November 17, 2021 Presentation Open Access

Cherian, Deepak

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    <subfield code="a">&lt;p&gt;The &amp;quot;groupby&amp;quot; or the &amp;quot;split-apply-combine&amp;quot; paradigm is ubiquitous in scientific analysis, though it may be named differently e.g. &amp;quot;binning&amp;quot;, &amp;quot;histogramming&amp;quot;, &amp;quot;resampling&amp;quot;, &amp;quot;compositing&amp;quot;, or &amp;quot;climatology reductions&amp;quot;. Xarray implements the groupby paradigm through a &amp;quot;GroupBy&amp;quot; object. Historically the underlying algorithm is not dask-aware, and tends to fail disastrously with large Pangeo-scale distributed workflows.&amp;nbsp;Here I present &amp;quot;flox&amp;quot;: a new package that explores effective strategies for groupby reductions at scale with dask. Ongoing work will plug this package in to xarray in a backwards-compatible manner, allowing the community to seamlessly benefit from significantly more efficient groupby computations.See&amp;nbsp;https://flox.readthedocs.io&amp;nbsp;for more.&lt;/p&gt;</subfield>
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