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<li><a class="reference internal" href="#">Module: <tt class="docutils literal"><span class="pre">core.magics.pylab</span></tt></a><ul>
<li><a class="reference internal" href="#class">1 Class</a></li>
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<div class="section" id="module-IPython.core.magics.pylab">
<span id="module-core-magics-pylab"></span><h1>Module: <tt class="xref py py-mod docutils literal"><span class="pre">core.magics.pylab</span></tt><a class="headerlink" href="#module-IPython.core.magics.pylab" title="Permalink to this headline">¶</a></h1>
<p>Implementation of magic functions for matplotlib/pylab support.</p>
<div class="section" id="class">
<h2>1 Class<a class="headerlink" href="#class" title="Permalink to this headline">¶</a></h2>
<dl class="class">
<dt id="IPython.core.magics.pylab.PylabMagics">
<em class="property">class </em><tt class="descclassname">IPython.core.magics.pylab.</tt><tt class="descname">PylabMagics</tt><big>(</big><em>shell=None</em>, <em>**kwargs</em><big>)</big><a class="headerlink" href="#IPython.core.magics.pylab.PylabMagics" title="Permalink to this definition">¶</a></dt>
<dd><p>Bases: <a class="reference internal" href="IPython.core.magic.html#IPython.core.magic.Magics" title="IPython.core.magic.Magics"><tt class="xref py py-class docutils literal"><span class="pre">IPython.core.magic.Magics</span></tt></a></p>
<p>Magics related to matplotlib’s pylab support</p>
<dl class="method">
<dt id="IPython.core.magics.pylab.PylabMagics.matplotlib">
<tt class="descname">matplotlib</tt><big>(</big><em>line=''</em><big>)</big><a class="headerlink" href="#IPython.core.magics.pylab.PylabMagics.matplotlib" title="Permalink to this definition">¶</a></dt>
<dd><div class="highlight-python"><div class="highlight"><pre>%matplotlib [gui]
</pre></div>
</div>
<p>Set up matplotlib to work interactively.</p>
<p>This function lets you activate matplotlib interactive support
at any point during an IPython session. It does not import anything
into the interactive namespace.</p>
<p>If you are using the inline matplotlib backend in the IPython Notebook
you can set which figure formats are enabled using the following:</p>
<div class="highlight-python"><div class="highlight"><pre>In [1]: from IPython.display import set_matplotlib_formats
In [2]: set_matplotlib_formats('pdf', 'svg')
</pre></div>
</div>
<p>See the docstring of <cite>IPython.display.set_matplotlib_formats</cite> and
<cite>IPython.display.set_matplotlib_close</cite> for more information on
changing the behavior of the inline backend.</p>
<p class="rubric">Examples</p>
<p>To enable the inline backend for usage with the IPython Notebook:</p>
<div class="highlight-python"><div class="highlight"><pre>In [1]: %matplotlib inline
</pre></div>
</div>
<p>In this case, where the matplotlib default is TkAgg:</p>
<div class="highlight-python"><div class="highlight"><pre>In [2]: %matplotlib
Using matplotlib backend: TkAgg
</pre></div>
</div>
<p>But you can explicitly request a different GUI backend:</p>
<div class="highlight-python"><div class="highlight"><pre>In [3]: %matplotlib qt
</pre></div>
</div>
<dl class="docutils">
<dt>positional arguments:</dt>
<dd><dl class="first last docutils">
<dt>gui Name of the matplotlib backend to use (‘gtk’, ‘gtk3’, ‘inline’,</dt>
<dd>‘nbagg’, ‘osx’, ‘qt’, ‘qt4’, ‘qt5’, ‘tk’, ‘wx’). If given, the
corresponding matplotlib backend is used, otherwise it will be
matplotlib’s default (which you can set in your matplotlib config
file).</dd>
</dl>
</dd>
</dl>
</dd></dl>
<dl class="method">
<dt id="IPython.core.magics.pylab.PylabMagics.pylab">
<tt class="descname">pylab</tt><big>(</big><em>line=''</em><big>)</big><a class="headerlink" href="#IPython.core.magics.pylab.PylabMagics.pylab" title="Permalink to this definition">¶</a></dt>
<dd><div class="highlight-python"><div class="highlight"><pre>%pylab [--no-import-all] [gui]
</pre></div>
</div>
<p>Load numpy and matplotlib to work interactively.</p>
<p>This function lets you activate pylab (matplotlib, numpy and
interactive support) at any point during an IPython session.</p>
<p>%pylab makes the following imports:</p>
<div class="highlight-python"><div class="highlight"><pre><span class="kn">import</span> <span class="nn">numpy</span>
<span class="kn">import</span> <span class="nn">matplotlib</span>
<span class="kn">from</span> <span class="nn">matplotlib</span> <span class="kn">import</span> <span class="n">pylab</span><span class="p">,</span> <span class="n">mlab</span><span class="p">,</span> <span class="n">pyplot</span>
<span class="n">np</span> <span class="o">=</span> <span class="n">numpy</span>
<span class="n">plt</span> <span class="o">=</span> <span class="n">pyplot</span>
<span class="kn">from</span> <span class="nn">IPython.display</span> <span class="kn">import</span> <span class="n">display</span>
<span class="kn">from</span> <span class="nn">IPython.core.pylabtools</span> <span class="kn">import</span> <span class="n">figsize</span><span class="p">,</span> <span class="n">getfigs</span>
<span class="kn">from</span> <span class="nn">pylab</span> <span class="kn">import</span> <span class="o">*</span>
<span class="kn">from</span> <span class="nn">numpy</span> <span class="kn">import</span> <span class="o">*</span>
</pre></div>
</div>
<p>If you pass <cite>–no-import-all</cite>, the last two <cite>*</cite> imports will be excluded.</p>
<p>See the %matplotlib magic for more details about activating matplotlib
without affecting the interactive namespace.</p>
<dl class="docutils">
<dt>positional arguments:</dt>
<dd><dl class="first last docutils">
<dt>gui Name of the matplotlib backend to use (‘gtk’, ‘gtk3’,</dt>
<dd>‘inline’, ‘nbagg’, ‘osx’, ‘qt’, ‘qt4’, ‘qt5’, ‘tk’, ‘wx’).
If given, the corresponding matplotlib backend is used,
otherwise it will be matplotlib’s default (which you can
set in your matplotlib config file).</dd>
</dl>
</dd>
<dt>optional arguments:</dt>
<dd><table class="first last docutils option-list" frame="void" rules="none">
<col class="option" />
<col class="description" />
<tbody valign="top">
<tr><td class="option-group" colspan="2">
<kbd><span class="option">--no-import-all</span></kbd></td>
</tr>
<tr><td> </td><td>Prevent IPython from performing <tt class="docutils literal"><span class="pre">import</span> <span class="pre">*</span></tt> into the
interactive namespace. You can govern the default behavior
of this flag with the InteractiveShellApp.pylab_import_all
configurable.</td></tr>
</tbody>
</table>
</dd>
</dl>
</dd></dl>
</dd></dl>
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