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<div class="section" id="module-matplotlib.scale">
<span id="matplotlib-scale"></span><h1><code class="docutils literal notranslate"><span class="pre">matplotlib.scale</span></code><a class="headerlink" href="#module-matplotlib.scale" title="Permalink to this headline">¶</a></h1>
<dl class="class">
<dt id="matplotlib.scale.FuncScale">
<em class="property">class </em><code class="descclassname">matplotlib.scale.</code><code class="descname">FuncScale</code><span class="sig-paren">(</span><em>axis</em>, <em>functions</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/scale.html#FuncScale"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.scale.FuncScale" title="Permalink to this definition">¶</a></dt>
<dd><p>Bases: <a class="reference internal" href="#matplotlib.scale.ScaleBase" title="matplotlib.scale.ScaleBase"><code class="xref py py-class docutils literal notranslate"><span class="pre">matplotlib.scale.ScaleBase</span></code></a></p>
<p>Provide an arbitrary scale with user-supplied function for the axis.</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>axis: the axis for the scale</strong></dt>
<dd></dd>
<dt><strong>functions</strong> <span class="classifier-delimiter">:</span> <span class="classifier">(callable, callable)</span></dt>
<dd><p class="first">two-tuple of the forward and inverse functions for the scale.
The forward function must be monotonic.</p>
<p>Both functions must have the signature:</p>
<div class="last highlight-default notranslate"><div class="highlight"><pre><span></span><span class="k">def</span> <span class="nf">forward</span><span class="p">(</span><span class="n">values</span><span class="p">:</span> <span class="n">array</span><span class="o">-</span><span class="n">like</span><span class="p">)</span> <span class="o">-></span> <span class="n">array</span><span class="o">-</span><span class="n">like</span>
</pre></div>
</div>
</dd>
</dl>
</td>
</tr>
</tbody>
</table>
<dl class="method">
<dt id="matplotlib.scale.FuncScale.get_transform">
<code class="descname">get_transform</code><span class="sig-paren">(</span><em>self</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/scale.html#FuncScale.get_transform"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.scale.FuncScale.get_transform" title="Permalink to this definition">¶</a></dt>
<dd><p>The transform for arbitrary scaling</p>
</dd></dl>
<dl class="attribute">
<dt id="matplotlib.scale.FuncScale.name">
<code class="descname">name</code><em class="property"> = 'function'</em><a class="headerlink" href="#matplotlib.scale.FuncScale.name" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="matplotlib.scale.FuncScale.set_default_locators_and_formatters">
<code class="descname">set_default_locators_and_formatters</code><span class="sig-paren">(</span><em>self</em>, <em>axis</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/scale.html#FuncScale.set_default_locators_and_formatters"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.scale.FuncScale.set_default_locators_and_formatters" title="Permalink to this definition">¶</a></dt>
<dd><p>Set the locators and formatters to the same defaults as the
linear scale.</p>
</dd></dl>
</dd></dl>
<dl class="class">
<dt id="matplotlib.scale.FuncScaleLog">
<em class="property">class </em><code class="descclassname">matplotlib.scale.</code><code class="descname">FuncScaleLog</code><span class="sig-paren">(</span><em>axis</em>, <em>functions</em>, <em>base=10</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/scale.html#FuncScaleLog"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.scale.FuncScaleLog" title="Permalink to this definition">¶</a></dt>
<dd><p>Bases: <a class="reference internal" href="#matplotlib.scale.LogScale" title="matplotlib.scale.LogScale"><code class="xref py py-class docutils literal notranslate"><span class="pre">matplotlib.scale.LogScale</span></code></a></p>
<p>Provide an arbitrary scale with user-supplied function for the axis and
then put on a logarithmic axes.</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>axis: the axis for the scale</strong></dt>
<dd></dd>
<dt><strong>functions</strong> <span class="classifier-delimiter">:</span> <span class="classifier">(callable, callable)</span></dt>
<dd><p class="first">two-tuple of the forward and inverse functions for the scale.
The forward function must be monotonic.</p>
<p>Both functions must have the signature:</p>
<div class="last highlight-default notranslate"><div class="highlight"><pre><span></span><span class="k">def</span> <span class="nf">forward</span><span class="p">(</span><span class="n">values</span><span class="p">:</span> <span class="n">array</span><span class="o">-</span><span class="n">like</span><span class="p">)</span> <span class="o">-></span> <span class="n">array</span><span class="o">-</span><span class="n">like</span>
</pre></div>
</div>
</dd>
<dt><strong>base</strong> <span class="classifier-delimiter">:</span> <span class="classifier">float</span></dt>
<dd><p class="first last">logarithmic base of the scale (default = 10)</p>
</dd>
</dl>
</td>
</tr>
</tbody>
</table>
<dl class="attribute">
<dt id="matplotlib.scale.FuncScaleLog.base">
<code class="descname">base</code><a class="headerlink" href="#matplotlib.scale.FuncScaleLog.base" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="matplotlib.scale.FuncScaleLog.get_transform">
<code class="descname">get_transform</code><span class="sig-paren">(</span><em>self</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/scale.html#FuncScaleLog.get_transform"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.scale.FuncScaleLog.get_transform" title="Permalink to this definition">¶</a></dt>
<dd><p>The transform for arbitrary scaling</p>
</dd></dl>
<dl class="attribute">
<dt id="matplotlib.scale.FuncScaleLog.name">
<code class="descname">name</code><em class="property"> = 'functionlog'</em><a class="headerlink" href="#matplotlib.scale.FuncScaleLog.name" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="class">
<dt id="matplotlib.scale.FuncTransform">
<em class="property">class </em><code class="descclassname">matplotlib.scale.</code><code class="descname">FuncTransform</code><span class="sig-paren">(</span><em>forward</em>, <em>inverse</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/scale.html#FuncTransform"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.scale.FuncTransform" title="Permalink to this definition">¶</a></dt>
<dd><p>Bases: <a class="reference internal" href="transformations.html#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>A simple transform that takes and arbitrary function for the
forward and inverse transform.</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>forward</strong> <span class="classifier-delimiter">:</span> <span class="classifier">callable</span></dt>
<dd><p class="first">The forward function for the transform. This function must have
an inverse and, for best behavior, be monotonic.
It must have the signature:</p>
<div class="last highlight-default notranslate"><div class="highlight"><pre><span></span><span class="k">def</span> <span class="nf">forward</span><span class="p">(</span><span class="n">values</span><span class="p">:</span> <span class="n">array</span><span class="o">-</span><span class="n">like</span><span class="p">)</span> <span class="o">-></span> <span class="n">array</span><span class="o">-</span><span class="n">like</span>
</pre></div>
</div>
</dd>
<dt><strong>inverse</strong> <span class="classifier-delimiter">:</span> <span class="classifier">callable</span></dt>
<dd><p class="first last">The inverse of the forward function. Signature as <code class="docutils literal notranslate"><span class="pre">forward</span></code>.</p>
</dd>
</dl>
</td>
</tr>
</tbody>
</table>
<dl class="attribute">
<dt id="matplotlib.scale.FuncTransform.has_inverse">
<code class="descname">has_inverse</code><em class="property"> = True</em><a class="headerlink" href="#matplotlib.scale.FuncTransform.has_inverse" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="attribute">
<dt id="matplotlib.scale.FuncTransform.input_dims">
<code class="descname">input_dims</code><em class="property"> = 1</em><a class="headerlink" href="#matplotlib.scale.FuncTransform.input_dims" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="matplotlib.scale.FuncTransform.inverted">
<code class="descname">inverted</code><span class="sig-paren">(</span><em>self</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/scale.html#FuncTransform.inverted"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.scale.FuncTransform.inverted" title="Permalink to this definition">¶</a></dt>
<dd><p>Return the corresponding inverse transformation.</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>
<p><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>
</dd></dl>
<dl class="attribute">
<dt id="matplotlib.scale.FuncTransform.is_separable">
<code class="descname">is_separable</code><em class="property"> = True</em><a class="headerlink" href="#matplotlib.scale.FuncTransform.is_separable" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="attribute">
<dt id="matplotlib.scale.FuncTransform.output_dims">
<code class="descname">output_dims</code><em class="property"> = 1</em><a class="headerlink" href="#matplotlib.scale.FuncTransform.output_dims" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="matplotlib.scale.FuncTransform.transform_non_affine">
<code class="descname">transform_non_affine</code><span class="sig-paren">(</span><em>self</em>, <em>values</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/scale.html#FuncTransform.transform_non_affine"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.scale.FuncTransform.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>
<p>Accepts a numpy array of shape (N x <a class="reference internal" href="#matplotlib.scale.FuncTransform.input_dims" title="matplotlib.scale.FuncTransform.input_dims"><code class="xref py py-attr docutils literal notranslate"><span class="pre">input_dims</span></code></a>) and
returns a numpy array of shape (N x <a class="reference internal" href="#matplotlib.scale.FuncTransform.output_dims" title="matplotlib.scale.FuncTransform.output_dims"><code class="xref py py-attr docutils literal notranslate"><span class="pre">output_dims</span></code></a>).</p>
<p>Alternatively, accepts a numpy array of length <a class="reference internal" href="#matplotlib.scale.FuncTransform.input_dims" title="matplotlib.scale.FuncTransform.input_dims"><code class="xref py py-attr docutils literal notranslate"><span class="pre">input_dims</span></code></a>
and returns a numpy array of length <a class="reference internal" href="#matplotlib.scale.FuncTransform.output_dims" title="matplotlib.scale.FuncTransform.output_dims"><code class="xref py py-attr docutils literal notranslate"><span class="pre">output_dims</span></code></a>.</p>
</dd></dl>
</dd></dl>
<dl class="class">
<dt id="matplotlib.scale.InvertedLog10Transform">
<em class="property">class </em><code class="descclassname">matplotlib.scale.</code><code class="descname">InvertedLog10Transform</code><span class="sig-paren">(</span><em>**kwargs</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/scale.html#InvertedLog10Transform"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.scale.InvertedLog10Transform" title="Permalink to this definition">¶</a></dt>
<dd><p>Bases: <a class="reference internal" href="#matplotlib.scale.InvertedLogTransformBase" title="matplotlib.scale.InvertedLogTransformBase"><code class="xref py py-class docutils literal notranslate"><span class="pre">matplotlib.scale.InvertedLogTransformBase</span></code></a></p>
<p>[<em>Deprecated</em>]</p>
<p class="rubric">Notes</p>
<div class="deprecated">
<p><span class="versionmodified">Deprecated since version 3.1: </span></p>
</div>
<dl class="attribute">
<dt id="matplotlib.scale.InvertedLog10Transform.base">
<code class="descname">base</code><em class="property"> = 10.0</em><a class="headerlink" href="#matplotlib.scale.InvertedLog10Transform.base" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="matplotlib.scale.InvertedLog10Transform.inverted">
<code class="descname">inverted</code><span class="sig-paren">(</span><em>self</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/scale.html#InvertedLog10Transform.inverted"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.scale.InvertedLog10Transform.inverted" title="Permalink to this definition">¶</a></dt>
<dd><p>Return the corresponding inverse transformation.</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>
<p><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>
</dd></dl>
</dd></dl>
<dl class="class">
<dt id="matplotlib.scale.InvertedLog2Transform">
<em class="property">class </em><code class="descclassname">matplotlib.scale.</code><code class="descname">InvertedLog2Transform</code><span class="sig-paren">(</span><em>**kwargs</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/scale.html#InvertedLog2Transform"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.scale.InvertedLog2Transform" title="Permalink to this definition">¶</a></dt>
<dd><p>Bases: <a class="reference internal" href="#matplotlib.scale.InvertedLogTransformBase" title="matplotlib.scale.InvertedLogTransformBase"><code class="xref py py-class docutils literal notranslate"><span class="pre">matplotlib.scale.InvertedLogTransformBase</span></code></a></p>
<p>[<em>Deprecated</em>]</p>
<p class="rubric">Notes</p>
<div class="deprecated">
<p><span class="versionmodified">Deprecated since version 3.1: </span></p>
</div>
<dl class="attribute">
<dt id="matplotlib.scale.InvertedLog2Transform.base">
<code class="descname">base</code><em class="property"> = 2.0</em><a class="headerlink" href="#matplotlib.scale.InvertedLog2Transform.base" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="matplotlib.scale.InvertedLog2Transform.inverted">
<code class="descname">inverted</code><span class="sig-paren">(</span><em>self</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/scale.html#InvertedLog2Transform.inverted"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.scale.InvertedLog2Transform.inverted" title="Permalink to this definition">¶</a></dt>
<dd><p>Return the corresponding inverse transformation.</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>
<p><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>
</dd></dl>
</dd></dl>
<dl class="class">
<dt id="matplotlib.scale.InvertedLogTransform">
<em class="property">class </em><code class="descclassname">matplotlib.scale.</code><code class="descname">InvertedLogTransform</code><span class="sig-paren">(</span><em>base</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/scale.html#InvertedLogTransform"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.scale.InvertedLogTransform" title="Permalink to this definition">¶</a></dt>
<dd><p>Bases: <a class="reference internal" href="#matplotlib.scale.InvertedLogTransformBase" title="matplotlib.scale.InvertedLogTransformBase"><code class="xref py py-class docutils literal notranslate"><span class="pre">matplotlib.scale.InvertedLogTransformBase</span></code></a></p>
<dl class="attribute">
<dt id="matplotlib.scale.InvertedLogTransform.has_inverse">
<code class="descname">has_inverse</code><em class="property"> = True</em><a class="headerlink" href="#matplotlib.scale.InvertedLogTransform.has_inverse" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="attribute">
<dt id="matplotlib.scale.InvertedLogTransform.input_dims">
<code class="descname">input_dims</code><em class="property"> = 1</em><a class="headerlink" href="#matplotlib.scale.InvertedLogTransform.input_dims" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="matplotlib.scale.InvertedLogTransform.inverted">
<code class="descname">inverted</code><span class="sig-paren">(</span><em>self</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/scale.html#InvertedLogTransform.inverted"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.scale.InvertedLogTransform.inverted" title="Permalink to this definition">¶</a></dt>
<dd><p>Return the corresponding inverse transformation.</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>
<p><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>
</dd></dl>
<dl class="attribute">
<dt id="matplotlib.scale.InvertedLogTransform.is_separable">
<code class="descname">is_separable</code><em class="property"> = True</em><a class="headerlink" href="#matplotlib.scale.InvertedLogTransform.is_separable" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="attribute">
<dt id="matplotlib.scale.InvertedLogTransform.output_dims">
<code class="descname">output_dims</code><em class="property"> = 1</em><a class="headerlink" href="#matplotlib.scale.InvertedLogTransform.output_dims" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="matplotlib.scale.InvertedLogTransform.transform_non_affine">
<code class="descname">transform_non_affine</code><span class="sig-paren">(</span><em>self</em>, <em>a</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/scale.html#InvertedLogTransform.transform_non_affine"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.scale.InvertedLogTransform.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>
<p>Accepts a numpy array of shape (N x <a class="reference internal" href="#matplotlib.scale.InvertedLogTransform.input_dims" title="matplotlib.scale.InvertedLogTransform.input_dims"><code class="xref py py-attr docutils literal notranslate"><span class="pre">input_dims</span></code></a>) and
returns a numpy array of shape (N x <a class="reference internal" href="#matplotlib.scale.InvertedLogTransform.output_dims" title="matplotlib.scale.InvertedLogTransform.output_dims"><code class="xref py py-attr docutils literal notranslate"><span class="pre">output_dims</span></code></a>).</p>
<p>Alternatively, accepts a numpy array of length <a class="reference internal" href="#matplotlib.scale.InvertedLogTransform.input_dims" title="matplotlib.scale.InvertedLogTransform.input_dims"><code class="xref py py-attr docutils literal notranslate"><span class="pre">input_dims</span></code></a>
and returns a numpy array of length <a class="reference internal" href="#matplotlib.scale.InvertedLogTransform.output_dims" title="matplotlib.scale.InvertedLogTransform.output_dims"><code class="xref py py-attr docutils literal notranslate"><span class="pre">output_dims</span></code></a>.</p>
</dd></dl>
</dd></dl>
<dl class="class">
<dt id="matplotlib.scale.InvertedLogTransformBase">
<em class="property">class </em><code class="descclassname">matplotlib.scale.</code><code class="descname">InvertedLogTransformBase</code><span class="sig-paren">(</span><em>**kwargs</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/scale.html#InvertedLogTransformBase"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.scale.InvertedLogTransformBase" title="Permalink to this definition">¶</a></dt>
<dd><p>Bases: <a class="reference internal" href="transformations.html#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>[<em>Deprecated</em>]</p>
<p class="rubric">Notes</p>
<div class="deprecated">
<p><span class="versionmodified">Deprecated since version 3.1: </span></p>
</div>
<dl class="attribute">
<dt id="matplotlib.scale.InvertedLogTransformBase.has_inverse">
<code class="descname">has_inverse</code><em class="property"> = True</em><a class="headerlink" href="#matplotlib.scale.InvertedLogTransformBase.has_inverse" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="attribute">
<dt id="matplotlib.scale.InvertedLogTransformBase.input_dims">
<code class="descname">input_dims</code><em class="property"> = 1</em><a class="headerlink" href="#matplotlib.scale.InvertedLogTransformBase.input_dims" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="attribute">
<dt id="matplotlib.scale.InvertedLogTransformBase.is_separable">
<code class="descname">is_separable</code><em class="property"> = True</em><a class="headerlink" href="#matplotlib.scale.InvertedLogTransformBase.is_separable" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="attribute">
<dt id="matplotlib.scale.InvertedLogTransformBase.output_dims">
<code class="descname">output_dims</code><em class="property"> = 1</em><a class="headerlink" href="#matplotlib.scale.InvertedLogTransformBase.output_dims" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="matplotlib.scale.InvertedLogTransformBase.transform_non_affine">
<code class="descname">transform_non_affine</code><span class="sig-paren">(</span><em>self</em>, <em>a</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/scale.html#InvertedLogTransformBase.transform_non_affine"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.scale.InvertedLogTransformBase.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>
<p>Accepts a numpy array of shape (N x <a class="reference internal" href="#matplotlib.scale.InvertedLogTransformBase.input_dims" title="matplotlib.scale.InvertedLogTransformBase.input_dims"><code class="xref py py-attr docutils literal notranslate"><span class="pre">input_dims</span></code></a>) and
returns a numpy array of shape (N x <a class="reference internal" href="#matplotlib.scale.InvertedLogTransformBase.output_dims" title="matplotlib.scale.InvertedLogTransformBase.output_dims"><code class="xref py py-attr docutils literal notranslate"><span class="pre">output_dims</span></code></a>).</p>
<p>Alternatively, accepts a numpy array of length <a class="reference internal" href="#matplotlib.scale.InvertedLogTransformBase.input_dims" title="matplotlib.scale.InvertedLogTransformBase.input_dims"><code class="xref py py-attr docutils literal notranslate"><span class="pre">input_dims</span></code></a>
and returns a numpy array of length <a class="reference internal" href="#matplotlib.scale.InvertedLogTransformBase.output_dims" title="matplotlib.scale.InvertedLogTransformBase.output_dims"><code class="xref py py-attr docutils literal notranslate"><span class="pre">output_dims</span></code></a>.</p>
</dd></dl>
</dd></dl>
<dl class="class">
<dt id="matplotlib.scale.InvertedNaturalLogTransform">
<em class="property">class </em><code class="descclassname">matplotlib.scale.</code><code class="descname">InvertedNaturalLogTransform</code><span class="sig-paren">(</span><em>**kwargs</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/scale.html#InvertedNaturalLogTransform"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.scale.InvertedNaturalLogTransform" title="Permalink to this definition">¶</a></dt>
<dd><p>Bases: <a class="reference internal" href="#matplotlib.scale.InvertedLogTransformBase" title="matplotlib.scale.InvertedLogTransformBase"><code class="xref py py-class docutils literal notranslate"><span class="pre">matplotlib.scale.InvertedLogTransformBase</span></code></a></p>
<p>[<em>Deprecated</em>]</p>
<p class="rubric">Notes</p>
<div class="deprecated">
<p><span class="versionmodified">Deprecated since version 3.1: </span></p>
</div>
<dl class="attribute">
<dt id="matplotlib.scale.InvertedNaturalLogTransform.base">
<code class="descname">base</code><em class="property"> = 2.718281828459045</em><a class="headerlink" href="#matplotlib.scale.InvertedNaturalLogTransform.base" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="matplotlib.scale.InvertedNaturalLogTransform.inverted">
<code class="descname">inverted</code><span class="sig-paren">(</span><em>self</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/scale.html#InvertedNaturalLogTransform.inverted"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.scale.InvertedNaturalLogTransform.inverted" title="Permalink to this definition">¶</a></dt>
<dd><p>Return the corresponding inverse transformation.</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>
<p><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>
</dd></dl>
</dd></dl>
<dl class="class">
<dt id="matplotlib.scale.InvertedSymmetricalLogTransform">
<em class="property">class </em><code class="descclassname">matplotlib.scale.</code><code class="descname">InvertedSymmetricalLogTransform</code><span class="sig-paren">(</span><em>base</em>, <em>linthresh</em>, <em>linscale</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/scale.html#InvertedSymmetricalLogTransform"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.scale.InvertedSymmetricalLogTransform" title="Permalink to this definition">¶</a></dt>
<dd><p>Bases: <a class="reference internal" href="transformations.html#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>
<dl class="attribute">
<dt id="matplotlib.scale.InvertedSymmetricalLogTransform.has_inverse">
<code class="descname">has_inverse</code><em class="property"> = True</em><a class="headerlink" href="#matplotlib.scale.InvertedSymmetricalLogTransform.has_inverse" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="attribute">
<dt id="matplotlib.scale.InvertedSymmetricalLogTransform.input_dims">
<code class="descname">input_dims</code><em class="property"> = 1</em><a class="headerlink" href="#matplotlib.scale.InvertedSymmetricalLogTransform.input_dims" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="matplotlib.scale.InvertedSymmetricalLogTransform.inverted">
<code class="descname">inverted</code><span class="sig-paren">(</span><em>self</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/scale.html#InvertedSymmetricalLogTransform.inverted"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.scale.InvertedSymmetricalLogTransform.inverted" title="Permalink to this definition">¶</a></dt>
<dd><p>Return the corresponding inverse transformation.</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>
<p><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>
</dd></dl>
<dl class="attribute">
<dt id="matplotlib.scale.InvertedSymmetricalLogTransform.is_separable">
<code class="descname">is_separable</code><em class="property"> = True</em><a class="headerlink" href="#matplotlib.scale.InvertedSymmetricalLogTransform.is_separable" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="attribute">
<dt id="matplotlib.scale.InvertedSymmetricalLogTransform.output_dims">
<code class="descname">output_dims</code><em class="property"> = 1</em><a class="headerlink" href="#matplotlib.scale.InvertedSymmetricalLogTransform.output_dims" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="matplotlib.scale.InvertedSymmetricalLogTransform.transform_non_affine">
<code class="descname">transform_non_affine</code><span class="sig-paren">(</span><em>self</em>, <em>a</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/scale.html#InvertedSymmetricalLogTransform.transform_non_affine"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.scale.InvertedSymmetricalLogTransform.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>
<p>Accepts a numpy array of shape (N x <a class="reference internal" href="#matplotlib.scale.InvertedSymmetricalLogTransform.input_dims" title="matplotlib.scale.InvertedSymmetricalLogTransform.input_dims"><code class="xref py py-attr docutils literal notranslate"><span class="pre">input_dims</span></code></a>) and
returns a numpy array of shape (N x <a class="reference internal" href="#matplotlib.scale.InvertedSymmetricalLogTransform.output_dims" title="matplotlib.scale.InvertedSymmetricalLogTransform.output_dims"><code class="xref py py-attr docutils literal notranslate"><span class="pre">output_dims</span></code></a>).</p>
<p>Alternatively, accepts a numpy array of length <a class="reference internal" href="#matplotlib.scale.InvertedSymmetricalLogTransform.input_dims" title="matplotlib.scale.InvertedSymmetricalLogTransform.input_dims"><code class="xref py py-attr docutils literal notranslate"><span class="pre">input_dims</span></code></a>
and returns a numpy array of length <a class="reference internal" href="#matplotlib.scale.InvertedSymmetricalLogTransform.output_dims" title="matplotlib.scale.InvertedSymmetricalLogTransform.output_dims"><code class="xref py py-attr docutils literal notranslate"><span class="pre">output_dims</span></code></a>.</p>
</dd></dl>
</dd></dl>
<dl class="class">
<dt id="matplotlib.scale.LinearScale">
<em class="property">class </em><code class="descclassname">matplotlib.scale.</code><code class="descname">LinearScale</code><span class="sig-paren">(</span><em>axis</em>, <em>**kwargs</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/scale.html#LinearScale"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.scale.LinearScale" title="Permalink to this definition">¶</a></dt>
<dd><p>Bases: <a class="reference internal" href="#matplotlib.scale.ScaleBase" title="matplotlib.scale.ScaleBase"><code class="xref py py-class docutils literal notranslate"><span class="pre">matplotlib.scale.ScaleBase</span></code></a></p>
<p>The default linear scale.</p>
<dl class="method">
<dt id="matplotlib.scale.LinearScale.get_transform">
<code class="descname">get_transform</code><span class="sig-paren">(</span><em>self</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/scale.html#LinearScale.get_transform"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.scale.LinearScale.get_transform" title="Permalink to this definition">¶</a></dt>
<dd><p>The transform for linear scaling is just the
<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">IdentityTransform</span></code></a>.</p>
</dd></dl>
<dl class="attribute">
<dt id="matplotlib.scale.LinearScale.name">
<code class="descname">name</code><em class="property"> = 'linear'</em><a class="headerlink" href="#matplotlib.scale.LinearScale.name" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="matplotlib.scale.LinearScale.set_default_locators_and_formatters">
<code class="descname">set_default_locators_and_formatters</code><span class="sig-paren">(</span><em>self</em>, <em>axis</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/scale.html#LinearScale.set_default_locators_and_formatters"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.scale.LinearScale.set_default_locators_and_formatters" title="Permalink to this definition">¶</a></dt>
<dd><p>Set the locators and formatters to reasonable defaults for
linear scaling.</p>
</dd></dl>
</dd></dl>
<dl class="class">
<dt id="matplotlib.scale.Log10Transform">
<em class="property">class </em><code class="descclassname">matplotlib.scale.</code><code class="descname">Log10Transform</code><span class="sig-paren">(</span><em>**kwargs</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/scale.html#Log10Transform"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.scale.Log10Transform" title="Permalink to this definition">¶</a></dt>
<dd><p>Bases: <a class="reference internal" href="#matplotlib.scale.LogTransformBase" title="matplotlib.scale.LogTransformBase"><code class="xref py py-class docutils literal notranslate"><span class="pre">matplotlib.scale.LogTransformBase</span></code></a></p>
<p>[<em>Deprecated</em>]</p>
<p class="rubric">Notes</p>
<div class="deprecated">
<p><span class="versionmodified">Deprecated since version 3.1: </span></p>
</div>
<dl class="attribute">
<dt id="matplotlib.scale.Log10Transform.base">
<code class="descname">base</code><em class="property"> = 10.0</em><a class="headerlink" href="#matplotlib.scale.Log10Transform.base" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="matplotlib.scale.Log10Transform.inverted">
<code class="descname">inverted</code><span class="sig-paren">(</span><em>self</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/scale.html#Log10Transform.inverted"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.scale.Log10Transform.inverted" title="Permalink to this definition">¶</a></dt>
<dd><p>Return the corresponding inverse transformation.</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>
<p><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>
</dd></dl>
</dd></dl>
<dl class="class">
<dt id="matplotlib.scale.Log2Transform">
<em class="property">class </em><code class="descclassname">matplotlib.scale.</code><code class="descname">Log2Transform</code><span class="sig-paren">(</span><em>**kwargs</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/scale.html#Log2Transform"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.scale.Log2Transform" title="Permalink to this definition">¶</a></dt>
<dd><p>Bases: <a class="reference internal" href="#matplotlib.scale.LogTransformBase" title="matplotlib.scale.LogTransformBase"><code class="xref py py-class docutils literal notranslate"><span class="pre">matplotlib.scale.LogTransformBase</span></code></a></p>
<p>[<em>Deprecated</em>]</p>
<p class="rubric">Notes</p>
<div class="deprecated">
<p><span class="versionmodified">Deprecated since version 3.1: </span></p>
</div>
<dl class="attribute">
<dt id="matplotlib.scale.Log2Transform.base">
<code class="descname">base</code><em class="property"> = 2.0</em><a class="headerlink" href="#matplotlib.scale.Log2Transform.base" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="matplotlib.scale.Log2Transform.inverted">
<code class="descname">inverted</code><span class="sig-paren">(</span><em>self</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/scale.html#Log2Transform.inverted"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.scale.Log2Transform.inverted" title="Permalink to this definition">¶</a></dt>
<dd><p>Return the corresponding inverse transformation.</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>
<p><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>
</dd></dl>
</dd></dl>
<dl class="class">
<dt id="matplotlib.scale.LogScale">
<em class="property">class </em><code class="descclassname">matplotlib.scale.</code><code class="descname">LogScale</code><span class="sig-paren">(</span><em>axis</em>, <em>**kwargs</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/scale.html#LogScale"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.scale.LogScale" title="Permalink to this definition">¶</a></dt>
<dd><p>Bases: <a class="reference internal" href="#matplotlib.scale.ScaleBase" title="matplotlib.scale.ScaleBase"><code class="xref py py-class docutils literal notranslate"><span class="pre">matplotlib.scale.ScaleBase</span></code></a></p>
<p>A standard logarithmic scale. Care is taken to only plot positive values.</p>
<dl class="docutils">
<dt><em>basex</em>/<em>basey</em>:</dt>
<dd>The base of the logarithm</dd>
<dt><em>nonposx</em>/<em>nonposy</em>: {'mask', 'clip'}</dt>
<dd>non-positive values in <em>x</em> or <em>y</em> can be masked as
invalid, or clipped to a very small positive number</dd>
<dt><em>subsx</em>/<em>subsy</em>:</dt>
<dd><p class="first">Where to place the subticks between each major tick.
Should be a sequence of integers. For example, in a log10
scale: <code class="docutils literal notranslate"><span class="pre">[2,</span> <span class="pre">3,</span> <span class="pre">4,</span> <span class="pre">5,</span> <span class="pre">6,</span> <span class="pre">7,</span> <span class="pre">8,</span> <span class="pre">9]</span></code></p>
<p class="last">will place 8 logarithmically spaced minor ticks between
each major tick.</p>
</dd>
</dl>
<dl class="class">
<dt id="matplotlib.scale.LogScale.InvertedLog10Transform">
<em class="property">class </em><code class="descname">InvertedLog10Transform</code><span class="sig-paren">(</span><em>**kwargs</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.scale.LogScale.InvertedLog10Transform" title="Permalink to this definition">¶</a></dt>
<dd><p>Bases: <a class="reference internal" href="#matplotlib.scale.InvertedLogTransformBase" title="matplotlib.scale.InvertedLogTransformBase"><code class="xref py py-class docutils literal notranslate"><span class="pre">matplotlib.scale.InvertedLogTransformBase</span></code></a></p>
<p>[<em>Deprecated</em>]</p>
<p class="rubric">Notes</p>
<div class="deprecated">
<p><span class="versionmodified">Deprecated since version 3.1: </span></p>
</div>
<dl class="attribute">
<dt id="matplotlib.scale.LogScale.InvertedLog10Transform.base">
<code class="descname">base</code><em class="property"> = 10.0</em><a class="headerlink" href="#matplotlib.scale.LogScale.InvertedLog10Transform.base" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="matplotlib.scale.LogScale.InvertedLog10Transform.inverted">
<code class="descname">inverted</code><span class="sig-paren">(</span><em>self</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.scale.LogScale.InvertedLog10Transform.inverted" title="Permalink to this definition">¶</a></dt>
<dd><p>Return the corresponding inverse transformation.</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>
<p><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>
</dd></dl>
</dd></dl>
<dl class="class">
<dt id="matplotlib.scale.LogScale.InvertedLog2Transform">
<em class="property">class </em><code class="descname">InvertedLog2Transform</code><span class="sig-paren">(</span><em>**kwargs</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.scale.LogScale.InvertedLog2Transform" title="Permalink to this definition">¶</a></dt>
<dd><p>Bases: <a class="reference internal" href="#matplotlib.scale.InvertedLogTransformBase" title="matplotlib.scale.InvertedLogTransformBase"><code class="xref py py-class docutils literal notranslate"><span class="pre">matplotlib.scale.InvertedLogTransformBase</span></code></a></p>
<p>[<em>Deprecated</em>]</p>
<p class="rubric">Notes</p>
<div class="deprecated">
<p><span class="versionmodified">Deprecated since version 3.1: </span></p>
</div>
<dl class="attribute">
<dt id="matplotlib.scale.LogScale.InvertedLog2Transform.base">
<code class="descname">base</code><em class="property"> = 2.0</em><a class="headerlink" href="#matplotlib.scale.LogScale.InvertedLog2Transform.base" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="matplotlib.scale.LogScale.InvertedLog2Transform.inverted">
<code class="descname">inverted</code><span class="sig-paren">(</span><em>self</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.scale.LogScale.InvertedLog2Transform.inverted" title="Permalink to this definition">¶</a></dt>
<dd><p>Return the corresponding inverse transformation.</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>
<p><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>
</dd></dl>
</dd></dl>
<dl class="class">
<dt id="matplotlib.scale.LogScale.InvertedLogTransform">
<em class="property">class </em><code class="descname">InvertedLogTransform</code><span class="sig-paren">(</span><em>base</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.scale.LogScale.InvertedLogTransform" title="Permalink to this definition">¶</a></dt>
<dd><p>Bases: <a class="reference internal" href="#matplotlib.scale.InvertedLogTransformBase" title="matplotlib.scale.InvertedLogTransformBase"><code class="xref py py-class docutils literal notranslate"><span class="pre">matplotlib.scale.InvertedLogTransformBase</span></code></a></p>
<dl class="attribute">
<dt id="matplotlib.scale.LogScale.InvertedLogTransform.has_inverse">
<code class="descname">has_inverse</code><em class="property"> = True</em><a class="headerlink" href="#matplotlib.scale.LogScale.InvertedLogTransform.has_inverse" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="attribute">
<dt id="matplotlib.scale.LogScale.InvertedLogTransform.input_dims">
<code class="descname">input_dims</code><em class="property"> = 1</em><a class="headerlink" href="#matplotlib.scale.LogScale.InvertedLogTransform.input_dims" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="matplotlib.scale.LogScale.InvertedLogTransform.inverted">
<code class="descname">inverted</code><span class="sig-paren">(</span><em>self</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.scale.LogScale.InvertedLogTransform.inverted" title="Permalink to this definition">¶</a></dt>
<dd><p>Return the corresponding inverse transformation.</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>
<p><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>
</dd></dl>
<dl class="attribute">
<dt id="matplotlib.scale.LogScale.InvertedLogTransform.is_separable">
<code class="descname">is_separable</code><em class="property"> = True</em><a class="headerlink" href="#matplotlib.scale.LogScale.InvertedLogTransform.is_separable" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="attribute">
<dt id="matplotlib.scale.LogScale.InvertedLogTransform.output_dims">
<code class="descname">output_dims</code><em class="property"> = 1</em><a class="headerlink" href="#matplotlib.scale.LogScale.InvertedLogTransform.output_dims" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="matplotlib.scale.LogScale.InvertedLogTransform.transform_non_affine">
<code class="descname">transform_non_affine</code><span class="sig-paren">(</span><em>self</em>, <em>a</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.scale.LogScale.InvertedLogTransform.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>
<p>Accepts a numpy array of shape (N x <a class="reference internal" href="#matplotlib.scale.LogScale.InvertedLogTransform.input_dims" title="matplotlib.scale.LogScale.InvertedLogTransform.input_dims"><code class="xref py py-attr docutils literal notranslate"><span class="pre">input_dims</span></code></a>) and
returns a numpy array of shape (N x <a class="reference internal" href="#matplotlib.scale.LogScale.InvertedLogTransform.output_dims" title="matplotlib.scale.LogScale.InvertedLogTransform.output_dims"><code class="xref py py-attr docutils literal notranslate"><span class="pre">output_dims</span></code></a>).</p>
<p>Alternatively, accepts a numpy array of length <a class="reference internal" href="#matplotlib.scale.LogScale.InvertedLogTransform.input_dims" title="matplotlib.scale.LogScale.InvertedLogTransform.input_dims"><code class="xref py py-attr docutils literal notranslate"><span class="pre">input_dims</span></code></a>
and returns a numpy array of length <a class="reference internal" href="#matplotlib.scale.LogScale.InvertedLogTransform.output_dims" title="matplotlib.scale.LogScale.InvertedLogTransform.output_dims"><code class="xref py py-attr docutils literal notranslate"><span class="pre">output_dims</span></code></a>.</p>
</dd></dl>
</dd></dl>
<dl class="class">
<dt id="matplotlib.scale.LogScale.InvertedNaturalLogTransform">
<em class="property">class </em><code class="descname">InvertedNaturalLogTransform</code><span class="sig-paren">(</span><em>**kwargs</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.scale.LogScale.InvertedNaturalLogTransform" title="Permalink to this definition">¶</a></dt>
<dd><p>Bases: <a class="reference internal" href="#matplotlib.scale.InvertedLogTransformBase" title="matplotlib.scale.InvertedLogTransformBase"><code class="xref py py-class docutils literal notranslate"><span class="pre">matplotlib.scale.InvertedLogTransformBase</span></code></a></p>
<p>[<em>Deprecated</em>]</p>
<p class="rubric">Notes</p>
<div class="deprecated">
<p><span class="versionmodified">Deprecated since version 3.1: </span></p>
</div>
<dl class="attribute">
<dt id="matplotlib.scale.LogScale.InvertedNaturalLogTransform.base">
<code class="descname">base</code><em class="property"> = 2.718281828459045</em><a class="headerlink" href="#matplotlib.scale.LogScale.InvertedNaturalLogTransform.base" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="matplotlib.scale.LogScale.InvertedNaturalLogTransform.inverted">
<code class="descname">inverted</code><span class="sig-paren">(</span><em>self</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.scale.LogScale.InvertedNaturalLogTransform.inverted" title="Permalink to this definition">¶</a></dt>
<dd><p>Return the corresponding inverse transformation.</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>
<p><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>
</dd></dl>
</dd></dl>
<dl class="class">
<dt id="matplotlib.scale.LogScale.Log10Transform">
<em class="property">class </em><code class="descname">Log10Transform</code><span class="sig-paren">(</span><em>**kwargs</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.scale.LogScale.Log10Transform" title="Permalink to this definition">¶</a></dt>
<dd><p>Bases: <a class="reference internal" href="#matplotlib.scale.LogTransformBase" title="matplotlib.scale.LogTransformBase"><code class="xref py py-class docutils literal notranslate"><span class="pre">matplotlib.scale.LogTransformBase</span></code></a></p>
<p>[<em>Deprecated</em>]</p>
<p class="rubric">Notes</p>
<div class="deprecated">
<p><span class="versionmodified">Deprecated since version 3.1: </span></p>
</div>
<dl class="attribute">
<dt id="matplotlib.scale.LogScale.Log10Transform.base">
<code class="descname">base</code><em class="property"> = 10.0</em><a class="headerlink" href="#matplotlib.scale.LogScale.Log10Transform.base" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="matplotlib.scale.LogScale.Log10Transform.inverted">
<code class="descname">inverted</code><span class="sig-paren">(</span><em>self</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.scale.LogScale.Log10Transform.inverted" title="Permalink to this definition">¶</a></dt>
<dd><p>Return the corresponding inverse transformation.</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>
<p><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>
</dd></dl>
</dd></dl>
<dl class="class">
<dt id="matplotlib.scale.LogScale.Log2Transform">
<em class="property">class </em><code class="descname">Log2Transform</code><span class="sig-paren">(</span><em>**kwargs</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.scale.LogScale.Log2Transform" title="Permalink to this definition">¶</a></dt>
<dd><p>Bases: <a class="reference internal" href="#matplotlib.scale.LogTransformBase" title="matplotlib.scale.LogTransformBase"><code class="xref py py-class docutils literal notranslate"><span class="pre">matplotlib.scale.LogTransformBase</span></code></a></p>
<p>[<em>Deprecated</em>]</p>
<p class="rubric">Notes</p>
<div class="deprecated">
<p><span class="versionmodified">Deprecated since version 3.1: </span></p>
</div>
<dl class="attribute">
<dt id="matplotlib.scale.LogScale.Log2Transform.base">
<code class="descname">base</code><em class="property"> = 2.0</em><a class="headerlink" href="#matplotlib.scale.LogScale.Log2Transform.base" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="matplotlib.scale.LogScale.Log2Transform.inverted">
<code class="descname">inverted</code><span class="sig-paren">(</span><em>self</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.scale.LogScale.Log2Transform.inverted" title="Permalink to this definition">¶</a></dt>
<dd><p>Return the corresponding inverse transformation.</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>
<p><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>
</dd></dl>
</dd></dl>
<dl class="class">
<dt id="matplotlib.scale.LogScale.LogTransform">
<em class="property">class </em><code class="descname">LogTransform</code><span class="sig-paren">(</span><em>base</em>, <em>nonpos='clip'</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.scale.LogScale.LogTransform" title="Permalink to this definition">¶</a></dt>
<dd><p>Bases: <a class="reference internal" href="transformations.html#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>
<dl class="attribute">
<dt id="matplotlib.scale.LogScale.LogTransform.has_inverse">
<code class="descname">has_inverse</code><em class="property"> = True</em><a class="headerlink" href="#matplotlib.scale.LogScale.LogTransform.has_inverse" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="attribute">
<dt id="matplotlib.scale.LogScale.LogTransform.input_dims">
<code class="descname">input_dims</code><em class="property"> = 1</em><a class="headerlink" href="#matplotlib.scale.LogScale.LogTransform.input_dims" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="matplotlib.scale.LogScale.LogTransform.inverted">
<code class="descname">inverted</code><span class="sig-paren">(</span><em>self</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.scale.LogScale.LogTransform.inverted" title="Permalink to this definition">¶</a></dt>
<dd><p>Return the corresponding inverse transformation.</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>
<p><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>
</dd></dl>
<dl class="attribute">
<dt id="matplotlib.scale.LogScale.LogTransform.is_separable">
<code class="descname">is_separable</code><em class="property"> = True</em><a class="headerlink" href="#matplotlib.scale.LogScale.LogTransform.is_separable" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="attribute">
<dt id="matplotlib.scale.LogScale.LogTransform.output_dims">
<code class="descname">output_dims</code><em class="property"> = 1</em><a class="headerlink" href="#matplotlib.scale.LogScale.LogTransform.output_dims" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="matplotlib.scale.LogScale.LogTransform.transform_non_affine">
<code class="descname">transform_non_affine</code><span class="sig-paren">(</span><em>self</em>, <em>a</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.scale.LogScale.LogTransform.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>
<p>Accepts a numpy array of shape (N x <a class="reference internal" href="#matplotlib.scale.LogScale.LogTransform.input_dims" title="matplotlib.scale.LogScale.LogTransform.input_dims"><code class="xref py py-attr docutils literal notranslate"><span class="pre">input_dims</span></code></a>) and
returns a numpy array of shape (N x <a class="reference internal" href="#matplotlib.scale.LogScale.LogTransform.output_dims" title="matplotlib.scale.LogScale.LogTransform.output_dims"><code class="xref py py-attr docutils literal notranslate"><span class="pre">output_dims</span></code></a>).</p>
<p>Alternatively, accepts a numpy array of length <a class="reference internal" href="#matplotlib.scale.LogScale.LogTransform.input_dims" title="matplotlib.scale.LogScale.LogTransform.input_dims"><code class="xref py py-attr docutils literal notranslate"><span class="pre">input_dims</span></code></a>
and returns a numpy array of length <a class="reference internal" href="#matplotlib.scale.LogScale.LogTransform.output_dims" title="matplotlib.scale.LogScale.LogTransform.output_dims"><code class="xref py py-attr docutils literal notranslate"><span class="pre">output_dims</span></code></a>.</p>
</dd></dl>
</dd></dl>
<dl class="class">
<dt id="matplotlib.scale.LogScale.LogTransformBase">
<em class="property">class </em><code class="descname">LogTransformBase</code><span class="sig-paren">(</span><em>**kwargs</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.scale.LogScale.LogTransformBase" title="Permalink to this definition">¶</a></dt>
<dd><p>Bases: <a class="reference internal" href="transformations.html#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>[<em>Deprecated</em>]</p>
<p class="rubric">Notes</p>
<div class="deprecated">
<p><span class="versionmodified">Deprecated since version 3.1: </span></p>
</div>
<dl class="attribute">
<dt id="matplotlib.scale.LogScale.LogTransformBase.has_inverse">
<code class="descname">has_inverse</code><em class="property"> = True</em><a class="headerlink" href="#matplotlib.scale.LogScale.LogTransformBase.has_inverse" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="attribute">
<dt id="matplotlib.scale.LogScale.LogTransformBase.input_dims">
<code class="descname">input_dims</code><em class="property"> = 1</em><a class="headerlink" href="#matplotlib.scale.LogScale.LogTransformBase.input_dims" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="attribute">
<dt id="matplotlib.scale.LogScale.LogTransformBase.is_separable">
<code class="descname">is_separable</code><em class="property"> = True</em><a class="headerlink" href="#matplotlib.scale.LogScale.LogTransformBase.is_separable" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="attribute">
<dt id="matplotlib.scale.LogScale.LogTransformBase.output_dims">
<code class="descname">output_dims</code><em class="property"> = 1</em><a class="headerlink" href="#matplotlib.scale.LogScale.LogTransformBase.output_dims" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="matplotlib.scale.LogScale.LogTransformBase.transform_non_affine">
<code class="descname">transform_non_affine</code><span class="sig-paren">(</span><em>self</em>, <em>a</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.scale.LogScale.LogTransformBase.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>
<p>Accepts a numpy array of shape (N x <a class="reference internal" href="#matplotlib.scale.LogScale.LogTransformBase.input_dims" title="matplotlib.scale.LogScale.LogTransformBase.input_dims"><code class="xref py py-attr docutils literal notranslate"><span class="pre">input_dims</span></code></a>) and
returns a numpy array of shape (N x <a class="reference internal" href="#matplotlib.scale.LogScale.LogTransformBase.output_dims" title="matplotlib.scale.LogScale.LogTransformBase.output_dims"><code class="xref py py-attr docutils literal notranslate"><span class="pre">output_dims</span></code></a>).</p>
<p>Alternatively, accepts a numpy array of length <a class="reference internal" href="#matplotlib.scale.LogScale.LogTransformBase.input_dims" title="matplotlib.scale.LogScale.LogTransformBase.input_dims"><code class="xref py py-attr docutils literal notranslate"><span class="pre">input_dims</span></code></a>
and returns a numpy array of length <a class="reference internal" href="#matplotlib.scale.LogScale.LogTransformBase.output_dims" title="matplotlib.scale.LogScale.LogTransformBase.output_dims"><code class="xref py py-attr docutils literal notranslate"><span class="pre">output_dims</span></code></a>.</p>
</dd></dl>
</dd></dl>
<dl class="class">
<dt id="matplotlib.scale.LogScale.NaturalLogTransform">
<em class="property">class </em><code class="descname">NaturalLogTransform</code><span class="sig-paren">(</span><em>**kwargs</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.scale.LogScale.NaturalLogTransform" title="Permalink to this definition">¶</a></dt>
<dd><p>Bases: <a class="reference internal" href="#matplotlib.scale.LogTransformBase" title="matplotlib.scale.LogTransformBase"><code class="xref py py-class docutils literal notranslate"><span class="pre">matplotlib.scale.LogTransformBase</span></code></a></p>
<p>[<em>Deprecated</em>]</p>
<p class="rubric">Notes</p>
<div class="deprecated">
<p><span class="versionmodified">Deprecated since version 3.1: </span></p>
</div>
<dl class="attribute">
<dt id="matplotlib.scale.LogScale.NaturalLogTransform.base">
<code class="descname">base</code><em class="property"> = 2.718281828459045</em><a class="headerlink" href="#matplotlib.scale.LogScale.NaturalLogTransform.base" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="matplotlib.scale.LogScale.NaturalLogTransform.inverted">
<code class="descname">inverted</code><span class="sig-paren">(</span><em>self</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.scale.LogScale.NaturalLogTransform.inverted" title="Permalink to this definition">¶</a></dt>
<dd><p>Return the corresponding inverse transformation.</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>
<p><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>
</dd></dl>
</dd></dl>
<dl class="attribute">
<dt id="matplotlib.scale.LogScale.base">
<code class="descname">base</code><a class="headerlink" href="#matplotlib.scale.LogScale.base" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="matplotlib.scale.LogScale.get_transform">
<code class="descname">get_transform</code><span class="sig-paren">(</span><em>self</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/scale.html#LogScale.get_transform"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.scale.LogScale.get_transform" title="Permalink to this definition">¶</a></dt>
<dd><p>Return a <a class="reference internal" href="transformations.html#matplotlib.transforms.Transform" title="matplotlib.transforms.Transform"><code class="xref py py-class docutils literal notranslate"><span class="pre">Transform</span></code></a> instance
appropriate for the given logarithm base.</p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.scale.LogScale.limit_range_for_scale">
<code class="descname">limit_range_for_scale</code><span class="sig-paren">(</span><em>self</em>, <em>vmin</em>, <em>vmax</em>, <em>minpos</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/scale.html#LogScale.limit_range_for_scale"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.scale.LogScale.limit_range_for_scale" title="Permalink to this definition">¶</a></dt>
<dd><p>Limit the domain to positive values.</p>
</dd></dl>
<dl class="attribute">
<dt id="matplotlib.scale.LogScale.name">
<code class="descname">name</code><em class="property"> = 'log'</em><a class="headerlink" href="#matplotlib.scale.LogScale.name" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="matplotlib.scale.LogScale.set_default_locators_and_formatters">
<code class="descname">set_default_locators_and_formatters</code><span class="sig-paren">(</span><em>self</em>, <em>axis</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/scale.html#LogScale.set_default_locators_and_formatters"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.scale.LogScale.set_default_locators_and_formatters" title="Permalink to this definition">¶</a></dt>
<dd><p>Set the locators and formatters to specialized versions for
log scaling.</p>
</dd></dl>
</dd></dl>
<dl class="class">
<dt id="matplotlib.scale.LogTransform">
<em class="property">class </em><code class="descclassname">matplotlib.scale.</code><code class="descname">LogTransform</code><span class="sig-paren">(</span><em>base</em>, <em>nonpos='clip'</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/scale.html#LogTransform"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.scale.LogTransform" title="Permalink to this definition">¶</a></dt>
<dd><p>Bases: <a class="reference internal" href="transformations.html#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>
<dl class="attribute">
<dt id="matplotlib.scale.LogTransform.has_inverse">
<code class="descname">has_inverse</code><em class="property"> = True</em><a class="headerlink" href="#matplotlib.scale.LogTransform.has_inverse" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="attribute">
<dt id="matplotlib.scale.LogTransform.input_dims">
<code class="descname">input_dims</code><em class="property"> = 1</em><a class="headerlink" href="#matplotlib.scale.LogTransform.input_dims" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="matplotlib.scale.LogTransform.inverted">
<code class="descname">inverted</code><span class="sig-paren">(</span><em>self</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/scale.html#LogTransform.inverted"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.scale.LogTransform.inverted" title="Permalink to this definition">¶</a></dt>
<dd><p>Return the corresponding inverse transformation.</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>
<p><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>
</dd></dl>
<dl class="attribute">
<dt id="matplotlib.scale.LogTransform.is_separable">
<code class="descname">is_separable</code><em class="property"> = True</em><a class="headerlink" href="#matplotlib.scale.LogTransform.is_separable" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="attribute">
<dt id="matplotlib.scale.LogTransform.output_dims">
<code class="descname">output_dims</code><em class="property"> = 1</em><a class="headerlink" href="#matplotlib.scale.LogTransform.output_dims" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="matplotlib.scale.LogTransform.transform_non_affine">
<code class="descname">transform_non_affine</code><span class="sig-paren">(</span><em>self</em>, <em>a</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/scale.html#LogTransform.transform_non_affine"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.scale.LogTransform.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>
<p>Accepts a numpy array of shape (N x <a class="reference internal" href="#matplotlib.scale.LogTransform.input_dims" title="matplotlib.scale.LogTransform.input_dims"><code class="xref py py-attr docutils literal notranslate"><span class="pre">input_dims</span></code></a>) and
returns a numpy array of shape (N x <a class="reference internal" href="#matplotlib.scale.LogTransform.output_dims" title="matplotlib.scale.LogTransform.output_dims"><code class="xref py py-attr docutils literal notranslate"><span class="pre">output_dims</span></code></a>).</p>
<p>Alternatively, accepts a numpy array of length <a class="reference internal" href="#matplotlib.scale.LogTransform.input_dims" title="matplotlib.scale.LogTransform.input_dims"><code class="xref py py-attr docutils literal notranslate"><span class="pre">input_dims</span></code></a>
and returns a numpy array of length <a class="reference internal" href="#matplotlib.scale.LogTransform.output_dims" title="matplotlib.scale.LogTransform.output_dims"><code class="xref py py-attr docutils literal notranslate"><span class="pre">output_dims</span></code></a>.</p>
</dd></dl>
</dd></dl>