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<div class="section" id="advanced-variable-operations">
<h1>Advanced Variable Operations<a class="headerlink" href="#advanced-variable-operations" title="Permalink to this headline">¶</a></h1>
<div class="section" id="climatological-statistics">
<h2>Climatological statistics<a class="headerlink" href="#climatological-statistics" title="Permalink to this headline">¶</a></h2>
<p>A variety of time averaging operations are possible. In addition to computing
climatologies, one can compute monthly means, daily means, diurnal means, and
trends. These should generally work as expected; however, PyGeode also
implements special mapping rules for time axes so that anomalies from these time
averages can be easily defined. In general these are based on the</p>
<p>A common operation is to
compute climatologies. As described in the first of these tutorials this is
simply performed as follows</p>
<div class="highlight-ipython"><div class="highlight"><pre><span class="gp">In [2]: </span><span class="kn">from</span> <span class="nn">pygeode.tutorial</span> <span class="kn">import</span> <span class="n">t2</span>
<span class="gp">In [3]: </span><span class="n">Tc</span> <span class="o">=</span> <span class="n">pyg</span><span class="o">.</span><span class="n">climatology</span><span class="p">(</span><span class="n">t2</span><span class="o">.</span><span class="n">Temp</span><span class="p">)</span> <span class="c"># Compute the climatology</span>
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<h2>Time averaging<a class="headerlink" href="#time-averaging" title="Permalink to this headline">¶</a></h2>
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<p>include lag correlation</p>
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<li><a class="reference internal" href="#">Advanced Variable Operations</a><ul>
<li><a class="reference internal" href="#climatological-statistics">Climatological statistics</a></li>
<li><a class="reference internal" href="#time-averaging">Time averaging</a><ul>
<li><a class="reference internal" href="#other-operations">Other Operations</a></li>
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