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Not able to slice dataset using its own coordinate value, after upgrade to pandas 1.1.0 #4370

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@russ-schumacher

Description

@russ-schumacher

I seem to be having the same issue that was reported here: #1932, after upgrading pandas to 1.1.0. The error does not arise with pandas 1.0.3.

Example:
import xarray as
ds = xr.tutorial.load_dataset('air_temperature')
da = ds.air
da.sel(time=da.time[0])

Result is:
`---------------------------------------------------------------------------
KeyError Traceback (most recent call last)
in
----> 1 da.sel(time=da.time[0])
2 #da.time

~/miniconda3/envs/ats641/lib/python3.7/site-packages/xarray/core/dataarray.py in sel(self, indexers, method, tolerance, drop, **indexers_kwargs)
1152 method=method,
1153 tolerance=tolerance,
-> 1154 **indexers_kwargs,
1155 )
1156 return self._from_temp_dataset(ds)

~/miniconda3/envs/ats641/lib/python3.7/site-packages/xarray/core/dataset.py in sel(self, indexers, method, tolerance, drop, **indexers_kwargs)
2100 indexers = either_dict_or_kwargs(indexers, indexers_kwargs, "sel")
2101 pos_indexers, new_indexes = remap_label_indexers(
-> 2102 self, indexers=indexers, method=method, tolerance=tolerance
2103 )
2104 result = self.isel(indexers=pos_indexers, drop=drop)

~/miniconda3/envs/ats641/lib/python3.7/site-packages/xarray/core/coordinates.py in remap_label_indexers(obj, indexers, method, tolerance, **indexers_kwargs)
395
396 pos_indexers, new_indexes = indexing.remap_label_indexers(
--> 397 obj, v_indexers, method=method, tolerance=tolerance
398 )
399 # attach indexer's coordinate to pos_indexers

~/miniconda3/envs/ats641/lib/python3.7/site-packages/xarray/core/indexing.py in remap_label_indexers(data_obj, indexers, method, tolerance)
268 coords_dtype = data_obj.coords[dim].dtype
269 label = maybe_cast_to_coords_dtype(label, coords_dtype)
--> 270 idxr, new_idx = convert_label_indexer(index, label, dim, method, tolerance)
271 pos_indexers[dim] = idxr
272 if new_idx is not None:

~/miniconda3/envs/ats641/lib/python3.7/site-packages/xarray/core/indexing.py in convert_label_indexer(index, label, index_name, method, tolerance)
188 else:
189 indexer = index.get_loc(
--> 190 label.item(), method=method, tolerance=tolerance
191 )
192 elif label.dtype.kind == "b":

~/miniconda3/envs/ats641/lib/python3.7/site-packages/pandas/core/indexes/datetimes.py in get_loc(self, key, method, tolerance)
620 else:
621 # unrecognized type
--> 622 raise KeyError(key)
623
624 try:

KeyError: 1356998400000000000`

Output of xr.show_versions() is:
`
INSTALLED VERSIONS

commit: None
python: 3.7.6 | packaged by conda-forge | (default, Jan 7 2020, 22:05:27)
[Clang 9.0.1 ]
python-bits: 64
OS: Darwin
OS-release: 19.6.0
machine: x86_64
processor: i386
byteorder: little
LC_ALL: None
LANG: en_US.UTF-8
LOCALE: en_US.UTF-8
libhdf5: 1.10.5
libnetcdf: 4.7.3

xarray: 0.16.0
pandas: 1.1.0
numpy: 1.18.1
scipy: 1.5.2
netCDF4: 1.5.3
pydap: None
h5netcdf: None
h5py: None
Nio: 1.5.5
zarr: None
cftime: 1.2.1
nc_time_axis: None
PseudoNetCDF: None
rasterio: None
cfgrib: 0.9.8.3
iris: None
bottleneck: None
dask: 2.20.0
distributed: None
matplotlib: 3.1.3
cartopy: 0.17.0
seaborn: 0.10.1
numbagg: None
pint: 0.15
setuptools: 49.6.0.post20200814
pip: 20.0.2
conda: None
pytest: None
IPython: 7.17.0
sphinx: None
`

With pandas 1.0.3, da.sel(time=da.time[0]) works correctly and returns a slice.

Thanks for any help you can offer!

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