Helvetica),
 ##     - 'cursive' (e.g., Zapf-Chancery),
@@ -738,9 +738,10 @@
 ## * INTERACTIVE KEYMAPS                                                     *
 ## ***************************************************************************
 ## Event keys to interact with figures/plots via keyboard.
-## See https://matplotlib.org/users/navigation_toolbar.html for more details on
-## interactive navigation.  Customize these settings according to your needs.
-## Leave the field(s) empty if you don't need a key-map. (i.e., fullscreen : '')
+## See https://matplotlib.org/stable/users/explain/interactive.html for more
+## details on interactive navigation.  Customize these settings according to
+## your needs. Leave the field(s) empty if you don't need a key-map. (i.e.,
+## fullscreen : '')
 #keymap.fullscreen: f, ctrl+f   # toggling
 #keymap.home: h, r, home        # home or reset mnemonic
 #keymap.back: left, c, backspace, MouseButton.BACK  # forward / backward keys

diff --git a/lib/matplotlib/tri/triangulation.py b/lib/matplotlib/tri/triangulation.py
@@ -104,7 +104,7 @@ def edges(self):
         Return integer array of shape (nedges, 2) containing all edges of
         non-masked triangles.
 
-        Each row defines an edge by it's start point index and end point
+        Each row defines an edge by its start point index and end point
         index.  Each edge appears only once, i.e. for an edge between points
         *i*  and *j*, there will only be either *(i, j)* or *(j, i)*.
         """
@@ -126,7 +126,7 @@ def get_cpp_triangulation(self):
 
     def get_masked_triangles(self):
         """
-        Return an array of triangles that are not masked.
+        Return an array of triangles taking the mask into account.
         """
         if self.mask is not None:
             return self.triangles[~self.mask]

diff --git a/lib/matplotlib/tri/tricontour.py b/lib/matplotlib/tri/tricontour.py
@@ -129,7 +129,7 @@ def _contour_args(self, args, kwargs):
     The colors of the levels, i.e., the contour %%(type)s.
 
     The sequence is cycled for the levels in ascending order. If the sequence
-    is shorter than the number of levels, it's repeated.
+    is shorter than the number of levels, it is repeated.
 
     As a shortcut, single color strings may be used in place of one-element
     lists, i.e. ``'red'`` instead of ``['red']`` to color all levels with the

diff --git a/setup.py b/setup.py
@@ -263,7 +263,7 @@ def make_release_tree(self, base_dir, files):
     author="John D. Hunter, Michael Droettboom",
     author_email="matplotlib-users@python.org",
     url="https://matplotlib.org",
-    download_url="https://matplotlib.org/users/installing.html",
+    download_url="https://matplotlib.org/stable/users/installing/index.html",
     project_urls={
         'Documentation': 'https://matplotlib.org',
         'Source Code': 'https://github.com/matplotlib/matplotlib',

diff --git a/tutorials/intermediate/artists.py b/tutorials/intermediate/artists.py
@@ -353,7 +353,7 @@ class in the Matplotlib API, and the one you will be working with most
 # images           A list of `.FigureImage` patches -
 #                  useful for raw pixel display
 # legends          A list of Figure `.Legend` instances
-#                  (different from ``Axes.legends``)
+#                  (different from ``Axes.get_legend()``)
 # lines            A list of Figure `.Line2D` instances
 #                  (rarely used, see ``Axes.lines``)
 # patches          A list of Figure `.Patch`\s
@@ -543,7 +543,7 @@ class in the Matplotlib API, and the one you will be working with most
 # `~.axes.Axes.fill` - shared area           `.Polygon`         ax.patches
 # `~.axes.Axes.hist` - histograms            `.Rectangle`       ax.patches
 # `~.axes.Axes.imshow` - image data          `.AxesImage`       ax.images
-# `~.axes.Axes.legend` - Axes legends        `.Legend`          ax.legends
+# `~.axes.Axes.legend` - Axes legend         `.Legend`          ax.get_legend()
 # `~.axes.Axes.plot` - xy plots              `.Line2D`          ax.lines
 # `~.axes.Axes.scatter` - scatter charts     `.PolyCollection`  ax.collections
 # `~.axes.Axes.text` - text                  `.Text`            ax.texts
@@ -563,26 +563,26 @@ class in the Matplotlib API, and the one you will be working with most
 # the font color of the ``XAxis`` ticklabels using the ``Axes`` helper
 # method::
 #
-#     for label in ax.get_xticklabels():
-#         label.set_color('orange')
+#     ax.tick_params(axis='x', labelcolor='orange')
 #
-# Below is a summary of the Artists that the Axes contains
+# Below is a summary of the Artists that the `~.axes.Axes` contains
 #
 # ==============    =========================================
 # Axes attribute    Description
 # ==============    =========================================
-# artists           A list of `.Artist` instances
+# artists           An `.ArtistList` of `.Artist` instances
 # patch             `.Rectangle` instance for Axes background
-# collections       A list of `.Collection` instances
-# images            A list of `.AxesImage`
-# legends           A list of `.Legend` instances
-# lines             A list of `.Line2D` instances
-# patches           A list of `.Patch` instances
-# texts             A list of `.Text` instances
+# collections       An `.ArtistList` of `.Collection` instances
+# images            An `.ArtistList` of `.AxesImage`
+# lines             An `.ArtistList` of `.Line2D` instances
+# patches           An `.ArtistList` of `.Patch` instances
+# texts             An `.ArtistList` of `.Text` instances
 # xaxis             A `matplotlib.axis.XAxis` instance
 # yaxis             A `matplotlib.axis.YAxis` instance
 # ==============    =========================================
 #
+# The legend can be accessed by `~.axes.Axes.get_legend`,
+#
 # .. _axis-container:
 #
 # Axis containers

diff --git a/tutorials/introductory/customizing.py b/tutorials/introductory/customizing.py
@@ -217,8 +217,8 @@ def plotting_function():
 #
 # 4. :file:`{INSTALL}/matplotlib/mpl-data/matplotlibrc`, where
 #    :file:`{INSTALL}` is something like
-#    :file:`/usr/lib/python3.7/site-packages` on Linux, and maybe
-#    :file:`C:\\Python37\\Lib\\site-packages` on Windows. Every time you
+#    :file:`/usr/lib/python3.9/site-packages` on Linux, and maybe
+#    :file:`C:\\Python39\\Lib\\site-packages` on Windows. Every time you
 #    install matplotlib, this file will be overwritten, so if you want
 #    your customizations to be saved, please move this file to your
 #    user-specific matplotlib directory.