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<div id="unreleased-message"> You are reading an old version of the documentation (v2.2.4). 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><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 an RGBA 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><strong>bytes</strong></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>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><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>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>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_jpeg" title="Permalink to this definition">¶</a></dt>
<dd><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">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
95 (best). The default is 95, if not given in the
matplotlibrc file in the savefig.jpeg_quality parameter.
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>
</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>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_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><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">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
95 (best). The default is 95, if not given in the
matplotlibrc file in the savefig.jpeg_quality parameter.
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>
</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>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_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></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>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>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>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_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>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_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><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>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><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><strong>bytes</strong></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><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><strong>bytes</strong></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><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><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="attribute">
<dt id="matplotlib.backends.backend_agg.RendererAgg.debug">
<code class="descname">debug</code><a class="headerlink" href="#matplotlib.backends.backend_agg.RendererAgg.debug" title="Permalink to this definition">¶</a></dt>
<dd><div class="deprecated">
<p><span class="versionmodified">Deprecated since version 2.2: </span>The debug function was deprecated in version 2.2.</p>
</div>
<p></p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.backends.backend_agg.RendererAgg.draw_markers">
<code class="descname">draw_markers</code><span class="sig-paren">(</span><em>*kl</em>, <em>**kw</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/backends/backend_agg.html#RendererAgg.draw_markers"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.backends.backend_agg.RendererAgg.draw_markers" title="Permalink to this definition">¶</a></dt>
<dd><p>Draws a marker at each of the vertices in path. This includes
all vertices, including control points on curves. To avoid
that behavior, those vertices should be removed before calling
this function.</p>
<p>This provides a fallback implementation of draw_markers that
makes multiple calls to <a class="reference internal" href="#matplotlib.backends.backend_agg.RendererAgg.draw_path" title="matplotlib.backends.backend_agg.RendererAgg.draw_path"><code class="xref py py-meth docutils literal notranslate"><span class="pre">draw_path()</span></code></a>. Some backends may
want to override this method in order to draw the marker only
once and reuse it multiple times.</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>marker_trans</strong> <span class="classifier-delimiter">:</span> <span class="classifier"><a class="reference internal" href="transformations.html#matplotlib.transforms.Transform" title="matplotlib.transforms.Transform"><code class="xref py py-obj docutils literal notranslate"><span class="pre">matplotlib.transforms.Transform</span></code></a></span></dt>
<dd><p class="first last">An affine transform applied to the marker.</p>
</dd>
<dt><strong>trans</strong> <span class="classifier-delimiter">:</span> <span class="classifier"><a class="reference internal" href="transformations.html#matplotlib.transforms.Transform" title="matplotlib.transforms.Transform"><code class="xref py py-obj docutils literal notranslate"><span class="pre">matplotlib.transforms.Transform</span></code></a></span></dt>
<dd><p class="first last">An affine transform applied to the path.</p>
</dd>
</dl>
</td>
</tr>
</tbody>
</table>
</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>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>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>Draw the path</p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.backends.backend_agg.RendererAgg.draw_path_collection">
<code class="descname">draw_path_collection</code><span class="sig-paren">(</span><em>*kl</em>, <em>**kw</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/backends/backend_agg.html#RendererAgg.draw_path_collection"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.backends.backend_agg.RendererAgg.draw_path_collection" title="Permalink to this definition">¶</a></dt>
<dd><p>Draws a collection of paths selecting drawing properties from
the lists <em>facecolors</em>, <em>edgecolors</em>, <em>linewidths</em>,
<em>linestyles</em> and <em>antialiaseds</em>. <em>offsets</em> is a list of
offsets to apply to each of the paths. The offsets in
<em>offsets</em> are first transformed by <em>offsetTrans</em> before being
applied. <em>offset_position</em> may be either "screen" or "data"
depending on the space that the offsets are in.</p>
<p>This provides a fallback implementation of
<a class="reference internal" href="#matplotlib.backends.backend_agg.RendererAgg.draw_path_collection" title="matplotlib.backends.backend_agg.RendererAgg.draw_path_collection"><code class="xref py py-meth docutils literal notranslate"><span class="pre">draw_path_collection()</span></code></a> that makes multiple calls to
<a class="reference internal" href="#matplotlib.backends.backend_agg.RendererAgg.draw_path" title="matplotlib.backends.backend_agg.RendererAgg.draw_path"><code class="xref py py-meth docutils literal notranslate"><span class="pre">draw_path()</span></code></a>. Some backends may want to override this in
order to render each set of path data only once, and then
reference that path multiple times with the different offsets,
colors, styles etc. The generator methods
<code class="xref py py-meth docutils literal notranslate"><span class="pre">_iter_collection_raw_paths()</span></code> and
<code class="xref py py-meth docutils literal notranslate"><span class="pre">_iter_collection()</span></code> are provided to help with (and
standardize) the implementation across backends. It is highly
recommended to use those generators, so that changes to the
behavior of <a class="reference internal" href="#matplotlib.backends.backend_agg.RendererAgg.draw_path_collection" title="matplotlib.backends.backend_agg.RendererAgg.draw_path_collection"><code class="xref py py-meth docutils literal notranslate"><span class="pre">draw_path_collection()</span></code></a> can be made globally.</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>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>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>Render the 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><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>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><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>override this method for renderers that do not necessarily always
want to rescale and composite raster images. (like SVG, PDF, or PS)</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><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>agg backend doesn't support arbitrary scaling of image.</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>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 point measures to pixes using dpi and the pixels per
inch of the display</p>
</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>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 tuple of two floasts) 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><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>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><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><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><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>
</div>
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