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<li><a class="reference internal" href="#">scale</a><ul>
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<div class="section" id="scale">
<h1>scale<a class="headerlink" href="#scale" title="Permalink to this headline">¶</a></h1>
<div class="section" id="module-matplotlib.scale">
<span id="matplotlib-scale"></span><h2><a class="reference internal" href="#module-matplotlib.scale" title="matplotlib.scale"><code class="xref py py-mod docutils literal notranslate"><span class="pre">matplotlib.scale</span></code></a><a class="headerlink" href="#module-matplotlib.scale" title="Permalink to this headline">¶</a></h2>
<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>shorthand_name=None</em><span class="sig-paren">)</span><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>Creates a new <code class="xref py py-class docutils literal notranslate"><span class="pre">TransformNode</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 last docutils">
<dt><strong>shorthand_name</strong> <span class="classifier-delimiter">:</span> <span class="classifier">str</span></dt>
<dd><p class="first last">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="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><span class="sig-paren">)</span><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>shorthand_name=None</em><span class="sig-paren">)</span><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>Creates a new <code class="xref py py-class docutils literal notranslate"><span class="pre">TransformNode</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 last docutils">
<dt><strong>shorthand_name</strong> <span class="classifier-delimiter">:</span> <span class="classifier">str</span></dt>
<dd><p class="first last">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="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><span class="sig-paren">)</span><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="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="method">
<dt id="matplotlib.scale.InvertedLogTransform.inverted">
<code class="descname">inverted</code><span class="sig-paren">(</span><span class="sig-paren">)</span><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>
</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>shorthand_name=None</em><span class="sig-paren">)</span><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>Creates a new <code class="xref py py-class docutils literal notranslate"><span class="pre">TransformNode</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 last docutils">
<dt><strong>shorthand_name</strong> <span class="classifier-delimiter">:</span> <span class="classifier">str</span></dt>
<dd><p class="first last">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="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>a</em><span class="sig-paren">)</span><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>shorthand_name=None</em><span class="sig-paren">)</span><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>Creates a new <code class="xref py py-class docutils literal notranslate"><span class="pre">TransformNode</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 last docutils">
<dt><strong>shorthand_name</strong> <span class="classifier-delimiter">:</span> <span class="classifier">str</span></dt>
<dd><p class="first last">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="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><span class="sig-paren">)</span><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="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><span class="sig-paren">)</span><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>a</em><span class="sig-paren">)</span><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="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><span class="sig-paren">)</span><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>axis</em><span class="sig-paren">)</span><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>nonpos='clip'</em><span class="sig-paren">)</span><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>
<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><span class="sig-paren">)</span><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>nonpos='clip'</em><span class="sig-paren">)</span><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>
<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><span class="sig-paren">)</span><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="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 so non-positive
values are not plotted.</p>
<p>For computational efficiency (to push as much as possible to Numpy
C code in the common cases), this scale provides different
transforms depending on the base of the logarithm:</p>
<blockquote>
<div><ul class="simple">
<li>base 10 (<a class="reference internal" href="#matplotlib.scale.Log10Transform" title="matplotlib.scale.Log10Transform"><code class="xref py py-class docutils literal notranslate"><span class="pre">Log10Transform</span></code></a>)</li>
<li>base 2 (<a class="reference internal" href="#matplotlib.scale.Log2Transform" title="matplotlib.scale.Log2Transform"><code class="xref py py-class docutils literal notranslate"><span class="pre">Log2Transform</span></code></a>)</li>
<li>base e (<a class="reference internal" href="#matplotlib.scale.NaturalLogTransform" title="matplotlib.scale.NaturalLogTransform"><code class="xref py py-class docutils literal notranslate"><span class="pre">NaturalLogTransform</span></code></a>)</li>
<li>arbitrary base (<a class="reference internal" href="#matplotlib.scale.LogTransform" title="matplotlib.scale.LogTransform"><code class="xref py py-class docutils literal notranslate"><span class="pre">LogTransform</span></code></a>)</li>
</ul>
</div></blockquote>
<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>shorthand_name=None</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>Creates a new <code class="xref py py-class docutils literal notranslate"><span class="pre">TransformNode</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 last docutils">
<dt><strong>shorthand_name</strong> <span class="classifier-delimiter">:</span> <span class="classifier">str</span></dt>
<dd><p class="first last">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="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><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>shorthand_name=None</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>Creates a new <code class="xref py py-class docutils literal notranslate"><span class="pre">TransformNode</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 last docutils">
<dt><strong>shorthand_name</strong> <span class="classifier-delimiter">:</span> <span class="classifier">str</span></dt>
<dd><p class="first last">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="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><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="method">
<dt id="matplotlib.scale.LogScale.InvertedLogTransform.inverted">
<code class="descname">inverted</code><span class="sig-paren">(</span><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>
</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>shorthand_name=None</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>Creates a new <code class="xref py py-class docutils literal notranslate"><span class="pre">TransformNode</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 last docutils">
<dt><strong>shorthand_name</strong> <span class="classifier-delimiter">:</span> <span class="classifier">str</span></dt>
<dd><p class="first last">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="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><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>nonpos='clip'</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>
<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><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>nonpos='clip'</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>
<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><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="#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>
<dl class="method">
<dt id="matplotlib.scale.LogScale.LogTransform.inverted">
<code class="descname">inverted</code><span class="sig-paren">(</span><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>
</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>nonpos='clip'</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>
<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>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>nonpos='clip'</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>
<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><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="method">
<dt id="matplotlib.scale.LogScale.get_transform">
<code class="descname">get_transform</code><span class="sig-paren">(</span><span class="sig-paren">)</span><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>vmin</em>, <em>vmax</em>, <em>minpos</em><span class="sig-paren">)</span><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>axis</em><span class="sig-paren">)</span><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="headerlink" href="#matplotlib.scale.LogTransform" 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>
<dl class="method">
<dt id="matplotlib.scale.LogTransform.inverted">
<code class="descname">inverted</code><span class="sig-paren">(</span><span class="sig-paren">)</span><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>
</dd></dl>
<dl class="class">
<dt id="matplotlib.scale.LogTransformBase">
<em class="property">class </em><code class="descclassname">matplotlib.scale.</code><code class="descname">LogTransformBase</code><span class="sig-paren">(</span><em>nonpos='clip'</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.scale.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>
<dl class="attribute">
<dt id="matplotlib.scale.LogTransformBase.has_inverse">
<code class="descname">has_inverse</code><em class="property"> = True</em><a class="headerlink" href="#matplotlib.scale.LogTransformBase.has_inverse" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="attribute">
<dt id="matplotlib.scale.LogTransformBase.input_dims">
<code class="descname">input_dims</code><em class="property"> = 1</em><a class="headerlink" href="#matplotlib.scale.LogTransformBase.input_dims" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="attribute">
<dt id="matplotlib.scale.LogTransformBase.is_separable">
<code class="descname">is_separable</code><em class="property"> = True</em><a class="headerlink" href="#matplotlib.scale.LogTransformBase.is_separable" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="attribute">
<dt id="matplotlib.scale.LogTransformBase.output_dims">
<code class="descname">output_dims</code><em class="property"> = 1</em><a class="headerlink" href="#matplotlib.scale.LogTransformBase.output_dims" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="matplotlib.scale.LogTransformBase.transform_non_affine">
<code class="descname">transform_non_affine</code><span class="sig-paren">(</span><em>a</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.scale.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.LogTransformBase.input_dims" title="matplotlib.scale.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.LogTransformBase.output_dims" title="matplotlib.scale.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.LogTransformBase.input_dims" title="matplotlib.scale.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.LogTransformBase.output_dims" title="matplotlib.scale.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.LogisticTransform">
<em class="property">class </em><code class="descclassname">matplotlib.scale.</code><code class="descname">LogisticTransform</code><span class="sig-paren">(</span><em>nonpos='mask'</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.scale.LogisticTransform" 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.LogisticTransform.has_inverse">
<code class="descname">has_inverse</code><em class="property"> = True</em><a class="headerlink" href="#matplotlib.scale.LogisticTransform.has_inverse" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="attribute">
<dt id="matplotlib.scale.LogisticTransform.input_dims">
<code class="descname">input_dims</code><em class="property"> = 1</em><a class="headerlink" href="#matplotlib.scale.LogisticTransform.input_dims" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="matplotlib.scale.LogisticTransform.inverted">
<code class="descname">inverted</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.scale.LogisticTransform.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.LogisticTransform.is_separable">
<code class="descname">is_separable</code><em class="property"> = True</em><a class="headerlink" href="#matplotlib.scale.LogisticTransform.is_separable" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="attribute">
<dt id="matplotlib.scale.LogisticTransform.output_dims">
<code class="descname">output_dims</code><em class="property"> = 1</em><a class="headerlink" href="#matplotlib.scale.LogisticTransform.output_dims" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="matplotlib.scale.LogisticTransform.transform_non_affine">
<code class="descname">transform_non_affine</code><span class="sig-paren">(</span><em>a</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.scale.LogisticTransform.transform_non_affine" title="Permalink to this definition">¶</a></dt>
<dd><p>logistic transform (base 10)</p>
</dd></dl>
</dd></dl>
<dl class="class">
<dt id="matplotlib.scale.LogitScale">
<em class="property">class </em><code class="descclassname">matplotlib.scale.</code><code class="descname">LogitScale</code><span class="sig-paren">(</span><em>axis</em>, <em>nonpos='mask'</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.scale.LogitScale" 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>Logit scale for data between zero and one, both excluded.</p>
<p>This scale is similar to a log scale close to zero and to one, and almost
linear around 0.5. It maps the interval ]0, 1[ onto ]-infty, +infty[.</p>
<dl class="docutils">
<dt><em>nonpos</em>: [‘mask’ | ‘clip’ ]</dt>
<dd>values beyond ]0, 1[ can be masked as invalid, or clipped to a number
very close to 0 or 1</dd>
</dl>
<dl class="method">
<dt id="matplotlib.scale.LogitScale.get_transform">
<code class="descname">get_transform</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.scale.LogitScale.get_transform" title="Permalink to this definition">¶</a></dt>
<dd><p>Return a <a class="reference internal" href="#matplotlib.scale.LogitTransform" title="matplotlib.scale.LogitTransform"><code class="xref py py-class docutils literal notranslate"><span class="pre">LogitTransform</span></code></a> instance.</p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.scale.LogitScale.limit_range_for_scale">
<code class="descname">limit_range_for_scale</code><span class="sig-paren">(</span><em>vmin</em>, <em>vmax</em>, <em>minpos</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.scale.LogitScale.limit_range_for_scale" title="Permalink to this definition">¶</a></dt>
<dd><p>Limit the domain to values between 0 and 1 (excluded).</p>
</dd></dl>
<dl class="attribute">
<dt id="matplotlib.scale.LogitScale.name">
<code class="descname">name</code><em class="property"> = 'logit'</em><a class="headerlink" href="#matplotlib.scale.LogitScale.name" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="matplotlib.scale.LogitScale.set_default_locators_and_formatters">
<code class="descname">set_default_locators_and_formatters</code><span class="sig-paren">(</span><em>axis</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.scale.LogitScale.set_default_locators_and_formatters" title="Permalink to this definition">¶</a></dt>
<dd><p>Set the <a class="reference internal" href="ticker_api.html#matplotlib.ticker.Locator" title="matplotlib.ticker.Locator"><code class="xref py py-class docutils literal notranslate"><span class="pre">Locator</span></code></a> and
<a class="reference internal" href="ticker_api.html#matplotlib.ticker.Formatter" title="matplotlib.ticker.Formatter"><code class="xref py py-class docutils literal notranslate"><span class="pre">Formatter</span></code></a> objects on the given
axis to match this scale.</p>
</dd></dl>
</dd></dl>
<dl class="class">
<dt id="matplotlib.scale.LogitTransform">
<em class="property">class </em><code class="descclassname">matplotlib.scale.</code><code class="descname">LogitTransform</code><span class="sig-paren">(</span><em>nonpos='mask'</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.scale.LogitTransform" 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.LogitTransform.has_inverse">
<code class="descname">has_inverse</code><em class="property"> = True</em><a class="headerlink" href="#matplotlib.scale.LogitTransform.has_inverse" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="attribute">
<dt id="matplotlib.scale.LogitTransform.input_dims">
<code class="descname">input_dims</code><em class="property"> = 1</em><a class="headerlink" href="#matplotlib.scale.LogitTransform.input_dims" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="matplotlib.scale.LogitTransform.inverted">
<code class="descname">inverted</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.scale.LogitTransform.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.LogitTransform.is_separable">
<code class="descname">is_separable</code><em class="property"> = True</em><a class="headerlink" href="#matplotlib.scale.LogitTransform.is_separable" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="attribute">
<dt id="matplotlib.scale.LogitTransform.output_dims">
<code class="descname">output_dims</code><em class="property"> = 1</em><a class="headerlink" href="#matplotlib.scale.LogitTransform.output_dims" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="matplotlib.scale.LogitTransform.transform_non_affine">
<code class="descname">transform_non_affine</code><span class="sig-paren">(</span><em>a</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.scale.LogitTransform.transform_non_affine" title="Permalink to this definition">¶</a></dt>
<dd><p>logit transform (base 10), masked or clipped</p>
</dd></dl>
</dd></dl>
<dl class="class">
<dt id="matplotlib.scale.NaturalLogTransform">
<em class="property">class </em><code class="descclassname">matplotlib.scale.</code><code class="descname">NaturalLogTransform</code><span class="sig-paren">(</span><em>nonpos='clip'</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.scale.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>
<dl class="attribute">
<dt id="matplotlib.scale.NaturalLogTransform.base">
<code class="descname">base</code><em class="property"> = 2.718281828459045</em><a class="headerlink" href="#matplotlib.scale.NaturalLogTransform.base" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="matplotlib.scale.NaturalLogTransform.inverted">
<code class="descname">inverted</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.scale.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="class">
<dt id="matplotlib.scale.ScaleBase">
<em class="property">class </em><code class="descclassname">matplotlib.scale.</code><code class="descname">ScaleBase</code><a class="headerlink" href="#matplotlib.scale.ScaleBase" title="Permalink to this definition">¶</a></dt>
<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/functions.html#object" title="(in Python v3.6)"><code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></a></p>
<p>The base class for all scales.</p>
<p>Scales are separable transformations, working on a single dimension.</p>
<p>Any subclasses will want to override:</p>
<blockquote>
<div><ul class="simple">
<li><code class="xref py py-attr docutils literal notranslate"><span class="pre">name</span></code></li>
<li><a class="reference internal" href="#matplotlib.scale.ScaleBase.get_transform" title="matplotlib.scale.ScaleBase.get_transform"><code class="xref py py-meth docutils literal notranslate"><span class="pre">get_transform()</span></code></a></li>
<li><a class="reference internal" href="#matplotlib.scale.ScaleBase.set_default_locators_and_formatters" title="matplotlib.scale.ScaleBase.set_default_locators_and_formatters"><code class="xref py py-meth docutils literal notranslate"><span class="pre">set_default_locators_and_formatters()</span></code></a></li>
</ul>
</div></blockquote>
<dl class="docutils">
<dt>And optionally:</dt>
<dd><ul class="first last simple">
<li><a class="reference internal" href="#matplotlib.scale.ScaleBase.limit_range_for_scale" title="matplotlib.scale.ScaleBase.limit_range_for_scale"><code class="xref py py-meth docutils literal notranslate"><span class="pre">limit_range_for_scale()</span></code></a></li>
</ul>
</dd>
</dl>
<dl class="method">
<dt id="matplotlib.scale.ScaleBase.get_transform">
<code class="descname">get_transform</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.scale.ScaleBase.get_transform" title="Permalink to this definition">¶</a></dt>
<dd><p>Return the <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> object
associated with this scale.</p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.scale.ScaleBase.limit_range_for_scale">
<code class="descname">limit_range_for_scale</code><span class="sig-paren">(</span><em>vmin</em>, <em>vmax</em>, <em>minpos</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.scale.ScaleBase.limit_range_for_scale" title="Permalink to this definition">¶</a></dt>
<dd><p>Returns the range <em>vmin</em>, <em>vmax</em>, possibly limited to the
domain supported by this scale.</p>
<dl class="docutils">
<dt><em>minpos</em> should be the minimum positive value in the data.</dt>
<dd>This is used by log scales to determine a minimum value.</dd>
</dl>
</dd></dl>
<dl class="method">
<dt id="matplotlib.scale.ScaleBase.set_default_locators_and_formatters">
<code class="descname">set_default_locators_and_formatters</code><span class="sig-paren">(</span><em>axis</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.scale.ScaleBase.set_default_locators_and_formatters" title="Permalink to this definition">¶</a></dt>
<dd><p>Set the <a class="reference internal" href="ticker_api.html#matplotlib.ticker.Locator" title="matplotlib.ticker.Locator"><code class="xref py py-class docutils literal notranslate"><span class="pre">Locator</span></code></a> and
<a class="reference internal" href="ticker_api.html#matplotlib.ticker.Formatter" title="matplotlib.ticker.Formatter"><code class="xref py py-class docutils literal notranslate"><span class="pre">Formatter</span></code></a> objects on the given
axis to match this scale.</p>
</dd></dl>
</dd></dl>