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  • aidanheerdegen · 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
1026580368 https://github.com/pydata/xarray/issues/6226#issuecomment-1026580368 https://api.github.com/repos/pydata/xarray/issues/6226 IC_kwDOAMm_X849MF-Q aidanheerdegen 6063709 2022-02-01T08:19:46Z 2022-02-01T08:31:17Z CONTRIBUTOR

Update: It is pandas that is the critical package. Pinning distributed<2022.01.0, xarray<0.21.0 and cftime<1.5.2 didn't fix it, but adding pandas<1.4.0 makes the above test pass. Will now try unpinning other packages and confirm it is pandas that is the issue.

Edit: Confirmed it is pandas==1.4.0 that causes this issue. Following version combination does not produce this error: ``` INSTALLED VERSIONS

commit: None python: 3.9.10 | packaged by conda-forge | (main, Jan 30 2022, 18:04:04) [GCC 9.4.0] python-bits: 64 OS: Linux OS-release: 4.18.0-348.2.1.el8.nci.x86_64 machine: x86_64 processor: x86_64 byteorder: little LC_ALL: en_AU.utf8 LANG: en_AU.ISO8859-1 LOCALE: ('en_US', 'UTF-8') libhdf5: 1.10.6 libnetcdf: 4.7.4

xarray: 0.21.0 pandas: 1.3.5 numpy: 1.22.1 scipy: 1.7.3 netCDF4: 1.5.6 pydap: installed h5netcdf: 0.13.1 h5py: 3.6.0 Nio: None zarr: 2.10.3 cftime: 1.5.2 nc_time_axis: 1.4.0 PseudoNetCDF: None rasterio: 1.2.6 cfgrib: 0.9.10.0 iris: 3.1.0 bottleneck: 1.3.2 dask: 2022.01.1 distributed: 2022.01.1 matplotlib: 3.5.1 cartopy: 0.19.0.post1 seaborn: 0.11.2 numbagg: None fsspec: 2022.01.0 cupy: 10.1.0 pint: 0.18 sparse: 0.13.0 setuptools: 59.8.0 pip: 21.3.1 conda: 4.11.0 pytest: 6.2.5 IPython: 8.0.1 sphinx: 4.4.0 ```

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

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