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  • TomNicholas · 1 ✖

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  • Add hook to get progress of long-running operations · 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
619003228 https://github.com/pydata/xarray/issues/4000#issuecomment-619003228 https://api.github.com/repos/pydata/xarray/issues/4000 MDEyOklzc3VlQ29tbWVudDYxOTAwMzIyOA== TomNicholas 35968931 2020-04-24T13:17:46Z 2020-04-24T16:59:25Z MEMBER

If your operation uses dask then you can use the dask progress bar: ```python from dask.diagnostics import ProgressBar

with ProgressBar(): result = analyse(ds) result.plot() It looks like [########################################] | 100% Completed | 34.5 s ```

This works for any operation which calls dask.compute.

(Also by the way @cwerner because .to_dataframe() is a classmethod, you didn't have to initialise the Dataset in your example, you can just do dsout = xr.Dataset.from_dataframe(data))

 
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   Add hook to get progress of long-running operations 606165039

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