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<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN"
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<div id="unreleased-message"> You are reading an old version of the documentation (v3.1.3). For the latest version see <a href="https://matplotlib.org/stable/api/backend_agg_api.html">https://matplotlib.org/stable/api/backend_agg_api.html</a></div>
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<div class="section" id="module-matplotlib.backends.backend_agg">
<span id="matplotlib-backends-backend-agg"></span><h1><a class="reference internal" href="#module-matplotlib.backends.backend_agg" title="matplotlib.backends.backend_agg"><code class="xref py py-mod docutils literal notranslate"><span class="pre">matplotlib.backends.backend_agg</span></code></a><a class="headerlink" href="#module-matplotlib.backends.backend_agg" title="Permalink to this headline">¶</a></h1>
<p>An agg <a class="reference external" href="http://antigrain.com/">http://antigrain.com/</a> backend</p>
<p>Features that are implemented</p>
<blockquote>
<div><ul class="simple">
<li>capstyles and join styles</li>
<li>dashes</li>
<li>linewidth</li>
<li>lines, rectangles, ellipses</li>
<li>clipping to a rectangle</li>
<li>output to RGBA and PNG, optionally JPEG and TIFF</li>
<li>alpha blending</li>
<li>DPI scaling properly - everything scales properly (dashes, linewidths, etc)</li>
<li>draw polygon</li>
<li>freetype2 w/ ft2font</li>
</ul>
</div></blockquote>
<p>TODO:</p>
<blockquote>
<div><ul class="simple">
<li>integrate screen dpi w/ ppi and text</li>
</ul>
</div></blockquote>
<dl class="attribute">
<dt id="matplotlib.backends.backend_agg.FigureCanvas">
<code class="descclassname">matplotlib.backends.backend_agg.</code><code class="descname">FigureCanvas</code><a class="headerlink" href="#matplotlib.backends.backend_agg.FigureCanvas" title="Permalink to this definition">¶</a></dt>
<dd><p>alias of <a class="reference internal" href="#matplotlib.backends.backend_agg.FigureCanvasAgg" title="matplotlib.backends.backend_agg.FigureCanvasAgg"><code class="xref py py-class docutils literal notranslate"><span class="pre">matplotlib.backends.backend_agg.FigureCanvasAgg</span></code></a></p>
</dd></dl>
<dl class="class">
<dt id="matplotlib.backends.backend_agg.FigureCanvasAgg">
<em class="property">class </em><code class="descclassname">matplotlib.backends.backend_agg.</code><code class="descname">FigureCanvasAgg</code><span class="sig-paren">(</span><em>figure</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/backends/backend_agg.html#FigureCanvasAgg"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.backends.backend_agg.FigureCanvasAgg" title="Permalink to this definition">¶</a></dt>
<dd><p>Bases: <a class="reference internal" href="backend_bases_api.html#matplotlib.backend_bases.FigureCanvasBase" title="matplotlib.backend_bases.FigureCanvasBase"><code class="xref py py-class docutils literal notranslate"><span class="pre">matplotlib.backend_bases.FigureCanvasBase</span></code></a></p>
<p>The canvas the figure renders into. Calls the draw and print fig
methods, creates the renderers, etc...</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">Attributes:</th><td class="field-body"><dl class="first last docutils">
<dt><strong>figure</strong> <span class="classifier-delimiter">:</span> <span class="classifier"><a class="reference internal" href="_as_gen/matplotlib.figure.Figure.html#matplotlib.figure.Figure" title="matplotlib.figure.Figure"><code class="xref py py-obj docutils literal notranslate"><span class="pre">matplotlib.figure.Figure</span></code></a></span></dt>
<dd><p class="first last">A high-level Figure instance</p>
</dd>
</dl>
</td>
</tr>
</tbody>
</table>
<dl class="method">
<dt id="matplotlib.backends.backend_agg.FigureCanvasAgg.buffer_rgba">
<code class="descname">buffer_rgba</code><span class="sig-paren">(</span><em>self</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/backends/backend_agg.html#FigureCanvasAgg.buffer_rgba"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.backends.backend_agg.FigureCanvasAgg.buffer_rgba" title="Permalink to this definition">¶</a></dt>
<dd><p>Get the image as a memoryview to the renderer's buffer.</p>
<p><a class="reference internal" href="#matplotlib.backends.backend_agg.FigureCanvasAgg.draw" title="matplotlib.backends.backend_agg.FigureCanvasAgg.draw"><code class="xref py py-obj docutils literal notranslate"><span class="pre">draw</span></code></a> must be called at least once before this function will work and
to update the renderer for any subsequent changes to the Figure.</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">Returns:</th><td class="field-body"><dl class="first last docutils">
<dt>memoryview</dt>
<dd></dd>
</dl>
</td>
</tr>
</tbody>
</table>
</dd></dl>
<dl class="method">
<dt id="matplotlib.backends.backend_agg.FigureCanvasAgg.copy_from_bbox">
<code class="descname">copy_from_bbox</code><span class="sig-paren">(</span><em>self</em>, <em>bbox</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/backends/backend_agg.html#FigureCanvasAgg.copy_from_bbox"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.backends.backend_agg.FigureCanvasAgg.copy_from_bbox" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="matplotlib.backends.backend_agg.FigureCanvasAgg.draw">
<code class="descname">draw</code><span class="sig-paren">(</span><em>self</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/backends/backend_agg.html#FigureCanvasAgg.draw"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.backends.backend_agg.FigureCanvasAgg.draw" title="Permalink to this definition">¶</a></dt>
<dd><p>Draw the figure using the renderer.</p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.backends.backend_agg.FigureCanvasAgg.get_renderer">
<code class="descname">get_renderer</code><span class="sig-paren">(</span><em>self</em>, <em>cleared=False</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/backends/backend_agg.html#FigureCanvasAgg.get_renderer"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.backends.backend_agg.FigureCanvasAgg.get_renderer" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="matplotlib.backends.backend_agg.FigureCanvasAgg.print_jpeg">
<code class="descname">print_jpeg</code><span class="sig-paren">(</span><em>self</em>, <em>filename_or_obj</em>, <em>*args</em>, <em>dryrun=False</em>, <em>pil_kwargs=None</em>, <em>**kwargs</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.backends.backend_agg.FigureCanvasAgg.print_jpeg" title="Permalink to this definition">¶</a></dt>
<dd><p>Write the figure to a JPEG file.</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><dl class="first docutils">
<dt><strong>filename_or_obj</strong> <span class="classifier-delimiter">:</span> <span class="classifier">str or PathLike or file-like object</span></dt>
<dd><p class="first last">The file to write to.</p>
</dd>
</dl>
</td>
</tr>
<tr class="field-even field"><th class="field-name">Other Parameters:</th><td class="field-body"><dl class="first last docutils">
<dt><strong>quality</strong> <span class="classifier-delimiter">:</span> <span class="classifier">int</span></dt>
<dd><p class="first last">The image quality, on a scale from 1 (worst) to 100 (best).
The default is <code class="docutils literal notranslate"><a class="reference external" href="../tutorials/introductory/customizing.html?highlight=savefig.jpeg_quality#a-sample-matplotlibrc-file"><span class="pre">rcParams["savefig.jpeg_quality"]</span></a></code> (default: 95). Values above
95 should be avoided; 100 completely disables the JPEG
quantization stage.</p>
</dd>
<dt><strong>optimize</strong> <span class="classifier-delimiter">:</span> <span class="classifier">bool</span></dt>
<dd><p class="first last">If present, indicates that the encoder should
make an extra pass over the image in order to select
optimal encoder settings.</p>
</dd>
<dt><strong>progressive</strong> <span class="classifier-delimiter">:</span> <span class="classifier">bool</span></dt>
<dd><p class="first last">If present, indicates that this image
should be stored as a progressive JPEG file.</p>
</dd>
<dt><strong>pil_kwargs</strong> <span class="classifier-delimiter">:</span> <span class="classifier">dict, optional</span></dt>
<dd><p class="first last">Additional keyword arguments that are passed to
<code class="xref py py-obj docutils literal notranslate"><span class="pre">PIL.Image.save</span></code> when saving the figure. These take precedence
over <em>quality</em>, <em>optimize</em> and <em>progressive</em>.</p>
</dd>
</dl>
</td>
</tr>
</tbody>
</table>
</dd></dl>
<dl class="method">
<dt id="matplotlib.backends.backend_agg.FigureCanvasAgg.print_jpg">
<code class="descname">print_jpg</code><span class="sig-paren">(</span><em>self</em>, <em>filename_or_obj</em>, <em>*args</em>, <em>dryrun=False</em>, <em>pil_kwargs=None</em>, <em>**kwargs</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/backends/backend_agg.html#FigureCanvasAgg.print_jpg"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.backends.backend_agg.FigureCanvasAgg.print_jpg" title="Permalink to this definition">¶</a></dt>
<dd><p>Write the figure to a JPEG file.</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><dl class="first docutils">
<dt><strong>filename_or_obj</strong> <span class="classifier-delimiter">:</span> <span class="classifier">str or PathLike or file-like object</span></dt>
<dd><p class="first last">The file to write to.</p>
</dd>
</dl>
</td>
</tr>
<tr class="field-even field"><th class="field-name">Other Parameters:</th><td class="field-body"><dl class="first last docutils">
<dt><strong>quality</strong> <span class="classifier-delimiter">:</span> <span class="classifier">int</span></dt>
<dd><p class="first last">The image quality, on a scale from 1 (worst) to 100 (best).
The default is <code class="docutils literal notranslate"><a class="reference external" href="../tutorials/introductory/customizing.html?highlight=savefig.jpeg_quality#a-sample-matplotlibrc-file"><span class="pre">rcParams["savefig.jpeg_quality"]</span></a></code> (default: 95). Values above
95 should be avoided; 100 completely disables the JPEG
quantization stage.</p>
</dd>
<dt><strong>optimize</strong> <span class="classifier-delimiter">:</span> <span class="classifier">bool</span></dt>
<dd><p class="first last">If present, indicates that the encoder should
make an extra pass over the image in order to select
optimal encoder settings.</p>
</dd>
<dt><strong>progressive</strong> <span class="classifier-delimiter">:</span> <span class="classifier">bool</span></dt>
<dd><p class="first last">If present, indicates that this image
should be stored as a progressive JPEG file.</p>
</dd>
<dt><strong>pil_kwargs</strong> <span class="classifier-delimiter">:</span> <span class="classifier">dict, optional</span></dt>
<dd><p class="first last">Additional keyword arguments that are passed to
<code class="xref py py-obj docutils literal notranslate"><span class="pre">PIL.Image.save</span></code> when saving the figure. These take precedence
over <em>quality</em>, <em>optimize</em> and <em>progressive</em>.</p>
</dd>
</dl>
</td>
</tr>
</tbody>
</table>
</dd></dl>
<dl class="method">
<dt id="matplotlib.backends.backend_agg.FigureCanvasAgg.print_png">
<code class="descname">print_png</code><span class="sig-paren">(</span><em>self</em>, <em>filename_or_obj</em>, <em>*args</em>, <em>metadata=None</em>, <em>pil_kwargs=None</em>, <em>**kwargs</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/backends/backend_agg.html#FigureCanvasAgg.print_png"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.backends.backend_agg.FigureCanvasAgg.print_png" title="Permalink to this definition">¶</a></dt>
<dd><p>Write the figure to a PNG file.</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>filename_or_obj</strong> <span class="classifier-delimiter">:</span> <span class="classifier">str or PathLike or file-like object</span></dt>
<dd><p class="first last">The file to write to.</p>
</dd>
<dt><strong>metadata</strong> <span class="classifier-delimiter">:</span> <span class="classifier">dict, optional</span></dt>
<dd><p class="first">Metadata in the PNG file as key-value pairs of bytes or latin-1
encodable strings.
According to the PNG specification, keys must be shorter than 79
chars.</p>
<p>The <a class="reference external" href="https://www.w3.org/TR/2003/REC-PNG-20031110/#11keywords">PNG specification</a> defines some common keywords that may be
used as appropriate:</p>
<ul class="simple">
<li>Title: Short (one line) title or caption for image.</li>
<li>Author: Name of image's creator.</li>
<li>Description: Description of image (possibly long).</li>
<li>Copyright: Copyright notice.</li>
<li>Creation Time: Time of original image creation
(usually RFC 1123 format).</li>
<li>Software: Software used to create the image.</li>
<li>Disclaimer: Legal disclaimer.</li>
<li>Warning: Warning of nature of content.</li>
<li>Source: Device used to create the image.</li>
<li>Comment: Miscellaneous comment;
conversion from other image format.</li>
</ul>
<p>Other keywords may be invented for other purposes.</p>
<p>If 'Software' is not given, an autogenerated value for matplotlib
will be used.</p>
<p class="last">For more details see the <a class="reference external" href="https://www.w3.org/TR/2003/REC-PNG-20031110/#11keywords">PNG specification</a>.</p>
</dd>
<dt><strong>pil_kwargs</strong> <span class="classifier-delimiter">:</span> <span class="classifier">dict, optional</span></dt>
<dd><p class="first">If set to a non-None value, use Pillow to save the figure instead
of Matplotlib's builtin PNG support, and pass these keyword
arguments to <code class="xref py py-obj docutils literal notranslate"><span class="pre">PIL.Image.save</span></code>.</p>
<p class="last">If the 'pnginfo' key is present, it completely overrides
<em>metadata</em>, including the default 'Software' key.</p>
</dd>
</dl>
</td>
</tr>
</tbody>
</table>
</dd></dl>
<dl class="method">
<dt id="matplotlib.backends.backend_agg.FigureCanvasAgg.print_raw">
<code class="descname">print_raw</code><span class="sig-paren">(</span><em>self</em>, <em>filename_or_obj</em>, <em>*args</em>, <em>**kwargs</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/backends/backend_agg.html#FigureCanvasAgg.print_raw"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.backends.backend_agg.FigureCanvasAgg.print_raw" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="matplotlib.backends.backend_agg.FigureCanvasAgg.print_rgba">
<code class="descname">print_rgba</code><span class="sig-paren">(</span><em>self</em>, <em>filename_or_obj</em>, <em>*args</em>, <em>**kwargs</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.backends.backend_agg.FigureCanvasAgg.print_rgba" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="matplotlib.backends.backend_agg.FigureCanvasAgg.print_tif">
<code class="descname">print_tif</code><span class="sig-paren">(</span><em>self</em>, <em>filename_or_obj</em>, <em>*args</em>, <em>dryrun=False</em>, <em>pil_kwargs=None</em>, <em>**kwargs</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/backends/backend_agg.html#FigureCanvasAgg.print_tif"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.backends.backend_agg.FigureCanvasAgg.print_tif" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="matplotlib.backends.backend_agg.FigureCanvasAgg.print_tiff">
<code class="descname">print_tiff</code><span class="sig-paren">(</span><em>self</em>, <em>filename_or_obj</em>, <em>*args</em>, <em>dryrun=False</em>, <em>pil_kwargs=None</em>, <em>**kwargs</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.backends.backend_agg.FigureCanvasAgg.print_tiff" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="matplotlib.backends.backend_agg.FigureCanvasAgg.print_to_buffer">
<code class="descname">print_to_buffer</code><span class="sig-paren">(</span><em>self</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/backends/backend_agg.html#FigureCanvasAgg.print_to_buffer"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.backends.backend_agg.FigureCanvasAgg.print_to_buffer" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="matplotlib.backends.backend_agg.FigureCanvasAgg.restore_region">
<code class="descname">restore_region</code><span class="sig-paren">(</span><em>self</em>, <em>region</em>, <em>bbox=None</em>, <em>xy=None</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/backends/backend_agg.html#FigureCanvasAgg.restore_region"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.backends.backend_agg.FigureCanvasAgg.restore_region" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="matplotlib.backends.backend_agg.FigureCanvasAgg.tostring_argb">
<code class="descname">tostring_argb</code><span class="sig-paren">(</span><em>self</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/backends/backend_agg.html#FigureCanvasAgg.tostring_argb"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.backends.backend_agg.FigureCanvasAgg.tostring_argb" title="Permalink to this definition">¶</a></dt>
<dd><p>Get the image as an ARGB byte string.</p>
<p><a class="reference internal" href="#matplotlib.backends.backend_agg.FigureCanvasAgg.draw" title="matplotlib.backends.backend_agg.FigureCanvasAgg.draw"><code class="xref py py-obj docutils literal notranslate"><span class="pre">draw</span></code></a> must be called at least once before this function will work and
to update the renderer for any subsequent changes to the Figure.</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">Returns:</th><td class="field-body"><dl class="first last docutils">
<dt>bytes</dt>
<dd></dd>
</dl>
</td>
</tr>
</tbody>
</table>
</dd></dl>
<dl class="method">
<dt id="matplotlib.backends.backend_agg.FigureCanvasAgg.tostring_rgb">
<code class="descname">tostring_rgb</code><span class="sig-paren">(</span><em>self</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/backends/backend_agg.html#FigureCanvasAgg.tostring_rgb"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.backends.backend_agg.FigureCanvasAgg.tostring_rgb" title="Permalink to this definition">¶</a></dt>
<dd><p>Get the image as an RGB byte string.</p>
<p><a class="reference internal" href="#matplotlib.backends.backend_agg.FigureCanvasAgg.draw" title="matplotlib.backends.backend_agg.FigureCanvasAgg.draw"><code class="xref py py-obj docutils literal notranslate"><span class="pre">draw</span></code></a> must be called at least once before this function will work and
to update the renderer for any subsequent changes to the Figure.</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">Returns:</th><td class="field-body"><dl class="first last docutils">
<dt>bytes</dt>
<dd></dd>
</dl>
</td>
</tr>
</tbody>
</table>
</dd></dl>
</dd></dl>
<dl class="class">
<dt id="matplotlib.backends.backend_agg.RendererAgg">
<em class="property">class </em><code class="descclassname">matplotlib.backends.backend_agg.</code><code class="descname">RendererAgg</code><span class="sig-paren">(</span><em>width</em>, <em>height</em>, <em>dpi</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/backends/backend_agg.html#RendererAgg"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.backends.backend_agg.RendererAgg" title="Permalink to this definition">¶</a></dt>
<dd><p>Bases: <a class="reference internal" href="backend_bases_api.html#matplotlib.backend_bases.RendererBase" title="matplotlib.backend_bases.RendererBase"><code class="xref py py-class docutils literal notranslate"><span class="pre">matplotlib.backend_bases.RendererBase</span></code></a></p>
<p>The renderer handles all the drawing primitives using a graphics
context instance that controls the colors/styles</p>
<dl class="method">
<dt id="matplotlib.backends.backend_agg.RendererAgg.buffer_rgba">
<code class="descname">buffer_rgba</code><span class="sig-paren">(</span><em>self</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/backends/backend_agg.html#RendererAgg.buffer_rgba"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.backends.backend_agg.RendererAgg.buffer_rgba" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="matplotlib.backends.backend_agg.RendererAgg.clear">
<code class="descname">clear</code><span class="sig-paren">(</span><em>self</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/backends/backend_agg.html#RendererAgg.clear"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.backends.backend_agg.RendererAgg.clear" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="matplotlib.backends.backend_agg.RendererAgg.draw_mathtext">
<code class="descname">draw_mathtext</code><span class="sig-paren">(</span><em>self</em>, <em>gc</em>, <em>x</em>, <em>y</em>, <em>s</em>, <em>prop</em>, <em>angle</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/backends/backend_agg.html#RendererAgg.draw_mathtext"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.backends.backend_agg.RendererAgg.draw_mathtext" title="Permalink to this definition">¶</a></dt>
<dd><p>Draw the math text using matplotlib.mathtext</p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.backends.backend_agg.RendererAgg.draw_path">
<code class="descname">draw_path</code><span class="sig-paren">(</span><em>self</em>, <em>gc</em>, <em>path</em>, <em>transform</em>, <em>rgbFace=None</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/backends/backend_agg.html#RendererAgg.draw_path"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.backends.backend_agg.RendererAgg.draw_path" title="Permalink to this definition">¶</a></dt>
<dd><p>Draws a <a class="reference internal" href="path_api.html#matplotlib.path.Path" title="matplotlib.path.Path"><code class="xref py py-class docutils literal notranslate"><span class="pre">Path</span></code></a> instance using the
given affine transform.</p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.backends.backend_agg.RendererAgg.draw_tex">
<code class="descname">draw_tex</code><span class="sig-paren">(</span><em>self</em>, <em>gc</em>, <em>x</em>, <em>y</em>, <em>s</em>, <em>prop</em>, <em>angle</em>, <em>ismath='TeX!'</em>, <em>mtext=None</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/backends/backend_agg.html#RendererAgg.draw_tex"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.backends.backend_agg.RendererAgg.draw_tex" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="matplotlib.backends.backend_agg.RendererAgg.draw_text">
<code class="descname">draw_text</code><span class="sig-paren">(</span><em>self</em>, <em>gc</em>, <em>x</em>, <em>y</em>, <em>s</em>, <em>prop</em>, <em>angle</em>, <em>ismath=False</em>, <em>mtext=None</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/backends/backend_agg.html#RendererAgg.draw_text"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.backends.backend_agg.RendererAgg.draw_text" title="Permalink to this definition">¶</a></dt>
<dd><p>Draw the text instance.</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>gc</strong> <span class="classifier-delimiter">:</span> <span class="classifier"><code class="xref py py-obj docutils literal notranslate"><span class="pre">GraphicsContextBase</span></code></span></dt>
<dd><p class="first last">The graphics context.</p>
</dd>
<dt><strong>x</strong> <span class="classifier-delimiter">:</span> <span class="classifier">scalar</span></dt>
<dd><p class="first last">The x location of the text in display coords.</p>
</dd>
<dt><strong>y</strong> <span class="classifier-delimiter">:</span> <span class="classifier">scalar</span></dt>
<dd><p class="first last">The y location of the text baseline in display coords.</p>
</dd>
<dt><strong>s</strong> <span class="classifier-delimiter">:</span> <span class="classifier">str</span></dt>
<dd><p class="first last">The text string.</p>
</dd>
<dt><strong>prop</strong> <span class="classifier-delimiter">:</span> <span class="classifier"><a class="reference internal" href="font_manager_api.html#matplotlib.font_manager.FontProperties" title="matplotlib.font_manager.FontProperties"><code class="xref py py-obj docutils literal notranslate"><span class="pre">matplotlib.font_manager.FontProperties</span></code></a></span></dt>
<dd><p class="first last">The font properties.</p>
</dd>
<dt><strong>angle</strong> <span class="classifier-delimiter">:</span> <span class="classifier">scalar</span></dt>
<dd><p class="first last">The rotation angle in degrees.</p>
</dd>
<dt><strong>mtext</strong> <span class="classifier-delimiter">:</span> <span class="classifier"><a class="reference internal" href="text_api.html#matplotlib.text.Text" title="matplotlib.text.Text"><code class="xref py py-obj docutils literal notranslate"><span class="pre">matplotlib.text.Text</span></code></a></span></dt>
<dd><p class="first last">The original text object to be rendered.</p>
</dd>
</dl>
</td>
</tr>
</tbody>
</table>
<p class="rubric">Notes</p>
<p><strong>backend implementers note</strong></p>
<p>When you are trying to determine if you have gotten your bounding box
right (which is what enables the text layout/alignment to work
properly), it helps to change the line in text.py:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="k">if</span> <span class="mi">0</span><span class="p">:</span> <span class="n">bbox_artist</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">renderer</span><span class="p">)</span>
</pre></div>
</div>
<p>to if 1, and then the actual bounding box will be plotted along with
your text.</p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.backends.backend_agg.RendererAgg.get_canvas_width_height">
<code class="descname">get_canvas_width_height</code><span class="sig-paren">(</span><em>self</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/backends/backend_agg.html#RendererAgg.get_canvas_width_height"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.backends.backend_agg.RendererAgg.get_canvas_width_height" title="Permalink to this definition">¶</a></dt>
<dd><p>Return the canvas width and height in display coords.</p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.backends.backend_agg.RendererAgg.get_text_width_height_descent">
<code class="descname">get_text_width_height_descent</code><span class="sig-paren">(</span><em>self</em>, <em>s</em>, <em>prop</em>, <em>ismath</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/backends/backend_agg.html#RendererAgg.get_text_width_height_descent"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.backends.backend_agg.RendererAgg.get_text_width_height_descent" title="Permalink to this definition">¶</a></dt>
<dd><p>Get the width, height, and descent (offset from the bottom
to the baseline), in display coords, of the string <em>s</em> with
<a class="reference internal" href="font_manager_api.html#matplotlib.font_manager.FontProperties" title="matplotlib.font_manager.FontProperties"><code class="xref py py-class docutils literal notranslate"><span class="pre">FontProperties</span></code></a> <em>prop</em></p>
</dd></dl>
<dl class="attribute">
<dt id="matplotlib.backends.backend_agg.RendererAgg.lock">
<code class="descname">lock</code><em class="property"> = <unlocked _thread.RLock object owner=0 count=0></em><a class="headerlink" href="#matplotlib.backends.backend_agg.RendererAgg.lock" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="matplotlib.backends.backend_agg.RendererAgg.option_image_nocomposite">
<code class="descname">option_image_nocomposite</code><span class="sig-paren">(</span><em>self</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/backends/backend_agg.html#RendererAgg.option_image_nocomposite"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.backends.backend_agg.RendererAgg.option_image_nocomposite" title="Permalink to this definition">¶</a></dt>
<dd><p>Return whether image composition by Matplotlib should be skipped.</p>
<p>Raster backends should usually return False (letting the C-level
rasterizer take care of image composition); vector backends should
usually return <code class="docutils literal notranslate"><span class="pre">not</span> <span class="pre">rcParams["image.composite_image"]</span></code>.</p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.backends.backend_agg.RendererAgg.option_scale_image">
<code class="descname">option_scale_image</code><span class="sig-paren">(</span><em>self</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/backends/backend_agg.html#RendererAgg.option_scale_image"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.backends.backend_agg.RendererAgg.option_scale_image" title="Permalink to this definition">¶</a></dt>
<dd><p>Return whether arbitrary affine transformations in <code class="xref py py-meth docutils literal notranslate"><span class="pre">draw_image()</span></code>
are supported (True for most vector backends).</p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.backends.backend_agg.RendererAgg.points_to_pixels">
<code class="descname">points_to_pixels</code><span class="sig-paren">(</span><em>self</em>, <em>points</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/backends/backend_agg.html#RendererAgg.points_to_pixels"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.backends.backend_agg.RendererAgg.points_to_pixels" title="Permalink to this definition">¶</a></dt>
<dd><p>Convert points to display units.</p>
<p>You need to override this function (unless your backend
doesn't have a dpi, e.g., postscript or svg). Some imaging
systems assume some value for pixels per inch:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">points</span> <span class="n">to</span> <span class="n">pixels</span> <span class="o">=</span> <span class="n">points</span> <span class="o">*</span> <span class="n">pixels_per_inch</span><span class="o">/</span><span class="mf">72.0</span> <span class="o">*</span> <span class="n">dpi</span><span class="o">/</span><span class="mf">72.0</span>
</pre></div>
</div>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><dl class="first docutils">
<dt><strong>points</strong> <span class="classifier-delimiter">:</span> <span class="classifier">scalar or array_like</span></dt>
<dd><p class="first last">a float or a numpy array of float</p>
</dd>
</dl>
</td>
</tr>
<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><dl class="first last docutils">
<dt>Points converted to pixels</dt>
<dd></dd>
</dl>
</td>
</tr>
</tbody>
</table>
</dd></dl>
<dl class="method">
<dt id="matplotlib.backends.backend_agg.RendererAgg.restore_region">
<code class="descname">restore_region</code><span class="sig-paren">(</span><em>self</em>, <em>region</em>, <em>bbox=None</em>, <em>xy=None</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/backends/backend_agg.html#RendererAgg.restore_region"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.backends.backend_agg.RendererAgg.restore_region" title="Permalink to this definition">¶</a></dt>
<dd><p>Restore the saved region. If bbox (instance of BboxBase, or
its extents) is given, only the region specified by the bbox
will be restored. <em>xy</em> (a pair of floats) optionally
specifies the new position (the LLC of the original region,
not the LLC of the bbox) where the region will be restored.</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="n">region</span> <span class="o">=</span> <span class="n">renderer</span><span class="o">.</span><span class="n">copy_from_bbox</span><span class="p">()</span>
<span class="gp">>>> </span><span class="n">x1</span><span class="p">,</span> <span class="n">y1</span><span class="p">,</span> <span class="n">x2</span><span class="p">,</span> <span class="n">y2</span> <span class="o">=</span> <span class="n">region</span><span class="o">.</span><span class="n">get_extents</span><span class="p">()</span>
<span class="gp">>>> </span><span class="n">renderer</span><span class="o">.</span><span class="n">restore_region</span><span class="p">(</span><span class="n">region</span><span class="p">,</span> <span class="n">bbox</span><span class="o">=</span><span class="p">(</span><span class="n">x1</span><span class="o">+</span><span class="n">dx</span><span class="p">,</span> <span class="n">y1</span><span class="p">,</span> <span class="n">x2</span><span class="p">,</span> <span class="n">y2</span><span class="p">),</span>
<span class="gp">... </span> <span class="n">xy</span><span class="o">=</span><span class="p">(</span><span class="n">x1</span><span class="o">-</span><span class="n">dx</span><span class="p">,</span> <span class="n">y1</span><span class="p">))</span>
</pre></div>
</div>
</dd></dl>
<dl class="method">
<dt id="matplotlib.backends.backend_agg.RendererAgg.start_filter">
<code class="descname">start_filter</code><span class="sig-paren">(</span><em>self</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/backends/backend_agg.html#RendererAgg.start_filter"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.backends.backend_agg.RendererAgg.start_filter" title="Permalink to this definition">¶</a></dt>
<dd><p>Start filtering. It simply create a new canvas (the old one is saved).</p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.backends.backend_agg.RendererAgg.stop_filter">
<code class="descname">stop_filter</code><span class="sig-paren">(</span><em>self</em>, <em>post_processing</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/backends/backend_agg.html#RendererAgg.stop_filter"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.backends.backend_agg.RendererAgg.stop_filter" title="Permalink to this definition">¶</a></dt>
<dd><p>Save the plot in the current canvas as a image and apply
the <em>post_processing</em> function.</p>
<blockquote>
<div><dl class="docutils">
<dt>def post_processing(image, dpi):</dt>
<dd># ny, nx, depth = image.shape
# image (numpy array) has RGBA channels and has a depth of 4.
...
# create a new_image (numpy array of 4 channels, size can be
# different). The resulting image may have offsets from
# lower-left corner of the original image
return new_image, offset_x, offset_y</dd>
</dl>
</div></blockquote>
<p>The saved renderer is restored and the returned image from
post_processing is plotted (using draw_image) on it.</p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.backends.backend_agg.RendererAgg.tostring_argb">
<code class="descname">tostring_argb</code><span class="sig-paren">(</span><em>self</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/backends/backend_agg.html#RendererAgg.tostring_argb"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.backends.backend_agg.RendererAgg.tostring_argb" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="matplotlib.backends.backend_agg.RendererAgg.tostring_rgb">
<code class="descname">tostring_rgb</code><span class="sig-paren">(</span><em>self</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/backends/backend_agg.html#RendererAgg.tostring_rgb"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.backends.backend_agg.RendererAgg.tostring_rgb" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="matplotlib.backends.backend_agg.RendererAgg.tostring_rgba_minimized">
<code class="descname">tostring_rgba_minimized</code><span class="sig-paren">(</span><em>self</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/backends/backend_agg.html#RendererAgg.tostring_rgba_minimized"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.backends.backend_agg.RendererAgg.tostring_rgba_minimized" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="function">
<dt id="matplotlib.backends.backend_agg.get_hinting_flag">
<code class="descclassname">matplotlib.backends.backend_agg.</code><code class="descname">get_hinting_flag</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/backends/backend_agg.html#get_hinting_flag"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.backends.backend_agg.get_hinting_flag" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
</div>
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