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_sources/intermediate/01-high-level-computation-patterns.ipynb

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"For instance, grouping data by month (which have varying numbers of days) or the results of an image classification.\n",
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"The GroupBy functions are essentially a generalization of `coarsen`: \n",
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"\n",
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"- `groupby`: divide data into distinct groups, e.g. climatologies, composites. Works best when the \"group indentifiers\" or \"labels\" are exact and can be determined using equality (`==`), e.g. characters or integers. Remember that floats are not exact values.\n",
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"- `groupby`: divide data into distinct groups, e.g. climatologies, composites. Works best when the \"group identifiers\" or \"labels\" are exact and can be determined using equality (`==`), e.g. characters or integers. Remember that floats are not exact values.\n",
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"- `groupby_bins`: Use binning operations, e.g. histograms, to group your data.\n",
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"- `resample`: Specialized implementation of GroupBy specifically for time grouping (so far), allows you to change sampling frequency of dataset.\n",
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"\n",

intermediate/01-high-level-computation-patterns.html

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For instance, grouping data by month (which have varying numbers of days) or the results of an image classification.
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The GroupBy functions are essentially a generalization of <code class="docutils literal notranslate"><span class="pre">coarsen</span></code>:</p>
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<ul class="simple">
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<li><p><code class="docutils literal notranslate"><span class="pre">groupby</span></code>: divide data into distinct groups, e.g. climatologies, composites. Works best when the “group indentifiers” or “labels” are exact and can be determined using equality (<code class="docutils literal notranslate"><span class="pre">==</span></code>), e.g. characters or integers. Remember that floats are not exact values.</p></li>
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<li><p><code class="docutils literal notranslate"><span class="pre">groupby</span></code>: divide data into distinct groups, e.g. climatologies, composites. Works best when the “group identifiers” or “labels” are exact and can be determined using equality (<code class="docutils literal notranslate"><span class="pre">==</span></code>), e.g. characters or integers. Remember that floats are not exact values.</p></li>
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<li><p><code class="docutils literal notranslate"><span class="pre">groupby_bins</span></code>: Use binning operations, e.g. histograms, to group your data.</p></li>
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<li><p><code class="docutils literal notranslate"><span class="pre">resample</span></code>: Specialized implementation of GroupBy specifically for time grouping (so far), allows you to change sampling frequency of dataset.</p></li>
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</ul>

searchindex.js

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