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<div id="unreleased-message"> You are reading an old version of the documentation (v3.3.0). 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 <a class="reference external" href="http://antigrain.com/">agg</a> backend.</p>
<p>Features that are implemented:</p>
<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 Pillow-supported image formats</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>
<p>TODO:</p>
<ul class="simple">
<li>integrate screen dpi w/ ppi and text</li>
</ul>
<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>
<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 <a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#memoryview" title="(in Python v3.8)"><code class="xref py py-obj docutils literal notranslate"><span class="pre">memoryview</span></code></a> 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>
</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>Render the <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">Figure</span></code></a>.</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=<deprecated parameter></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">str or path-like or file-like</span></dt><dd><p>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">int, default: <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: <code class="docutils literal notranslate"><span class="pre">95</span></code>)</span></dt><dd><p>The image quality, on a scale from 1 (worst) to 95 (best).
Values above 95 should be avoided; 100 disables portions of
the JPEG compression algorithm, and results in large files
with hardly any gain in image quality. This parameter is
deprecated.</p>
</dd>
<dt><strong>optimize</strong><span class="classifier">bool, default: False</span></dt><dd><p>Whether the encoder should make an extra pass over the image
in order to select optimal encoder settings. This parameter is
deprecated.</p>
</dd>
<dt><strong>progressive</strong><span class="classifier">bool, default: False</span></dt><dd><p>Whether the image should be stored as a progressive JPEG file.
This parameter is deprecated.</p>
</dd>
<dt><strong>pil_kwargs</strong><span class="classifier">dict, optional</span></dt><dd><p>Additional keyword arguments that are passed to
<a class="reference external" href="https://pillow.readthedocs.io/en/stable/reference/Image.html#PIL.Image.Image.save" title="(in Pillow (PIL Fork) v7.2.0)"><code class="xref py py-obj docutils literal notranslate"><span class="pre">PIL.Image.Image.save</span></code></a> 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=<deprecated parameter></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">str or path-like or file-like</span></dt><dd><p>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">int, default: <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: <code class="docutils literal notranslate"><span class="pre">95</span></code>)</span></dt><dd><p>The image quality, on a scale from 1 (worst) to 95 (best).
Values above 95 should be avoided; 100 disables portions of
the JPEG compression algorithm, and results in large files
with hardly any gain in image quality. This parameter is
deprecated.</p>
</dd>
<dt><strong>optimize</strong><span class="classifier">bool, default: False</span></dt><dd><p>Whether the encoder should make an extra pass over the image
in order to select optimal encoder settings. This parameter is
deprecated.</p>
</dd>
<dt><strong>progressive</strong><span class="classifier">bool, default: False</span></dt><dd><p>Whether the image should be stored as a progressive JPEG file.
This parameter is deprecated.</p>
</dd>
<dt><strong>pil_kwargs</strong><span class="classifier">dict, optional</span></dt><dd><p>Additional keyword arguments that are passed to
<a class="reference external" href="https://pillow.readthedocs.io/en/stable/reference/Image.html#PIL.Image.Image.save" title="(in Pillow (PIL Fork) v7.2.0)"><code class="xref py py-obj docutils literal notranslate"><span class="pre">PIL.Image.Image.save</span></code></a> 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><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">str or path-like or file-like</span></dt><dd><p>The file to write to.</p>
</dd>
<dt><strong>metadata</strong><span class="classifier">dict, optional</span></dt><dd><p>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. This can be removed by setting it to <em>None</em>.</p>
<p>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">dict, optional</span></dt><dd><p>Keyword arguments passed to <a class="reference external" href="https://pillow.readthedocs.io/en/stable/reference/Image.html#PIL.Image.Image.save" title="(in Pillow (PIL Fork) v7.2.0)"><code class="xref py py-obj docutils literal notranslate"><span class="pre">PIL.Image.Image.save</span></code></a>.</p>
<p>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><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><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>*</em>, <em>dryrun=<deprecated parameter></em>, <em>pil_kwargs=None</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>*</em>, <em>dryrun=<deprecated parameter></em>, <em>pil_kwargs=None</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 ARGB <a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#bytes" title="(in Python v3.8)"><code class="xref py py-obj docutils literal notranslate"><span class="pre">bytes</span></code></a>.</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>
</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 RGB <a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#bytes" title="(in Python v3.8)"><code class="xref py py-obj docutils literal notranslate"><span class="pre">bytes</span></code></a>.</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>
</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 mathtext using <a class="reference internal" href="mathtext_api.html#module-matplotlib.mathtext" title="matplotlib.mathtext"><code class="xref py py-mod docutils literal notranslate"><span class="pre">matplotlib.mathtext</span></code></a>.</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>Draw a <a class="reference internal" href="path_api.html#matplotlib.path.Path" title="matplotlib.path.Path"><code class="xref py py-obj 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_path_collection">
<code class="descname">draw_path_collection</code><span class="sig-paren">(</span><em>self</em>, <em>gc</em>, <em>master_transform</em>, <em>paths</em>, <em>all_transforms</em>, <em>offsets</em>, <em>offsetTrans</em>, <em>facecolors</em>, <em>edgecolors</em>, <em>linewidths</em>, <em>linestyles</em>, <em>antialiaseds</em>, <em>urls</em>, <em>offset_position</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>Draw 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.</p>
<p><em>offset_position</em> may be either "screen" or "data" depending on the
space that the offsets are in; "data" is deprecated.</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>self</em>, <em>gc</em>, <em>x</em>, <em>y</em>, <em>s</em>, <em>prop</em>, <em>angle</em>, <em>ismath=<deprecated parameter></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"><a class="reference internal" href="backend_bases_api.html#matplotlib.backend_bases.GraphicsContextBase" title="matplotlib.backend_bases.GraphicsContextBase"><code class="xref py py-obj docutils literal notranslate"><span class="pre">GraphicsContextBase</span></code></a></span></dt><dd><p>The graphics context.</p>
</dd>
<dt><strong>x</strong><span class="classifier">float</span></dt><dd><p>The x location of the text in display coords.</p>
</dd>
<dt><strong>y</strong><span class="classifier">float</span></dt><dd><p>The y location of the text baseline in display coords.</p>
</dd>
<dt><strong>s</strong><span class="classifier">str</span></dt><dd><p>The text string.</p>
</dd>
<dt><strong>prop</strong><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>The font properties.</p>
</dd>
<dt><strong>angle</strong><span class="classifier">float</span></dt><dd><p>The rotation angle in degrees anti-clockwise.</p>
</dd>
<dt><strong>mtext</strong><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>The original text object to be rendered.</p>
</dd>
</dl>
</td>
</tr>
</tbody>
</table>
<p class="rubric">Notes</p>
<p><strong>Note for backend implementers:</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-obj 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="mi">72</span> <span class="o">*</span> <span class="n">dpi</span><span class="o">/</span><span class="mi">72</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">float or array-like</span></dt><dd><p>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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