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  • mrocklin · 1 ✖

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  • lazily load dask arrays to dask data frames by calling to_dask_dataframe · 1 ✖

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id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
338392039 https://github.com/pydata/xarray/pull/1489#issuecomment-338392039 https://api.github.com/repos/pydata/xarray/issues/1489 MDEyOklzc3VlQ29tbWVudDMzODM5MjAzOQ== mrocklin 306380 2017-10-21T12:47:34Z 2017-10-21T12:47:34Z MEMBER

I think that you would want to rechunk the dask.array so that its chunks align with the outputs divisions of the dask.dataframe. For example if you have a 2d array and are partitioning along the x-axis then you will want to align the array so that there is no chunking along the y axis. In this case set_index will also be free because your data is already aligned and you already know (I think) the division values.

 
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   lazily load dask arrays to dask data frames by calling to_dask_dataframe  245624267

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