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<section id="changes-for-0-98-0">
<h1>Changes for 0.98.0<a class="headerlink" href="#changes-for-0-98-0" title="Link to this heading">#</a></h1>
<ul class="simple">
<li><p><a class="reference internal" href="../image_api.html#matplotlib.image.imread" title="matplotlib.image.imread"><code class="xref py py-func docutils literal notranslate"><span class="pre">matplotlib.image.imread()</span></code></a> now no longer always returns RGBA data---if
the image is luminance or RGB, it will return a MxN or MxNx3 array
if possible. Also uint8 is no longer always forced to float.</p></li>
<li><p>Rewrote the <a class="reference internal" href="../cm_api.html#matplotlib.cm.ScalarMappable" title="matplotlib.cm.ScalarMappable"><code class="xref py py-class docutils literal notranslate"><span class="pre">matplotlib.cm.ScalarMappable</span></code></a> callback
infrastructure to use <a class="reference internal" href="../cbook_api.html#matplotlib.cbook.CallbackRegistry" title="matplotlib.cbook.CallbackRegistry"><code class="xref py py-class docutils literal notranslate"><span class="pre">matplotlib.cbook.CallbackRegistry</span></code></a>
rather than custom callback handling. Any users of
<code class="docutils literal notranslate"><span class="pre">matplotlib.cm.ScalarMappable.add_observer</span></code> of the
<a class="reference internal" href="../cm_api.html#matplotlib.cm.ScalarMappable" title="matplotlib.cm.ScalarMappable"><code class="xref py py-class docutils literal notranslate"><span class="pre">ScalarMappable</span></code></a> should use the
<code class="docutils literal notranslate"><span class="pre">matplotlib.cm.ScalarMappable.callbacksSM</span></code>
<a class="reference internal" href="../cbook_api.html#matplotlib.cbook.CallbackRegistry" title="matplotlib.cbook.CallbackRegistry"><code class="xref py py-class docutils literal notranslate"><span class="pre">CallbackRegistry</span></code></a> instead.</p></li>
<li><p>New axes function and Axes method provide control over the plot
color cycle: <code class="docutils literal notranslate"><span class="pre">matplotlib.axes.set_default_color_cycle</span></code> and
<code class="docutils literal notranslate"><span class="pre">matplotlib.axes.Axes.set_color_cycle</span></code>.</p></li>
<li><p>Matplotlib now requires Python 2.4, so <a class="reference internal" href="../cbook_api.html#module-matplotlib.cbook" title="matplotlib.cbook"><code class="xref py py-mod docutils literal notranslate"><span class="pre">matplotlib.cbook</span></code></a> will
no longer provide <a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#set" title="(in Python v3.12)"><code class="xref py py-class docutils literal notranslate"><span class="pre">set</span></code></a>, <a class="reference external" href="https://docs.python.org/3/library/functions.html#enumerate" title="(in Python v3.12)"><code class="xref py py-func docutils literal notranslate"><span class="pre">enumerate()</span></code></a>, <a class="reference external" href="https://docs.python.org/3/library/functions.html#reversed" title="(in Python v3.12)"><code class="xref py py-func docutils literal notranslate"><span class="pre">reversed()</span></code></a>
or <code class="docutils literal notranslate"><span class="pre">izip</span></code> compatibility functions.</p></li>
<li><p>In Numpy 1.0, bins are specified by the left edges only. The axes
method <a class="reference internal" href="../_as_gen/matplotlib.axes.Axes.hist.html#matplotlib.axes.Axes.hist" title="matplotlib.axes.Axes.hist"><code class="xref py py-meth docutils literal notranslate"><span class="pre">matplotlib.axes.Axes.hist()</span></code></a> now uses future Numpy 1.3
semantics for histograms. Providing <code class="docutils literal notranslate"><span class="pre">binedges</span></code>, the last value gives
the upper-right edge now, which was implicitly set to +infinity in
Numpy 1.0. This also means that the last bin doesn't contain upper
outliers any more by default.</p></li>
<li><p>New axes method and pyplot function,
<a class="reference internal" href="../_as_gen/matplotlib.pyplot.hexbin.html#matplotlib.pyplot.hexbin" title="matplotlib.pyplot.hexbin"><code class="xref py py-func docutils literal notranslate"><span class="pre">hexbin()</span></code></a>, is an alternative to
<a class="reference internal" href="../_as_gen/matplotlib.pyplot.scatter.html#matplotlib.pyplot.scatter" title="matplotlib.pyplot.scatter"><code class="xref py py-func docutils literal notranslate"><span class="pre">scatter()</span></code></a> for large datasets. It makes
something like a <a class="reference internal" href="../_as_gen/matplotlib.pyplot.pcolor.html#matplotlib.pyplot.pcolor" title="matplotlib.pyplot.pcolor"><code class="xref py py-func docutils literal notranslate"><span class="pre">pcolor()</span></code></a> of a 2-D
histogram, but uses hexagonal bins.</p></li>
<li><p>New kwarg, <code class="docutils literal notranslate"><span class="pre">symmetric</span></code>, in <a class="reference internal" href="../ticker_api.html#matplotlib.ticker.MaxNLocator" title="matplotlib.ticker.MaxNLocator"><code class="xref py py-class docutils literal notranslate"><span class="pre">matplotlib.ticker.MaxNLocator</span></code></a>
allows one require an axis to be centered around zero.</p></li>
<li><p>Toolkits must now be imported from <code class="docutils literal notranslate"><span class="pre">mpl_toolkits</span></code> (not <code class="docutils literal notranslate"><span class="pre">matplotlib.toolkits</span></code>)</p></li>
</ul>
<section id="notes-about-the-transforms-refactoring">
<h2>Notes about the transforms refactoring<a class="headerlink" href="#notes-about-the-transforms-refactoring" title="Link to this heading">#</a></h2>
<p>A major new feature of the 0.98 series is a more flexible and
extensible transformation infrastructure, written in Python/Numpy
rather than a custom C extension.</p>
<p>The primary goal of this refactoring was to make it easier to
extend matplotlib to support new kinds of projections. This is
mostly an internal improvement, and the possible user-visible
changes it allows are yet to come.</p>
<p>See <a class="reference internal" href="../transformations.html#module-matplotlib.transforms" title="matplotlib.transforms"><code class="xref py py-mod docutils literal notranslate"><span class="pre">matplotlib.transforms</span></code></a> for a description of the design of
the new transformation framework.</p>
<p>For efficiency, many of these functions return views into Numpy
arrays. This means that if you hold on to a reference to them,
their contents may change. If you want to store a snapshot of
their current values, use the Numpy array method copy().</p>
<p>The view intervals are now stored only in one place -- in the
<a class="reference internal" href="../_as_gen/matplotlib.axes.Axes.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes"><code class="xref py py-class docutils literal notranslate"><span class="pre">matplotlib.axes.Axes</span></code></a> instance, not in the locator instances
as well. This means locators must get their limits from their
<a class="reference internal" href="../axis_api.html#matplotlib.axis.Axis" title="matplotlib.axis.Axis"><code class="xref py py-class docutils literal notranslate"><span class="pre">matplotlib.axis.Axis</span></code></a>, which in turn looks up its limits from
the <a class="reference internal" href="../_as_gen/matplotlib.axes.Axes.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes"><code class="xref py py-class docutils literal notranslate"><span class="pre">Axes</span></code></a>. If a locator is used temporarily
and not assigned to an Axis or Axes, (e.g., in
<a class="reference internal" href="../contour_api.html#module-matplotlib.contour" title="matplotlib.contour"><code class="xref py py-mod docutils literal notranslate"><span class="pre">matplotlib.contour</span></code></a>), a dummy axis must be created to store its
bounds. Call <a class="reference internal" href="../ticker_api.html#matplotlib.ticker.TickHelper.create_dummy_axis" title="matplotlib.ticker.TickHelper.create_dummy_axis"><code class="xref py py-meth docutils literal notranslate"><span class="pre">matplotlib.ticker.TickHelper.create_dummy_axis()</span></code></a> to
do so.</p>
<p>The functionality of <code class="docutils literal notranslate"><span class="pre">Pbox</span></code> has been merged with
<a class="reference internal" href="../transformations.html#matplotlib.transforms.Bbox" title="matplotlib.transforms.Bbox"><code class="xref py py-class docutils literal notranslate"><span class="pre">Bbox</span></code></a>. Its methods now all return
copies rather than modifying in place.</p>
<p>The following lists many of the simple changes necessary to update
code from the old transformation framework to the new one. In
particular, methods that return a copy are named with a verb in the
past tense, whereas methods that alter an object in place are named
with a verb in the present tense.</p>
<section id="matplotlib-transforms">
<h3><a class="reference internal" href="../transformations.html#module-matplotlib.transforms" title="matplotlib.transforms"><code class="xref py py-mod docutils literal notranslate"><span class="pre">matplotlib.transforms</span></code></a><a class="headerlink" href="#matplotlib-transforms" title="Link to this heading">#</a></h3>
<table class="table">
<thead>
<tr class="row-odd"><th class="head"><p>Old method</p></th>
<th class="head"><p>New method</p></th>
</tr>
</thead>
<tbody>
<tr class="row-even"><td><p><code class="docutils literal notranslate"><span class="pre">Bbox.get_bounds</span></code></p></td>
<td><p><a class="reference internal" href="../transformations.html#matplotlib.transforms.Bbox.bounds" title="matplotlib.transforms.Bbox.bounds"><code class="xref py py-attr docutils literal notranslate"><span class="pre">transforms.Bbox.bounds</span></code></a></p></td>
</tr>
<tr class="row-odd"><td><p><code class="docutils literal notranslate"><span class="pre">Bbox.width</span></code></p></td>
<td><p><a class="reference internal" href="../transformations.html#matplotlib.transforms.BboxBase.width" title="matplotlib.transforms.BboxBase.width"><code class="xref py py-attr docutils literal notranslate"><span class="pre">transforms.Bbox.width</span></code></a></p></td>
</tr>
<tr class="row-even"><td><p><code class="docutils literal notranslate"><span class="pre">Bbox.height</span></code></p></td>
<td><p><a class="reference internal" href="../transformations.html#matplotlib.transforms.BboxBase.height" title="matplotlib.transforms.BboxBase.height"><code class="xref py py-attr docutils literal notranslate"><span class="pre">transforms.Bbox.height</span></code></a></p></td>
</tr>
<tr class="row-odd"><td><p><code class="docutils literal notranslate"><span class="pre">Bbox.intervalx().get_bounds()</span></code>
<code class="docutils literal notranslate"><span class="pre">Bbox.intervalx().set_bounds()</span></code></p></td>
<td><p><a class="reference internal" href="../transformations.html#matplotlib.transforms.Bbox.intervalx" title="matplotlib.transforms.Bbox.intervalx"><code class="xref py py-attr docutils literal notranslate"><span class="pre">transforms.Bbox.intervalx</span></code></a>
[It is now a property.]</p></td>
</tr>
<tr class="row-even"><td><p><code class="docutils literal notranslate"><span class="pre">Bbox.intervaly().get_bounds()</span></code>
<code class="docutils literal notranslate"><span class="pre">Bbox.intervaly().set_bounds()</span></code></p></td>
<td><p><a class="reference internal" href="../transformations.html#matplotlib.transforms.Bbox.intervaly" title="matplotlib.transforms.Bbox.intervaly"><code class="xref py py-attr docutils literal notranslate"><span class="pre">transforms.Bbox.intervaly</span></code></a>
[It is now a property.]</p></td>
</tr>
<tr class="row-odd"><td><p><code class="docutils literal notranslate"><span class="pre">Bbox.xmin</span></code></p></td>
<td><p><a class="reference internal" href="../transformations.html#matplotlib.transforms.Bbox.x0" title="matplotlib.transforms.Bbox.x0"><code class="xref py py-attr docutils literal notranslate"><span class="pre">transforms.Bbox.x0</span></code></a> or
<a class="reference internal" href="../transformations.html#matplotlib.transforms.BboxBase.xmin" title="matplotlib.transforms.BboxBase.xmin"><code class="xref py py-attr docutils literal notranslate"><span class="pre">transforms.Bbox.xmin</span></code></a> <a class="footnote-reference brackets" href="#id5" id="id1" role="doc-noteref"><span class="fn-bracket">[</span>1<span class="fn-bracket">]</span></a></p></td>
</tr>
<tr class="row-even"><td><p><code class="docutils literal notranslate"><span class="pre">Bbox.ymin</span></code></p></td>
<td><p><a class="reference internal" href="../transformations.html#matplotlib.transforms.Bbox.y0" title="matplotlib.transforms.Bbox.y0"><code class="xref py py-attr docutils literal notranslate"><span class="pre">transforms.Bbox.y0</span></code></a> or
<a class="reference internal" href="../transformations.html#matplotlib.transforms.BboxBase.ymin" title="matplotlib.transforms.BboxBase.ymin"><code class="xref py py-attr docutils literal notranslate"><span class="pre">transforms.Bbox.ymin</span></code></a> <a class="footnote-reference brackets" href="#id5" id="id2" role="doc-noteref"><span class="fn-bracket">[</span>1<span class="fn-bracket">]</span></a></p></td>
</tr>
<tr class="row-odd"><td><p><code class="docutils literal notranslate"><span class="pre">Bbox.xmax</span></code></p></td>
<td><p><a class="reference internal" href="../transformations.html#matplotlib.transforms.Bbox.x1" title="matplotlib.transforms.Bbox.x1"><code class="xref py py-attr docutils literal notranslate"><span class="pre">transforms.Bbox.x1</span></code></a> or
<a class="reference internal" href="../transformations.html#matplotlib.transforms.BboxBase.xmax" title="matplotlib.transforms.BboxBase.xmax"><code class="xref py py-attr docutils literal notranslate"><span class="pre">transforms.Bbox.xmax</span></code></a> <a class="footnote-reference brackets" href="#id5" id="id3" role="doc-noteref"><span class="fn-bracket">[</span>1<span class="fn-bracket">]</span></a></p></td>
</tr>
<tr class="row-even"><td><p><code class="docutils literal notranslate"><span class="pre">Bbox.ymax</span></code></p></td>
<td><p><a class="reference internal" href="../transformations.html#matplotlib.transforms.Bbox.y1" title="matplotlib.transforms.Bbox.y1"><code class="xref py py-attr docutils literal notranslate"><span class="pre">transforms.Bbox.y1</span></code></a> or
<a class="reference internal" href="../transformations.html#matplotlib.transforms.BboxBase.ymax" title="matplotlib.transforms.BboxBase.ymax"><code class="xref py py-attr docutils literal notranslate"><span class="pre">transforms.Bbox.ymax</span></code></a> <a class="footnote-reference brackets" href="#id5" id="id4" role="doc-noteref"><span class="fn-bracket">[</span>1<span class="fn-bracket">]</span></a></p></td>
</tr>
<tr class="row-odd"><td><p><code class="docutils literal notranslate"><span class="pre">Bbox.overlaps(bboxes)</span></code></p></td>
<td><p><a class="reference internal" href="../transformations.html#matplotlib.transforms.BboxBase.count_overlaps" title="matplotlib.transforms.BboxBase.count_overlaps"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Bbox.count_overlaps(bboxes)</span></code></a></p></td>
</tr>
<tr class="row-even"><td><p><code class="docutils literal notranslate"><span class="pre">bbox_all(bboxes)</span></code></p></td>
<td><p><a class="reference internal" href="../transformations.html#matplotlib.transforms.BboxBase.union" title="matplotlib.transforms.BboxBase.union"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Bbox.union(bboxes)</span></code></a>
[It is a staticmethod.]</p></td>
</tr>
<tr class="row-odd"><td><p><code class="docutils literal notranslate"><span class="pre">lbwh_to_bbox(l,</span> <span class="pre">b,</span> <span class="pre">w,</span> <span class="pre">h)</span></code></p></td>
<td><p><a class="reference internal" href="../transformations.html#matplotlib.transforms.Bbox.from_bounds" title="matplotlib.transforms.Bbox.from_bounds"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Bbox.from_bounds(x0,</span> <span class="pre">y0,</span> <span class="pre">w,</span> <span class="pre">h)</span></code></a>
[It is a staticmethod.]</p></td>
</tr>
<tr class="row-even"><td><p><code class="docutils literal notranslate"><span class="pre">inverse_transform_bbox(trans,</span> <span class="pre">bbox)</span></code></p></td>
<td><p><code class="docutils literal notranslate"><span class="pre">bbox.inverse_transformed(trans)</span></code></p></td>
</tr>
<tr class="row-odd"><td><p><code class="docutils literal notranslate"><span class="pre">Interval.contains_open(v)</span></code></p></td>
<td><p><a class="reference internal" href="../transformations.html#matplotlib.transforms.interval_contains_open" title="matplotlib.transforms.interval_contains_open"><code class="xref py py-obj docutils literal notranslate"><span class="pre">interval_contains_open(tuple,</span> <span class="pre">v)</span></code></a></p></td>
</tr>
<tr class="row-even"><td><p><code class="docutils literal notranslate"><span class="pre">Interval.contains(v)</span></code></p></td>
<td><p><a class="reference internal" href="../transformations.html#matplotlib.transforms.interval_contains" title="matplotlib.transforms.interval_contains"><code class="xref py py-obj docutils literal notranslate"><span class="pre">interval_contains(tuple,</span> <span class="pre">v)</span></code></a></p></td>
</tr>
<tr class="row-odd"><td><p><code class="docutils literal notranslate"><span class="pre">identity_transform()</span></code></p></td>
<td><p><a class="reference internal" href="../transformations.html#matplotlib.transforms.IdentityTransform" title="matplotlib.transforms.IdentityTransform"><code class="xref py py-class docutils literal notranslate"><span class="pre">transforms.IdentityTransform</span></code></a></p></td>
</tr>
<tr class="row-even"><td><p><code class="docutils literal notranslate"><span class="pre">blend_xy_sep_transform(xtrans,</span> <span class="pre">ytrans)</span></code></p></td>
<td><p><a class="reference internal" href="../transformations.html#matplotlib.transforms.blended_transform_factory" title="matplotlib.transforms.blended_transform_factory"><code class="xref py py-obj docutils literal notranslate"><span class="pre">blended_transform_factory(xtrans,</span> <span class="pre">ytrans)</span></code></a></p></td>
</tr>
<tr class="row-odd"><td><p><code class="docutils literal notranslate"><span class="pre">scale_transform(xs,</span> <span class="pre">ys)</span></code></p></td>
<td><p><a class="reference internal" href="../transformations.html#matplotlib.transforms.Affine2D.scale" title="matplotlib.transforms.Affine2D.scale"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Affine2D().scale(xs[,</span> <span class="pre">ys])</span></code></a></p></td>
</tr>
<tr class="row-even"><td><p><code class="docutils literal notranslate"><span class="pre">get_bbox_transform(boxin,</span> <span class="pre">boxout)</span></code></p></td>
<td><p><a class="reference internal" href="../transformations.html#matplotlib.transforms.BboxTransform" title="matplotlib.transforms.BboxTransform"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BboxTransform(boxin,</span> <span class="pre">boxout)</span></code></a> or
<a class="reference internal" href="../transformations.html#matplotlib.transforms.BboxTransformFrom" title="matplotlib.transforms.BboxTransformFrom"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BboxTransformFrom(boxin)</span></code></a> or
<a class="reference internal" href="../transformations.html#matplotlib.transforms.BboxTransformTo" title="matplotlib.transforms.BboxTransformTo"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BboxTransformTo(boxout)</span></code></a></p></td>
</tr>
<tr class="row-odd"><td><p><code class="docutils literal notranslate"><span class="pre">Transform.seq_xy_tup(points)</span></code></p></td>
<td><p><a class="reference internal" href="../transformations.html#matplotlib.transforms.Transform.transform" title="matplotlib.transforms.Transform.transform"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Transform.transform(points)</span></code></a></p></td>
</tr>
<tr class="row-even"><td><p><code class="docutils literal notranslate"><span class="pre">Transform.inverse_xy_tup(points)</span></code></p></td>
<td><p><a class="reference internal" href="../transformations.html#matplotlib.transforms.Transform.inverted" title="matplotlib.transforms.Transform.inverted"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Transform.inverted()</span></code></a>.transform(points)</p></td>
</tr>
</tbody>
</table>
<aside class="footnote-list brackets">
<aside class="footnote brackets" id="id5" role="doc-footnote">
<span class="label"><span class="fn-bracket">[</span>1<span class="fn-bracket">]</span></span>
<span class="backrefs">(<a role="doc-backlink" href="#id1">1</a>,<a role="doc-backlink" href="#id2">2</a>,<a role="doc-backlink" href="#id3">3</a>,<a role="doc-backlink" href="#id4">4</a>)</span>
<p>The <a class="reference internal" href="../transformations.html#matplotlib.transforms.Bbox" title="matplotlib.transforms.Bbox"><code class="xref py py-class docutils literal notranslate"><span class="pre">Bbox</span></code></a> is bound by the points
(x0, y0) to (x1, y1) and there is no defined order to these points,
that is, x0 is not necessarily the left edge of the box. To get
the left edge of the <a class="reference internal" href="../transformations.html#matplotlib.transforms.Bbox" title="matplotlib.transforms.Bbox"><code class="xref py py-class docutils literal notranslate"><span class="pre">Bbox</span></code></a>, use the read-only property
<a class="reference internal" href="../transformations.html#matplotlib.transforms.BboxBase.xmin" title="matplotlib.transforms.BboxBase.xmin"><code class="xref py py-attr docutils literal notranslate"><span class="pre">xmin</span></code></a>.</p>
</aside>
</aside>
</section>
<section id="matplotlib-axes">
<h3><a class="reference internal" href="../axes_api.html#module-matplotlib.axes" title="matplotlib.axes"><code class="xref py py-mod docutils literal notranslate"><span class="pre">matplotlib.axes</span></code></a><a class="headerlink" href="#matplotlib-axes" title="Link to this heading">#</a></h3>
<table class="table">
<thead>
<tr class="row-odd"><th class="head"><p>Old method</p></th>
<th class="head"><p>New method</p></th>
</tr>
</thead>
<tbody>
<tr class="row-even"><td><p><code class="docutils literal notranslate"><span class="pre">Axes.get_position()</span></code></p></td>
<td><p><a class="reference internal" href="../_as_gen/matplotlib.axes.Axes.get_position.html#matplotlib.axes.Axes.get_position" title="matplotlib.axes.Axes.get_position"><code class="xref py py-meth docutils literal notranslate"><span class="pre">matplotlib.axes.Axes.get_position()</span></code></a> <a class="footnote-reference brackets" href="#id9" id="id6" role="doc-noteref"><span class="fn-bracket">[</span>2<span class="fn-bracket">]</span></a></p></td>
</tr>
<tr class="row-odd"><td><p><code class="docutils literal notranslate"><span class="pre">Axes.set_position()</span></code></p></td>
<td><p><a class="reference internal" href="../_as_gen/matplotlib.axes.Axes.set_position.html#matplotlib.axes.Axes.set_position" title="matplotlib.axes.Axes.set_position"><code class="xref py py-meth docutils literal notranslate"><span class="pre">matplotlib.axes.Axes.set_position()</span></code></a> <a class="footnote-reference brackets" href="#id10" id="id7" role="doc-noteref"><span class="fn-bracket">[</span>3<span class="fn-bracket">]</span></a></p></td>
</tr>
<tr class="row-even"><td><p><code class="docutils literal notranslate"><span class="pre">Axes.toggle_log_lineary()</span></code></p></td>
<td><p><a class="reference internal" href="../_as_gen/matplotlib.axes.Axes.set_yscale.html#matplotlib.axes.Axes.set_yscale" title="matplotlib.axes.Axes.set_yscale"><code class="xref py py-meth docutils literal notranslate"><span class="pre">matplotlib.axes.Axes.set_yscale()</span></code></a> <a class="footnote-reference brackets" href="#id11" id="id8" role="doc-noteref"><span class="fn-bracket">[</span>4<span class="fn-bracket">]</span></a></p></td>
</tr>
<tr class="row-odd"><td><p><code class="docutils literal notranslate"><span class="pre">Subplot</span></code> class</p></td>
<td><p>removed</p></td>
</tr>
</tbody>
</table>
<p>The <code class="docutils literal notranslate"><span class="pre">Polar</span></code> class has moved to <a class="reference internal" href="../projections/polar.html#module-matplotlib.projections.polar" title="matplotlib.projections.polar"><code class="xref py py-mod docutils literal notranslate"><span class="pre">matplotlib.projections.polar</span></code></a>.</p>
<aside class="footnote-list brackets">
<aside class="footnote brackets" id="id9" role="doc-footnote">
<span class="label"><span class="fn-bracket">[</span><a role="doc-backlink" href="#id6">2</a><span class="fn-bracket">]</span></span>
<p><a class="reference internal" href="../_as_gen/matplotlib.axes.Axes.get_position.html#matplotlib.axes.Axes.get_position" title="matplotlib.axes.Axes.get_position"><code class="xref py py-meth docutils literal notranslate"><span class="pre">matplotlib.axes.Axes.get_position()</span></code></a> used to return a list
of points, now it returns a <a class="reference internal" href="../transformations.html#matplotlib.transforms.Bbox" title="matplotlib.transforms.Bbox"><code class="xref py py-class docutils literal notranslate"><span class="pre">matplotlib.transforms.Bbox</span></code></a>
instance.</p>
</aside>
<aside class="footnote brackets" id="id10" role="doc-footnote">
<span class="label"><span class="fn-bracket">[</span><a role="doc-backlink" href="#id7">3</a><span class="fn-bracket">]</span></span>
<p><a class="reference internal" href="../_as_gen/matplotlib.axes.Axes.set_position.html#matplotlib.axes.Axes.set_position" title="matplotlib.axes.Axes.set_position"><code class="xref py py-meth docutils literal notranslate"><span class="pre">matplotlib.axes.Axes.set_position()</span></code></a> now accepts either
four scalars or a <a class="reference internal" href="../transformations.html#matplotlib.transforms.Bbox" title="matplotlib.transforms.Bbox"><code class="xref py py-class docutils literal notranslate"><span class="pre">matplotlib.transforms.Bbox</span></code></a> instance.</p>
</aside>
<aside class="footnote brackets" id="id11" role="doc-footnote">
<span class="label"><span class="fn-bracket">[</span><a role="doc-backlink" href="#id8">4</a><span class="fn-bracket">]</span></span>
<p>Since the refactoring allows for more than two scale types
('log' or 'linear'), it no longer makes sense to have a toggle.
<code class="docutils literal notranslate"><span class="pre">Axes.toggle_log_lineary()</span></code> has been removed.</p>
</aside>
</aside>
</section>
<section id="matplotlib-artist">
<h3><a class="reference internal" href="../artist_api.html#module-matplotlib.artist" title="matplotlib.artist"><code class="xref py py-mod docutils literal notranslate"><span class="pre">matplotlib.artist</span></code></a><a class="headerlink" href="#matplotlib-artist" title="Link to this heading">#</a></h3>
<table class="table">
<thead>