matplotlib · timhoffm · Apr 18, 2020 · Apr 18, 2020
diff --git a/doc/_static/mpl.css b/doc/_static/mpl.css
@@ -3,7 +3,7 @@
  * Originally created by Armin Ronacher for Werkzeug, adapted by Georg Brandl.
  */
 
-/* Carlogo font (simmilar to Calibri in the MPL logo) */
+/* Carlogo font (similar to Calibri in the MPL logo) */
 @font-face {
     font-family: 'CarlogoRegular';
     font-style: normal;

diff --git a/doc/api/api_changes_3.3/deprecations.rst b/doc/api/api_changes_3.3/deprecations.rst
@@ -151,7 +151,7 @@ and containment checks) via `.Line2D.set_picker` is deprecated.  Use
 
 ``Artist.set_contains``, ``Artist.get_contains``
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
-Setting a custom method overridding `.Artist.contains` is deprecated.
+Setting a custom method overriding `.Artist.contains` is deprecated.
 There is no replacement, but you may still customize pick events using
 `.Artist.set_picker`.
 

diff --git a/doc/api/prev_api_changes/api_changes_1.4.x.rst b/doc/api/prev_api_changes/api_changes_1.4.x.rst
@@ -125,7 +125,7 @@ original location:
   `matplotlib.pyplot.csd`, and `matplotlib.pyplot.cohere`, in cases
   where a shape (n, 1) array is returned, this is now converted to a (n, )
   array.  Previously, (n, m) arrays were averaged to an (n, ) array, but
-  (n, 1) arrays were returend unchanged.  This change makes the dimensions
+  (n, 1) arrays were returned unchanged.  This change makes the dimensions
   consistent in both cases.
 
 * Added the :rc:`axes.formatter.useoffset` to control the default value

diff --git a/doc/api/prev_api_changes/api_changes_3.0.0.rst b/doc/api/prev_api_changes/api_changes_3.0.0.rst
@@ -405,10 +405,8 @@ The following classes, methods, functions, and attributes are deprecated:
 - ``textpath.TextToPath.tex_font_map``
 - ``matplotlib.cbook.deprecation.mplDeprecation`` will be removed
   in future versions. It is just an alias for
-  :class:`matplotlib.cbook.deprecation.MatplotlibDeprecationWarning`.
-  Please use the
-  ``matplotlib.cbook.MatplotlibDeprecationWarning`` directly if
-  neccessary.
+  :class:`matplotlib.cbook.deprecation.MatplotlibDeprecationWarning`.  Please
+  use ``matplotlib.cbook.MatplotlibDeprecationWarning`` directly if necessary.
 - The ``matplotlib.cbook.Bunch`` class has been deprecated. Instead, use
   `types.SimpleNamespace` from the standard library which provides the same
   functionality.

diff --git a/doc/api/prev_api_changes/api_changes_3.1.0.rst b/doc/api/prev_api_changes/api_changes_3.1.0.rst
@@ -494,7 +494,7 @@ Classes and methods
   ``backend_bases.FigureManagerBase.show_popup`` (this never did anything)
 - ``backend_wx.SubplotToolWx`` (no replacement)
 - ``backend_wx.Toolbar`` (use ``backend_wx.NavigationToolbar2Wx`` instead)
-- ``cbook.align_iterators`` (no replacment)
+- ``cbook.align_iterators`` (no replacement)
 - ``contour.ContourLabeler.get_real_label_width`` (no replacement)
 - ``legend.Legend.draggable`` (use `legend.Legend.set_draggable()` instead)
 - ``texmanager.TexManager.postscriptd``, ``texmanager.TexManager.pscnt``,

diff --git a/doc/devel/MEP/MEP23.rst b/doc/devel/MEP/MEP23.rst
@@ -108,7 +108,7 @@ implemented the **MultiFigure** magic yet.
 Alternatives
 ============
 
-Insted of modifying the `.FigureManagerBase` it could be possible to add
+Instead of modifying the `.FigureManagerBase` it could be possible to add
 a parallel class, that handles the cases where
 ``rcParams['backend.multifigure'] = True``.  This will warranty that
 there won't be any problems with custom made backends, but also makes

diff --git a/doc/devel/MEP/MEP26.rst b/doc/devel/MEP/MEP26.rst
@@ -175,7 +175,7 @@ python cookbook gives a nice tokenizing recipe on page 66), applying
 the syntax rules and constructing a ``Tree``. This requires defining the
 grammar of the stylesheet (again, we can borrow from CSS) and writing
 a parser. Happily, there is a recipe for this in the python cookbook
-aswell.
+as well.
 
 
 Visitor pattern for matplotlib figure

diff --git a/doc/devel/MEP/MEP28.rst b/doc/devel/MEP/MEP28.rst
@@ -146,7 +146,7 @@ These transformations can then be added to the call signature of
 ``Axes.boxplot`` with little impact to that method's complexity. This is
 because they can be directly passed to ``cbook.boxplot_stats``.
 Alternatively, ``Axes.boxplot`` could be modified to accept an optional
-statistical function kwarg and a dictionary of parameters to be direcly
+statistical function kwarg and a dictionary of parameters to be directly
 passed to it.
 
 At this point in the implementation users and external libraries like

diff --git a/doc/devel/gitwash/configure_git.rst b/doc/devel/gitwash/configure_git.rst
@@ -156,7 +156,7 @@ and it gives graph / text output something like this (but with color!):
     | * 4aff2a8 - fixed bug 35, and added a test in test_bugfixes (2 weeks ago) [Hugo]
     |/  
     * a7ff2e5 - Added notes on discussion/proposal made during Data Array Summit. (2 weeks ago) [Corran Webster]
-    * 68f6752 - Initial implimentation of AxisIndexer - uses 'index_by' which needs to be changed to a call on an Axes object - this is all very sketchy right now. (2 weeks ago) [Corr
+    * 68f6752 - Initial implementation of AxisIndexer - uses 'index_by' which needs to be changed to a call on an Axes object - this is all very sketchy right now. (2 weeks ago) [Corr
     *   376adbd - Merge pull request #46 from terhorst/master (2 weeks ago) [Jonathan Terhorst]
     |\  
     | * b605216 - updated joshu example to current api (3 weeks ago) [Jonathan Terhorst]

diff --git a/doc/devel/min_dep_policy.rst b/doc/devel/min_dep_policy.rst
@@ -35,19 +35,18 @@ See also the :ref:`list-of-dependency-min-versions`.
 Python Dependencies
 ===================
 
-For python dependencies we should support at least:
+For Python dependencies we should support at least:
 
 with compiled extensions
-  minor versions initially released in the 24 months prior to our
-  planned release date or the oldest that support our minimum python +
-  numpy
+  minor versions initially released in the 24 months prior to our planned
+  release date or the oldest that support our minimum Python + NumPy
 
 without complied extensions
-  minor versions initially released in the 12 months prior to our
-  planed release date or the oldest that supports our minimum python.
+  minor versions initially released in the 12 months prior to our planned
+  release date or the oldest that supports our minimum Python.
 
-We will only bump these dependencies as we need new features or the
-old versions no longer support our minimum numpy or python.
+We will only bump these dependencies as we need new features or the old
+versions no longer support our minimum NumPy or Python.
 
 Test and Documentation Dependencies
 ===================================

diff --git a/doc/devel/release_guide.rst b/doc/devel/release_guide.rst
@@ -107,7 +107,7 @@ For the "what's new",
  1. copy the current content to a file in :file:`doc/users/prev_whats_new`
  2. merge all of the files in :file:`doc/users/next_whats_new/` into
     :file:`doc/users/whats_new.rst` and delete the individual files
- 3. comment out the next whats new glob at the top
+ 3. comment out the next what's new glob at the top
 
 Similarly for the "API changes",
 

diff --git a/doc/sphinxext/missing_references.py b/doc/sphinxext/missing_references.py
@@ -137,7 +137,7 @@ def _truncate_location(location):
     Cuts off anything after the first colon in location strings.
 
     This allows for easy comparison even when line numbers chagne
-    (as they do regularily).
+    (as they do regularly).
     """
     return location.split(":", 1)[0]
 

diff --git a/doc/thirdpartypackages/index.rst b/doc/thirdpartypackages/index.rst
@@ -121,7 +121,7 @@ diagrams.
 mpl-probscale
 =============
 `mpl-probscale <https://matplotlib.org/mpl-probscale/>`_ is a small extension
-that allows Matplotlib users to specify probabilty scales. Simply importing the
+that allows Matplotlib users to specify probability scales. Simply importing the
 ``probscale`` module registers the scale with Matplotlib, making it accessible
 via e.g., ``ax.set_xscale('prob')`` or ``plt.yscale('prob')``.
 
@@ -311,8 +311,8 @@ sviewgui
 `sviewgui <https://pypi.org/project/sviewgui/>`_ is a PyQt-based GUI for
 visualisation of data from csv files or `pandas.DataFrame`\s. Main features:
 
-- Scatter, line, density, histgram, and box plot types
-- Settings for the marker size, line width, number of bins of histgram,
+- Scatter, line, density, histogram, and box plot types
+- Settings for the marker size, line width, number of bins of histogram,
   color map (from cmocean)
 - Save figure as editable PDF
 - Code of the plotted graph is available so that it can be reused and modified