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<li><a class="reference internal" href="#">colors</a><ul>
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<div class="section" id="colors">
<h1>colors<a class="headerlink" href="#colors" title="Permalink to this headline">¶</a></h1>
<p>For a visual representation of the matplotlib colormaps, see the
“Color” section in the gallery.</p>
<div class="section" id="module-matplotlib.colors">
<span id="matplotlib-colors"></span><h2><a class="reference internal" href="#module-matplotlib.colors" title="matplotlib.colors"><code class="xref py py-mod docutils literal"><span class="pre">matplotlib.colors</span></code></a><a class="headerlink" href="#module-matplotlib.colors" title="Permalink to this headline">¶</a></h2>
<p>A module for converting numbers or color arguments to <em>RGB</em> or <em>RGBA</em></p>
<p><em>RGB</em> and <em>RGBA</em> are sequences of, respectively, 3 or 4 floats in the
range 0-1.</p>
<p>This module includes functions and classes for color specification
conversions, and for mapping numbers to colors in a 1-D array of colors called
a colormap. Colormapping typically involves two steps: a data array is first
mapped onto the range 0-1 using an instance of <a class="reference internal" href="_as_gen/matplotlib.colors.Normalize.html#matplotlib.colors.Normalize" title="matplotlib.colors.Normalize"><code class="xref py py-class docutils literal"><span class="pre">Normalize</span></code></a> or of a
subclass; then this number in the 0-1 range is mapped to a color using an
instance of a subclass of <a class="reference internal" href="_as_gen/matplotlib.colors.Colormap.html#matplotlib.colors.Colormap" title="matplotlib.colors.Colormap"><code class="xref py py-class docutils literal"><span class="pre">Colormap</span></code></a>. Two are provided here:
<a class="reference internal" href="_as_gen/matplotlib.colors.LinearSegmentedColormap.html#matplotlib.colors.LinearSegmentedColormap" title="matplotlib.colors.LinearSegmentedColormap"><code class="xref py py-class docutils literal"><span class="pre">LinearSegmentedColormap</span></code></a>, which is used to generate all the built-in
colormap instances, but is also useful for making custom colormaps, and
<a class="reference internal" href="_as_gen/matplotlib.colors.ListedColormap.html#matplotlib.colors.ListedColormap" title="matplotlib.colors.ListedColormap"><code class="xref py py-class docutils literal"><span class="pre">ListedColormap</span></code></a>, which is used for generating a custom colormap from a
list of color specifications.</p>
<p>The module also provides functions for checking whether an object can be
interpreted as a color (<a class="reference internal" href="_as_gen/matplotlib.colors.is_color_like.html#matplotlib.colors.is_color_like" title="matplotlib.colors.is_color_like"><code class="xref py py-func docutils literal"><span class="pre">is_color_like()</span></code></a>), for converting such an object
to an RGBA tuple (<a class="reference internal" href="_as_gen/matplotlib.colors.to_rgba.html#matplotlib.colors.to_rgba" title="matplotlib.colors.to_rgba"><code class="xref py py-func docutils literal"><span class="pre">to_rgba()</span></code></a>) or to an HTML-like hex string in the
<code class="xref py py-obj docutils literal"><span class="pre">#rrggbb</span></code> format (<a class="reference internal" href="_as_gen/matplotlib.colors.to_hex.html#matplotlib.colors.to_hex" title="matplotlib.colors.to_hex"><code class="xref py py-func docutils literal"><span class="pre">to_hex()</span></code></a>), and a sequence of colors to an <code class="xref py py-obj docutils literal"><span class="pre">(n,</span> <span class="pre">4)</span></code>
RGBA array (<a class="reference internal" href="_as_gen/matplotlib.colors.to_rgba_array.html#matplotlib.colors.to_rgba_array" title="matplotlib.colors.to_rgba_array"><code class="xref py py-func docutils literal"><span class="pre">to_rgba_array()</span></code></a>). Caching is used for efficiency.</p>
<p>Matplotlib recognizes the following formats to specify a color:</p>
<ul class="simple">
<li>an RGB or RGBA tuple of float values in <code class="docutils literal"><span class="pre">[0,</span> <span class="pre">1]</span></code> (e.g., <code class="docutils literal"><span class="pre">(0.1,</span> <span class="pre">0.2,</span> <span class="pre">0.5)</span></code>
or <code class="docutils literal"><span class="pre">(0.1,</span> <span class="pre">0.2,</span> <span class="pre">0.5,</span> <span class="pre">0.3)</span></code>);</li>
<li>a hex RGB or RGBA string (e.g., <code class="docutils literal"><span class="pre">'#0F0F0F'</span></code> or <code class="docutils literal"><span class="pre">'#0F0F0F0F'</span></code>);</li>
<li>a string representation of a float value in <code class="docutils literal"><span class="pre">[0,</span> <span class="pre">1]</span></code> inclusive for gray
level (e.g., <code class="docutils literal"><span class="pre">'0.5'</span></code>);</li>
<li>one of <code class="docutils literal"><span class="pre">{'b',</span> <span class="pre">'g',</span> <span class="pre">'r',</span> <span class="pre">'c',</span> <span class="pre">'m',</span> <span class="pre">'y',</span> <span class="pre">'k',</span> <span class="pre">'w'}</span></code>;</li>
<li>a X11/CSS4 color name;</li>
<li>a name from the <a class="reference external" href="https://xkcd.com/color/rgb/">xkcd color survey</a>;
prefixed with <code class="docutils literal"><span class="pre">'xkcd:'</span></code> (e.g., <code class="docutils literal"><span class="pre">'xkcd:sky</span> <span class="pre">blue'</span></code>);</li>
<li>one of <code class="docutils literal"><span class="pre">{'tab:blue',</span> <span class="pre">'tab:orange',</span> <span class="pre">'tab:green',</span>
<span class="pre">'tab:red',</span> <span class="pre">'tab:purple',</span> <span class="pre">'tab:brown',</span> <span class="pre">'tab:pink',</span>
<span class="pre">'tab:gray',</span> <span class="pre">'tab:olive',</span> <span class="pre">'tab:cyan'}</span></code> which are the Tableau Colors from the
‘T10’ categorical palette (which is the default color cycle);</li>
<li>a “CN” color spec, i.e. <code class="xref py py-obj docutils literal"><span class="pre">'C'</span></code> followed by a single digit, which is an index
into the default property cycle (<code class="docutils literal"><span class="pre">matplotlib.rcParams['axes.prop_cycle']</span></code>);
the indexing occurs at artist creation time and defaults to black if the
cycle does not include color.</li>
</ul>
<p>All string specifications of color, other than “CN”, are case-insensitive.</p>
<div class="section" id="classes">
<h3>Classes<a class="headerlink" href="#classes" title="Permalink to this headline">¶</a></h3>
<table border="1" class="longtable docutils">
<colgroup>
<col width="10%" />
<col width="90%" />
</colgroup>
<tbody valign="top">
<tr class="row-odd"><td><a class="reference internal" href="_as_gen/matplotlib.colors.BoundaryNorm.html#matplotlib.colors.BoundaryNorm" title="matplotlib.colors.BoundaryNorm"><code class="xref py py-obj docutils literal"><span class="pre">BoundaryNorm</span></code></a>(boundaries, ncolors[, clip])</td>
<td>Generate a colormap index based on discrete intervals.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="_as_gen/matplotlib.colors.Colormap.html#matplotlib.colors.Colormap" title="matplotlib.colors.Colormap"><code class="xref py py-obj docutils literal"><span class="pre">Colormap</span></code></a>(name[, N])</td>
<td>Baseclass for all scalar to RGBA mappings.</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="_as_gen/matplotlib.colors.LightSource.html#matplotlib.colors.LightSource" title="matplotlib.colors.LightSource"><code class="xref py py-obj docutils literal"><span class="pre">LightSource</span></code></a>([azdeg, altdeg, hsv_min_val, …])</td>
<td>Create a light source coming from the specified azimuth and elevation.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="_as_gen/matplotlib.colors.LinearSegmentedColormap.html#matplotlib.colors.LinearSegmentedColormap" title="matplotlib.colors.LinearSegmentedColormap"><code class="xref py py-obj docutils literal"><span class="pre">LinearSegmentedColormap</span></code></a>(name, segmentdata[, …])</td>
<td>Colormap objects based on lookup tables using linear segments.</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="_as_gen/matplotlib.colors.ListedColormap.html#matplotlib.colors.ListedColormap" title="matplotlib.colors.ListedColormap"><code class="xref py py-obj docutils literal"><span class="pre">ListedColormap</span></code></a>(colors[, name, N])</td>
<td>Colormap object generated from a list of colors.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="_as_gen/matplotlib.colors.LogNorm.html#matplotlib.colors.LogNorm" title="matplotlib.colors.LogNorm"><code class="xref py py-obj docutils literal"><span class="pre">LogNorm</span></code></a>([vmin, vmax, clip])</td>
<td>Normalize a given value to the 0-1 range on a log scale</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="_as_gen/matplotlib.colors.NoNorm.html#matplotlib.colors.NoNorm" title="matplotlib.colors.NoNorm"><code class="xref py py-obj docutils literal"><span class="pre">NoNorm</span></code></a>([vmin, vmax, clip])</td>
<td>Dummy replacement for Normalize, for the case where we want to use indices directly in a <a class="reference internal" href="cm_api.html#matplotlib.cm.ScalarMappable" title="matplotlib.cm.ScalarMappable"><code class="xref py py-class docutils literal"><span class="pre">ScalarMappable</span></code></a> .</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="_as_gen/matplotlib.colors.Normalize.html#matplotlib.colors.Normalize" title="matplotlib.colors.Normalize"><code class="xref py py-obj docutils literal"><span class="pre">Normalize</span></code></a>([vmin, vmax, clip])</td>
<td>A class which, when called, can normalize data into the <code class="docutils literal"><span class="pre">[0.0,</span> <span class="pre">1.0]</span></code> interval.</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="_as_gen/matplotlib.colors.PowerNorm.html#matplotlib.colors.PowerNorm" title="matplotlib.colors.PowerNorm"><code class="xref py py-obj docutils literal"><span class="pre">PowerNorm</span></code></a>(gamma[, vmin, vmax, clip])</td>
<td>Normalize a given value to the <code class="docutils literal"><span class="pre">[0,</span> <span class="pre">1]</span></code> interval with a power-law scaling.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="_as_gen/matplotlib.colors.SymLogNorm.html#matplotlib.colors.SymLogNorm" title="matplotlib.colors.SymLogNorm"><code class="xref py py-obj docutils literal"><span class="pre">SymLogNorm</span></code></a>(linthresh[, linscale, vmin, …])</td>
<td>The symmetrical logarithmic scale is logarithmic in both the positive and negative directions from the origin.</td>
</tr>
</tbody>
</table>
</div>
<div class="section" id="functions">
<h3>Functions<a class="headerlink" href="#functions" title="Permalink to this headline">¶</a></h3>
<table border="1" class="longtable docutils">
<colgroup>
<col width="10%" />
<col width="90%" />
</colgroup>
<tbody valign="top">
<tr class="row-odd"><td><a class="reference internal" href="_as_gen/matplotlib.colors.from_levels_and_colors.html#matplotlib.colors.from_levels_and_colors" title="matplotlib.colors.from_levels_and_colors"><code class="xref py py-obj docutils literal"><span class="pre">from_levels_and_colors</span></code></a>(levels, colors[, extend])</td>
<td>A helper routine to generate a cmap and a norm instance which behave similar to contourf’s levels and colors arguments.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="_as_gen/matplotlib.colors.hsv_to_rgb.html#matplotlib.colors.hsv_to_rgb" title="matplotlib.colors.hsv_to_rgb"><code class="xref py py-obj docutils literal"><span class="pre">hsv_to_rgb</span></code></a>(hsv)</td>
<td>convert hsv values in a numpy array to rgb values</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="_as_gen/matplotlib.colors.rgb_to_hsv.html#matplotlib.colors.rgb_to_hsv" title="matplotlib.colors.rgb_to_hsv"><code class="xref py py-obj docutils literal"><span class="pre">rgb_to_hsv</span></code></a>(arr)</td>
<td>convert float rgb values (in the range [0, 1]), in a numpy array to hsv</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="_as_gen/matplotlib.colors.to_hex.html#matplotlib.colors.to_hex" title="matplotlib.colors.to_hex"><code class="xref py py-obj docutils literal"><span class="pre">to_hex</span></code></a>(c[, keep_alpha])</td>
<td>Convert <code class="xref py py-obj docutils literal"><span class="pre">c</span></code> to a hex color.</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="_as_gen/matplotlib.colors.to_rgb.html#matplotlib.colors.to_rgb" title="matplotlib.colors.to_rgb"><code class="xref py py-obj docutils literal"><span class="pre">to_rgb</span></code></a>(c)</td>
<td>Convert <code class="xref py py-obj docutils literal"><span class="pre">c</span></code> to an RGB color, silently dropping the alpha channel.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="_as_gen/matplotlib.colors.to_rgba.html#matplotlib.colors.to_rgba" title="matplotlib.colors.to_rgba"><code class="xref py py-obj docutils literal"><span class="pre">to_rgba</span></code></a>(c[, alpha])</td>
<td>Convert <code class="xref py py-obj docutils literal"><span class="pre">c</span></code> to an RGBA color.</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="_as_gen/matplotlib.colors.to_rgba_array.html#matplotlib.colors.to_rgba_array" title="matplotlib.colors.to_rgba_array"><code class="xref py py-obj docutils literal"><span class="pre">to_rgba_array</span></code></a>(c[, alpha])</td>
<td>Convert <code class="xref py py-obj docutils literal"><span class="pre">c</span></code> to a (n, 4) array of RGBA colors.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="_as_gen/matplotlib.colors.is_color_like.html#matplotlib.colors.is_color_like" title="matplotlib.colors.is_color_like"><code class="xref py py-obj docutils literal"><span class="pre">is_color_like</span></code></a>(c)</td>
<td>Return whether <code class="xref py py-obj docutils literal"><span class="pre">c</span></code> can be interpreted as an RGB(A) color.</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="_as_gen/matplotlib.colors.makeMappingArray.html#matplotlib.colors.makeMappingArray" title="matplotlib.colors.makeMappingArray"><code class="xref py py-obj docutils literal"><span class="pre">makeMappingArray</span></code></a>(N, data[, gamma])</td>
<td>Create an <em>N</em> -element 1-d lookup table</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="_as_gen/matplotlib.colors.get_named_colors_mapping.html#matplotlib.colors.get_named_colors_mapping" title="matplotlib.colors.get_named_colors_mapping"><code class="xref py py-obj docutils literal"><span class="pre">get_named_colors_mapping</span></code></a>()</td>
<td>Return the global mapping of names to named colors.</td>
</tr>
</tbody>
</table>
</div>
</div>
</div>
</div>
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© Copyright 2002 - 2012 John Hunter, Darren Dale, Eric Firing, Michael Droettboom and the Matplotlib development team; 2012 - 2017 The Matplotlib development team.
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