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api/afm_api.html

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&copy; Copyright 2002 - 2012 John Hunter, Darren Dale, Eric Firing, Michael Droettboom and the matplotlib development team; 2012 - 2014 The matplotlib development team.
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api/animation_api.html

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&copy; Copyright 2002 - 2012 John Hunter, Darren Dale, Eric Firing, Michael Droettboom and the matplotlib development team; 2012 - 2014 The matplotlib development team.
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api/api_changes.html

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&copy; Copyright 2002 - 2012 John Hunter, Darren Dale, Eric Firing, Michael Droettboom and the matplotlib development team; 2012 - 2014 The matplotlib development team.
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api/artist_api.html

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api/axes_api.html

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<code class="descname">cohere</code><span class="sig-paren">(</span><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 0x7fd543b15c08&gt;</em>, <em>window=&lt;function window_hanning at 0x7fd543b15938&gt;</em>, <em>noverlap=0</em>, <em>pad_to=None</em>, <em>sides=u'default'</em>, <em>scale_by_freq=None</em>, <em>**kwargs</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.axes.Axes.cohere" title="Permalink to this definition">¶</a></dt>
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<code class="descname">cohere</code><span class="sig-paren">(</span><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 0x7f5032f23c08&gt;</em>, <em>window=&lt;function window_hanning at 0x7f5032f23938&gt;</em>, <em>noverlap=0</em>, <em>pad_to=None</em>, <em>sides=u'default'</em>, <em>scale_by_freq=None</em>, <em>**kwargs</em><span class="sig-paren">)</span><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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<code class="descname">hexbin</code><span class="sig-paren">(</span><em>x</em>, <em>y</em>, <em>C=None</em>, <em>gridsize=100</em>, <em>bins=None</em>, <em>xscale=u'linear'</em>, <em>yscale=u'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=u'none'</em>, <em>reduce_C_function=&lt;function mean at 0x7fd5471666e0&gt;</em>, <em>mincnt=None</em>, <em>marginals=False</em>, <em>**kwargs</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.axes.Axes.hexbin" title="Permalink to this definition">¶</a></dt>
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<code class="descname">hexbin</code><span class="sig-paren">(</span><em>x</em>, <em>y</em>, <em>C=None</em>, <em>gridsize=100</em>, <em>bins=None</em>, <em>xscale=u'linear'</em>, <em>yscale=u'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=u'none'</em>, <em>reduce_C_function=&lt;function mean at 0x7f50365766e0&gt;</em>, <em>mincnt=None</em>, <em>marginals=False</em>, <em>**kwargs</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.axes.Axes.hexbin" title="Permalink to this definition">¶</a></dt>
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<code class="descname">xcorr</code><span class="sig-paren">(</span><em>x</em>, <em>y</em>, <em>normed=True</em>, <em>detrend=&lt;function detrend_none at 0x7fd543b15c08&gt;</em>, <em>usevlines=True</em>, <em>maxlags=10</em>, <em>**kwargs</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.axes.Axes.xcorr" title="Permalink to this definition">¶</a></dt>
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<code class="descname">xcorr</code><span class="sig-paren">(</span><em>x</em>, <em>y</em>, <em>normed=True</em>, <em>detrend=&lt;function detrend_none at 0x7f5032f23c08&gt;</em>, <em>usevlines=True</em>, <em>maxlags=10</em>, <em>**kwargs</em><span class="sig-paren">)</span><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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&copy; Copyright 2002 - 2012 John Hunter, Darren Dale, Eric Firing, Michael Droettboom and the matplotlib development team; 2012 - 2014 The matplotlib development team.
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api/axis_api.html

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api/backend_bases_api.html

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&copy; Copyright 2002 - 2012 John Hunter, Darren Dale, Eric Firing, Michael Droettboom and the matplotlib development team; 2012 - 2014 The matplotlib development team.
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api/backend_gtkagg_api.html

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api/backend_pdf_api.html

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api/backend_qt4agg_api.html

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