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  • open_mfdataset fails with cftime index when using parallel and dask delayed client · 3 ✖

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1026812348 https://github.com/pydata/xarray/issues/6226#issuecomment-1026812348 https://api.github.com/repos/pydata/xarray/issues/6226 IC_kwDOAMm_X849M-m8 spencerkclark 6628425 2022-02-01T12:55:34Z 2022-02-01T12:55:34Z MEMBER

Awesome, thanks @antarcticrainforest -- yes, it will always have an object dtype.

 
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   open_mfdataset fails with cftime index when using parallel and dask delayed client 1120276279
1026701337 https://github.com/pydata/xarray/issues/6226#issuecomment-1026701337 https://api.github.com/repos/pydata/xarray/issues/6226 IC_kwDOAMm_X849MjgZ spencerkclark 6628425 2022-02-01T10:39:28Z 2022-02-01T10:39:28Z MEMBER

Thanks @antarcticrainforest -- I think that's exactly what @mathause is getting at. It seems fairly safe to add a new keyword argument to CFTimeIndex.__new__, and the example @mathause uses would make a nice test. Would either of you be up to make a PR?

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