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/4000#issuecomment-619003228,https://api.github.com/repos/pydata/xarray/issues/4000,619003228,MDEyOklzc3VlQ29tbWVudDYxOTAwMzIyOA==,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](https://docs.dask.org/en/latest/diagnostics-local.html#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)`)","{""total_count"": 3, ""+1"": 3, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,606165039