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Update for matplotlib/matplotlib/#1478
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‎_images/boxplot_demo_00.png

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‎_static/matplotlibrc

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# You can also deploy your own backend outside of matplotlib by
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# referring to the module name (which must be in the PYTHONPATH) as
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# 'module://my_backend'
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backend : TkAgg
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backend : GTKAgg
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# If you are using the Qt4Agg backend, you can choose here
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# to use the PyQt4 bindings or the newer PySide bindings to
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#keymap.xscale : L, k # toggle scaling of x-axes ('log'/'linear')
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#keymap.all_axes : a # enable all axes
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# Control location of examples data files
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#examples.directory : '' # directory to look in for custom installation
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###ANIMATION settings
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#animation.writer : ffmpeg # MovieWriter 'backend' to use
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#animation.codec : mp4 # Codec to use for writing movie

‎api/afm_api.html

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Created using <a href="http://sphinx.pocoo.org/">Sphinx</a> 1.1.3.
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‎api/api_changes.html

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‎api/artist_api.html

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‎api/axes_api.html

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<dt id="matplotlib.axes.Axes.cohere">
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<tt class="descname">cohere</tt><big>(</big><em>x</em>, <em>y</em>, <em>NFFT=256</em>, <em>Fs=2</em>, <em>Fc=0</em>, <em>detrend=&lt;function detrend_none at 0x36f5cf8&gt;</em>, <em>window=&lt;function window_hanning at 0x36f5f50&gt;</em>, <em>noverlap=0</em>, <em>pad_to=None</em>, <em>sides='default'</em>, <em>scale_by_freq=None</em>, <em>**kwargs</em><big>)</big><a class="headerlink" href="#matplotlib.axes.Axes.cohere" title="Permalink to this definition">¶</a></dt>
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<tt class="descname">cohere</tt><big>(</big><em>x</em>, <em>y</em>, <em>NFFT=256</em>, <em>Fs=2</em>, <em>Fc=0</em>, <em>detrend=&lt;function detrend_none at 0x3fefcf8&gt;</em>, <em>window=&lt;function window_hanning at 0x3feff50&gt;</em>, <em>noverlap=0</em>, <em>pad_to=None</em>, <em>sides='default'</em>, <em>scale_by_freq=None</em>, <em>**kwargs</em><big>)</big><a class="headerlink" href="#matplotlib.axes.Axes.cohere" title="Permalink to this definition">¶</a></dt>
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<dd><p>Plot the coherence between <em>x</em> and <em>y</em>.</p>
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<p>Call signature:</p>
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<div class="highlight-python"><div class="highlight"><pre><span class="n">cohere</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span> <span class="n">NFFT</span><span class="o">=</span><span class="mi">256</span><span class="p">,</span> <span class="n">Fs</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span> <span class="n">Fc</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">detrend</span> <span class="o">=</span> <span class="n">mlab</span><span class="o">.</span><span class="n">detrend_none</span><span class="p">,</span>
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<dt id="matplotlib.axes.Axes.csd">
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<tt class="descname">csd</tt><big>(</big><em>x</em>, <em>y</em>, <em>NFFT=256</em>, <em>Fs=2</em>, <em>Fc=0</em>, <em>detrend=&lt;function detrend_none at 0x36f5cf8&gt;</em>, <em>window=&lt;function window_hanning at 0x36f5f50&gt;</em>, <em>noverlap=0</em>, <em>pad_to=None</em>, <em>sides='default'</em>, <em>scale_by_freq=None</em>, <em>**kwargs</em><big>)</big><a class="headerlink" href="#matplotlib.axes.Axes.csd" title="Permalink to this definition">¶</a></dt>
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<tt class="descname">csd</tt><big>(</big><em>x</em>, <em>y</em>, <em>NFFT=256</em>, <em>Fs=2</em>, <em>Fc=0</em>, <em>detrend=&lt;function detrend_none at 0x3fefcf8&gt;</em>, <em>window=&lt;function window_hanning at 0x3feff50&gt;</em>, <em>noverlap=0</em>, <em>pad_to=None</em>, <em>sides='default'</em>, <em>scale_by_freq=None</em>, <em>**kwargs</em><big>)</big><a class="headerlink" href="#matplotlib.axes.Axes.csd" title="Permalink to this definition">¶</a></dt>
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<dd><p>Plot cross-spectral density.</p>
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<p>Call signature:</p>
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<div class="highlight-python"><div class="highlight"><pre><span class="n">csd</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span> <span class="n">NFFT</span><span class="o">=</span><span class="mi">256</span><span class="p">,</span> <span class="n">Fs</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span> <span class="n">Fc</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">detrend</span><span class="o">=</span><span class="n">mlab</span><span class="o">.</span><span class="n">detrend_none</span><span class="p">,</span>
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<tt class="descname">hexbin</tt><big>(</big><em>x</em>, <em>y</em>, <em>C=None</em>, <em>gridsize=100</em>, <em>bins=None</em>, <em>xscale='linear'</em>, <em>yscale='linear'</em>, <em>extent=None</em>, <em>cmap=None</em>, <em>norm=None</em>, <em>vmin=None</em>, <em>vmax=None</em>, <em>alpha=None</em>, <em>linewidths=None</em>, <em>edgecolors='none'</em>, <em>reduce_C_function=&lt;function mean at 0x26e82a8&gt;</em>, <em>mincnt=None</em>, <em>marginals=False</em>, <em>**kwargs</em><big>)</big><a class="headerlink" href="#matplotlib.axes.Axes.hexbin" title="Permalink to this definition">¶</a></dt>
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<tt class="descname">hexbin</tt><big>(</big><em>x</em>, <em>y</em>, <em>C=None</em>, <em>gridsize=100</em>, <em>bins=None</em>, <em>xscale='linear'</em>, <em>yscale='linear'</em>, <em>extent=None</em>, <em>cmap=None</em>, <em>norm=None</em>, <em>vmin=None</em>, <em>vmax=None</em>, <em>alpha=None</em>, <em>linewidths=None</em>, <em>edgecolors='none'</em>, <em>reduce_C_function=&lt;function mean at 0x2f66140&gt;</em>, <em>mincnt=None</em>, <em>marginals=False</em>, <em>**kwargs</em><big>)</big><a class="headerlink" href="#matplotlib.axes.Axes.hexbin" title="Permalink to this definition">¶</a></dt>
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<dd><p>Make a hexagonal binning plot.</p>
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<p>Call signature:</p>
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<div class="highlight-python"><pre>hexbin(x, y, C = None, gridsize = 100, bins = None,
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<tt class="descname">psd</tt><big>(</big><em>x</em>, <em>NFFT=256</em>, <em>Fs=2</em>, <em>Fc=0</em>, <em>detrend=&lt;function detrend_none at 0x36f5cf8&gt;</em>, <em>window=&lt;function window_hanning at 0x36f5f50&gt;</em>, <em>noverlap=0</em>, <em>pad_to=None</em>, <em>sides='default'</em>, <em>scale_by_freq=None</em>, <em>**kwargs</em><big>)</big><a class="headerlink" href="#matplotlib.axes.Axes.psd" title="Permalink to this definition">¶</a></dt>
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<tt class="descname">psd</tt><big>(</big><em>x</em>, <em>NFFT=256</em>, <em>Fs=2</em>, <em>Fc=0</em>, <em>detrend=&lt;function detrend_none at 0x3fefcf8&gt;</em>, <em>window=&lt;function window_hanning at 0x3feff50&gt;</em>, <em>noverlap=0</em>, <em>pad_to=None</em>, <em>sides='default'</em>, <em>scale_by_freq=None</em>, <em>**kwargs</em><big>)</big><a class="headerlink" href="#matplotlib.axes.Axes.psd" title="Permalink to this definition">¶</a></dt>
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<dd><p>Plot the power spectral density.</p>
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<div class="highlight-python"><div class="highlight"><pre><span class="n">psd</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">NFFT</span><span class="o">=</span><span class="mi">256</span><span class="p">,</span> <span class="n">Fs</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span> <span class="n">Fc</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">detrend</span><span class="o">=</span><span class="n">mlab</span><span class="o">.</span><span class="n">detrend_none</span><span class="p">,</span>
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<tt class="descname">specgram</tt><big>(</big><em>x</em>, <em>NFFT=256</em>, <em>Fs=2</em>, <em>Fc=0</em>, <em>detrend=&lt;function detrend_none at 0x36f5cf8&gt;</em>, <em>window=&lt;function window_hanning at 0x36f5f50&gt;</em>, <em>noverlap=128</em>, <em>cmap=None</em>, <em>xextent=None</em>, <em>pad_to=None</em>, <em>sides='default'</em>, <em>scale_by_freq=None</em>, <em>**kwargs</em><big>)</big><a class="headerlink" href="#matplotlib.axes.Axes.specgram" title="Permalink to this definition">¶</a></dt>
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<tt class="descname">specgram</tt><big>(</big><em>x</em>, <em>NFFT=256</em>, <em>Fs=2</em>, <em>Fc=0</em>, <em>detrend=&lt;function detrend_none at 0x3fefcf8&gt;</em>, <em>window=&lt;function window_hanning at 0x3feff50&gt;</em>, <em>noverlap=128</em>, <em>cmap=None</em>, <em>xextent=None</em>, <em>pad_to=None</em>, <em>sides='default'</em>, <em>scale_by_freq=None</em>, <em>**kwargs</em><big>)</big><a class="headerlink" href="#matplotlib.axes.Axes.specgram" title="Permalink to this definition">¶</a></dt>
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<dd><p>Plot a spectrogram.</p>
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<div class="highlight-python"><div class="highlight"><pre><span class="n">specgram</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">NFFT</span><span class="o">=</span><span class="mi">256</span><span class="p">,</span> <span class="n">Fs</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span> <span class="n">Fc</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">detrend</span><span class="o">=</span><span class="n">mlab</span><span class="o">.</span><span class="n">detrend_none</span><span class="p">,</span>
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<tt class="descname">xcorr</tt><big>(</big><em>x</em>, <em>y</em>, <em>normed=True</em>, <em>detrend=&lt;function detrend_none at 0x36f5cf8&gt;</em>, <em>usevlines=True</em>, <em>maxlags=10</em>, <em>**kwargs</em><big>)</big><a class="headerlink" href="#matplotlib.axes.Axes.xcorr" title="Permalink to this definition">¶</a></dt>
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<tt class="descname">xcorr</tt><big>(</big><em>x</em>, <em>y</em>, <em>normed=True</em>, <em>detrend=&lt;function detrend_none at 0x3fefcf8&gt;</em>, <em>usevlines=True</em>, <em>maxlags=10</em>, <em>**kwargs</em><big>)</big><a class="headerlink" href="#matplotlib.axes.Axes.xcorr" title="Permalink to this definition">¶</a></dt>
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<dd><p>Plot the cross correlation between <em>x</em> and <em>y</em>.</p>
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<p>Call signature:</p>
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<div class="highlight-python"><div class="highlight"><pre><span class="n">xcorr</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span> <span class="n">normed</span><span class="o">=</span><span class="bp">True</span><span class="p">,</span> <span class="n">detrend</span><span class="o">=</span><span class="n">mlab</span><span class="o">.</span><span class="n">detrend_none</span><span class="p">,</span>
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&copy; Copyright 2012 John Hunter, Darren Dale, Eric Firing, Michael Droettboom and the matplotlib development team.
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Last updated on Nov 13, 2012.
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Created using <a href="http://sphinx.pocoo.org/">Sphinx</a> 1.1.3.
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