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  • dcherian · 2 ✖

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  • xarray groupby/map fails to parallelize · 2 ✖

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583682751 https://github.com/pydata/xarray/issues/3762#issuecomment-583682751 https://api.github.com/repos/pydata/xarray/issues/3762 MDEyOklzc3VlQ29tbWVudDU4MzY4Mjc1MQ== dcherian 2448579 2020-02-08T01:22:12Z 2020-02-08T01:22:12Z MEMBER 
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   xarray groupby/map fails to parallelize 561921094
583659669 https://github.com/pydata/xarray/issues/3762#issuecomment-583659669 https://api.github.com/repos/pydata/xarray/issues/3762 MDEyOklzc3VlQ29tbWVudDU4MzY1OTY2OQ== dcherian 2448579 2020-02-07T23:28:41Z 2020-02-07T23:28:41Z MEMBER

sonar_data is a numpy array; it needs to be a dask array for things to be computed lazily.

Try adding channel = channel.chunk({"time": 1, "depth_bin":-1}). It should then "just work" but I haven;t looked too closely. You'll need to call normalized_depth_data.load() to actually get concrete values.

 
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   xarray groupby/map fails to parallelize 561921094

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