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docs/analysis.html

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<title>Analysis &#8212; Documentation</title>
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<p>Version 3.18.2 for version 1.12 of the CF conventions.</p>
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<p>All of the Python code in this tutorial is available in an executable
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script (<a class="reference download internal" download="" href="_downloads/f005a212533d023d9ca8ee5ecd9a9065/field_analysis.py"><code class="xref download docutils literal notranslate"><span class="pre">download</span></code></a>, 8kB).</p>
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script (<a class="reference download internal" download="" href="_downloads/field_analysis.py"><code class="xref download docutils literal notranslate"><span class="pre">download</span></code></a>, 8kB).</p>
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<p>Note that this page is duplicated in the <a class="reference internal" href="tutorial.html#tutorial"><span class="std std-ref">tutorial</span></a>.</p>
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<span id="id2"></span><h2><a class="toc-backref" href="#id83" role="doc-backlink"><strong>Sample datasets</strong></a><a class="headerlink" href="#sample-datasets" title="Link to this heading"></a></h2>
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<p>This tutorial uses a number of small sample datasets, all of which can
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be found in the zip file <code class="docutils literal notranslate"><span class="pre">cf_tutorial_files.zip</span></code>
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(<a class="reference download internal" download="" href="_downloads/662a6146f847a4d1c19d523d3f30e1cc/cf_tutorial_files.zip"><code class="xref download docutils literal notranslate"><span class="pre">download</span></code></a>,
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<div class="code-block-caption"><span class="caption-text"><em>Unpack the sample datasets.</em></span><a class="headerlink" href="#id28" title="Link to this code"></a></div>
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cell sizes (or custom weights) may applied to the calculation.</p>
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<div class="literal-block-wrapper docutils container" id="id79">
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<div class="code-block-caption"><span class="caption-text"><em>Calculate a 3-point weighted mean of the ‘X’ axis. Since
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the the ‘X’ axis is cyclic, the mean wraps by default.</em></span><a class="headerlink" href="#id79" title="Link to this code"></a></div>
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the ‘X’ axis is cyclic, the mean wraps by default.</em></span><a class="headerlink" href="#id79" title="Link to this code"></a></div>
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<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">q</span><span class="p">,</span> <span class="n">t</span> <span class="o">=</span> <span class="n">cf</span><span class="o">.</span><span class="n">read</span><span class="p">(</span><span class="s1">&#39;file.nc&#39;</span><span class="p">)</span>
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<span class="gp">&gt;&gt;&gt; </span><span class="nb">print</span><span class="p">(</span><span class="n">q</span><span class="p">)</span>
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<span class="go">Field: specific_humidity (ncvar%q)</span>
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<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="nb">print</span><span class="p">(</span><span class="n">q</span><span class="p">)</span>
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docs/field_analysis.html

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the ‘X’ axis is cyclic, the mean wraps by default.</em></span><a class="headerlink" href="#id76" title="Link to this code"></a></div>
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<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">q</span><span class="p">,</span> <span class="n">t</span> <span class="o">=</span> <span class="n">cf</span><span class="o">.</span><span class="n">read</span><span class="p">(</span><span class="s1">&#39;file.nc&#39;</span><span class="p">)</span>
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<li><p><a class="reference internal" href="#performance" id="id7"><strong>Performance</strong></a></p></li>
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<li><p><a class="reference internal" href="#command-line-utilities" id="id8"><strong>Command line utilities</strong></a></p></li>
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<li><p><a class="reference internal" href="#cf-data-model" id="id9"><strong>CF data model</strong></a></p></li>
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<li><p><a class="reference internal" href="#references" id="id10"><strong>References</strong></a></p></li>
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<li><p><a class="reference internal" href="#training" id="id7"><strong>Training</strong></a></p></li>
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<li><p><a class="reference internal" href="#performance" id="id8"><strong>Performance</strong></a></p></li>
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<li><p><a class="reference internal" href="#command-line-utilities" id="id9"><strong>Command line utilities</strong></a></p></li>
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<li><p><a class="reference internal" href="#cf-data-model" id="id10"><strong>CF data model</strong></a></p></li>
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in the form of Jupyter Notebooks, is openly-accessible and available
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(with instructions for set-up provided) at:
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<a class="reference external" href="https://github.com/NCAS-CMS/cf-tools-training">https://github.com/NCAS-CMS/cf-tools-training</a>.</p>
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<p>The <code class="xref py py-obj docutils literal notranslate"><span class="pre">cf</span></code> package uses <a class="reference internal" href="performance.html#performance"><span class="std std-ref">Dask</span></a> for all of its data
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<h2><a class="toc-backref" href="#id9" role="doc-backlink"><strong>Command line utilities</strong></a><a class="headerlink" href="#command-line-utilities" title="Link to this heading"></a></h2>
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<span id="id1"></span><h2><a class="toc-backref" href="#id10" role="doc-backlink"><strong>CF data model</strong></a><a class="headerlink" href="#cf-data-model" title="Link to this heading"></a></h2>
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<p><span class="caption-text"><em>The constructs of the CF data model described using UML. The field construct corresponds to a CF-netCDF data variable. The domain construct provides the linkage between the field construct and the constructs which describe measurement locations and cell properties. It is useful to define an abstract generic coordinate construct that can be used to refer to coordinates when the their type (dimension or auxiliary coordinate construct) is not an issue.</em></span><a class="headerlink" href="#id4" title="Link to this image"></a></p>
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<p><span class="caption-text"><em>The constructs of the CF data model described using UML. The field construct corresponds to a CF-netCDF data variable. The domain construct provides the linkage between the field construct and the constructs which describe measurement locations and cell properties. It is useful to define an abstract generic coordinate construct that can be used to refer to coordinates when their type (dimension or auxiliary coordinate construct) is not an issue.</em></span><a class="headerlink" href="#id4" title="Link to this image"></a></p>
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<h2><a class="toc-backref" href="#id11" role="doc-backlink"><strong>References</strong></a><a class="headerlink" href="#references" title="Link to this heading"></a></h2>
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<dt>Eaton, B., Gregory, J., Drach, B., Taylor, K., Hankin, S., Caron, J.,</dt><dd><p>Signell, R., et al. NetCDF Climate and Forecast (CF) Metadata
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Conventions. CF Conventions Committee.
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