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Error slicing CFTimeIndex with Pandas 1.3 #5581
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Thanks @ScottWales -- this should be fixed in the next release of xarray. Our upstream build caught it a few weeks ago and we addressed the issue in #5359. |
we should probably publish a release soon |
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I just stumbled over this in the cmip6_preprocessing CI. I would really appreciate a bugfix release. Cheers. |
We just released v0.19.0 in #5588 so this should now be fixed! Sorry for the wait! |
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What happened:
Slicing a DataArray with a CFTime time axis gives an error
TypeError: _maybe_cast_slice_bound() missing 1 required positional argument: 'kind'
What you expected to happen:
The slice should return elements 31 to 180
Minimal Complete Verifiable Example:
Anything else we need to know?:
It appears to be a compatibility issue between Pandas 1.3.0 and Xarray 0.18.2, with Pandas 1.2.5 and Xarray 0.18.2 the slice behaves normally. Possibly there has been an interface change that has broken CFTimeIndex.
Using a pure Pandas time axis works fine
Environment:
Output of xr.show_versions()
INSTALLED VERSIONS
commit: None
python: 3.9.5 | packaged by conda-forge | (default, Jun 19 2021, 00:32:32)
[GCC 9.3.0]
python-bits: 64
OS: Linux
OS-release: 4.18.0-305.7.1.el8.nci.x86_64
machine: x86_64
processor: x86_64
byteorder: little
LC_ALL: None
LANG: en.UTF-8
LOCALE: ('en_US', 'UTF-8')
libhdf5: 1.10.6
libnetcdf: 4.7.4
xarray: 0.18.2
pandas: 1.3.0
numpy: 1.21.0
scipy: 1.7.0
netCDF4: 1.5.6
pydap: installed
h5netcdf: 0.11.0
h5py: 3.3.0
Nio: None
zarr: 2.8.3
cftime: 1.4.1
nc_time_axis: 1.2.0
PseudoNetCDF: None
rasterio: 1.2.6
cfgrib: 0.9.9.0
iris: 2.4.0
bottleneck: 1.3.2
dask: 2021.06.2
distributed: 2021.06.2
matplotlib: 3.4.2
cartopy: 0.19.0.post1
seaborn: 0.11.1
numbagg: None
pint: 0.17
setuptools: 52.0.0.post20210125
pip: 21.1.3
conda: 4.10.3
pytest: 6.2.4
IPython: 7.25.0
sphinx: 4.0.3
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