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  • mathause · 1 ✖

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  • open_mfdataset fails with cftime index when using parallel and dask delayed client · 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
1026641184 https://github.com/pydata/xarray/issues/6226#issuecomment-1026641184 https://api.github.com/repos/pydata/xarray/issues/6226 IC_kwDOAMm_X849MU0g mathause 10194086 2022-02-01T09:34:48Z 2022-02-01T09:34:48Z MEMBER

Smaller repro

python import xarray as xr import pickle t = xr.cftime_range("20010101", "20010520") pickle.loads(pickle.dumps(t)) Looks like pandas now passes dtype on to __new__ which CFTimeIndex.__new__ does not accept:

https://github.com/pydata/xarray/blob/fe491b14b113c185b5b9a18e4f643e5a73208629/xarray/coding/cftimeindex.py#L313

Might be pandas-dev/pandas#43188. So CFTimeIndex.__new__ might need to accept dtype? @spencerkclark 

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   open_mfdataset fails with cftime index when using parallel and dask delayed client 1120276279

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