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<div class="section" id="matplotlib-transforms">
<h1><code class="docutils literal notranslate"><span class="pre">matplotlib.transforms</span></code><a class="headerlink" href="#matplotlib-transforms" title="Permalink to this headline">¶</a></h1>
<div class="graphviz"><object data="../_images/inheritance-8d1e47eeb0addfe57263800c49ed9230baca0960.svg" type="image/svg+xml" class="inheritance graphviz">
<p class="warning">Inheritance diagram of matplotlib.transforms, matplotlib.path</p></object></div>
<span class="target" id="module-matplotlib.transforms"></span><p>matplotlib includes a framework for arbitrary geometric
transformations that is used determine the final position of all
elements drawn on the canvas.</p>
<p>Transforms are composed into trees of <a class="reference internal" href="#matplotlib.transforms.TransformNode" title="matplotlib.transforms.TransformNode"><code class="xref py py-obj docutils literal notranslate"><span class="pre">TransformNode</span></code></a> objects
whose actual value depends on their children. When the contents of
children change, their parents are automatically invalidated. The
next time an invalidated transform is accessed, it is recomputed to
reflect those changes. This invalidation/caching approach prevents
unnecessary recomputations of transforms, and contributes to better
interactive performance.</p>
<p>For example, here is a graph of the transform tree used to plot data
to the graph:</p>
<img alt="../_images/transforms.png" src="../_images/transforms.png" />
<p>The framework can be used for both affine and non-affine
transformations. However, for speed, we want use the backend
renderers to perform affine transformations whenever possible.
Therefore, it is possible to perform just the affine or non-affine
part of a transformation on a set of data. The affine is always
assumed to occur after the non-affine. For any transform:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">full</span> <span class="n">transform</span> <span class="o">==</span> <span class="n">non</span><span class="o">-</span><span class="n">affine</span> <span class="n">part</span> <span class="o">+</span> <span class="n">affine</span> <span class="n">part</span>
</pre></div>
</div>
<p>The backends are not expected to handle non-affine transformations
themselves.</p>
<dl class="py class">
<dt id="matplotlib.transforms.Affine2D">
<em class="property">class </em><code class="descclassname">matplotlib.transforms.</code><code class="descname">Affine2D</code><span class="sig-paren">(</span><em><span class="n">matrix</span><span class="o">=</span><span class="default_value">None</span></em>, <em><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/transforms.html#Affine2D"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.transforms.Affine2D" title="Permalink to this definition">¶</a></dt>
<dd><p>Bases: <a class="reference internal" href="#matplotlib.transforms.Affine2DBase" title="matplotlib.transforms.Affine2DBase"><code class="xref py py-class docutils literal notranslate"><span class="pre">matplotlib.transforms.Affine2DBase</span></code></a></p>
<p>A mutable 2D affine transformation.</p>
<p>Initialize an Affine transform from a 3x3 numpy float array:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">a</span> <span class="n">c</span> <span class="n">e</span>
<span class="n">b</span> <span class="n">d</span> <span class="n">f</span>
<span class="mi">0</span> <span class="mi">0</span> <span class="mi">1</span>
</pre></div>
</div>
<p>If <em>matrix</em> is None, initialize with the identity transform.</p>
<dl class="py method">
<dt id="matplotlib.transforms.Affine2D.clear">
<code class="descname">clear</code><span class="sig-paren">(</span><em><span class="n">self</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/transforms.html#Affine2D.clear"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.transforms.Affine2D.clear" title="Permalink to this definition">¶</a></dt>
<dd><p>Reset the underlying matrix to the identity transform.</p>
</dd></dl>
<dl class="py method">
<dt id="matplotlib.transforms.Affine2D.from_values">
<em class="property">static </em><code class="descname">from_values</code><span class="sig-paren">(</span><em><span class="n">a</span></em>, <em><span class="n">b</span></em>, <em><span class="n">c</span></em>, <em><span class="n">d</span></em>, <em><span class="n">e</span></em>, <em><span class="n">f</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/transforms.html#Affine2D.from_values"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.transforms.Affine2D.from_values" title="Permalink to this definition">¶</a></dt>
<dd><p>Create a new Affine2D instance from the given values:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">a</span> <span class="n">c</span> <span class="n">e</span>
<span class="n">b</span> <span class="n">d</span> <span class="n">f</span>
<span class="mi">0</span> <span class="mi">0</span> <span class="mi">1</span>
</pre></div>
</div>
<p>.</p>
</dd></dl>
<dl class="py method">
<dt id="matplotlib.transforms.Affine2D.get_matrix">
<code class="descname">get_matrix</code><span class="sig-paren">(</span><em><span class="n">self</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/transforms.html#Affine2D.get_matrix"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.transforms.Affine2D.get_matrix" title="Permalink to this definition">¶</a></dt>
<dd><p>Get the underlying transformation matrix as a 3x3 numpy array:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">a</span> <span class="n">c</span> <span class="n">e</span>
<span class="n">b</span> <span class="n">d</span> <span class="n">f</span>
<span class="mi">0</span> <span class="mi">0</span> <span class="mi">1</span>
</pre></div>
</div>
<p>.</p>
</dd></dl>
<dl class="py method">
<dt id="matplotlib.transforms.Affine2D.identity">
<em class="property">static </em><code class="descname">identity</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/transforms.html#Affine2D.identity"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.transforms.Affine2D.identity" title="Permalink to this definition">¶</a></dt>
<dd><p>Return a new <a class="reference internal" href="#matplotlib.transforms.Affine2D" title="matplotlib.transforms.Affine2D"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Affine2D</span></code></a> object that is the identity transform.</p>
<p>Unless this transform will be mutated later on, consider using
the faster <a class="reference internal" href="#matplotlib.transforms.IdentityTransform" title="matplotlib.transforms.IdentityTransform"><code class="xref py py-class docutils literal notranslate"><span class="pre">IdentityTransform</span></code></a> class instead.</p>
</dd></dl>
<dl class="py method">
<dt id="matplotlib.transforms.Affine2D.rotate">
<code class="descname">rotate</code><span class="sig-paren">(</span><em><span class="n">self</span></em>, <em><span class="n">theta</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/transforms.html#Affine2D.rotate"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.transforms.Affine2D.rotate" title="Permalink to this definition">¶</a></dt>
<dd><p>Add a rotation (in radians) to this transform in place.</p>
<p>Returns <em>self</em>, so this method can easily be chained with more
calls to <a class="reference internal" href="#matplotlib.transforms.Affine2D.rotate" title="matplotlib.transforms.Affine2D.rotate"><code class="xref py py-meth docutils literal notranslate"><span class="pre">rotate()</span></code></a>, <a class="reference internal" href="#matplotlib.transforms.Affine2D.rotate_deg" title="matplotlib.transforms.Affine2D.rotate_deg"><code class="xref py py-meth docutils literal notranslate"><span class="pre">rotate_deg()</span></code></a>, <a class="reference internal" href="#matplotlib.transforms.Affine2D.translate" title="matplotlib.transforms.Affine2D.translate"><code class="xref py py-meth docutils literal notranslate"><span class="pre">translate()</span></code></a>
and <a class="reference internal" href="#matplotlib.transforms.Affine2D.scale" title="matplotlib.transforms.Affine2D.scale"><code class="xref py py-meth docutils literal notranslate"><span class="pre">scale()</span></code></a>.</p>
</dd></dl>
<dl class="py method">
<dt id="matplotlib.transforms.Affine2D.rotate_around">
<code class="descname">rotate_around</code><span class="sig-paren">(</span><em><span class="n">self</span></em>, <em><span class="n">x</span></em>, <em><span class="n">y</span></em>, <em><span class="n">theta</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/transforms.html#Affine2D.rotate_around"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.transforms.Affine2D.rotate_around" title="Permalink to this definition">¶</a></dt>
<dd><p>Add a rotation (in radians) around the point (x, y) in place.</p>
<p>Returns <em>self</em>, so this method can easily be chained with more
calls to <a class="reference internal" href="#matplotlib.transforms.Affine2D.rotate" title="matplotlib.transforms.Affine2D.rotate"><code class="xref py py-meth docutils literal notranslate"><span class="pre">rotate()</span></code></a>, <a class="reference internal" href="#matplotlib.transforms.Affine2D.rotate_deg" title="matplotlib.transforms.Affine2D.rotate_deg"><code class="xref py py-meth docutils literal notranslate"><span class="pre">rotate_deg()</span></code></a>, <a class="reference internal" href="#matplotlib.transforms.Affine2D.translate" title="matplotlib.transforms.Affine2D.translate"><code class="xref py py-meth docutils literal notranslate"><span class="pre">translate()</span></code></a>
and <a class="reference internal" href="#matplotlib.transforms.Affine2D.scale" title="matplotlib.transforms.Affine2D.scale"><code class="xref py py-meth docutils literal notranslate"><span class="pre">scale()</span></code></a>.</p>
</dd></dl>
<dl class="py method">
<dt id="matplotlib.transforms.Affine2D.rotate_deg">
<code class="descname">rotate_deg</code><span class="sig-paren">(</span><em><span class="n">self</span></em>, <em><span class="n">degrees</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/transforms.html#Affine2D.rotate_deg"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.transforms.Affine2D.rotate_deg" title="Permalink to this definition">¶</a></dt>
<dd><p>Add a rotation (in degrees) to this transform in place.</p>
<p>Returns <em>self</em>, so this method can easily be chained with more
calls to <a class="reference internal" href="#matplotlib.transforms.Affine2D.rotate" title="matplotlib.transforms.Affine2D.rotate"><code class="xref py py-meth docutils literal notranslate"><span class="pre">rotate()</span></code></a>, <a class="reference internal" href="#matplotlib.transforms.Affine2D.rotate_deg" title="matplotlib.transforms.Affine2D.rotate_deg"><code class="xref py py-meth docutils literal notranslate"><span class="pre">rotate_deg()</span></code></a>, <a class="reference internal" href="#matplotlib.transforms.Affine2D.translate" title="matplotlib.transforms.Affine2D.translate"><code class="xref py py-meth docutils literal notranslate"><span class="pre">translate()</span></code></a>
and <a class="reference internal" href="#matplotlib.transforms.Affine2D.scale" title="matplotlib.transforms.Affine2D.scale"><code class="xref py py-meth docutils literal notranslate"><span class="pre">scale()</span></code></a>.</p>
</dd></dl>
<dl class="py method">
<dt id="matplotlib.transforms.Affine2D.rotate_deg_around">
<code class="descname">rotate_deg_around</code><span class="sig-paren">(</span><em><span class="n">self</span></em>, <em><span class="n">x</span></em>, <em><span class="n">y</span></em>, <em><span class="n">degrees</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/transforms.html#Affine2D.rotate_deg_around"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.transforms.Affine2D.rotate_deg_around" title="Permalink to this definition">¶</a></dt>
<dd><p>Add a rotation (in degrees) around the point (x, y) in place.</p>
<p>Returns <em>self</em>, so this method can easily be chained with more
calls to <a class="reference internal" href="#matplotlib.transforms.Affine2D.rotate" title="matplotlib.transforms.Affine2D.rotate"><code class="xref py py-meth docutils literal notranslate"><span class="pre">rotate()</span></code></a>, <a class="reference internal" href="#matplotlib.transforms.Affine2D.rotate_deg" title="matplotlib.transforms.Affine2D.rotate_deg"><code class="xref py py-meth docutils literal notranslate"><span class="pre">rotate_deg()</span></code></a>, <a class="reference internal" href="#matplotlib.transforms.Affine2D.translate" title="matplotlib.transforms.Affine2D.translate"><code class="xref py py-meth docutils literal notranslate"><span class="pre">translate()</span></code></a>
and <a class="reference internal" href="#matplotlib.transforms.Affine2D.scale" title="matplotlib.transforms.Affine2D.scale"><code class="xref py py-meth docutils literal notranslate"><span class="pre">scale()</span></code></a>.</p>
</dd></dl>
<dl class="py method">
<dt id="matplotlib.transforms.Affine2D.scale">
<code class="descname">scale</code><span class="sig-paren">(</span><em><span class="n">self</span></em>, <em><span class="n">sx</span></em>, <em><span class="n">sy</span><span class="o">=</span><span class="default_value">None</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/transforms.html#Affine2D.scale"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.transforms.Affine2D.scale" title="Permalink to this definition">¶</a></dt>
<dd><p>Adds a scale in place.</p>
<p>If <em>sy</em> is None, the same scale is applied in both the <em>x</em>- and
<em>y</em>-directions.</p>
<p>Returns <em>self</em>, so this method can easily be chained with more
calls to <a class="reference internal" href="#matplotlib.transforms.Affine2D.rotate" title="matplotlib.transforms.Affine2D.rotate"><code class="xref py py-meth docutils literal notranslate"><span class="pre">rotate()</span></code></a>, <a class="reference internal" href="#matplotlib.transforms.Affine2D.rotate_deg" title="matplotlib.transforms.Affine2D.rotate_deg"><code class="xref py py-meth docutils literal notranslate"><span class="pre">rotate_deg()</span></code></a>, <a class="reference internal" href="#matplotlib.transforms.Affine2D.translate" title="matplotlib.transforms.Affine2D.translate"><code class="xref py py-meth docutils literal notranslate"><span class="pre">translate()</span></code></a>
and <a class="reference internal" href="#matplotlib.transforms.Affine2D.scale" title="matplotlib.transforms.Affine2D.scale"><code class="xref py py-meth docutils literal notranslate"><span class="pre">scale()</span></code></a>.</p>
</dd></dl>
<dl class="py method">
<dt id="matplotlib.transforms.Affine2D.set">
<code class="descname">set</code><span class="sig-paren">(</span><em><span class="n">self</span></em>, <em><span class="n">other</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/transforms.html#Affine2D.set"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.transforms.Affine2D.set" title="Permalink to this definition">¶</a></dt>
<dd><p>Set this transformation from the frozen copy of another
<a class="reference internal" href="#matplotlib.transforms.Affine2DBase" title="matplotlib.transforms.Affine2DBase"><code class="xref py py-class docutils literal notranslate"><span class="pre">Affine2DBase</span></code></a> object.</p>
</dd></dl>
<dl class="py method">
<dt id="matplotlib.transforms.Affine2D.set_matrix">
<code class="descname">set_matrix</code><span class="sig-paren">(</span><em><span class="n">self</span></em>, <em><span class="n">mtx</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/transforms.html#Affine2D.set_matrix"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.transforms.Affine2D.set_matrix" title="Permalink to this definition">¶</a></dt>
<dd><p>Set the underlying transformation matrix from a 3x3 numpy array:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">a</span> <span class="n">c</span> <span class="n">e</span>
<span class="n">b</span> <span class="n">d</span> <span class="n">f</span>
<span class="mi">0</span> <span class="mi">0</span> <span class="mi">1</span>
</pre></div>
</div>
<p>.</p>
</dd></dl>
<dl class="py method">
<dt id="matplotlib.transforms.Affine2D.skew">
<code class="descname">skew</code><span class="sig-paren">(</span><em><span class="n">self</span></em>, <em><span class="n">xShear</span></em>, <em><span class="n">yShear</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/transforms.html#Affine2D.skew"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.transforms.Affine2D.skew" title="Permalink to this definition">¶</a></dt>
<dd><p>Adds a skew in place.</p>
<p><em>xShear</em> and <em>yShear</em> are the shear angles along the <em>x</em>- and
<em>y</em>-axes, respectively, in radians.</p>
<p>Returns <em>self</em>, so this method can easily be chained with more
calls to <a class="reference internal" href="#matplotlib.transforms.Affine2D.rotate" title="matplotlib.transforms.Affine2D.rotate"><code class="xref py py-meth docutils literal notranslate"><span class="pre">rotate()</span></code></a>, <a class="reference internal" href="#matplotlib.transforms.Affine2D.rotate_deg" title="matplotlib.transforms.Affine2D.rotate_deg"><code class="xref py py-meth docutils literal notranslate"><span class="pre">rotate_deg()</span></code></a>, <a class="reference internal" href="#matplotlib.transforms.Affine2D.translate" title="matplotlib.transforms.Affine2D.translate"><code class="xref py py-meth docutils literal notranslate"><span class="pre">translate()</span></code></a>
and <a class="reference internal" href="#matplotlib.transforms.Affine2D.scale" title="matplotlib.transforms.Affine2D.scale"><code class="xref py py-meth docutils literal notranslate"><span class="pre">scale()</span></code></a>.</p>
</dd></dl>
<dl class="py method">
<dt id="matplotlib.transforms.Affine2D.skew_deg">
<code class="descname">skew_deg</code><span class="sig-paren">(</span><em><span class="n">self</span></em>, <em><span class="n">xShear</span></em>, <em><span class="n">yShear</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/transforms.html#Affine2D.skew_deg"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.transforms.Affine2D.skew_deg" title="Permalink to this definition">¶</a></dt>
<dd><p>Adds a skew in place.</p>
<p><em>xShear</em> and <em>yShear</em> are the shear angles along the <em>x</em>- and
<em>y</em>-axes, respectively, in degrees.</p>
<p>Returns <em>self</em>, so this method can easily be chained with more
calls to <a class="reference internal" href="#matplotlib.transforms.Affine2D.rotate" title="matplotlib.transforms.Affine2D.rotate"><code class="xref py py-meth docutils literal notranslate"><span class="pre">rotate()</span></code></a>, <a class="reference internal" href="#matplotlib.transforms.Affine2D.rotate_deg" title="matplotlib.transforms.Affine2D.rotate_deg"><code class="xref py py-meth docutils literal notranslate"><span class="pre">rotate_deg()</span></code></a>, <a class="reference internal" href="#matplotlib.transforms.Affine2D.translate" title="matplotlib.transforms.Affine2D.translate"><code class="xref py py-meth docutils literal notranslate"><span class="pre">translate()</span></code></a>
and <a class="reference internal" href="#matplotlib.transforms.Affine2D.scale" title="matplotlib.transforms.Affine2D.scale"><code class="xref py py-meth docutils literal notranslate"><span class="pre">scale()</span></code></a>.</p>
</dd></dl>
<dl class="py method">
<dt id="matplotlib.transforms.Affine2D.translate">
<code class="descname">translate</code><span class="sig-paren">(</span><em><span class="n">self</span></em>, <em><span class="n">tx</span></em>, <em><span class="n">ty</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/transforms.html#Affine2D.translate"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.transforms.Affine2D.translate" title="Permalink to this definition">¶</a></dt>
<dd><p>Adds a translation in place.</p>
<p>Returns <em>self</em>, so this method can easily be chained with more
calls to <a class="reference internal" href="#matplotlib.transforms.Affine2D.rotate" title="matplotlib.transforms.Affine2D.rotate"><code class="xref py py-meth docutils literal notranslate"><span class="pre">rotate()</span></code></a>, <a class="reference internal" href="#matplotlib.transforms.Affine2D.rotate_deg" title="matplotlib.transforms.Affine2D.rotate_deg"><code class="xref py py-meth docutils literal notranslate"><span class="pre">rotate_deg()</span></code></a>, <a class="reference internal" href="#matplotlib.transforms.Affine2D.translate" title="matplotlib.transforms.Affine2D.translate"><code class="xref py py-meth docutils literal notranslate"><span class="pre">translate()</span></code></a>
and <a class="reference internal" href="#matplotlib.transforms.Affine2D.scale" title="matplotlib.transforms.Affine2D.scale"><code class="xref py py-meth docutils literal notranslate"><span class="pre">scale()</span></code></a>.</p>
</dd></dl>
</dd></dl>
<dl class="py class">
<dt id="matplotlib.transforms.Affine2DBase">
<em class="property">class </em><code class="descclassname">matplotlib.transforms.</code><code class="descname">Affine2DBase</code><span class="sig-paren">(</span><em><span class="o">*</span><span class="n">args</span></em>, <em><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/transforms.html#Affine2DBase"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.transforms.Affine2DBase" title="Permalink to this definition">¶</a></dt>
<dd><p>Bases: <a class="reference internal" href="#matplotlib.transforms.AffineBase" title="matplotlib.transforms.AffineBase"><code class="xref py py-class docutils literal notranslate"><span class="pre">matplotlib.transforms.AffineBase</span></code></a></p>
<p>The base class of all 2D affine transformations.</p>
<p>2D affine transformations are performed using a 3x3 numpy array:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">a</span> <span class="n">c</span> <span class="n">e</span>
<span class="n">b</span> <span class="n">d</span> <span class="n">f</span>
<span class="mi">0</span> <span class="mi">0</span> <span class="mi">1</span>
</pre></div>
</div>
<p>This class provides the read-only interface. For a mutable 2D
affine transformation, use <a class="reference internal" href="#matplotlib.transforms.Affine2D" title="matplotlib.transforms.Affine2D"><code class="xref py py-class docutils literal notranslate"><span class="pre">Affine2D</span></code></a>.</p>
<p>Subclasses of this class will generally only need to override a
constructor and <code class="xref py py-meth docutils literal notranslate"><span class="pre">get_matrix()</span></code> that generates a custom 3x3 matrix.</p>
<p>Creates a new <a class="reference internal" href="#matplotlib.transforms.TransformNode" title="matplotlib.transforms.TransformNode"><code class="xref py py-class docutils literal notranslate"><span class="pre">TransformNode</span></code></a>.</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><dl class="first last docutils">
<dt><strong>shorthand_name</strong><span class="classifier">str</span></dt><dd><p>A string representing the "name" of the transform. The name carries
no significance other than to improve the readability of
<code class="docutils literal notranslate"><span class="pre">str(transform)</span></code> when DEBUG=True.</p>
</dd>
</dl>
</td>
</tr>
</tbody>
</table>
<dl class="py method">
<dt id="matplotlib.transforms.Affine2DBase.frozen">
<code class="descname">frozen</code><span class="sig-paren">(</span><em><span class="n">self</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/transforms.html#Affine2DBase.frozen"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.transforms.Affine2DBase.frozen" title="Permalink to this definition">¶</a></dt>
<dd><p>Returns a frozen copy of this transform node. The frozen copy
will not update when its children change. Useful for storing
a previously known state of a transform where
<code class="docutils literal notranslate"><span class="pre">copy.deepcopy()</span></code> might normally be used.</p>
</dd></dl>
<dl class="py attribute">
<dt id="matplotlib.transforms.Affine2DBase.has_inverse">
<code class="descname">has_inverse</code><em class="property"> = True</em><a class="headerlink" href="#matplotlib.transforms.Affine2DBase.has_inverse" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py attribute">
<dt id="matplotlib.transforms.Affine2DBase.input_dims">
<code class="descname">input_dims</code><em class="property"> = 2</em><a class="headerlink" href="#matplotlib.transforms.Affine2DBase.input_dims" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="matplotlib.transforms.Affine2DBase.inverted">
<code class="descname">inverted</code><span class="sig-paren">(</span><em><span class="n">self</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/transforms.html#Affine2DBase.inverted"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.transforms.Affine2DBase.inverted" title="Permalink to this definition">¶</a></dt>
<dd><p>Return the corresponding inverse transformation.</p>
<p>It holds <code class="docutils literal notranslate"><span class="pre">x</span> <span class="pre">==</span> <span class="pre">self.inverted().transform(self.transform(x))</span></code>.</p>
<p>The return value of this method should be treated as
temporary. An update to <em>self</em> does not cause a corresponding
update to its inverted copy.</p>
</dd></dl>
<dl class="py method">
<dt id="matplotlib.transforms.Affine2DBase.is_separable">
<em class="property">property </em><code class="descname">is_separable</code><a class="headerlink" href="#matplotlib.transforms.Affine2DBase.is_separable" title="Permalink to this definition">¶</a></dt>
<dd><p>bool(x) -> bool</p>
<p>Returns True when the argument x is true, False otherwise.
The builtins True and False are the only two instances of the class bool.
The class bool is a subclass of the class int, and cannot be subclassed.</p>
</dd></dl>
<dl class="py method">
<dt id="matplotlib.transforms.Affine2DBase.matrix_from_values">
<em class="property">static </em><code class="descname">matrix_from_values</code><span class="sig-paren">(</span><em><span class="n">a</span></em>, <em><span class="n">b</span></em>, <em><span class="n">c</span></em>, <em><span class="n">d</span></em>, <em><span class="n">e</span></em>, <em><span class="n">f</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/transforms.html#Affine2DBase.matrix_from_values"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.transforms.Affine2DBase.matrix_from_values" title="Permalink to this definition">¶</a></dt>
<dd><p>[<em>Deprecated</em>] Create a new transformation matrix as a 3x3 numpy array of the form:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">a</span> <span class="n">c</span> <span class="n">e</span>
<span class="n">b</span> <span class="n">d</span> <span class="n">f</span>
<span class="mi">0</span> <span class="mi">0</span> <span class="mi">1</span>
</pre></div>
</div>
<p class="rubric">Notes</p>
<div class="deprecated">
<p><span class="versionmodified deprecated">Deprecated since version 3.2.</span></p>
</div>
</dd></dl>
<dl class="py attribute">
<dt id="matplotlib.transforms.Affine2DBase.output_dims">
<code class="descname">output_dims</code><em class="property"> = 2</em><a class="headerlink" href="#matplotlib.transforms.Affine2DBase.output_dims" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="matplotlib.transforms.Affine2DBase.to_values">
<code class="descname">to_values</code><span class="sig-paren">(</span><em><span class="n">self</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/transforms.html#Affine2DBase.to_values"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.transforms.Affine2DBase.to_values" title="Permalink to this definition">¶</a></dt>
<dd><p>Return the values of the matrix as an <code class="docutils literal notranslate"><span class="pre">(a,</span> <span class="pre">b,</span> <span class="pre">c,</span> <span class="pre">d,</span> <span class="pre">e,</span> <span class="pre">f)</span></code> tuple.</p>
</dd></dl>
<dl class="py method">
<dt id="matplotlib.transforms.Affine2DBase.transform_affine">
<code class="descname">transform_affine</code><span class="sig-paren">(</span><em><span class="n">self</span></em>, <em><span class="n">points</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/transforms.html#Affine2DBase.transform_affine"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.transforms.Affine2DBase.transform_affine" title="Permalink to this definition">¶</a></dt>
<dd><p>Performs only the affine part of this transformation on the
given array of values.</p>
<p><code class="docutils literal notranslate"><span class="pre">transform(values)</span></code> is always equivalent to
<code class="docutils literal notranslate"><span class="pre">transform_affine(transform_non_affine(values))</span></code>.</p>
<p>In non-affine transformations, this is generally a no-op. In
affine transformations, this is equivalent to
<code class="docutils literal notranslate"><span class="pre">transform(values)</span></code>.</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><dl class="first docutils">
<dt><strong>values</strong><span class="classifier">array</span></dt><dd><p>The input values as NumPy array of length <a class="reference internal" href="#matplotlib.transforms.Affine2DBase.input_dims" title="matplotlib.transforms.Affine2DBase.input_dims"><code class="xref py py-attr docutils literal notranslate"><span class="pre">input_dims</span></code></a> or
shape (N x <a class="reference internal" href="#matplotlib.transforms.Affine2DBase.input_dims" title="matplotlib.transforms.Affine2DBase.input_dims"><code class="xref py py-attr docutils literal notranslate"><span class="pre">input_dims</span></code></a>).</p>
</dd>
</dl>
</td>
</tr>
<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><dl class="first last docutils">
<dt><strong>values</strong><span class="classifier">array</span></dt><dd><p>The output values as NumPy array of length <a class="reference internal" href="#matplotlib.transforms.Affine2DBase.input_dims" title="matplotlib.transforms.Affine2DBase.input_dims"><code class="xref py py-attr docutils literal notranslate"><span class="pre">input_dims</span></code></a> or
shape (N x <a class="reference internal" href="#matplotlib.transforms.Affine2DBase.output_dims" title="matplotlib.transforms.Affine2DBase.output_dims"><code class="xref py py-attr docutils literal notranslate"><span class="pre">output_dims</span></code></a>), depending on the input.</p>
</dd>
</dl>
</td>
</tr>
</tbody>
</table>
</dd></dl>
</dd></dl>
<dl class="py class">
<dt id="matplotlib.transforms.AffineBase">
<em class="property">class </em><code class="descclassname">matplotlib.transforms.</code><code class="descname">AffineBase</code><span class="sig-paren">(</span><em><span class="o">*</span><span class="n">args</span></em>, <em><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/transforms.html#AffineBase"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.transforms.AffineBase" title="Permalink to this definition">¶</a></dt>
<dd><p>Bases: <a class="reference internal" href="#matplotlib.transforms.Transform" title="matplotlib.transforms.Transform"><code class="xref py py-class docutils literal notranslate"><span class="pre">matplotlib.transforms.Transform</span></code></a></p>
<p>The base class of all affine transformations of any number of
dimensions.</p>
<p>Creates a new <a class="reference internal" href="#matplotlib.transforms.TransformNode" title="matplotlib.transforms.TransformNode"><code class="xref py py-class docutils literal notranslate"><span class="pre">TransformNode</span></code></a>.</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><dl class="first last docutils">
<dt><strong>shorthand_name</strong><span class="classifier">str</span></dt><dd><p>A string representing the "name" of the transform. The name carries
no significance other than to improve the readability of
<code class="docutils literal notranslate"><span class="pre">str(transform)</span></code> when DEBUG=True.</p>
</dd>
</dl>
</td>
</tr>
</tbody>
</table>
<dl class="py method">
<dt id="matplotlib.transforms.AffineBase.get_affine">
<code class="descname">get_affine</code><span class="sig-paren">(</span><em><span class="n">self</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/transforms.html#AffineBase.get_affine"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.transforms.AffineBase.get_affine" title="Permalink to this definition">¶</a></dt>
<dd><p>Get the affine part of this transform.</p>
</dd></dl>
<dl class="py attribute">
<dt id="matplotlib.transforms.AffineBase.is_affine">
<code class="descname">is_affine</code><em class="property"> = True</em><a class="headerlink" href="#matplotlib.transforms.AffineBase.is_affine" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="matplotlib.transforms.AffineBase.transform">
<code class="descname">transform</code><span class="sig-paren">(</span><em><span class="n">self</span></em>, <em><span class="n">values</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/transforms.html#AffineBase.transform"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.transforms.AffineBase.transform" title="Permalink to this definition">¶</a></dt>
<dd><p>Performs the transformation on the given array of values.</p>
<p>Accepts a numpy array of shape (N x <code class="xref py py-attr docutils literal notranslate"><span class="pre">input_dims</span></code>) and
returns a numpy array of shape (N x <code class="xref py py-attr docutils literal notranslate"><span class="pre">output_dims</span></code>).</p>
<p>Alternatively, accepts a numpy array of length <code class="xref py py-attr docutils literal notranslate"><span class="pre">input_dims</span></code>
and returns a numpy array of length <code class="xref py py-attr docutils literal notranslate"><span class="pre">output_dims</span></code>.</p>
</dd></dl>
<dl class="py method">
<dt id="matplotlib.transforms.AffineBase.transform_affine">
<code class="descname">transform_affine</code><span class="sig-paren">(</span><em><span class="n">self</span></em>, <em><span class="n">values</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/transforms.html#AffineBase.transform_affine"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.transforms.AffineBase.transform_affine" title="Permalink to this definition">¶</a></dt>
<dd><p>Performs only the affine part of this transformation on the
given array of values.</p>
<p><code class="docutils literal notranslate"><span class="pre">transform(values)</span></code> is always equivalent to
<code class="docutils literal notranslate"><span class="pre">transform_affine(transform_non_affine(values))</span></code>.</p>
<p>In non-affine transformations, this is generally a no-op. In
affine transformations, this is equivalent to
<code class="docutils literal notranslate"><span class="pre">transform(values)</span></code>.</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><dl class="first docutils">
<dt><strong>values</strong><span class="classifier">array</span></dt><dd><p>The input values as NumPy array of length <code class="xref py py-attr docutils literal notranslate"><span class="pre">input_dims</span></code> or
shape (N x <code class="xref py py-attr docutils literal notranslate"><span class="pre">input_dims</span></code>).</p>
</dd>
</dl>
</td>
</tr>
<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><dl class="first last docutils">
<dt><strong>values</strong><span class="classifier">array</span></dt><dd><p>The output values as NumPy array of length <code class="xref py py-attr docutils literal notranslate"><span class="pre">input_dims</span></code> or
shape (N x <code class="xref py py-attr docutils literal notranslate"><span class="pre">output_dims</span></code>), depending on the input.</p>
</dd>
</dl>
</td>
</tr>
</tbody>
</table>
</dd></dl>
<dl class="py method">
<dt id="matplotlib.transforms.AffineBase.transform_non_affine">
<code class="descname">transform_non_affine</code><span class="sig-paren">(</span><em><span class="n">self</span></em>, <em><span class="n">points</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/transforms.html#AffineBase.transform_non_affine"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.transforms.AffineBase.transform_non_affine" title="Permalink to this definition">¶</a></dt>
<dd><p>Performs only the non-affine part of the transformation.</p>
<p><code class="docutils literal notranslate"><span class="pre">transform(values)</span></code> is always equivalent to
<code class="docutils literal notranslate"><span class="pre">transform_affine(transform_non_affine(values))</span></code>.</p>
<p>In non-affine transformations, this is generally equivalent to
<code class="docutils literal notranslate"><span class="pre">transform(values)</span></code>. In affine transformations, this is
always a no-op.</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><dl class="first docutils">
<dt><strong>values</strong><span class="classifier">array</span></dt><dd><p>The input values as NumPy array of length <code class="xref py py-attr docutils literal notranslate"><span class="pre">input_dims</span></code> or
shape (N x <code class="xref py py-attr docutils literal notranslate"><span class="pre">input_dims</span></code>).</p>
</dd>
</dl>
</td>
</tr>
<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><dl class="first last docutils">
<dt><strong>values</strong><span class="classifier">array</span></dt><dd><p>The output values as NumPy array of length <code class="xref py py-attr docutils literal notranslate"><span class="pre">input_dims</span></code> or
shape (N x <code class="xref py py-attr docutils literal notranslate"><span class="pre">output_dims</span></code>), depending on the input.</p>
</dd>
</dl>
</td>
</tr>
</tbody>
</table>
</dd></dl>
<dl class="py method">
<dt id="matplotlib.transforms.AffineBase.transform_path">
<code class="descname">transform_path</code><span class="sig-paren">(</span><em><span class="n">self</span></em>, <em><span class="n">path</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/transforms.html#AffineBase.transform_path"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.transforms.AffineBase.transform_path" title="Permalink to this definition">¶</a></dt>
<dd><p>Returns a transformed path.</p>
<p><em>path</em>: a <a class="reference internal" href="path_api.html#matplotlib.path.Path" title="matplotlib.path.Path"><code class="xref py py-class docutils literal notranslate"><span class="pre">Path</span></code></a> instance.</p>
<p>In some cases, this transform may insert curves into the path
that began as line segments.</p>
</dd></dl>
<dl class="py method">
<dt id="matplotlib.transforms.AffineBase.transform_path_affine">
<code class="descname">transform_path_affine</code><span class="sig-paren">(</span><em><span class="n">self</span></em>, <em><span class="n">path</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/transforms.html#AffineBase.transform_path_affine"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.transforms.AffineBase.transform_path_affine" title="Permalink to this definition">¶</a></dt>
<dd><p>Returns a path, transformed only by the affine part of
this transform.</p>
<p><em>path</em>: a <a class="reference internal" href="path_api.html#matplotlib.path.Path" title="matplotlib.path.Path"><code class="xref py py-class docutils literal notranslate"><span class="pre">Path</span></code></a> instance.</p>
<p><code class="docutils literal notranslate"><span class="pre">transform_path(path)</span></code> is equivalent to
<code class="docutils literal notranslate"><span class="pre">transform_path_affine(transform_path_non_affine(values))</span></code>.</p>
</dd></dl>
<dl class="py method">
<dt id="matplotlib.transforms.AffineBase.transform_path_non_affine">
<code class="descname">transform_path_non_affine</code><span class="sig-paren">(</span><em><span class="n">self</span></em>, <em><span class="n">path</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/transforms.html#AffineBase.transform_path_non_affine"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.transforms.AffineBase.transform_path_non_affine" title="Permalink to this definition">¶</a></dt>
<dd><p>Returns a path, transformed only by the non-affine
part of this transform.</p>
<p><em>path</em>: a <a class="reference internal" href="path_api.html#matplotlib.path.Path" title="matplotlib.path.Path"><code class="xref py py-class docutils literal notranslate"><span class="pre">Path</span></code></a> instance.</p>
<p><code class="docutils literal notranslate"><span class="pre">transform_path(path)</span></code> is equivalent to
<code class="docutils literal notranslate"><span class="pre">transform_path_affine(transform_path_non_affine(values))</span></code>.</p>
</dd></dl>
</dd></dl>
<dl class="py class">
<dt id="matplotlib.transforms.Bbox">
<em class="property">class </em><code class="descclassname">matplotlib.transforms.</code><code class="descname">Bbox</code><span class="sig-paren">(</span><em><span class="n">points</span></em>, <em><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/transforms.html#Bbox"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.transforms.Bbox" title="Permalink to this definition">¶</a></dt>
<dd><p>Bases: <a class="reference internal" href="#matplotlib.transforms.BboxBase" title="matplotlib.transforms.BboxBase"><code class="xref py py-class docutils literal notranslate"><span class="pre">matplotlib.transforms.BboxBase</span></code></a></p>
<p>A mutable bounding box.</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><dl class="first last docutils">
<dt><strong>points</strong><span class="classifier">ndarray</span></dt><dd><p>A 2x2 numpy array of the form <code class="docutils literal notranslate"><span class="pre">[[x0,</span> <span class="pre">y0],</span> <span class="pre">[x1,</span> <span class="pre">y1]]</span></code>.</p>
</dd>
</dl>
</td>
</tr>
</tbody>
</table>
<p class="rubric">Notes</p>
<p>If you need to create a <a class="reference internal" href="#matplotlib.transforms.Bbox" title="matplotlib.transforms.Bbox"><code class="xref py py-class docutils literal notranslate"><span class="pre">Bbox</span></code></a> object from another form
of data, consider the static methods <a class="reference internal" href="#matplotlib.transforms.Bbox.unit" title="matplotlib.transforms.Bbox.unit"><code class="xref py py-meth docutils literal notranslate"><span class="pre">unit()</span></code></a>,
<a class="reference internal" href="#matplotlib.transforms.Bbox.from_bounds" title="matplotlib.transforms.Bbox.from_bounds"><code class="xref py py-meth docutils literal notranslate"><span class="pre">from_bounds()</span></code></a> and <a class="reference internal" href="#matplotlib.transforms.Bbox.from_extents" title="matplotlib.transforms.Bbox.from_extents"><code class="xref py py-meth docutils literal notranslate"><span class="pre">from_extents()</span></code></a>.</p>
<dl class="py method">
<dt id="matplotlib.transforms.Bbox.bounds">
<em class="property">property </em><code class="descname">bounds</code><a class="headerlink" href="#matplotlib.transforms.Bbox.bounds" title="Permalink to this definition">¶</a></dt>
<dd><p>Return (<a class="reference internal" href="#matplotlib.transforms.Bbox.x0" title="matplotlib.transforms.Bbox.x0"><code class="xref py py-attr docutils literal notranslate"><span class="pre">x0</span></code></a>, <a class="reference internal" href="#matplotlib.transforms.Bbox.y0" title="matplotlib.transforms.Bbox.y0"><code class="xref py py-attr docutils literal notranslate"><span class="pre">y0</span></code></a>, <code class="xref py py-attr docutils literal notranslate"><span class="pre">width</span></code>, <code class="xref py py-attr docutils literal notranslate"><span class="pre">height</span></code>).</p>
</dd></dl>
<dl class="py method">
<dt id="matplotlib.transforms.Bbox.from_bounds">
<em class="property">static </em><code class="descname">from_bounds</code><span class="sig-paren">(</span><em><span class="n">x0</span></em>, <em><span class="n">y0</span></em>, <em><span class="n">width</span></em>, <em><span class="n">height</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/transforms.html#Bbox.from_bounds"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.transforms.Bbox.from_bounds" title="Permalink to this definition">¶</a></dt>
<dd><p>Create a new <a class="reference internal" href="#matplotlib.transforms.Bbox" title="matplotlib.transforms.Bbox"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Bbox</span></code></a> from <em>x0</em>, <em>y0</em>, <em>width</em> and <em>height</em>.</p>
<p><em>width</em> and <em>height</em> may be negative.</p>
</dd></dl>
<dl class="py method">
<dt id="matplotlib.transforms.Bbox.from_extents">
<em class="property">static </em><code class="descname">from_extents</code><span class="sig-paren">(</span><em><span class="o">*</span><span class="n">args</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/transforms.html#Bbox.from_extents"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.transforms.Bbox.from_extents" title="Permalink to this definition">¶</a></dt>
<dd><p>Create a new Bbox from <em>left</em>, <em>bottom</em>, <em>right</em> and <em>top</em>.</p>
<p>The <em>y</em>-axis increases upwards.</p>
</dd></dl>
<dl class="py method">
<dt id="matplotlib.transforms.Bbox.get_points">
<code class="descname">get_points</code><span class="sig-paren">(</span><em><span class="n">self</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/transforms.html#Bbox.get_points"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.transforms.Bbox.get_points" title="Permalink to this definition">¶</a></dt>
<dd><p>Get the points of the bounding box directly as a numpy array
of the form: <code class="docutils literal notranslate"><span class="pre">[[x0,</span> <span class="pre">y0],</span> <span class="pre">[x1,</span> <span class="pre">y1]]</span></code>.</p>
</dd></dl>
<dl class="py method">
<dt id="matplotlib.transforms.Bbox.ignore">
<code class="descname">ignore</code><span class="sig-paren">(</span><em><span class="n">self</span></em>, <em><span class="n">value</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/transforms.html#Bbox.ignore"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.transforms.Bbox.ignore" title="Permalink to this definition">¶</a></dt>
<dd><p>Set whether the existing bounds of the box should be ignored
by subsequent calls to <a class="reference internal" href="#matplotlib.transforms.Bbox.update_from_data_xy" title="matplotlib.transforms.Bbox.update_from_data_xy"><code class="xref py py-meth docutils literal notranslate"><span class="pre">update_from_data_xy()</span></code></a>.</p>
<dl class="docutils">
<dt>value<span class="classifier">bool</span></dt><dd><ul class="simple">
<li>When <code class="docutils literal notranslate"><span class="pre">True</span></code>, subsequent calls to <a class="reference internal" href="#matplotlib.transforms.Bbox.update_from_data_xy" title="matplotlib.transforms.Bbox.update_from_data_xy"><code class="xref py py-meth docutils literal notranslate"><span class="pre">update_from_data_xy()</span></code></a>
will ignore the existing bounds of the <a class="reference internal" href="#matplotlib.transforms.Bbox" title="matplotlib.transforms.Bbox"><code class="xref py py-class docutils literal notranslate"><span class="pre">Bbox</span></code></a>.</li>
<li>When <code class="docutils literal notranslate"><span class="pre">False</span></code>, subsequent calls to <a class="reference internal" href="#matplotlib.transforms.Bbox.update_from_data_xy" title="matplotlib.transforms.Bbox.update_from_data_xy"><code class="xref py py-meth docutils literal notranslate"><span class="pre">update_from_data_xy()</span></code></a>
will include the existing bounds of the <a class="reference internal" href="#matplotlib.transforms.Bbox" title="matplotlib.transforms.Bbox"><code class="xref py py-class docutils literal notranslate"><span class="pre">Bbox</span></code></a>.</li>
</ul>
</dd>
</dl>
</dd></dl>
<dl class="py method">
<dt id="matplotlib.transforms.Bbox.intervalx">
<em class="property">property </em><code class="descname">intervalx</code><a class="headerlink" href="#matplotlib.transforms.Bbox.intervalx" title="Permalink to this definition">¶</a></dt>
<dd><p>The pair of <em>x</em> coordinates that define the bounding box.</p>
<p>This is not guaranteed to be sorted from left to right.</p>
</dd></dl>
<dl class="py method">
<dt id="matplotlib.transforms.Bbox.intervaly">
<em class="property">property </em><code class="descname">intervaly</code><a class="headerlink" href="#matplotlib.transforms.Bbox.intervaly" title="Permalink to this definition">¶</a></dt>
<dd><p>The pair of <em>y</em> coordinates that define the bounding box.</p>
<p>This is not guaranteed to be sorted from bottom to top.</p>
</dd></dl>
<dl class="py method">
<dt id="matplotlib.transforms.Bbox.minpos">
<em class="property">property </em><code class="descname">minpos</code><a class="headerlink" href="#matplotlib.transforms.Bbox.minpos" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="matplotlib.transforms.Bbox.minposx">
<em class="property">property </em><code class="descname">minposx</code><a class="headerlink" href="#matplotlib.transforms.Bbox.minposx" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="matplotlib.transforms.Bbox.minposy">
<em class="property">property </em><code class="descname">minposy</code><a class="headerlink" href="#matplotlib.transforms.Bbox.minposy" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="matplotlib.transforms.Bbox.mutated">
<code class="descname">mutated</code><span class="sig-paren">(</span><em><span class="n">self</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/transforms.html#Bbox.mutated"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.transforms.Bbox.mutated" title="Permalink to this definition">¶</a></dt>
<dd><p>Return whether the bbox has changed since init.</p>
</dd></dl>
<dl class="py method">
<dt id="matplotlib.transforms.Bbox.mutatedx">
<code class="descname">mutatedx</code><span class="sig-paren">(</span><em><span class="n">self</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/transforms.html#Bbox.mutatedx"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.transforms.Bbox.mutatedx" title="Permalink to this definition">¶</a></dt>
<dd><p>Return whether the x-limits have changed since init.</p>
</dd></dl>
<dl class="py method">
<dt id="matplotlib.transforms.Bbox.mutatedy">
<code class="descname">mutatedy</code><span class="sig-paren">(</span><em><span class="n">self</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/transforms.html#Bbox.mutatedy"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.transforms.Bbox.mutatedy" title="Permalink to this definition">¶</a></dt>
<dd><p>Return whether the y-limits have changed since init.</p>
</dd></dl>
<dl class="py method">
<dt id="matplotlib.transforms.Bbox.null">
<em class="property">static </em><code class="descname">null</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/transforms.html#Bbox.null"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.transforms.Bbox.null" title="Permalink to this definition">¶</a></dt>
<dd><p>Create a new null <a class="reference internal" href="#matplotlib.transforms.Bbox" title="matplotlib.transforms.Bbox"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Bbox</span></code></a> from (inf, inf) to (-inf, -inf).</p>
</dd></dl>
<dl class="py method">
<dt id="matplotlib.transforms.Bbox.p0">
<em class="property">property </em><code class="descname">p0</code><a class="headerlink" href="#matplotlib.transforms.Bbox.p0" title="Permalink to this definition">¶</a></dt>
<dd><p>The first pair of (<em>x</em>, <em>y</em>) coordinates that define the bounding box.</p>
<p>This is not guaranteed to be the bottom-left corner (for that, use
<code class="xref py py-attr docutils literal notranslate"><span class="pre">min</span></code>).</p>
</dd></dl>
<dl class="py method">
<dt id="matplotlib.transforms.Bbox.p1">
<em class="property">property </em><code class="descname">p1</code><a class="headerlink" href="#matplotlib.transforms.Bbox.p1" title="Permalink to this definition">¶</a></dt>
<dd><p>The second pair of (<em>x</em>, <em>y</em>) coordinates that define the bounding box.</p>
<p>This is not guaranteed to be the top-right corner (for that, use
<code class="xref py py-attr docutils literal notranslate"><span class="pre">max</span></code>).</p>
</dd></dl>
<dl class="py method">
<dt id="matplotlib.transforms.Bbox.set">
<code class="descname">set</code><span class="sig-paren">(</span><em><span class="n">self</span></em>, <em><span class="n">other</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/transforms.html#Bbox.set"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.transforms.Bbox.set" title="Permalink to this definition">¶</a></dt>
<dd><p>Set this bounding box from the "frozen" bounds of another <a class="reference internal" href="#matplotlib.transforms.Bbox" title="matplotlib.transforms.Bbox"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Bbox</span></code></a>.</p>
</dd></dl>
<dl class="py method">
<dt id="matplotlib.transforms.Bbox.set_points">
<code class="descname">set_points</code><span class="sig-paren">(</span><em><span class="n">self</span></em>, <em><span class="n">points</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/transforms.html#Bbox.set_points"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.transforms.Bbox.set_points" title="Permalink to this definition">¶</a></dt>
<dd><p>Set the points of the bounding box directly from a numpy array
of the form: <code class="docutils literal notranslate"><span class="pre">[[x0,</span> <span class="pre">y0],</span> <span class="pre">[x1,</span> <span class="pre">y1]]</span></code>. No error checking is
performed, as this method is mainly for internal use.</p>
</dd></dl>
<dl class="py method">
<dt id="matplotlib.transforms.Bbox.unit">
<em class="property">static </em><code class="descname">unit</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/transforms.html#Bbox.unit"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.transforms.Bbox.unit" title="Permalink to this definition">¶</a></dt>
<dd><p>Create a new unit <a class="reference internal" href="#matplotlib.transforms.Bbox" title="matplotlib.transforms.Bbox"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Bbox</span></code></a> from (0, 0) to (1, 1).</p>
</dd></dl>
<dl class="py method">
<dt id="matplotlib.transforms.Bbox.update_from_data_xy">
<code class="descname">update_from_data_xy</code><span class="sig-paren">(</span><em><span class="n">self</span></em>, <em><span class="n">xy</span></em>, <em><span class="n">ignore</span><span class="o">=</span><span class="default_value">None</span></em>, <em><span class="n">updatex</span><span class="o">=</span><span class="default_value">True</span></em>, <em><span class="n">updatey</span><span class="o">=</span><span class="default_value">True</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/transforms.html#Bbox.update_from_data_xy"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.transforms.Bbox.update_from_data_xy" title="Permalink to this definition">¶</a></dt>
<dd><p>Update the bounds of the <a class="reference internal" href="#matplotlib.transforms.Bbox" title="matplotlib.transforms.Bbox"><code class="xref py py-class docutils literal notranslate"><span class="pre">Bbox</span></code></a> based on the passed in
data. After updating, the bounds will have positive <em>width</em>
and <em>height</em>; <em>x0</em> and <em>y0</em> will be the minimal values.</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><dl class="first last docutils">
<dt><strong>xy</strong><span class="classifier">ndarray</span></dt><dd><p>A numpy array of 2D points.</p>
</dd>
<dt><strong>ignore</strong><span class="classifier">bool, optional</span></dt><dd><ul class="simple">
<li>When <code class="docutils literal notranslate"><span class="pre">True</span></code>, ignore the existing bounds of the <a class="reference internal" href="#matplotlib.transforms.Bbox" title="matplotlib.transforms.Bbox"><code class="xref py py-class docutils literal notranslate"><span class="pre">Bbox</span></code></a>.</li>
<li>When <code class="docutils literal notranslate"><span class="pre">False</span></code>, include the existing bounds of the <a class="reference internal" href="#matplotlib.transforms.Bbox" title="matplotlib.transforms.Bbox"><code class="xref py py-class docutils literal notranslate"><span class="pre">Bbox</span></code></a>.</li>
<li>When <code class="docutils literal notranslate"><span class="pre">None</span></code>, use the last value passed to <a class="reference internal" href="#matplotlib.transforms.Bbox.ignore" title="matplotlib.transforms.Bbox.ignore"><code class="xref py py-meth docutils literal notranslate"><span class="pre">ignore()</span></code></a>.</li>
</ul>
</dd>
<dt><strong>updatex, updatey</strong><span class="classifier">bool, optional</span></dt><dd><p>When <code class="docutils literal notranslate"><span class="pre">True</span></code>, update the x/y values.</p>
</dd>
</dl>
</td>
</tr>
</tbody>
</table>
</dd></dl>
<dl class="py method">
<dt id="matplotlib.transforms.Bbox.update_from_path">
<code class="descname">update_from_path</code><span class="sig-paren">(</span><em><span class="n">self</span></em>, <em><span class="n">path</span></em>, <em><span class="n">ignore</span><span class="o">=</span><span class="default_value">None</span></em>, <em><span class="n">updatex</span><span class="o">=</span><span class="default_value">True</span></em>, <em><span class="n">updatey</span><span class="o">=</span><span class="default_value">True</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/transforms.html#Bbox.update_from_path"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.transforms.Bbox.update_from_path" title="Permalink to this definition">¶</a></dt>
<dd><p>Update the bounds of the <a class="reference internal" href="#matplotlib.transforms.Bbox" title="matplotlib.transforms.Bbox"><code class="xref py py-class docutils literal notranslate"><span class="pre">Bbox</span></code></a> based on the passed in
data. After updating, the bounds will have positive <em>width</em>
and <em>height</em>; <em>x0</em> and <em>y0</em> will be the minimal values.</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><dl class="first last docutils">
<dt><strong>path</strong><span class="classifier"><a class="reference internal" href="path_api.html#matplotlib.path.Path" title="matplotlib.path.Path"><code class="xref py py-class docutils literal notranslate"><span class="pre">Path</span></code></a></span></dt><dd></dd>
<dt><strong>ignore</strong><span class="classifier">bool, optional</span></dt><dd><ul class="simple">
<li>when <code class="docutils literal notranslate"><span class="pre">True</span></code>, ignore the existing bounds of the <a class="reference internal" href="#matplotlib.transforms.Bbox" title="matplotlib.transforms.Bbox"><code class="xref py py-class docutils literal notranslate"><span class="pre">Bbox</span></code></a>.</li>
<li>when <code class="docutils literal notranslate"><span class="pre">False</span></code>, include the existing bounds of the <a class="reference internal" href="#matplotlib.transforms.Bbox" title="matplotlib.transforms.Bbox"><code class="xref py py-class docutils literal notranslate"><span class="pre">Bbox</span></code></a>.</li>
<li>when <code class="docutils literal notranslate"><span class="pre">None</span></code>, use the last value passed to <a class="reference internal" href="#matplotlib.transforms.Bbox.ignore" title="matplotlib.transforms.Bbox.ignore"><code class="xref py py-meth docutils literal notranslate"><span class="pre">ignore()</span></code></a>.</li>
</ul>
</dd>
<dt><strong>updatex, updatey</strong><span class="classifier">bool, optional</span></dt><dd><p>When <code class="docutils literal notranslate"><span class="pre">True</span></code>, update the x/y values.</p>
</dd>
</dl>
</td>
</tr>
</tbody>
</table>
</dd></dl>
<dl class="py method">
<dt id="matplotlib.transforms.Bbox.x0">
<em class="property">property </em><code class="descname">x0</code><a class="headerlink" href="#matplotlib.transforms.Bbox.x0" title="Permalink to this definition">¶</a></dt>
<dd><p>The first of the pair of <em>x</em> coordinates that define the bounding box.</p>
<p>This is not guaranteed to be less than <a class="reference internal" href="#matplotlib.transforms.Bbox.x1" title="matplotlib.transforms.Bbox.x1"><code class="xref py py-attr docutils literal notranslate"><span class="pre">x1</span></code></a> (for that, use
<code class="xref py py-attr docutils literal notranslate"><span class="pre">xmin</span></code>).</p>
</dd></dl>
<dl class="py method">
<dt id="matplotlib.transforms.Bbox.x1">
<em class="property">property </em><code class="descname">x1</code><a class="headerlink" href="#matplotlib.transforms.Bbox.x1" title="Permalink to this definition">¶</a></dt>
<dd><p>The second of the pair of <em>x</em> coordinates that define the bounding box.</p>
<p>This is not guaranteed to be greater than <a class="reference internal" href="#matplotlib.transforms.Bbox.x0" title="matplotlib.transforms.Bbox.x0"><code class="xref py py-attr docutils literal notranslate"><span class="pre">x0</span></code></a> (for that, use
<code class="xref py py-attr docutils literal notranslate"><span class="pre">xmax</span></code>).</p>
</dd></dl>
<dl class="py method">
<dt id="matplotlib.transforms.Bbox.y0">
<em class="property">property </em><code class="descname">y0</code><a class="headerlink" href="#matplotlib.transforms.Bbox.y0" title="Permalink to this definition">¶</a></dt>
<dd><p>The first of the pair of <em>y</em> coordinates that define the bounding box.</p>
<p>This is not guaranteed to be less than <a class="reference internal" href="#matplotlib.transforms.Bbox.y1" title="matplotlib.transforms.Bbox.y1"><code class="xref py py-attr docutils literal notranslate"><span class="pre">y1</span></code></a> (for that, use
<code class="xref py py-attr docutils literal notranslate"><span class="pre">ymin</span></code>).</p>
</dd></dl>
<dl class="py method">
<dt id="matplotlib.transforms.Bbox.y1">
<em class="property">property </em><code class="descname">y1</code><a class="headerlink" href="#matplotlib.transforms.Bbox.y1" title="Permalink to this definition">¶</a></dt>
<dd><p>The second of the pair of <em>y</em> coordinates that define the bounding box.</p>
<p>This is not guaranteed to be greater than <a class="reference internal" href="#matplotlib.transforms.Bbox.y0" title="matplotlib.transforms.Bbox.y0"><code class="xref py py-attr docutils literal notranslate"><span class="pre">y0</span></code></a> (for that, use
<code class="xref py py-attr docutils literal notranslate"><span class="pre">ymax</span></code>).</p>
</dd></dl>
</dd></dl>
<dl class="py class">
<dt id="matplotlib.transforms.BboxBase">
<em class="property">class </em><code class="descclassname">matplotlib.transforms.</code><code class="descname">BboxBase</code><span class="sig-paren">(</span><em><span class="n">shorthand_name</span><span class="o">=</span><span class="default_value">None</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/transforms.html#BboxBase"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.transforms.BboxBase" title="Permalink to this definition">¶</a></dt>
<dd><p>Bases: <a class="reference internal" href="#matplotlib.transforms.TransformNode" title="matplotlib.transforms.TransformNode"><code class="xref py py-class docutils literal notranslate"><span class="pre">matplotlib.transforms.TransformNode</span></code></a></p>
<p>This is the base class of all bounding boxes, and provides read-only access
to its data. A mutable bounding box is provided by the <a class="reference internal" href="#matplotlib.transforms.Bbox" title="matplotlib.transforms.Bbox"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Bbox</span></code></a> class.</p>
<p>The canonical representation is as two points, with no
restrictions on their ordering. Convenience properties are
provided to get the left, bottom, right and top edges and width
and height, but these are not stored explicitly.</p>
<p>Creates a new <a class="reference internal" href="#matplotlib.transforms.TransformNode" title="matplotlib.transforms.TransformNode"><code class="xref py py-class docutils literal notranslate"><span class="pre">TransformNode</span></code></a>.</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><dl class="first last docutils">
<dt><strong>shorthand_name</strong><span class="classifier">str</span></dt><dd><p>A string representing the "name" of the transform. The name carries
no significance other than to improve the readability of
<code class="docutils literal notranslate"><span class="pre">str(transform)</span></code> when DEBUG=True.</p>
</dd>
</dl>
</td>
</tr>
</tbody>
</table>
<dl class="py method">
<dt id="matplotlib.transforms.BboxBase.anchored">
<code class="descname">anchored</code><span class="sig-paren">(</span><em><span class="n">self</span></em>, <em><span class="n">c</span></em>, <em><span class="n">container</span><span class="o">=</span><span class="default_value">None</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/transforms.html#BboxBase.anchored"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.transforms.BboxBase.anchored" title="Permalink to this definition">¶</a></dt>
<dd><p>Return a copy of the <a class="reference internal" href="#matplotlib.transforms.Bbox" title="matplotlib.transforms.Bbox"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Bbox</span></code></a> shifted to position <em>c</em> within <em>container</em>.</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><dl class="first last docutils">
<dt><strong>c</strong><span class="classifier">(float, float) or str</span></dt><dd><p>May be either:</p>
<ul class="simple">
<li>A sequence (<em>cx</em>, <em>cy</em>) where <em>cx</em> and <em>cy</em> range from 0
to 1, where 0 is left or bottom and 1 is right or top</li>
<li>a string:
- 'C' for centered
- 'S' for bottom-center
- 'SE' for bottom-left
- 'E' for left
- etc.</li>
</ul>
</dd>
<dt><strong>container</strong><span class="classifier">Bbox, optional</span></dt><dd><p>The box within which the <a class="reference internal" href="#matplotlib.transforms.Bbox" title="matplotlib.transforms.Bbox"><code class="xref py py-class docutils literal notranslate"><span class="pre">Bbox</span></code></a> is positioned; it defaults
to the initial <a class="reference internal" href="#matplotlib.transforms.Bbox" title="matplotlib.transforms.Bbox"><code class="xref py py-class docutils literal notranslate"><span class="pre">Bbox</span></code></a>.</p>
</dd>
</dl>
</td>
</tr>
</tbody>
</table>
</dd></dl>
<dl class="py method">
<dt id="matplotlib.transforms.BboxBase.bounds">
<em class="property">property </em><code class="descname">bounds</code><a class="headerlink" href="#matplotlib.transforms.BboxBase.bounds" title="Permalink to this definition">¶</a></dt>
<dd><p>Return (<a class="reference internal" href="#matplotlib.transforms.BboxBase.x0" title="matplotlib.transforms.BboxBase.x0"><code class="xref py py-attr docutils literal notranslate"><span class="pre">x0</span></code></a>, <a class="reference internal" href="#matplotlib.transforms.BboxBase.y0" title="matplotlib.transforms.BboxBase.y0"><code class="xref py py-attr docutils literal notranslate"><span class="pre">y0</span></code></a>, <a class="reference internal" href="#matplotlib.transforms.BboxBase.width" title="matplotlib.transforms.BboxBase.width"><code class="xref py py-attr docutils literal notranslate"><span class="pre">width</span></code></a>, <a class="reference internal" href="#matplotlib.transforms.BboxBase.height" title="matplotlib.transforms.BboxBase.height"><code class="xref py py-attr docutils literal notranslate"><span class="pre">height</span></code></a>).</p>
</dd></dl>
<dl class="py attribute">
<dt id="matplotlib.transforms.BboxBase.coefs">
<code class="descname">coefs</code><em class="property"> = {'C': (0.5, 0.5), 'E': (1.0, 0.5), 'N': (0.5, 1.0), 'NE': (1.0, 1.0), 'NW': (0, 1.0), 'S': (0.5, 0), 'SE': (1.0, 0), 'SW': (0, 0), 'W': (0, 0.5)}</em><a class="headerlink" href="#matplotlib.transforms.BboxBase.coefs" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="matplotlib.transforms.BboxBase.contains">
<code class="descname">contains</code><span class="sig-paren">(</span><em><span class="n">self</span></em>, <em><span class="n">x</span></em>, <em><span class="n">y</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/transforms.html#BboxBase.contains"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.transforms.BboxBase.contains" title="Permalink to this definition">¶</a></dt>
<dd><p>Return whether <code class="docutils literal notranslate"><span class="pre">(x,</span> <span class="pre">y)</span></code> is in the bounding box or on its edge.</p>
</dd></dl>
<dl class="py method">
<dt id="matplotlib.transforms.BboxBase.containsx">
<code class="descname">containsx</code><span class="sig-paren">(</span><em><span class="n">self</span></em>, <em><span class="n">x</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/transforms.html#BboxBase.containsx"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.transforms.BboxBase.containsx" title="Permalink to this definition">¶</a></dt>
<dd><p>Return whether <em>x</em> is in the closed (<a class="reference internal" href="#matplotlib.transforms.BboxBase.x0" title="matplotlib.transforms.BboxBase.x0"><code class="xref py py-attr docutils literal notranslate"><span class="pre">x0</span></code></a>, <a class="reference internal" href="#matplotlib.transforms.BboxBase.x1" title="matplotlib.transforms.BboxBase.x1"><code class="xref py py-attr docutils literal notranslate"><span class="pre">x1</span></code></a>) interval.</p>
</dd></dl>
<dl class="py method">
<dt id="matplotlib.transforms.BboxBase.containsy">
<code class="descname">containsy</code><span class="sig-paren">(</span><em><span class="n">self</span></em>, <em><span class="n">y</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/transforms.html#BboxBase.containsy"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.transforms.BboxBase.containsy" title="Permalink to this definition">¶</a></dt>
<dd><p>Return whether <em>y</em> is in the closed (<a class="reference internal" href="#matplotlib.transforms.BboxBase.y0" title="matplotlib.transforms.BboxBase.y0"><code class="xref py py-attr docutils literal notranslate"><span class="pre">y0</span></code></a>, <a class="reference internal" href="#matplotlib.transforms.BboxBase.y1" title="matplotlib.transforms.BboxBase.y1"><code class="xref py py-attr docutils literal notranslate"><span class="pre">y1</span></code></a>) interval.</p>
</dd></dl>
<dl class="py method">
<dt id="matplotlib.transforms.BboxBase.corners">
<code class="descname">corners</code><span class="sig-paren">(</span><em><span class="n">self</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/transforms.html#BboxBase.corners"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.transforms.BboxBase.corners" title="Permalink to this definition">¶</a></dt>
<dd><p>Return the corners of this rectangle as an array of points.</p>
<p>Specifically, this returns the array
<code class="docutils literal notranslate"><span class="pre">[[x0,</span> <span class="pre">y0],</span> <span class="pre">[x0,</span> <span class="pre">y1],</span> <span class="pre">[x1,</span> <span class="pre">y0],</span> <span class="pre">[x1,</span> <span class="pre">y1]]</span></code>.</p>
</dd></dl>
<dl class="py method">
<dt id="matplotlib.transforms.BboxBase.count_contains">
<code class="descname">count_contains</code><span class="sig-paren">(</span><em><span class="n">self</span></em>, <em><span class="n">vertices</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/transforms.html#BboxBase.count_contains"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.transforms.BboxBase.count_contains" title="Permalink to this definition">¶</a></dt>
<dd><p>Count the number of vertices contained in the <a class="reference internal" href="#matplotlib.transforms.Bbox" title="matplotlib.transforms.Bbox"><code class="xref py py-class docutils literal notranslate"><span class="pre">Bbox</span></code></a>.
Any vertices with a non-finite x or y value are ignored.</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><dl class="first last docutils">
<dt><strong>vertices</strong><span class="classifier">Nx2 Numpy array.</span></dt><dd></dd>
</dl>
</td>
</tr>
</tbody>
</table>
</dd></dl>
<dl class="py method">
<dt id="matplotlib.transforms.BboxBase.count_overlaps">
<code class="descname">count_overlaps</code><span class="sig-paren">(</span><em><span class="n">self</span></em>, <em><span class="n">bboxes</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/transforms.html#BboxBase.count_overlaps"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.transforms.BboxBase.count_overlaps" title="Permalink to this definition">¶</a></dt>
<dd><p>Count the number of bounding boxes that overlap this one.</p>
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<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><dl class="first last docutils">
<dt><strong>bboxes</strong><span class="classifier">sequence of <a class="reference internal" href="#matplotlib.transforms.BboxBase" title="matplotlib.transforms.BboxBase"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BboxBase</span></code></a></span></dt><dd></dd>
</dl>
</td>
</tr>
</tbody>
</table>
</dd></dl>
<dl class="py method">
<dt id="matplotlib.transforms.BboxBase.expanded">
<code class="descname">expanded</code><span class="sig-paren">(</span><em><span class="n">self</span></em>, <em><span class="n">sw</span></em>, <em><span class="n">sh</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/transforms.html#BboxBase.expanded"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.transforms.BboxBase.expanded" title="Permalink to this definition">¶</a></dt>
<dd><p>Construct a <a class="reference internal" href="#matplotlib.transforms.Bbox" title="matplotlib.transforms.Bbox"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Bbox</span></code></a> by expanding this one around its center by the
factors <em>sw</em> and <em>sh</em>.</p>
</dd></dl>
<dl class="py method">
<dt id="matplotlib.transforms.BboxBase.extents">
<em class="property">property </em><code class="descname">extents</code><a class="headerlink" href="#matplotlib.transforms.BboxBase.extents" title="Permalink to this definition">¶</a></dt>
<dd><p>Return (<a class="reference internal" href="#matplotlib.transforms.BboxBase.x0" title="matplotlib.transforms.BboxBase.x0"><code class="xref py py-attr docutils literal notranslate"><span class="pre">x0</span></code></a>, <a class="reference internal" href="#matplotlib.transforms.BboxBase.y0" title="matplotlib.transforms.BboxBase.y0"><code class="xref py py-attr docutils literal notranslate"><span class="pre">y0</span></code></a>, <a class="reference internal" href="#matplotlib.transforms.BboxBase.x1" title="matplotlib.transforms.BboxBase.x1"><code class="xref py py-attr docutils literal notranslate"><span class="pre">x1</span></code></a>, <a class="reference internal" href="#matplotlib.transforms.BboxBase.y1" title="matplotlib.transforms.BboxBase.y1"><code class="xref py py-attr docutils literal notranslate"><span class="pre">y1</span></code></a>).</p>
</dd></dl>
<dl class="py method">
<dt id="matplotlib.transforms.BboxBase.frozen">
<code class="descname">frozen</code><span class="sig-paren">(</span><em><span class="n">self</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/transforms.html#BboxBase.frozen"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.transforms.BboxBase.frozen" title="Permalink to this definition">¶</a></dt>
<dd><p><a class="reference internal" href="#matplotlib.transforms.TransformNode" title="matplotlib.transforms.TransformNode"><code class="xref py py-class docutils literal notranslate"><span class="pre">TransformNode</span></code></a> is the base class for anything that
participates in the transform tree and needs to invalidate its
parents or be invalidated. This includes classes that are not
really transforms, such as bounding boxes, since some transforms
depend on bounding boxes to compute their values.</p>
</dd></dl>
<dl class="py method">
<dt id="matplotlib.transforms.BboxBase.fully_contains">
<code class="descname">fully_contains</code><span class="sig-paren">(</span><em><span class="n">self</span></em>, <em><span class="n">x</span></em>, <em><span class="n">y</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/transforms.html#BboxBase.fully_contains"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.transforms.BboxBase.fully_contains" title="Permalink to this definition">¶</a></dt>
<dd><p>Return whether <code class="docutils literal notranslate"><span class="pre">x,</span> <span class="pre">y</span></code> is in the bounding box, but not on its edge.</p>
</dd></dl>
<dl class="py method">
<dt id="matplotlib.transforms.BboxBase.fully_containsx">
<code class="descname">fully_containsx</code><span class="sig-paren">(</span><em><span class="n">self</span></em>, <em><span class="n">x</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/transforms.html#BboxBase.fully_containsx"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.transforms.BboxBase.fully_containsx" title="Permalink to this definition">¶</a></dt>
<dd><p>Return whether <em>x</em> is in the open (<a class="reference internal" href="#matplotlib.transforms.BboxBase.x0" title="matplotlib.transforms.BboxBase.x0"><code class="xref py py-attr docutils literal notranslate"><span class="pre">x0</span></code></a>, <a class="reference internal" href="#matplotlib.transforms.BboxBase.x1" title="matplotlib.transforms.BboxBase.x1"><code class="xref py py-attr docutils literal notranslate"><span class="pre">x1</span></code></a>) interval.</p>
</dd></dl>
<dl class="py method">
<dt id="matplotlib.transforms.BboxBase.fully_containsy">
<code class="descname">fully_containsy</code><span class="sig-paren">(</span><em><span class="n">self</span></em>, <em><span class="n">y</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/transforms.html#BboxBase.fully_containsy"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.transforms.BboxBase.fully_containsy" title="Permalink to this definition">¶</a></dt>
<dd><p>Return whether <em>y</em> is in the open (<a class="reference internal" href="#matplotlib.transforms.BboxBase.y0" title="matplotlib.transforms.BboxBase.y0"><code class="xref py py-attr docutils literal notranslate"><span class="pre">y0</span></code></a>, <a class="reference internal" href="#matplotlib.transforms.BboxBase.y1" title="matplotlib.transforms.BboxBase.y1"><code class="xref py py-attr docutils literal notranslate"><span class="pre">y1</span></code></a>) interval.</p>
</dd></dl>
<dl class="py method">
<dt id="matplotlib.transforms.BboxBase.fully_overlaps">
<code class="descname">fully_overlaps</code><span class="sig-paren">(</span><em><span class="n">self</span></em>, <em><span class="n">other</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/transforms.html#BboxBase.fully_overlaps"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.transforms.BboxBase.fully_overlaps" title="Permalink to this definition">¶</a></dt>
<dd><p>Return whether this bounding box overlaps with the other bounding box,
not including the edges.</p>
<table class="docutils field-list" frame="void" rules="none">
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<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><dl class="first last docutils">
<dt><strong>other</strong><span class="classifier"><a class="reference internal" href="#matplotlib.transforms.BboxBase" title="matplotlib.transforms.BboxBase"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BboxBase</span></code></a></span></dt><dd></dd>
</dl>
</td>
</tr>
</tbody>
</table>
</dd></dl>
<dl class="py method">
<dt id="matplotlib.transforms.BboxBase.get_points">
<code class="descname">get_points</code><span class="sig-paren">(</span><em><span class="n">self</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/transforms.html#BboxBase.get_points"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.transforms.BboxBase.get_points" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
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