issues: 937508115

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id node_id number title user state locked assignee milestone comments created_at updated_at closed_at author_association active_lock_reason draft pull_request body reactions performed_via_github_app state_reason repo type
937508115 MDU6SXNzdWU5Mzc1MDgxMTU= 5581 Error slicing CFTimeIndex with Pandas 1.3 161133 closed 0     4 2021-07-06T04:28:00Z 2021-07-23T21:53:51Z 2021-07-23T21:53:51Z CONTRIBUTOR      

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:

```python import xarray as xr import cftime import numpy as np

units = 'days since 2000-01-01 00:00' time_365 = cftime.num2date(np.arange(0, 10 * 365), units, '365_day')

da = xr.DataArray(np.arange(time_365.size), coords = [time_365], dims = 'time') da.sel(time=slice('2000-02','2000-06')) ```

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 ```python import xarray as xr import pandas as pd import numpy as np

time = pd.date_range('20000101','20100101', freq='D')

da = xr.DataArray(np.arange(time.size), coords = [time], dims = 'time') da.sel(time=slice('2000-02','2000-06')) ```

Environment:

Output of <tt>xr.show_versions()</tt> 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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   completed 13221727 issue

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