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<!DOCTYPE html>
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<title>astroML.plotting.multiaxes — astroML 1.0 documentation</title>
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<h1>Source code for astroML.plotting.multiaxes</h1><div class="highlight"><pre>
<span></span><span class="sd">"""</span>
<span class="sd">Multi-panel plotting</span>
<span class="sd">"""</span>
<span class="kn">from</span> <span class="nn">copy</span> <span class="kn">import</span> <span class="n">deepcopy</span>
<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
<div class="viewcode-block" id="MultiAxes"><a class="viewcode-back" href="../../../modules/generated/astroML.plotting.MultiAxes.html#astroML.plotting.MultiAxes">[docs]</a><span class="k">class</span> <span class="nc">MultiAxes</span><span class="p">:</span>
<span class="sd">"""Visualize Multiple-dimensional data</span>
<span class="sd"> This class enables the visualization of multi-dimensional data, using</span>
<span class="sd"> a triangular grid of 2D plots.</span>
<span class="sd"> Parameters</span>
<span class="sd"> ----------</span>
<span class="sd"> ndim : integer</span>
<span class="sd"> Number of data dimensions</span>
<span class="sd"> inner_labels : bool</span>
<span class="sd"> If true, then label the inner axes. If false, then only the outer</span>
<span class="sd"> axes will be labeled</span>
<span class="sd"> fig : matplotlib.Figure</span>
<span class="sd"> if specified, draw the plot on this figure. Otherwise, use the</span>
<span class="sd"> current active figure.</span>
<span class="sd"> left, bottom, right, top, wspace, hspace : floats</span>
<span class="sd"> these parameters control the layout of the plots. They behave have</span>
<span class="sd"> an identical effect as the arguments to plt.subplots_adjust. If not</span>
<span class="sd"> specified, default values from the rc file will be used.</span>
<span class="sd"> Examples</span>
<span class="sd"> --------</span>
<span class="sd"> A grid of scatter plots can be created as follows::</span>
<span class="sd"> x = np.random.normal((4, 1000))</span>
<span class="sd"> R = np.random.random((4, 4)) # projection matrix</span>
<span class="sd"> x = np.dot(R, x)</span>
<span class="sd"> ax = MultiAxes(4)</span>
<span class="sd"> ax.scatter(x)</span>
<span class="sd"> ax.set_labels(['x1', 'x2', 'x3', 'x4'])</span>
<span class="sd"> Alternatively, the scatter plot can be visualized as a density::</span>
<span class="sd"> ax = MultiAxes(4)</span>
<span class="sd"> ax.density(x, bins=[20, 20, 20, 20])</span>
<span class="sd"> """</span>
<div class="viewcode-block" id="MultiAxes.__init__"><a class="viewcode-back" href="../../../modules/generated/astroML.plotting.MultiAxes.html#astroML.plotting.MultiAxes.__init__">[docs]</a> <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">ndim</span><span class="p">,</span> <span class="n">inner_labels</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
<span class="n">fig</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
<span class="n">left</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">bottom</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
<span class="n">right</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">top</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
<span class="n">wspace</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">hspace</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
<span class="c1"># Import here so that testing with Agg will work</span>
<span class="kn">from</span> <span class="nn">matplotlib</span> <span class="kn">import</span> <span class="n">pyplot</span> <span class="k">as</span> <span class="n">plt</span>
<span class="k">if</span> <span class="n">fig</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
<span class="n">fig</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">gcf</span><span class="p">()</span>
<span class="bp">self</span><span class="o">.</span><span class="n">fig</span> <span class="o">=</span> <span class="n">fig</span>
<span class="bp">self</span><span class="o">.</span><span class="n">ndim</span> <span class="o">=</span> <span class="n">ndim</span>
<span class="bp">self</span><span class="o">.</span><span class="n">inner_labels</span> <span class="o">=</span> <span class="n">inner_labels</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_update</span><span class="p">(</span><span class="s1">'left'</span><span class="p">,</span> <span class="n">left</span><span class="p">)</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_update</span><span class="p">(</span><span class="s1">'bottom'</span><span class="p">,</span> <span class="n">bottom</span><span class="p">)</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_update</span><span class="p">(</span><span class="s1">'right'</span><span class="p">,</span> <span class="n">right</span><span class="p">)</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_update</span><span class="p">(</span><span class="s1">'top'</span><span class="p">,</span> <span class="n">top</span><span class="p">)</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_update</span><span class="p">(</span><span class="s1">'wspace'</span><span class="p">,</span> <span class="n">wspace</span><span class="p">)</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_update</span><span class="p">(</span><span class="s1">'hspace'</span><span class="p">,</span> <span class="n">hspace</span><span class="p">)</span>
<span class="bp">self</span><span class="o">.</span><span class="n">axes</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_draw_panels</span><span class="p">()</span></div>
<span class="k">def</span> <span class="nf">_update</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">s</span><span class="p">,</span> <span class="n">val</span><span class="p">):</span>
<span class="c1"># Import here so that testing with Agg will work</span>
<span class="kn">from</span> <span class="nn">matplotlib</span> <span class="kn">import</span> <span class="n">rcParams</span>
<span class="k">if</span> <span class="n">val</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
<span class="n">val</span> <span class="o">=</span> <span class="nb">getattr</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">s</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
<span class="k">if</span> <span class="n">val</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
<span class="n">key</span> <span class="o">=</span> <span class="s1">'figure.subplot.'</span> <span class="o">+</span> <span class="n">s</span>
<span class="n">val</span> <span class="o">=</span> <span class="n">rcParams</span><span class="p">[</span><span class="n">key</span><span class="p">]</span>
<span class="nb">setattr</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">s</span><span class="p">,</span> <span class="n">val</span><span class="p">)</span>
<span class="k">def</span> <span class="nf">_check_data</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">data</span><span class="p">):</span>
<span class="n">data</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span><span class="n">data</span><span class="p">)</span>
<span class="k">if</span> <span class="n">data</span><span class="o">.</span><span class="n">ndim</span> <span class="o">!=</span> <span class="mi">2</span><span class="p">:</span>
<span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s2">"data dimension should be 2"</span><span class="p">)</span>
<span class="k">if</span> <span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">!=</span> <span class="bp">self</span><span class="o">.</span><span class="n">ndim</span><span class="p">:</span>
<span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s2">"leading dimension of data should match ndim"</span><span class="p">)</span>
<span class="k">return</span> <span class="n">data</span>
<span class="k">def</span> <span class="nf">_draw_panels</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="c1"># Import here so that testing with Agg will work</span>
<span class="kn">from</span> <span class="nn">matplotlib</span> <span class="kn">import</span> <span class="n">pyplot</span> <span class="k">as</span> <span class="n">plt</span>
<span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">top</span> <span class="o"><=</span> <span class="bp">self</span><span class="o">.</span><span class="n">bottom</span><span class="p">:</span>
<span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s1">'top must be larger than bottom'</span><span class="p">)</span>
<span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">right</span> <span class="o"><=</span> <span class="bp">self</span><span class="o">.</span><span class="n">left</span><span class="p">:</span>
<span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s1">'right must be larger than left'</span><span class="p">)</span>
<span class="n">ndim</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">ndim</span>
<span class="n">panel_width</span> <span class="o">=</span> <span class="p">((</span><span class="bp">self</span><span class="o">.</span><span class="n">right</span> <span class="o">-</span> <span class="bp">self</span><span class="o">.</span><span class="n">left</span><span class="p">)</span>
<span class="o">/</span> <span class="p">(</span><span class="n">ndim</span> <span class="o">-</span> <span class="mi">1</span> <span class="o">+</span> <span class="bp">self</span><span class="o">.</span><span class="n">wspace</span> <span class="o">*</span> <span class="p">(</span><span class="n">ndim</span> <span class="o">-</span> <span class="mi">2</span><span class="p">)))</span>
<span class="n">panel_height</span> <span class="o">=</span> <span class="p">((</span><span class="bp">self</span><span class="o">.</span><span class="n">top</span> <span class="o">-</span> <span class="bp">self</span><span class="o">.</span><span class="n">bottom</span><span class="p">)</span>
<span class="o">/</span> <span class="p">(</span><span class="n">ndim</span> <span class="o">-</span> <span class="mi">1</span> <span class="o">+</span> <span class="bp">self</span><span class="o">.</span><span class="n">hspace</span> <span class="o">*</span> <span class="p">(</span><span class="n">ndim</span> <span class="o">-</span> <span class="mi">2</span><span class="p">)))</span>
<span class="n">full_panel_width</span> <span class="o">=</span> <span class="p">(</span><span class="mi">1</span> <span class="o">+</span> <span class="bp">self</span><span class="o">.</span><span class="n">wspace</span><span class="p">)</span> <span class="o">*</span> <span class="n">panel_width</span>
<span class="n">full_panel_height</span> <span class="o">=</span> <span class="p">(</span><span class="mi">1</span> <span class="o">+</span> <span class="bp">self</span><span class="o">.</span><span class="n">hspace</span><span class="p">)</span> <span class="o">*</span> <span class="n">panel_height</span>
<span class="n">axes</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">empty</span><span class="p">((</span><span class="n">ndim</span><span class="p">,</span> <span class="n">ndim</span><span class="p">),</span> <span class="n">dtype</span><span class="o">=</span><span class="nb">object</span><span class="p">)</span>
<span class="n">axes</span><span class="o">.</span><span class="n">fill</span><span class="p">(</span><span class="kc">None</span><span class="p">)</span>
<span class="k">for</span> <span class="n">j</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="n">ndim</span><span class="p">):</span>
<span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">j</span><span class="p">):</span>
<span class="n">left</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">left</span> <span class="o">+</span> <span class="n">i</span> <span class="o">*</span> <span class="n">full_panel_width</span>
<span class="n">right</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">bottom</span> <span class="o">+</span> <span class="p">(</span><span class="n">ndim</span> <span class="o">-</span> <span class="mi">1</span> <span class="o">-</span> <span class="n">j</span><span class="p">)</span> <span class="o">*</span> <span class="n">full_panel_height</span>
<span class="n">ax</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">fig</span><span class="o">.</span><span class="n">add_axes</span><span class="p">([</span><span class="n">left</span><span class="p">,</span> <span class="n">right</span><span class="p">,</span>
<span class="n">panel_width</span><span class="p">,</span> <span class="n">panel_height</span><span class="p">])</span>
<span class="n">axes</span><span class="p">[</span><span class="n">i</span><span class="p">,</span> <span class="n">j</span><span class="p">]</span> <span class="o">=</span> <span class="n">ax</span>
<span class="k">if</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">inner_labels</span><span class="p">:</span>
<span class="c1"># remove unneeded x labels</span>
<span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">ndim</span><span class="p">):</span>
<span class="k">for</span> <span class="n">j</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">ndim</span> <span class="o">-</span> <span class="mi">1</span><span class="p">):</span>
<span class="n">ax</span> <span class="o">=</span> <span class="n">axes</span><span class="p">[</span><span class="n">i</span><span class="p">,</span> <span class="n">j</span><span class="p">]</span>
<span class="k">if</span> <span class="n">ax</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
<span class="n">ax</span><span class="o">.</span><span class="n">xaxis</span><span class="o">.</span><span class="n">set_major_formatter</span><span class="p">(</span><span class="n">plt</span><span class="o">.</span><span class="n">NullFormatter</span><span class="p">())</span>
<span class="c1"># remove unneeded y labels</span>
<span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="n">ndim</span><span class="p">):</span>
<span class="k">for</span> <span class="n">j</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">ndim</span><span class="p">):</span>
<span class="n">ax</span> <span class="o">=</span> <span class="n">axes</span><span class="p">[</span><span class="n">i</span><span class="p">,</span> <span class="n">j</span><span class="p">]</span>
<span class="k">if</span> <span class="n">ax</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
<span class="n">ax</span><span class="o">.</span><span class="n">yaxis</span><span class="o">.</span><span class="n">set_major_formatter</span><span class="p">(</span><span class="n">plt</span><span class="o">.</span><span class="n">NullFormatter</span><span class="p">())</span>
<span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span><span class="n">axes</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="nb">object</span><span class="p">)</span>
<span class="k">def</span> <span class="nf">set_limits</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">limits</span><span class="p">):</span>
<span class="sd">"""Set the axes limits</span>
<span class="sd"> Parameters</span>
<span class="sd"> ----------</span>
<span class="sd"> limits : list of tuples</span>
<span class="sd"> a list of plot limits for each dimension, each in the form</span>
<span class="sd"> (xmin, xmax). The length of `limits` should match the data</span>
<span class="sd"> dimension.</span>
<span class="sd"> """</span>
<span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">limits</span><span class="p">)</span> <span class="o">!=</span> <span class="bp">self</span><span class="o">.</span><span class="n">ndim</span><span class="p">:</span>
<span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s2">"limits do not match number of dimensions"</span><span class="p">)</span>
<span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">ndim</span><span class="p">):</span>
<span class="k">for</span> <span class="n">j</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">ndim</span><span class="p">):</span>
<span class="n">ax</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">axes</span><span class="p">[</span><span class="n">i</span><span class="p">,</span> <span class="n">j</span><span class="p">]</span>
<span class="k">if</span> <span class="n">ax</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
<span class="n">ax</span><span class="o">.</span><span class="n">set_xlim</span><span class="p">(</span><span class="n">limits</span><span class="p">[</span><span class="n">i</span><span class="p">])</span>
<span class="n">ax</span><span class="o">.</span><span class="n">set_ylim</span><span class="p">(</span><span class="n">limits</span><span class="p">[</span><span class="n">j</span><span class="p">])</span>
<span class="k">def</span> <span class="nf">set_labels</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">labels</span><span class="p">):</span>
<span class="sd">"""Set the axes labels</span>
<span class="sd"> Parameters</span>
<span class="sd"> ----------</span>
<span class="sd"> labels : list of strings</span>
<span class="sd"> a list of plot limits for each dimension. The length of `labels`</span>
<span class="sd"> should match the data dimension.</span>
<span class="sd"> """</span>
<span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">labels</span><span class="p">)</span> <span class="o">!=</span> <span class="bp">self</span><span class="o">.</span><span class="n">ndim</span><span class="p">:</span>
<span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s2">"labels do not match number of dimensions"</span><span class="p">)</span>
<span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">ndim</span><span class="p">):</span>
<span class="n">ax</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">axes</span><span class="p">[</span><span class="n">i</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">ndim</span> <span class="o">-</span> <span class="mi">1</span><span class="p">]</span>
<span class="k">if</span> <span class="n">ax</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
<span class="n">ax</span><span class="o">.</span><span class="n">set_xlabel</span><span class="p">(</span><span class="n">labels</span><span class="p">[</span><span class="n">i</span><span class="p">])</span>
<span class="k">for</span> <span class="n">j</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">ndim</span><span class="p">):</span>
<span class="n">ax</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="n">j</span><span class="p">]</span>
<span class="k">if</span> <span class="n">ax</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
<span class="n">ax</span><span class="o">.</span><span class="n">set_ylabel</span><span class="p">(</span><span class="n">labels</span><span class="p">[</span><span class="n">j</span><span class="p">])</span>
<span class="k">def</span> <span class="nf">set_locators</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">locators</span><span class="p">):</span>
<span class="sd">"""Set the tick locators for the plots</span>
<span class="sd"> Parameters</span>
<span class="sd"> ----------</span>
<span class="sd"> locators : list or plt.Locator object</span>
<span class="sd"> If a list, then the length should match the data dimension. If</span>
<span class="sd"> a single Locator instance, then each axes will be given the</span>
<span class="sd"> same locator.</span>
<span class="sd"> """</span>
<span class="c1"># Import here so that testing with Agg will work</span>
<span class="kn">from</span> <span class="nn">matplotlib</span> <span class="kn">import</span> <span class="n">pyplot</span> <span class="k">as</span> <span class="n">plt</span>
<span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">locators</span><span class="p">,</span> <span class="n">plt</span><span class="o">.</span><span class="n">Locator</span><span class="p">):</span>
<span class="n">locators</span> <span class="o">=</span> <span class="p">[</span><span class="n">deepcopy</span><span class="p">(</span><span class="n">locators</span><span class="p">)</span> <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">ndim</span><span class="p">)]</span>
<span class="k">elif</span> <span class="nb">len</span><span class="p">(</span><span class="n">locators</span><span class="p">)</span> <span class="o">!=</span> <span class="bp">self</span><span class="o">.</span><span class="n">ndim</span><span class="p">:</span>
<span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s2">"locators do not match number of dimensions"</span><span class="p">)</span>
<span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">ndim</span><span class="p">):</span>
<span class="k">for</span> <span class="n">j</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">ndim</span><span class="p">):</span>
<span class="n">ax</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">axes</span><span class="p">[</span><span class="n">i</span><span class="p">,</span> <span class="n">j</span><span class="p">]</span>
<span class="k">if</span> <span class="n">ax</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
<span class="n">ax</span><span class="o">.</span><span class="n">xaxis</span><span class="o">.</span><span class="n">set_major_locator</span><span class="p">(</span><span class="n">locators</span><span class="p">[</span><span class="n">i</span><span class="p">])</span>
<span class="n">ax</span><span class="o">.</span><span class="n">yaxis</span><span class="o">.</span><span class="n">set_major_locator</span><span class="p">(</span><span class="n">locators</span><span class="p">[</span><span class="n">j</span><span class="p">])</span>
<span class="k">def</span> <span class="nf">set_formatters</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">formatters</span><span class="p">):</span>
<span class="sd">"""Set the tick formatters for the outer edge of plots</span>
<span class="sd"> Parameters</span>
<span class="sd"> ----------</span>
<span class="sd"> formatterss : list or plt.Formatter object</span>
<span class="sd"> If a list, then the length should match the data dimension. If</span>
<span class="sd"> a single Formatter instance, then each axes will be given the</span>
<span class="sd"> same locator.</span>
<span class="sd"> """</span>
<span class="c1"># Import here so that testing with Agg will work</span>
<span class="kn">from</span> <span class="nn">matplotlib</span> <span class="kn">import</span> <span class="n">pyplot</span> <span class="k">as</span> <span class="n">plt</span>
<span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">formatters</span><span class="p">,</span> <span class="n">plt</span><span class="o">.</span><span class="n">Formatter</span><span class="p">):</span>
<span class="n">formatters</span> <span class="o">=</span> <span class="p">[</span><span class="n">deepcopy</span><span class="p">(</span><span class="n">formatters</span><span class="p">)</span> <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">ndim</span><span class="p">)]</span>
<span class="k">elif</span> <span class="nb">len</span><span class="p">(</span><span class="n">formatters</span><span class="p">)</span> <span class="o">!=</span> <span class="bp">self</span><span class="o">.</span><span class="n">ndim</span><span class="p">:</span>
<span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s2">"formatters do not match number of dimensions"</span><span class="p">)</span>
<span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">ndim</span><span class="p">):</span>
<span class="n">ax</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">axes</span><span class="p">[</span><span class="n">i</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">ndim</span> <span class="o">-</span> <span class="mi">1</span><span class="p">]</span>
<span class="k">if</span> <span class="n">ax</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
<span class="n">ax</span><span class="o">.</span><span class="n">xaxis</span><span class="o">.</span><span class="n">set_major_formatter</span><span class="p">(</span><span class="n">formatters</span><span class="p">[</span><span class="n">i</span><span class="p">])</span>
<span class="k">for</span> <span class="n">j</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">ndim</span><span class="p">):</span>
<span class="n">ax</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="n">j</span><span class="p">]</span>
<span class="k">if</span> <span class="n">ax</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
<span class="n">ax</span><span class="o">.</span><span class="n">xaxis</span><span class="o">.</span><span class="n">set_major_formatter</span><span class="p">(</span><span class="n">formatters</span><span class="p">[</span><span class="n">i</span><span class="p">])</span>
<span class="k">def</span> <span class="nf">plot</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
<span class="sd">"""Plot data</span>
<span class="sd"> This function calls plt.plot() on each axes. All arguments or</span>
<span class="sd"> keyword arguments are passed to the plt.plot function.</span>
<span class="sd"> Parameters</span>
<span class="sd"> ----------</span>
<span class="sd"> data : ndarray</span>
<span class="sd"> shape of data is [n_samples, ndim], and ndim should match that</span>
<span class="sd"> passed to the MultiAxes constructor.</span>
<span class="sd"> """</span>
<span class="n">data</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_check_data</span><span class="p">(</span><span class="n">data</span><span class="p">)</span>
<span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">ndim</span><span class="p">):</span>
<span class="k">for</span> <span class="n">j</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">ndim</span><span class="p">):</span>
<span class="n">ax</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">axes</span><span class="p">[</span><span class="n">i</span><span class="p">,</span> <span class="n">j</span><span class="p">]</span>
<span class="k">if</span> <span class="n">ax</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
<span class="k">continue</span>
<span class="n">ax</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">data</span><span class="p">[:,</span> <span class="n">i</span><span class="p">],</span> <span class="n">data</span><span class="p">[:,</span> <span class="n">j</span><span class="p">],</span> <span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
<span class="k">def</span> <span class="nf">scatter</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
<span class="sd">"""Scatter plot data</span>
<span class="sd"> This function calls plt.scatter() on each axes. All arguments or</span>
<span class="sd"> keyword arguments are passed to the plt.scatter function.</span>
<span class="sd"> Parameters</span>
<span class="sd"> ----------</span>
<span class="sd"> data : ndarray</span>
<span class="sd"> shape of data is [n_samples, ndim], and ndim should match that</span>
<span class="sd"> passed to the MultiAxes constructor.</span>
<span class="sd"> """</span>
<span class="n">data</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_check_data</span><span class="p">(</span><span class="n">data</span><span class="p">)</span>
<span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">ndim</span><span class="p">):</span>
<span class="k">for</span> <span class="n">j</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">ndim</span><span class="p">):</span>
<span class="n">ax</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">axes</span><span class="p">[</span><span class="n">i</span><span class="p">,</span> <span class="n">j</span><span class="p">]</span>
<span class="k">if</span> <span class="n">ax</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
<span class="k">continue</span>
<span class="n">ax</span><span class="o">.</span><span class="n">scatter</span><span class="p">(</span><span class="n">data</span><span class="p">[:,</span> <span class="n">i</span><span class="p">],</span> <span class="n">data</span><span class="p">[:,</span> <span class="n">j</span><span class="p">],</span> <span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
<span class="k">def</span> <span class="nf">density</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="n">bins</span><span class="o">=</span><span class="mi">20</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
<span class="sd">"""Density plot of data</span>
<span class="sd"> This function calls np.histogram2D to bin the data in each axes, then</span>
<span class="sd"> calls plt.imshow() on the result. All extra arguments or</span>
<span class="sd"> keyword arguments are passed to the plt.imshow function.</span>
<span class="sd"> Parameters</span>
<span class="sd"> ----------</span>
<span class="sd"> data : ndarray</span>
<span class="sd"> shape of data is [n_samples, ndim], and ndim should match that</span>
<span class="sd"> passed to the MultiAxes constructor.</span>
<span class="sd"> bins : int, array, list of ints, or list of arrays</span>
<span class="sd"> specify the bins for each dimension. If bins is a list, then the</span>
<span class="sd"> length must match the data dimension</span>
<span class="sd"> """</span>
<span class="n">data</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_check_data</span><span class="p">(</span><span class="n">data</span><span class="p">)</span>
<span class="k">if</span> <span class="ow">not</span> <span class="nb">hasattr</span><span class="p">(</span><span class="n">bins</span><span class="p">,</span> <span class="s1">'__len__'</span><span class="p">):</span>
<span class="n">bins</span> <span class="o">=</span> <span class="p">[</span><span class="n">bins</span> <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">ndim</span><span class="p">)]</span>
<span class="k">elif</span> <span class="nb">len</span><span class="p">(</span><span class="n">bins</span><span class="p">)</span> <span class="o">!=</span> <span class="bp">self</span><span class="o">.</span><span class="n">ndim</span><span class="p">:</span>
<span class="n">bins</span> <span class="o">=</span> <span class="p">[</span><span class="n">bins</span> <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">ndim</span><span class="p">)]</span>
<span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">ndim</span><span class="p">):</span>
<span class="k">for</span> <span class="n">j</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">ndim</span><span class="p">):</span>
<span class="n">ax</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">axes</span><span class="p">[</span><span class="n">i</span><span class="p">,</span> <span class="n">j</span><span class="p">]</span>
<span class="k">if</span> <span class="n">ax</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
<span class="k">continue</span>
<span class="n">H</span><span class="p">,</span> <span class="n">xbins</span><span class="p">,</span> <span class="n">ybins</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">histogram2d</span><span class="p">(</span><span class="n">data</span><span class="p">[:,</span> <span class="n">i</span><span class="p">],</span> <span class="n">data</span><span class="p">[:,</span> <span class="n">j</span><span class="p">],</span>
<span class="p">(</span><span class="n">bins</span><span class="p">[</span><span class="n">i</span><span class="p">],</span> <span class="n">bins</span><span class="p">[</span><span class="n">j</span><span class="p">]))</span>
<span class="n">ax</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">H</span><span class="o">.</span><span class="n">T</span><span class="p">,</span> <span class="n">origin</span><span class="o">=</span><span class="s1">'lower'</span><span class="p">,</span> <span class="n">aspect</span><span class="o">=</span><span class="s1">'auto'</span><span class="p">,</span>
<span class="n">extent</span><span class="o">=</span><span class="p">(</span><span class="n">xbins</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">xbins</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">],</span> <span class="n">ybins</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">ybins</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]),</span>
<span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
<span class="n">ax</span><span class="o">.</span><span class="n">set_xlim</span><span class="p">(</span><span class="n">xbins</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">xbins</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">])</span>
<span class="n">ax</span><span class="o">.</span><span class="n">set_ylim</span><span class="p">(</span><span class="n">ybins</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">ybins</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">])</span></div>
</pre></div>
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