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<!DOCTYPE html>
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<li class="toctree-l1"><a class="reference internal" href="../../tutorial/getting_started.html">Getting started with <code class="docutils literal"><span class="pre">mpl-probscale</span></code></a></li>
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<h1>Source code for probscale.transforms</h1><div class="highlight"><pre>
<span></span><span class="kn">import</span> <span class="nn">numpy</span>
<span class="kn">from</span> <span class="nn">matplotlib.transforms</span> <span class="kn">import</span> <span class="n">Transform</span>
<span class="k">def</span> <span class="nf">_mask_out_of_bounds</span><span class="p">(</span><span class="n">a</span><span class="p">):</span>
<span class="sd">"""</span>
<span class="sd"> Return a Numpy array where all values outside ]0, 1[ are</span>
<span class="sd"> replaced with NaNs. If all values are inside ]0, 1[, the original</span>
<span class="sd"> array is returned.</span>
<span class="sd"> """</span>
<span class="n">a</span> <span class="o">=</span> <span class="n">numpy</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">a</span><span class="p">,</span> <span class="nb">float</span><span class="p">)</span>
<span class="n">mask</span> <span class="o">=</span> <span class="p">(</span><span class="n">a</span> <span class="o"><=</span> <span class="mf">0.0</span><span class="p">)</span> <span class="o">|</span> <span class="p">(</span><span class="n">a</span> <span class="o">>=</span> <span class="mf">1.0</span><span class="p">)</span>
<span class="k">if</span> <span class="n">mask</span><span class="o">.</span><span class="n">any</span><span class="p">():</span>
<span class="k">return</span> <span class="n">numpy</span><span class="o">.</span><span class="n">where</span><span class="p">(</span><span class="n">mask</span><span class="p">,</span> <span class="n">numpy</span><span class="o">.</span><span class="n">nan</span><span class="p">,</span> <span class="n">a</span><span class="p">)</span>
<span class="k">return</span> <span class="n">a</span>
<span class="k">def</span> <span class="nf">_clip_out_of_bounds</span><span class="p">(</span><span class="n">a</span><span class="p">):</span>
<span class="sd">"""</span>
<span class="sd"> Return a Numpy array where all values outside ]0, 1[ are</span>
<span class="sd"> replaced with eps or 1 - eps. If all values are inside ]0, 1[</span>
<span class="sd"> the original array is returned. (eps = 1e-300)</span>
<span class="sd"> """</span>
<span class="n">a</span> <span class="o">=</span> <span class="n">numpy</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">a</span><span class="p">,</span> <span class="nb">float</span><span class="p">)</span>
<span class="n">a</span><span class="p">[</span><span class="n">a</span> <span class="o"><=</span> <span class="mf">0.0</span><span class="p">]</span> <span class="o">=</span> <span class="mf">1e-300</span>
<span class="n">a</span><span class="p">[</span><span class="n">a</span> <span class="o">>=</span> <span class="mf">1.0</span><span class="p">]</span> <span class="o">=</span> <span class="mi">1</span> <span class="o">-</span> <span class="mf">1e-300</span>
<span class="k">return</span> <span class="n">a</span>
<span class="k">class</span> <span class="nc">_ProbTransformMixin</span><span class="p">(</span><span class="n">Transform</span><span class="p">):</span>
<span class="sd">"""</span>
<span class="sd"> Mixin for MPL axes transform for quantiles/probabilities or</span>
<span class="sd"> percentages.</span>
<span class="sd"> """</span>
<span class="n">input_dims</span> <span class="o">=</span> <span class="mi">1</span>
<span class="n">output_dims</span> <span class="o">=</span> <span class="mi">1</span>
<span class="n">is_separable</span> <span class="o">=</span> <span class="bp">True</span>
<span class="n">has_inverse</span> <span class="o">=</span> <span class="bp">True</span>
<span class="k">def</span> <span class="nf">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">dist</span><span class="p">,</span> <span class="n">as_pct</span><span class="o">=</span><span class="bp">True</span><span class="p">,</span> <span class="n">out_of_bounds</span><span class="o">=</span><span class="s1">'mask'</span><span class="p">):</span>
<span class="n">Transform</span><span class="o">.</span><span class="n">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span>
<span class="bp">self</span><span class="o">.</span><span class="n">dist</span> <span class="o">=</span> <span class="n">dist</span>
<span class="bp">self</span><span class="o">.</span><span class="n">as_pct</span> <span class="o">=</span> <span class="n">as_pct</span>
<span class="bp">self</span><span class="o">.</span><span class="n">out_of_bounds</span> <span class="o">=</span> <span class="n">out_of_bounds</span>
<span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">as_pct</span><span class="p">:</span>
<span class="bp">self</span><span class="o">.</span><span class="n">factor</span> <span class="o">=</span> <span class="mf">100.0</span>
<span class="k">else</span><span class="p">:</span>
<span class="bp">self</span><span class="o">.</span><span class="n">factor</span> <span class="o">=</span> <span class="mf">1.0</span>
<span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">out_of_bounds</span> <span class="o">==</span> <span class="s1">'mask'</span><span class="p">:</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_handle_out_of_bounds</span> <span class="o">=</span> <span class="n">_mask_out_of_bounds</span>
<span class="k">elif</span> <span class="bp">self</span><span class="o">.</span><span class="n">out_of_bounds</span> <span class="o">==</span> <span class="s1">'clip'</span><span class="p">:</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_handle_out_of_bounds</span> <span class="o">=</span> <span class="n">_clip_out_of_bounds</span>
<span class="k">else</span><span class="p">:</span>
<span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s2">"`out_of_bounds` muse be either 'mask' or 'clip'"</span><span class="p">)</span>
<div class="viewcode-block" id="ProbTransform"><a class="viewcode-back" href="../../api/transforms.html#probscale.transforms.ProbTransform">[docs]</a><span class="k">class</span> <span class="nc">ProbTransform</span><span class="p">(</span><span class="n">_ProbTransformMixin</span><span class="p">):</span>
<span class="sd">"""</span>
<span class="sd"> MPL axes tranform class to convert quantiles to probabilities</span>
<span class="sd"> or percents.</span>
<span class="sd"> Parameters</span>
<span class="sd"> ----------</span>
<span class="sd"> dist : scipy.stats distribution</span>
<span class="sd"> The distribution whose ``cdf`` and ``pdf`` methods wiil set the</span>
<span class="sd"> scale of the axis.</span>
<span class="sd"> as_pct : bool, optional (True)</span>
<span class="sd"> Toggles the formatting of the probabilities associated with the</span>
<span class="sd"> tick labels as percentanges (0 - 100) or fractions (0 - 1).</span>
<span class="sd"> out_of_bounds : string, optionals ('mask' or 'clip')</span>
<span class="sd"> Determines how data outside the range of valid values is</span>
<span class="sd"> handled. The default behavior is to mask the data.</span>
<span class="sd"> Alternatively, the data can be clipped to values arbitrarily</span>
<span class="sd"> close to the limits of the scale.</span>
<span class="sd"> """</span>
<div class="viewcode-block" id="ProbTransform.transform_non_affine"><a class="viewcode-back" href="../../api/transforms.html#probscale.transforms.ProbTransform.transform_non_affine">[docs]</a> <span class="k">def</span> <span class="nf">transform_non_affine</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">prob</span><span class="p">):</span>
<span class="n">prob</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_handle_out_of_bounds</span><span class="p">(</span><span class="n">numpy</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span><span class="n">prob</span><span class="p">)</span> <span class="o">/</span> <span class="bp">self</span><span class="o">.</span><span class="n">factor</span><span class="p">)</span>
<span class="n">q</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">dist</span><span class="o">.</span><span class="n">ppf</span><span class="p">(</span><span class="n">prob</span><span class="p">)</span>
<span class="k">return</span> <span class="n">q</span>
</div>
<div class="viewcode-block" id="ProbTransform.inverted"><a class="viewcode-back" href="../../api/transforms.html#probscale.transforms.ProbTransform.inverted">[docs]</a> <span class="k">def</span> <span class="nf">inverted</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="k">return</span> <span class="n">QuantileTransform</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">dist</span><span class="p">,</span> <span class="n">as_pct</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">as_pct</span><span class="p">,</span> <span class="n">out_of_bounds</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">out_of_bounds</span><span class="p">)</span>
</div></div>
<div class="viewcode-block" id="QuantileTransform"><a class="viewcode-back" href="../../api/transforms.html#probscale.transforms.QuantileTransform">[docs]</a><span class="k">class</span> <span class="nc">QuantileTransform</span><span class="p">(</span><span class="n">_ProbTransformMixin</span><span class="p">):</span>
<span class="sd">"""</span>
<span class="sd"> MPL axes tranform class to convert probabilities or percents to</span>
<span class="sd"> quantiles.</span>
<span class="sd"> Parameters</span>
<span class="sd"> ----------</span>
<span class="sd"> dist : scipy.stats distribution</span>
<span class="sd"> The distribution whose ``cdf`` and ``pdf`` methods wiil set the</span>
<span class="sd"> scale of the axis.</span>
<span class="sd"> as_pct : bool, optional (True)</span>
<span class="sd"> Toggles the formatting of the probabilities associated with the</span>
<span class="sd"> tick labels as percentanges (0 - 100) or fractions (0 - 1).</span>
<span class="sd"> out_of_bounds : string, optionals ('mask' or 'clip')</span>
<span class="sd"> Determines how data outside the range of valid values is</span>
<span class="sd"> handled. The default behavior is to mask the data.</span>
<span class="sd"> Alternatively, the data can be clipped to values arbitrarily</span>
<span class="sd"> close to the limits of the scale.</span>
<span class="sd"> """</span>
<div class="viewcode-block" id="QuantileTransform.transform_non_affine"><a class="viewcode-back" href="../../api/transforms.html#probscale.transforms.QuantileTransform.transform_non_affine">[docs]</a> <span class="k">def</span> <span class="nf">transform_non_affine</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">q</span><span class="p">):</span>
<span class="n">prob</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">dist</span><span class="o">.</span><span class="n">cdf</span><span class="p">(</span><span class="n">q</span><span class="p">)</span> <span class="o">*</span> <span class="bp">self</span><span class="o">.</span><span class="n">factor</span>
<span class="k">return</span> <span class="n">prob</span>
</div>
<div class="viewcode-block" id="QuantileTransform.inverted"><a class="viewcode-back" href="../../api/transforms.html#probscale.transforms.QuantileTransform.inverted">[docs]</a> <span class="k">def</span> <span class="nf">inverted</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="k">return</span> <span class="n">ProbTransform</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">dist</span><span class="p">,</span> <span class="n">as_pct</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">as_pct</span><span class="p">,</span> <span class="n">out_of_bounds</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">out_of_bounds</span><span class="p">)</span></div></div>
</pre></div>
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