issue_comments: 881106553

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html_url issue_url id node_id user created_at updated_at author_association body reactions performed_via_github_app issue
https://github.com/pydata/xarray/issues/5604#issuecomment-881106553 https://api.github.com/repos/pydata/xarray/issues/5604 881106553 IC_kwDOAMm_X840hJ55 49487505 2021-07-16T01:13:11Z 2021-07-16T01:13:11Z NONE

For Ubar it says dask.array<where, shape=(59, 1100, 1249), dtype=float64, chunksize=(59, 1100, 1249), chunktype=numpy.ndarray> But for U it says dask.array<concatenate, shape=(59, 35, 1100, 1249), dtype=float64, chunksize=(1, 1, 1100, 1249), chunktype=numpy.ndarray> Those are very different operations, is that the reason for the 1000Gb consumption?

 
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