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<div class="section" id="pylab-examples-example-code-image-masked-py">
<span id="pylab-examples-image-masked"></span><h1>pylab_examples example code: image_masked.py<a class="headerlink" href="#pylab-examples-example-code-image-masked-py" title="Permalink to this headline">ΒΆ</a></h1>
<p>(<a class="reference external" href="../../mpl_examples/pylab_examples/image_masked.py">Source code</a>, <a class="reference external" href="../../mpl_examples/pylab_examples/image_masked.png">png</a>, <a class="reference external" href="../../mpl_examples/pylab_examples/image_masked.hires.png">hires.png</a>, <a class="reference external" href="../../mpl_examples/pylab_examples/image_masked.pdf">pdf</a>)</p>
<div class="figure">
<img alt="../../_images/image_masked.png" src="../../_images/image_masked.png" />
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<div class="highlight-python"><div class="highlight"><pre><span class="c">#!/usr/bin/env python</span>
<span class="sd">'''imshow with masked array input and out-of-range colors.</span>
<span class="sd"> The second subplot illustrates the use of BoundaryNorm to</span>
<span class="sd"> get a filled contour effect.</span>
<span class="sd">'''</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="n">ma</span>
<span class="kn">import</span> <span class="nn">matplotlib.colors</span> <span class="kn">as</span> <span class="nn">colors</span>
<span class="n">delta</span> <span class="o">=</span> <span class="mf">0.025</span>
<span class="n">x</span> <span class="o">=</span> <span class="n">y</span> <span class="o">=</span> <span class="n">arange</span><span class="p">(</span><span class="o">-</span><span class="mf">3.0</span><span class="p">,</span> <span class="mf">3.0</span><span class="p">,</span> <span class="n">delta</span><span class="p">)</span>
<span class="n">X</span><span class="p">,</span> <span class="n">Y</span> <span class="o">=</span> <span class="n">meshgrid</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">Z1</span> <span class="o">=</span> <span class="n">bivariate_normal</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="mf">1.0</span><span class="p">,</span> <span class="mf">1.0</span><span class="p">,</span> <span class="mf">0.0</span><span class="p">,</span> <span class="mf">0.0</span><span class="p">)</span>
<span class="n">Z2</span> <span class="o">=</span> <span class="n">bivariate_normal</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="mf">1.5</span><span class="p">,</span> <span class="mf">0.5</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span>
<span class="n">Z</span> <span class="o">=</span> <span class="mi">10</span> <span class="o">*</span> <span class="p">(</span><span class="n">Z2</span><span class="o">-</span><span class="n">Z1</span><span class="p">)</span> <span class="c"># difference of Gaussians</span>
<span class="c"># Set up a colormap:</span>
<span class="n">palette</span> <span class="o">=</span> <span class="n">cm</span><span class="o">.</span><span class="n">gray</span>
<span class="n">palette</span><span class="o">.</span><span class="n">set_over</span><span class="p">(</span><span class="s">'r'</span><span class="p">,</span> <span class="mf">1.0</span><span class="p">)</span>
<span class="n">palette</span><span class="o">.</span><span class="n">set_under</span><span class="p">(</span><span class="s">'g'</span><span class="p">,</span> <span class="mf">1.0</span><span class="p">)</span>
<span class="n">palette</span><span class="o">.</span><span class="n">set_bad</span><span class="p">(</span><span class="s">'b'</span><span class="p">,</span> <span class="mf">1.0</span><span class="p">)</span>
<span class="c"># Alternatively, we could use</span>
<span class="c"># palette.set_bad(alpha = 0.0)</span>
<span class="c"># to make the bad region transparent. This is the default.</span>
<span class="c"># If you comment out all the palette.set* lines, you will see</span>
<span class="c"># all the defaults; under and over will be colored with the</span>
<span class="c"># first and last colors in the palette, respectively.</span>
<span class="n">Zm</span> <span class="o">=</span> <span class="n">ma</span><span class="o">.</span><span class="n">masked_where</span><span class="p">(</span><span class="n">Z</span> <span class="o">></span> <span class="mf">1.2</span><span class="p">,</span> <span class="n">Z</span><span class="p">)</span>
<span class="c"># By setting vmin and vmax in the norm, we establish the</span>
<span class="c"># range to which the regular palette color scale is applied.</span>
<span class="c"># Anything above that range is colored based on palette.set_over, etc.</span>
<span class="n">subplot</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span><span class="mi">2</span><span class="p">,</span><span class="mi">1</span><span class="p">)</span>
<span class="n">im</span> <span class="o">=</span> <span class="n">imshow</span><span class="p">(</span><span class="n">Zm</span><span class="p">,</span> <span class="n">interpolation</span><span class="o">=</span><span class="s">'bilinear'</span><span class="p">,</span>
<span class="n">cmap</span><span class="o">=</span><span class="n">palette</span><span class="p">,</span>
<span class="n">norm</span> <span class="o">=</span> <span class="n">colors</span><span class="o">.</span><span class="n">Normalize</span><span class="p">(</span><span class="n">vmin</span> <span class="o">=</span> <span class="o">-</span><span class="mf">1.0</span><span class="p">,</span> <span class="n">vmax</span> <span class="o">=</span> <span class="mf">1.0</span><span class="p">,</span> <span class="n">clip</span> <span class="o">=</span> <span class="bp">False</span><span class="p">),</span>
<span class="n">origin</span><span class="o">=</span><span class="s">'lower'</span><span class="p">,</span> <span class="n">extent</span><span class="o">=</span><span class="p">[</span><span class="o">-</span><span class="mi">3</span><span class="p">,</span><span class="mi">3</span><span class="p">,</span><span class="o">-</span><span class="mi">3</span><span class="p">,</span><span class="mi">3</span><span class="p">])</span>
<span class="n">title</span><span class="p">(</span><span class="s">'Green=low, Red=high, Blue=bad'</span><span class="p">)</span>
<span class="n">colorbar</span><span class="p">(</span><span class="n">im</span><span class="p">,</span> <span class="n">extend</span><span class="o">=</span><span class="s">'both'</span><span class="p">,</span> <span class="n">orientation</span><span class="o">=</span><span class="s">'horizontal'</span><span class="p">,</span> <span class="n">shrink</span><span class="o">=</span><span class="mf">0.8</span><span class="p">)</span>
<span class="n">subplot</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span><span class="mi">2</span><span class="p">,</span><span class="mi">2</span><span class="p">)</span>
<span class="n">im</span> <span class="o">=</span> <span class="n">imshow</span><span class="p">(</span><span class="n">Zm</span><span class="p">,</span> <span class="n">interpolation</span><span class="o">=</span><span class="s">'nearest'</span><span class="p">,</span>
<span class="n">cmap</span><span class="o">=</span><span class="n">palette</span><span class="p">,</span>
<span class="n">norm</span> <span class="o">=</span> <span class="n">colors</span><span class="o">.</span><span class="n">BoundaryNorm</span><span class="p">([</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="o">-</span><span class="mf">0.5</span><span class="p">,</span> <span class="o">-</span><span class="mf">0.2</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mf">0.2</span><span class="p">,</span> <span class="mf">0.5</span><span class="p">,</span> <span class="mi">1</span><span class="p">],</span>
<span class="n">ncolors</span><span class="o">=</span><span class="mi">256</span><span class="p">,</span> <span class="n">clip</span> <span class="o">=</span> <span class="bp">False</span><span class="p">),</span>
<span class="n">origin</span><span class="o">=</span><span class="s">'lower'</span><span class="p">,</span> <span class="n">extent</span><span class="o">=</span><span class="p">[</span><span class="o">-</span><span class="mi">3</span><span class="p">,</span><span class="mi">3</span><span class="p">,</span><span class="o">-</span><span class="mi">3</span><span class="p">,</span><span class="mi">3</span><span class="p">])</span>
<span class="n">title</span><span class="p">(</span><span class="s">'With BoundaryNorm'</span><span class="p">)</span>
<span class="n">colorbar</span><span class="p">(</span><span class="n">im</span><span class="p">,</span> <span class="n">extend</span><span class="o">=</span><span class="s">'both'</span><span class="p">,</span> <span class="n">spacing</span><span class="o">=</span><span class="s">'proportional'</span><span class="p">,</span>
<span class="n">orientation</span><span class="o">=</span><span class="s">'horizontal'</span><span class="p">,</span> <span class="n">shrink</span><span class="o">=</span><span class="mf">0.8</span><span class="p">)</span>
<span class="n">show</span><span class="p">()</span>
</pre></div>
</div>
<p>Keywords: python, matplotlib, pylab, example, codex (see <a class="reference internal" href="../../faq/howto_faq.html#how-to-search-examples"><em>Search examples</em></a>)</p>
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