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<div class="section" id="colour-adaptation-package">
<h1>colour.adaptation Package<a class="headerlink" href="#colour-adaptation-package" title="Permalink to this headline">¶</a></h1>
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<h2>Sub-Modules<a class="headerlink" href="#sub-modules" title="Permalink to this headline">¶</a></h2>
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<li class="toctree-l1"><a class="reference internal" href="colour.adaptation.cat.html">colour.adaptation.cat Module</a><ul>
<li class="toctree-l2"><a class="reference internal" href="colour.adaptation.cat.html#chromatic-adaptation-transforms">Chromatic Adaptation Transforms</a></li>
</ul>
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<div class="section" id="module-colour.adaptation">
<span id="module-contents"></span><h2>Module Contents<a class="headerlink" href="#module-colour.adaptation" title="Permalink to this headline">¶</a></h2>
<dl class="function">
<dt id="colour.adaptation.chromatic_adaptation_matrix">
<tt class="descclassname">colour.adaptation.</tt><tt class="descname">chromatic_adaptation_matrix</tt><big>(</big><em>XYZ1</em>, <em>XYZ2</em>, <em>method=u'CAT02'</em><big>)</big><a class="headerlink" href="#colour.adaptation.chromatic_adaptation_matrix" title="Permalink to this definition">¶</a></dt>
<dd><p>Returns the <em>chromatic adaptation</em> matrix from given source and target
<em>CIE XYZ</em> colourspace <em>array_like</em> variables.</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
<li><strong>XYZ1</strong> (<em>array_like, (3,)</em>) – <em>CIE XYZ</em> source <em>array_like</em> variable.</li>
<li><strong>XYZ2</strong> (<em>array_like, (3,)</em>) – <em>CIE XYZ</em> target <em>array_like</em> variable.</li>
<li><strong>method</strong> (<em>unicode, optional</em>) – (‘XYZ Scaling’, ‘Bradford’, ‘Von Kries’, ‘Fairchild, ‘CAT02’),
Chromatic adaptation method.</li>
</ul>
</td>
</tr>
<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first">Chromatic adaptation matrix.</p>
</td>
</tr>
<tr class="field-odd field"><th class="field-name">Return type:</th><td class="field-body"><p class="first">ndarray, (3, 3)</p>
</td>
</tr>
<tr class="field-even field"><th class="field-name">Raises:</th><td class="field-body"><p class="first last"><tt class="xref py py-exc docutils literal"><span class="pre">KeyError</span></tt> –
If chromatic adaptation method is not defined.</p>
</td>
</tr>
</tbody>
</table>
<p class="rubric">References</p>
<table class="docutils footnote" frame="void" id="id1" rules="none">
<colgroup><col class="label" /><col /></colgroup>
<tbody valign="top">
<tr><td class="label">[4]</td><td><a class="reference external" href="http://brucelindbloom.com/Eqn_ChromAdapt.html">http://brucelindbloom.com/Eqn_ChromAdapt.html</a>
(Last accessed 24 February 2014)</td></tr>
</tbody>
</table>
<p class="rubric">Examples</p>
<div class="highlight-python"><div class="highlight"><pre><span class="gp">>>> </span><span class="n">XYZ1</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="mf">1.09923822</span><span class="p">,</span> <span class="mf">1.000</span><span class="p">,</span> <span class="mf">0.35445412</span><span class="p">])</span>
<span class="gp">>>> </span><span class="n">XYZ2</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="mf">0.96907232</span><span class="p">,</span> <span class="mf">1.000</span><span class="p">,</span> <span class="mf">1.121792157</span><span class="p">])</span>
<span class="gp">>>> </span><span class="n">chromatic_adaptation_matrix</span><span class="p">(</span><span class="n">XYZ1</span><span class="p">,</span> <span class="n">XYZ2</span><span class="p">)</span>
<span class="go">array([[ 0.8714561..., -0.1320467..., 0.4039483...],</span>
<span class="go"> [-0.0963880..., 1.0490978..., 0.160403... ],</span>
<span class="go"> [ 0.0080207..., 0.0282636..., 3.0602319...]])</span>
</pre></div>
</div>
<p>Using <em>Bradford</em> method:</p>
<div class="highlight-python"><div class="highlight"><pre><span class="gp">>>> </span><span class="n">XYZ1</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="mf">1.09923822</span><span class="p">,</span> <span class="mf">1.000</span><span class="p">,</span> <span class="mf">0.35445412</span><span class="p">])</span>
<span class="gp">>>> </span><span class="n">XYZ2</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="mf">0.96907232</span><span class="p">,</span> <span class="mf">1.000</span><span class="p">,</span> <span class="mf">1.121792157</span><span class="p">])</span>
<span class="gp">>>> </span><span class="n">method</span> <span class="o">=</span> <span class="s">'Bradford'</span>
<span class="gp">>>> </span><span class="n">chromatic_adaptation_matrix</span><span class="p">(</span><span class="n">XYZ1</span><span class="p">,</span> <span class="n">XYZ2</span><span class="p">,</span> <span class="n">method</span><span class="p">)</span>
<span class="go">array([[ 0.8518131..., -0.1134786..., 0.4124804...],</span>
<span class="go"> [-0.1277659..., 1.0928930..., 0.1341559...],</span>
<span class="go"> [ 0.0845323..., -0.1434969..., 3.3075309...]])</span>
</pre></div>
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