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<div class="section" id="module-matplotlib.backends.backend_template">
<span id="matplotlib-backends-backend-template"></span><h1><a class="reference internal" href="#module-matplotlib.backends.backend_template" title="matplotlib.backends.backend_template"><code class="xref py py-mod docutils literal notranslate"><span class="pre">matplotlib.backends.backend_template</span></code></a><a class="headerlink" href="#module-matplotlib.backends.backend_template" title="Permalink to this headline">¶</a></h1>
<p>A fully functional, do-nothing backend intended as a template for backend
writers. It is fully functional in that you can select it as a backend e.g.
with</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">matplotlib</span>
<span class="n">matplotlib</span><span class="o">.</span><span class="n">use</span><span class="p">(</span><span class="s2">"template"</span><span class="p">)</span>
</pre></div>
</div>
<p>and your program will (should!) run without error, though no output is
produced. This provides a starting point for backend writers; you can
selectively implement drawing methods (<a class="reference internal" href="#matplotlib.backends.backend_template.RendererTemplate.draw_path" title="matplotlib.backends.backend_template.RendererTemplate.draw_path"><code class="xref py py-obj docutils literal notranslate"><span class="pre">draw_path</span></code></a>,
<a class="reference internal" href="#matplotlib.backends.backend_template.RendererTemplate.draw_image" title="matplotlib.backends.backend_template.RendererTemplate.draw_image"><code class="xref py py-obj docutils literal notranslate"><span class="pre">draw_image</span></code></a>, etc.) and slowly see your figure come to life
instead having to have a full blown implementation before getting any results.</p>
<p>Copy this file to a directory outside of the Matplotlib source tree, somewhere
where Python can import it (by adding the directory to your <code class="docutils literal notranslate"><span class="pre">sys.path</span></code> or by
packaging it as a normal Python package); if the backend is importable as
<code class="docutils literal notranslate"><span class="pre">import</span> <span class="pre">my.backend</span></code> you can then select it using</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">matplotlib</span>
<span class="n">matplotlib</span><span class="o">.</span><span class="n">use</span><span class="p">(</span><span class="s2">"module://my.backend"</span><span class="p">)</span>
</pre></div>
</div>
<p>If your backend implements support for saving figures (i.e. has a <code class="xref py py-obj docutils literal notranslate"><span class="pre">print_xyz</span></code>
method), you can register it as the default handler for a given file type:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span> <span class="nn">matplotlib.backend_bases</span> <span class="kn">import</span> <span class="n">register_backend</span>
<span class="n">register_backend</span><span class="p">(</span><span class="s1">'xyz'</span><span class="p">,</span> <span class="s1">'my_backend'</span><span class="p">,</span> <span class="s1">'XYZ File Format'</span><span class="p">)</span>
<span class="o">...</span>
<span class="n">plt</span><span class="o">.</span><span class="n">savefig</span><span class="p">(</span><span class="s2">"figure.xyz"</span><span class="p">)</span>
</pre></div>
</div>
<dl class="py attribute">
<dt id="matplotlib.backends.backend_template.FigureCanvas">
<code class="descclassname">matplotlib.backends.backend_template.</code><code class="descname">FigureCanvas</code><a class="headerlink" href="#matplotlib.backends.backend_template.FigureCanvas" title="Permalink to this definition">¶</a></dt>
<dd><p>alias of <a class="reference internal" href="#matplotlib.backends.backend_template.FigureCanvasTemplate" title="matplotlib.backends.backend_template.FigureCanvasTemplate"><code class="xref py py-class docutils literal notranslate"><span class="pre">matplotlib.backends.backend_template.FigureCanvasTemplate</span></code></a></p>
</dd></dl>
<dl class="py class">
<dt id="matplotlib.backends.backend_template.FigureCanvasTemplate">
<em class="property">class </em><code class="descclassname">matplotlib.backends.backend_template.</code><code class="descname">FigureCanvasTemplate</code><span class="sig-paren">(</span><em><span class="n">figure</span><span class="o">=</span><span class="default_value">None</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/backends/backend_template.html#FigureCanvasTemplate"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.backends.backend_template.FigureCanvasTemplate" 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>
<p>Note: GUI templates will want to connect events for button presses,
mouse movements and key presses to functions that call the base
class methods button_press_event, button_release_event,
motion_notify_event, key_press_event, and key_release_event. See the
implementations of the interactive backends for examples.</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"><a class="reference internal" href="figure_api.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>A high-level Figure instance</p>
</dd>
</dl>
</td>
</tr>
</tbody>
</table>
<dl class="py method">
<dt id="matplotlib.backends.backend_template.FigureCanvasTemplate.draw">
<code class="descname">draw</code><span class="sig-paren">(</span><em><span class="n">self</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/backends/backend_template.html#FigureCanvasTemplate.draw"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.backends.backend_template.FigureCanvasTemplate.draw" title="Permalink to this definition">¶</a></dt>
<dd><p>Draw the figure using the renderer.</p>
<p>It is important that this method actually walk the artist tree
even if not output is produced because this will trigger
deferred work (like computing limits auto-limits and tick
values) that users may want access to before saving to disk.</p>
</dd></dl>
<dl class="py attribute">
<dt id="matplotlib.backends.backend_template.FigureCanvasTemplate.filetypes">
<code class="descname">filetypes</code><em class="property"> = {'eps': 'Encapsulated Postscript', 'foo': 'My magic Foo format', 'jpeg': 'Joint Photographic Experts Group', 'jpg': 'Joint Photographic Experts Group', 'pdf': 'Portable Document Format', 'pgf': 'PGF code for LaTeX', 'png': 'Portable Network Graphics', 'ps': 'Postscript', 'raw': 'Raw RGBA bitmap', 'rgba': 'Raw RGBA bitmap', 'svg': 'Scalable Vector Graphics', 'svgz': 'Scalable Vector Graphics', 'tif': 'Tagged Image File Format', 'tiff': 'Tagged Image File Format'}</em><a class="headerlink" href="#matplotlib.backends.backend_template.FigureCanvasTemplate.filetypes" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="matplotlib.backends.backend_template.FigureCanvasTemplate.get_default_filetype">
<code class="descname">get_default_filetype</code><span class="sig-paren">(</span><em><span class="n">self</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/backends/backend_template.html#FigureCanvasTemplate.get_default_filetype"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.backends.backend_template.FigureCanvasTemplate.get_default_filetype" title="Permalink to this definition">¶</a></dt>
<dd><p>Return the default savefig file format as specified in
<code class="docutils literal notranslate"><a class="reference external" href="../tutorials/introductory/customizing.html?highlight=savefig.format#a-sample-matplotlibrc-file"><span class="pre">rcParams["savefig.format"]</span></a></code> (default: <code class="docutils literal notranslate"><span class="pre">'png'</span></code>).</p>
<p>The returned string does not include a period. This method is
overridden in backends that only support a single file type.</p>
</dd></dl>
<dl class="py method">
<dt id="matplotlib.backends.backend_template.FigureCanvasTemplate.print_foo">
<code class="descname">print_foo</code><span class="sig-paren">(</span><em><span class="n">self</span></em>, <em><span class="n">filename</span></em>, <em><span class="o">*</span><span class="n">args</span></em>, <em><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/backends/backend_template.html#FigureCanvasTemplate.print_foo"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.backends.backend_template.FigureCanvasTemplate.print_foo" title="Permalink to this definition">¶</a></dt>
<dd><p>Write out format foo.</p>
<p>This method is normally called via <a class="reference internal" href="figure_api.html#matplotlib.figure.Figure.savefig" title="matplotlib.figure.Figure.savefig"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Figure.savefig</span></code></a> and
<a class="reference internal" href="backend_bases_api.html#matplotlib.backend_bases.FigureCanvasBase.print_figure" title="matplotlib.backend_bases.FigureCanvasBase.print_figure"><code class="xref py py-obj docutils literal notranslate"><span class="pre">FigureCanvasBase.print_figure</span></code></a>, which take care of setting the figure
facecolor, edgecolor, and dpi to the desired output values, and will
restore them to the original values. Therefore, <a class="reference internal" href="#matplotlib.backends.backend_template.FigureCanvasTemplate.print_foo" title="matplotlib.backends.backend_template.FigureCanvasTemplate.print_foo"><code class="xref py py-obj docutils literal notranslate"><span class="pre">print_foo</span></code></a> does not
need to handle these settings.</p>
</dd></dl>
</dd></dl>
<dl class="py attribute">
<dt id="matplotlib.backends.backend_template.FigureManager">
<code class="descclassname">matplotlib.backends.backend_template.</code><code class="descname">FigureManager</code><a class="headerlink" href="#matplotlib.backends.backend_template.FigureManager" title="Permalink to this definition">¶</a></dt>
<dd><p>alias of <a class="reference internal" href="#matplotlib.backends.backend_template.FigureManagerTemplate" title="matplotlib.backends.backend_template.FigureManagerTemplate"><code class="xref py py-class docutils literal notranslate"><span class="pre">matplotlib.backends.backend_template.FigureManagerTemplate</span></code></a></p>
</dd></dl>
<dl class="py class">
<dt id="matplotlib.backends.backend_template.FigureManagerTemplate">
<em class="property">class </em><code class="descclassname">matplotlib.backends.backend_template.</code><code class="descname">FigureManagerTemplate</code><span class="sig-paren">(</span><em><span class="n">canvas</span></em>, <em><span class="n">num</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/backends/backend_template.html#FigureManagerTemplate"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.backends.backend_template.FigureManagerTemplate" title="Permalink to this definition">¶</a></dt>
<dd><p>Bases: <a class="reference internal" href="backend_bases_api.html#matplotlib.backend_bases.FigureManagerBase" title="matplotlib.backend_bases.FigureManagerBase"><code class="xref py py-class docutils literal notranslate"><span class="pre">matplotlib.backend_bases.FigureManagerBase</span></code></a></p>
<p>Helper class for pyplot mode, wraps everything up into a neat bundle.</p>
<p>For non-interactive backends, the base class is sufficient.</p>
</dd></dl>
<dl class="py class">
<dt id="matplotlib.backends.backend_template.GraphicsContextTemplate">
<em class="property">class </em><code class="descclassname">matplotlib.backends.backend_template.</code><code class="descname">GraphicsContextTemplate</code><a class="reference internal" href="../_modules/matplotlib/backends/backend_template.html#GraphicsContextTemplate"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.backends.backend_template.GraphicsContextTemplate" title="Permalink to this definition">¶</a></dt>
<dd><p>Bases: <a class="reference internal" href="backend_bases_api.html#matplotlib.backend_bases.GraphicsContextBase" title="matplotlib.backend_bases.GraphicsContextBase"><code class="xref py py-class docutils literal notranslate"><span class="pre">matplotlib.backend_bases.GraphicsContextBase</span></code></a></p>
<p>The graphics context provides the color, line styles, etc... See the cairo
and postscript backends for examples of mapping the graphics context
attributes (cap styles, join styles, line widths, colors) to a particular
backend. In cairo this is done by wrapping a cairo.Context object and
forwarding the appropriate calls to it using a dictionary mapping styles
to gdk constants. In Postscript, all the work is done by the renderer,
mapping line styles to postscript calls.</p>
<p>If it's more appropriate to do the mapping at the renderer level (as in
the postscript backend), you don't need to override any of the GC methods.
If it's more appropriate to wrap an instance (as in the cairo backend) and
do the mapping here, you'll need to override several of the setter
methods.</p>
<p>The base GraphicsContext stores colors as a RGB tuple on the unit
interval, e.g., (0.5, 0.0, 1.0). You may need to map this to colors
appropriate for your backend.</p>
</dd></dl>
<dl class="py class">
<dt id="matplotlib.backends.backend_template.RendererTemplate">
<em class="property">class </em><code class="descclassname">matplotlib.backends.backend_template.</code><code class="descname">RendererTemplate</code><span class="sig-paren">(</span><em><span class="n">dpi</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/backends/backend_template.html#RendererTemplate"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.backends.backend_template.RendererTemplate" 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 drawing/rendering operations.</p>
<p>This is a minimal do-nothing class that can be used to get started when
writing a new backend. Refer to <code class="xref py py-obj docutils literal notranslate"><span class="pre">backend_bases.RendererBase</span></code> for
documentation of the methods.</p>
<dl class="py method">
<dt id="matplotlib.backends.backend_template.RendererTemplate.draw_image">
<code class="descname">draw_image</code><span class="sig-paren">(</span><em><span class="n">self</span></em>, <em><span class="n">gc</span></em>, <em><span class="n">x</span></em>, <em><span class="n">y</span></em>, <em><span class="n">im</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/backends/backend_template.html#RendererTemplate.draw_image"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.backends.backend_template.RendererTemplate.draw_image" title="Permalink to this definition">¶</a></dt>
<dd><p>Draw an RGBA image.</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>A graphics context with clipping information.</p>
</dd>
<dt><strong>x</strong><span class="classifier">scalar</span></dt><dd><p>The distance in physical units (i.e., dots or pixels) from the left
hand side of the canvas.</p>
</dd>
<dt><strong>y</strong><span class="classifier">scalar</span></dt><dd><p>The distance in physical units (i.e., dots or pixels) from the
bottom side of the canvas.</p>
</dd>
<dt><strong>im</strong><span class="classifier">(N, M, 4) array-like of np.uint8</span></dt><dd><p>An array of RGBA pixels.</p>
</dd>
<dt><strong>transform</strong><span class="classifier"><a class="reference internal" href="transformations.html#matplotlib.transforms.Affine2DBase" title="matplotlib.transforms.Affine2DBase"><code class="xref py py-obj docutils literal notranslate"><span class="pre">matplotlib.transforms.Affine2DBase</span></code></a></span></dt><dd><p>If and only if the concrete backend is written such that
<code class="xref py py-meth docutils literal notranslate"><span class="pre">option_scale_image()</span></code> returns <code class="docutils literal notranslate"><span class="pre">True</span></code>, an affine
transformation (i.e., an <a class="reference internal" href="transformations.html#matplotlib.transforms.Affine2DBase" title="matplotlib.transforms.Affine2DBase"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Affine2DBase</span></code></a>) <em>may</em> be passed to
<a class="reference internal" href="#matplotlib.backends.backend_template.RendererTemplate.draw_image" title="matplotlib.backends.backend_template.RendererTemplate.draw_image"><code class="xref py py-meth docutils literal notranslate"><span class="pre">draw_image()</span></code></a>. The translation vector of the transformation
is given in physical units (i.e., dots or pixels). Note that
the transformation does not override <em>x</em> and <em>y</em>, and has to be
applied <em>before</em> translating the result by <em>x</em> and <em>y</em> (this can
be accomplished by adding <em>x</em> and <em>y</em> to the translation vector
defined by <em>transform</em>).</p>
</dd>
</dl>
</td>
</tr>
</tbody>
</table>
</dd></dl>
<dl class="py method">
<dt id="matplotlib.backends.backend_template.RendererTemplate.draw_path">
<code class="descname">draw_path</code><span class="sig-paren">(</span><em><span class="n">self</span></em>, <em><span class="n">gc</span></em>, <em><span class="n">path</span></em>, <em><span class="n">transform</span></em>, <em><span class="n">rgbFace</span><span class="o">=</span><span class="default_value">None</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/backends/backend_template.html#RendererTemplate.draw_path"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.backends.backend_template.RendererTemplate.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="py method">
<dt id="matplotlib.backends.backend_template.RendererTemplate.draw_text">
<code class="descname">draw_text</code><span class="sig-paren">(</span><em><span class="n">self</span></em>, <em><span class="n">gc</span></em>, <em><span class="n">x</span></em>, <em><span class="n">y</span></em>, <em><span class="n">s</span></em>, <em><span class="n">prop</span></em>, <em><span class="n">angle</span></em>, <em><span class="n">ismath</span><span class="o">=</span><span class="default_value">False</span></em>, <em><span class="n">mtext</span><span class="o">=</span><span class="default_value">None</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/backends/backend_template.html#RendererTemplate.draw_text"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.backends.backend_template.RendererTemplate.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="py method">
<dt id="matplotlib.backends.backend_template.RendererTemplate.flipy">
<code class="descname">flipy</code><span class="sig-paren">(</span><em><span class="n">self</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/backends/backend_template.html#RendererTemplate.flipy"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.backends.backend_template.RendererTemplate.flipy" title="Permalink to this definition">¶</a></dt>
<dd><p>Return whether y values increase from top to bottom.</p>
<p>Note that this only affects drawing of texts and images.</p>
</dd></dl>
<dl class="py method">
<dt id="matplotlib.backends.backend_template.RendererTemplate.get_canvas_width_height">
<code class="descname">get_canvas_width_height</code><span class="sig-paren">(</span><em><span class="n">self</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/backends/backend_template.html#RendererTemplate.get_canvas_width_height"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.backends.backend_template.RendererTemplate.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="py method">
<dt id="matplotlib.backends.backend_template.RendererTemplate.get_text_width_height_descent">
<code class="descname">get_text_width_height_descent</code><span class="sig-paren">(</span><em><span class="n">self</span></em>, <em><span class="n">s</span></em>, <em><span class="n">prop</span></em>, <em><span class="n">ismath</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/backends/backend_template.html#RendererTemplate.get_text_width_height_descent"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.backends.backend_template.RendererTemplate.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="py method">
<dt id="matplotlib.backends.backend_template.RendererTemplate.new_gc">
<code class="descname">new_gc</code><span class="sig-paren">(</span><em><span class="n">self</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/backends/backend_template.html#RendererTemplate.new_gc"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.backends.backend_template.RendererTemplate.new_gc" title="Permalink to this definition">¶</a></dt>
<dd><p>Return an instance of a <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>.</p>
</dd></dl>
<dl class="py method">
<dt id="matplotlib.backends.backend_template.RendererTemplate.points_to_pixels">
<code class="descname">points_to_pixels</code><span class="sig-paren">(</span><em><span class="n">self</span></em>, <em><span class="n">points</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/backends/backend_template.html#RendererTemplate.points_to_pixels"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.backends.backend_template.RendererTemplate.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>
</dd></dl>
<dl class="py function">
<dt id="matplotlib.backends.backend_template.draw_if_interactive">
<code class="descclassname">matplotlib.backends.backend_template.</code><code class="descname">draw_if_interactive</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/backends/backend_template.html#draw_if_interactive"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.backends.backend_template.draw_if_interactive" title="Permalink to this definition">¶</a></dt>
<dd><p>For image backends - is not required.
For GUI backends - this should be overridden if drawing should be done in
interactive python mode.</p>
</dd></dl>
<dl class="py function">
<dt id="matplotlib.backends.backend_template.new_figure_manager">
<code class="descclassname">matplotlib.backends.backend_template.</code><code class="descname">new_figure_manager</code><span class="sig-paren">(</span><em>num</em>, <em>*args</em>, <em>FigureClass=<class 'matplotlib.figure.Figure'></em>, <em>**kwargs</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/backends/backend_template.html#new_figure_manager"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.backends.backend_template.new_figure_manager" title="Permalink to this definition">¶</a></dt>
<dd><p>Create a new figure manager instance.</p>
</dd></dl>
<dl class="py function">
<dt id="matplotlib.backends.backend_template.new_figure_manager_given_figure">
<code class="descclassname">matplotlib.backends.backend_template.</code><code class="descname">new_figure_manager_given_figure</code><span class="sig-paren">(</span><em><span class="n">num</span></em>, <em><span class="n">figure</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/backends/backend_template.html#new_figure_manager_given_figure"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.backends.backend_template.new_figure_manager_given_figure" title="Permalink to this definition">¶</a></dt>
<dd><p>Create a new figure manager instance for the given figure.</p>
</dd></dl>
<dl class="py function">
<dt id="matplotlib.backends.backend_template.show">
<code class="descclassname">matplotlib.backends.backend_template.</code><code class="descname">show</code><span class="sig-paren">(</span><em><span class="o">*</span></em>, <em><span class="n">block</span><span class="o">=</span><span class="default_value">None</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/backends/backend_template.html#show"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.backends.backend_template.show" title="Permalink to this definition">¶</a></dt>
<dd><p>For image backends - is not required.
For GUI backends - show() is usually the last line of a pyplot script and
tells the backend that it is time to draw. In interactive mode, this
should do nothing.</p>
</dd></dl>
</div>
</div>
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