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<section id="api-changes-for-3-4-0">
<h1>API Changes for 3.4.0<a class="headerlink" href="#api-changes-for-3-4-0" title="Link to this heading">#</a></h1>
<nav class="contents local" id="contents">
<ul class="simple">
<li><p><a class="reference internal" href="#behaviour-changes" id="id2">Behaviour changes</a></p></li>
<li><p><a class="reference internal" href="#deprecations" id="id3">Deprecations</a></p></li>
<li><p><a class="reference internal" href="#removals" id="id4">Removals</a></p></li>
<li><p><a class="reference internal" href="#development-changes" id="id5">Development changes</a></p></li>
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<section id="behaviour-changes">
<h2><a class="toc-backref" href="#id2" role="doc-backlink">Behaviour changes</a><a class="headerlink" href="#behaviour-changes" title="Link to this heading">#</a></h2>
<section id="constrained-layout-rewrite">
<h3>Constrained layout rewrite<a class="headerlink" href="#constrained-layout-rewrite" title="Link to this heading">#</a></h3>
<p>The layout manager <code class="docutils literal notranslate"><span class="pre">constrained_layout</span></code> was re-written with different outer
constraints that should be more robust to complicated subplot layouts.
User-facing changes are:</p>
<ul class="simple">
<li><p>some poorly constrained layouts will have different width/height plots than
before.</p></li>
<li><p>colorbars now respect the <code class="docutils literal notranslate"><span class="pre">anchor</span></code> keyword argument of
<a class="reference internal" href="../colorbar_api.html#matplotlib.colorbar.make_axes" title="matplotlib.colorbar.make_axes"><code class="xref py py-obj docutils literal notranslate"><span class="pre">matplotlib.colorbar.make_axes</span></code></a></p></li>
<li><p>colorbars are wider.</p></li>
<li><p>colorbars in different rows or columns line up more robustly.</p></li>
<li><p><em>hspace</em> and <em>wspace</em> options to <a class="reference internal" href="../_as_gen/matplotlib.figure.Figure.set_constrained_layout_pads.html#matplotlib.figure.Figure.set_constrained_layout_pads" title="matplotlib.figure.Figure.set_constrained_layout_pads"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Figure.set_constrained_layout_pads</span></code></a> were
twice as wide as the docs said they should be. So these now follow the docs.</p></li>
</ul>
<p>This feature will remain "experimental" until the new changes have been used
enough by users, so we anticipate version 3.5 or 3.6. On the other hand,
<code class="docutils literal notranslate"><span class="pre">constrained_layout</span></code> is extensively tested and used in examples in the
library, so using it should be safe, but layouts may not be exactly the same as
more development takes place.</p>
<p>Details of using <code class="docutils literal notranslate"><span class="pre">constrained_layout</span></code>, and its algorithm are available at
<a class="reference internal" href="../../users/explain/axes/constrainedlayout_guide.html#constrainedlayout-guide"><span class="std std-ref">Constrained layout guide</span></a></p>
</section>
<section id="plt-subplot-re-selection-without-keyword-arguments">
<h3><code class="docutils literal notranslate"><span class="pre">plt.subplot</span></code> re-selection without keyword arguments<a class="headerlink" href="#plt-subplot-re-selection-without-keyword-arguments" title="Link to this heading">#</a></h3>
<p>The purpose of <a class="reference internal" href="../_as_gen/matplotlib.pyplot.subplot.html#matplotlib.pyplot.subplot" title="matplotlib.pyplot.subplot"><code class="xref py py-obj docutils literal notranslate"><span class="pre">pyplot.subplot</span></code></a> is to facilitate creating and re-selecting
Axes in a Figure when working strictly in the implicit pyplot API. When
creating new Axes it is possible to select the projection (e.g. polar, 3D, or
various cartographic projections) as well as to pass additional keyword
arguments through to the Axes-subclass that is created.</p>
<p>The first time <a class="reference internal" href="../_as_gen/matplotlib.pyplot.subplot.html#matplotlib.pyplot.subplot" title="matplotlib.pyplot.subplot"><code class="xref py py-obj docutils literal notranslate"><span class="pre">pyplot.subplot</span></code></a> is called for a given position in the Axes
grid it always creates and returns a new Axes with the passed arguments and
projection (defaulting to rectilinear). On subsequent calls to
<a class="reference internal" href="../_as_gen/matplotlib.pyplot.subplot.html#matplotlib.pyplot.subplot" title="matplotlib.pyplot.subplot"><code class="xref py py-obj docutils literal notranslate"><span class="pre">pyplot.subplot</span></code></a> we have to determine if an existing Axes has a) equivalent
parameters, in which case it should be selected as the current Axes and
returned, or b) different parameters, in which case a new Axes is created and
the existing Axes is removed. This leaves the question of what is "equivalent
parameters".</p>
<p>Previously it was the case that an existing Axes subclass, except for Axes3D,
would be considered equivalent to a 2D rectilinear Axes, despite having
different projections, if the keyword arguments (other than <em>projection</em>)
matched. Thus:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">ax1</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplot</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="n">projection</span><span class="o">=</span><span class="s1">'polar'</span><span class="p">)</span>
<span class="n">ax2</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span>
<span class="n">ax1</span> <span class="ow">is</span> <span class="n">ax2</span>
</pre></div>
</div>
<p>We are embracing this long standing behavior to ensure that in the case when no
keyword arguments (of any sort) are passed to <a class="reference internal" href="../_as_gen/matplotlib.pyplot.subplot.html#matplotlib.pyplot.subplot" title="matplotlib.pyplot.subplot"><code class="xref py py-obj docutils literal notranslate"><span class="pre">pyplot.subplot</span></code></a> any existing
Axes is returned, without consideration for keywords or projection used to
initially create it. This will cause a change in behavior when additional
keywords were passed to the original Axes:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">ax1</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplot</span><span class="p">(</span><span class="mi">111</span><span class="p">,</span> <span class="n">projection</span><span class="o">=</span><span class="s1">'polar'</span><span class="p">,</span> <span class="n">theta_offset</span><span class="o">=</span><span class="mf">.75</span><span class="p">)</span>
<span class="n">ax2</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span>
<span class="n">ax1</span> <span class="ow">is</span> <span class="n">ax2</span> <span class="c1"># new behavior</span>
<span class="c1"># ax1 is not ax2 # old behavior, made a new axes</span>
<span class="n">ax1</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplot</span><span class="p">(</span><span class="mi">111</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">'test'</span><span class="p">)</span>
<span class="n">ax2</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span>
<span class="n">ax1</span> <span class="ow">is</span> <span class="n">ax2</span> <span class="c1"># new behavior</span>
<span class="c1"># ax1 is not ax2 # old behavior, made a new axes</span>
</pre></div>
</div>
<p>For the same reason, if there was an existing Axes that was not rectilinear,
passing <code class="docutils literal notranslate"><span class="pre">projection='rectilinear'</span></code> would reuse the existing Axes</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">ax1</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplot</span><span class="p">(</span><span class="n">projection</span><span class="o">=</span><span class="s1">'polar'</span><span class="p">)</span>
<span class="n">ax2</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplot</span><span class="p">(</span><span class="n">projection</span><span class="o">=</span><span class="s1">'rectilinear'</span><span class="p">)</span>
<span class="n">ax1</span> <span class="ow">is</span> <span class="ow">not</span> <span class="n">ax2</span> <span class="c1"># new behavior, makes new Axes</span>
<span class="c1"># ax1 is ax2 # old behavior</span>
</pre></div>
</div>
<p>contrary to the user's request.</p>
<p>Previously Axes3D could not be re-selected with <a class="reference internal" href="../_as_gen/matplotlib.pyplot.subplot.html#matplotlib.pyplot.subplot" title="matplotlib.pyplot.subplot"><code class="xref py py-obj docutils literal notranslate"><span class="pre">pyplot.subplot</span></code></a> due to an
unrelated bug (also fixed in Matplotlib 3.4). While Axes3D are now consistent
with all other projections there is a change in behavior for</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">plt</span><span class="o">.</span><span class="n">subplot</span><span class="p">(</span><span class="n">projection</span><span class="o">=</span><span class="s1">'3d'</span><span class="p">)</span> <span class="c1"># create a 3D Axes</span>
<span class="n">plt</span><span class="o">.</span><span class="n">subplot</span><span class="p">()</span> <span class="c1"># now returns existing 3D Axes, but</span>
<span class="c1"># previously created new 2D Axes</span>
<span class="n">plt</span><span class="o">.</span><span class="n">subplot</span><span class="p">(</span><span class="n">projection</span><span class="o">=</span><span class="s1">'rectilinear'</span><span class="p">)</span> <span class="c1"># to get a new 2D Axes</span>
</pre></div>
</div>
</section>
<section id="ioff-and-ion-can-be-used-as-context-managers">
<h3><code class="docutils literal notranslate"><span class="pre">ioff</span></code> and <code class="docutils literal notranslate"><span class="pre">ion</span></code> can be used as context managers<a class="headerlink" href="#ioff-and-ion-can-be-used-as-context-managers" title="Link to this heading">#</a></h3>
<p><a class="reference internal" href="../_as_gen/matplotlib.pyplot.ion.html#matplotlib.pyplot.ion" title="matplotlib.pyplot.ion"><code class="xref py py-obj docutils literal notranslate"><span class="pre">pyplot.ion</span></code></a> and <a class="reference internal" href="../_as_gen/matplotlib.pyplot.ioff.html#matplotlib.pyplot.ioff" title="matplotlib.pyplot.ioff"><code class="xref py py-obj docutils literal notranslate"><span class="pre">pyplot.ioff</span></code></a> may now be used as context managers to create
a context with interactive mode on or off, respectively. The old behavior of
calling these functions is maintained. To use the new functionality call as:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="k">with</span> <span class="n">plt</span><span class="o">.</span><span class="n">ioff</span><span class="p">():</span>
<span class="c1"># non-interactive code</span>
</pre></div>
</div>
</section>
<section id="locators-and-formatters-must-be-in-the-class-hierarchy">
<h3>Locators and formatters must be in the class hierarchy<a class="headerlink" href="#locators-and-formatters-must-be-in-the-class-hierarchy" title="Link to this heading">#</a></h3>
<p>Axis locators and formatters must now be subclasses of
<a class="reference internal" href="../ticker_api.html#matplotlib.ticker.Locator" title="matplotlib.ticker.Locator"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Locator</span></code></a> and <a class="reference internal" href="../ticker_api.html#matplotlib.ticker.Formatter" title="matplotlib.ticker.Formatter"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Formatter</span></code></a> respectively.</p>
</section>
<section id="date-locator-for-daily-interval-now-returns-middle-of-month">
<h3>Date locator for DAILY interval now returns middle of month<a class="headerlink" href="#date-locator-for-daily-interval-now-returns-middle-of-month" title="Link to this heading">#</a></h3>
<p>The <a class="reference internal" href="../dates_api.html#matplotlib.dates.AutoDateLocator" title="matplotlib.dates.AutoDateLocator"><code class="xref py py-obj docutils literal notranslate"><span class="pre">matplotlib.dates.AutoDateLocator</span></code></a> has a default of
<code class="docutils literal notranslate"><span class="pre">interval_multiples=True</span></code> that attempts to align ticks with the start of
meaningful intervals like the start of the month, or start of the day, etc.
That lead to approximately 140-day intervals being mapped to the first and 22nd
of the month. This has now been changed so that it chooses the first and 15th
of the month, which is probably what most people want.</p>
</section>
<section id="scalarformatter-uselocale-option-obeys-grouping">
<h3><code class="docutils literal notranslate"><span class="pre">ScalarFormatter</span></code> <em>useLocale</em> option obeys grouping<a class="headerlink" href="#scalarformatter-uselocale-option-obeys-grouping" title="Link to this heading">#</a></h3>
<p>When the <a class="reference internal" href="../ticker_api.html#matplotlib.ticker.ScalarFormatter" title="matplotlib.ticker.ScalarFormatter"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ScalarFormatter</span></code></a> option <em>useLocale</em> is enabled (or
<code class="docutils literal notranslate"><a class="reference internal" href="../../users/explain/configuration.html?highlight=axes.formatter.use_locale#rcparam-axes-formatter-use-locale"><span class="std std-ref"><span class="pre">rcParams["axes.formatter.use_locale"]</span></span></a></code> (default: <code class="docutils literal notranslate"><span class="pre">False</span></code>) is <em>True</em>) and the configured locale uses
grouping, a separator will be added as described in <a class="reference external" href="https://docs.python.org/3/library/locale.html#locale.format_string" title="(in Python v3.14)"><code class="xref py py-obj docutils literal notranslate"><span class="pre">locale.format_string</span></code></a>.</p>
</section>
<section id="axes-errorbar-cycles-non-color-properties-correctly">
<h3><code class="docutils literal notranslate"><span class="pre">Axes.errorbar</span></code> cycles non-color properties correctly<a class="headerlink" href="#axes-errorbar-cycles-non-color-properties-correctly" title="Link to this heading">#</a></h3>
<p>Formerly, <a class="reference internal" href="../_as_gen/matplotlib.axes.Axes.errorbar.html#matplotlib.axes.Axes.errorbar" title="matplotlib.axes.Axes.errorbar"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Axes.errorbar</span></code></a> incorrectly skipped the Axes property cycle if a
color was explicitly specified, even if the property cycler was for other
properties (such as line style). Now, <a class="reference internal" href="../_as_gen/matplotlib.axes.Axes.errorbar.html#matplotlib.axes.Axes.errorbar" title="matplotlib.axes.Axes.errorbar"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Axes.errorbar</span></code></a> will advance the Axes
property cycle as done for <a class="reference internal" href="../_as_gen/matplotlib.axes.Axes.plot.html#matplotlib.axes.Axes.plot" title="matplotlib.axes.Axes.plot"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Axes.plot</span></code></a>, i.e., as long as all properties in the
cycler are not explicitly passed.</p>
</section>
<section id="pyplot-specgram-always-uses-origin-upper">
<h3>pyplot.specgram always uses origin='upper'<a class="headerlink" href="#pyplot-specgram-always-uses-origin-upper" title="Link to this heading">#</a></h3>
<p>Previously if <code class="docutils literal notranslate"><a class="reference internal" href="../../users/explain/configuration.html?highlight=image.origin#rcparam-image-origin"><span class="std std-ref"><span class="pre">rcParams["image.origin"]</span></span></a></code> (default: <code class="docutils literal notranslate"><span class="pre">'upper'</span></code>) was set to something other than <code class="docutils literal notranslate"><span class="pre">'upper'</span></code> or
if the <em>origin</em> keyword argument was passed with a value other than
<code class="docutils literal notranslate"><span class="pre">'upper'</span></code>, the spectrogram itself would flip, but the Axes would remain
oriented for an origin value of <code class="docutils literal notranslate"><span class="pre">'upper'</span></code>, so that the resulting plot was
incorrectly labelled.</p>
<p>Now, the <em>origin</em> keyword argument is not supported and the <code class="docutils literal notranslate"><span class="pre">image.origin</span></code>
rcParam is ignored. The function <a class="reference internal" href="../_as_gen/matplotlib.pyplot.specgram.html#matplotlib.pyplot.specgram" title="matplotlib.pyplot.specgram"><code class="xref py py-obj docutils literal notranslate"><span class="pre">matplotlib.pyplot.specgram</span></code></a> is forced to use
<code class="docutils literal notranslate"><span class="pre">origin='upper'</span></code>, so that the Axes are correct for the plotted spectrogram.</p>
</section>
<section id="xunits-none-and-yunits-none-passed-as-keyword-arguments-are-treated-as-no-action">
<h3>xunits=None and yunits=None passed as keyword arguments are treated as "no action"<a class="headerlink" href="#xunits-none-and-yunits-none-passed-as-keyword-arguments-are-treated-as-no-action" title="Link to this heading">#</a></h3>
<p>Many (but not all) of the methods on <a class="reference internal" href="../_as_gen/matplotlib.axes.Axes.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Axes</span></code></a> take the (undocumented)
keyword arguments <em>xunits</em> and <em>yunits</em> that will update the units on the given
Axis by calling <a class="reference internal" href="../_as_gen/matplotlib.axis.Axis.set_units.html#matplotlib.axis.Axis.set_units" title="matplotlib.axis.Axis.set_units"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Axis.set_units</span></code></a> and <a class="reference internal" href="../_as_gen/matplotlib.axis.Axis.update_units.html#matplotlib.axis.Axis.update_units" title="matplotlib.axis.Axis.update_units"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Axis.update_units</span></code></a>.</p>