Description
What happened:
Slicing into a DataArray along time with a CFTimeIndex fails since upgrade to pandas 1.3
What you expected to happen:
The usual.
Minimal Complete Verifiable Example:
import xarray as xr
t = xr.cftime_range('2000-01-01', '2030-12-31', freq='D', calendar='noleap')
ref = xr.DataArray(range(len(t)), dims=('time',), coords={'time': t})
ref.sel(time=slice(None, "2015-01-01"))---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-5-3afe7d577940> in <module>
----> 1 ref.sel(time=slice(None, "2015-01-01"))
~/.conda/envs/xclim/lib/python3.8/site-packages/xarray/core/dataarray.py in sel(self, indexers, method, tolerance, drop, **indexers_kwargs)
1269 Dimensions without coordinates: points
1270 """
-> 1271 ds = self._to_temp_dataset().sel(
1272 indexers=indexers,
1273 drop=drop,
~/.conda/envs/xclim/lib/python3.8/site-packages/xarray/core/dataset.py in sel(self, indexers, method, tolerance, drop, **indexers_kwargs)
2363 """
2364 indexers = either_dict_or_kwargs(indexers, indexers_kwargs, "sel")
-> 2365 pos_indexers, new_indexes = remap_label_indexers(
2366 self, indexers=indexers, method=method, tolerance=tolerance
2367 )
~/.conda/envs/xclim/lib/python3.8/site-packages/xarray/core/coordinates.py in remap_label_indexers(obj, indexers, method, tolerance, **indexers_kwargs)
419 }
420
--> 421 pos_indexers, new_indexes = indexing.remap_label_indexers(
422 obj, v_indexers, method=method, tolerance=tolerance
423 )
~/.conda/envs/xclim/lib/python3.8/site-packages/xarray/core/indexing.py in remap_label_indexers(data_obj, indexers, method, tolerance)
272 coords_dtype = data_obj.coords[dim].dtype
273 label = maybe_cast_to_coords_dtype(label, coords_dtype)
--> 274 idxr, new_idx = convert_label_indexer(index, label, dim, method, tolerance)
275 pos_indexers[dim] = idxr
276 if new_idx is not None:
~/.conda/envs/xclim/lib/python3.8/site-packages/xarray/core/indexing.py in convert_label_indexer(index, label, index_name, method, tolerance)
119 "cannot use ``method`` argument if any indexers are slice objects"
120 )
--> 121 indexer = index.slice_indexer(
122 _sanitize_slice_element(label.start),
123 _sanitize_slice_element(label.stop),
~/.conda/envs/xclim/lib/python3.8/site-packages/pandas/core/indexes/base.py in slice_indexer(self, start, end, step, kind)
5684 slice(1, 3, None)
5685 """
-> 5686 start_slice, end_slice = self.slice_locs(start, end, step=step)
5687
5688 # return a slice
~/.conda/envs/xclim/lib/python3.8/site-packages/pandas/core/indexes/base.py in slice_locs(self, start, end, step, kind)
5892 end_slice = None
5893 if end is not None:
-> 5894 end_slice = self.get_slice_bound(end, "right")
5895 if end_slice is None:
5896 end_slice = len(self)
~/.conda/envs/xclim/lib/python3.8/site-packages/pandas/core/indexes/base.py in get_slice_bound(self, label, side, kind)
5796 # For datetime indices label may be a string that has to be converted
5797 # to datetime boundary according to its resolution.
-> 5798 label = self._maybe_cast_slice_bound(label, side)
5799
5800 # we need to look up the label
TypeError: _maybe_cast_slice_bound() missing 1 required positional argument: 'kind'Anything else we need to know?:
A quick diagnostic suggests that convert_label_indexer should call pandas.Index.slice_indexer with a kind argument.
Environment:
Output of xr.show_versions()
INSTALLED VERSIONS
commit: None
python: 3.8.6 | packaged by conda-forge | (default, Jan 25 2021, 23:21:18)
[GCC 9.3.0]
python-bits: 64
OS: Linux
OS-release: 5.4.0-77-generic
machine: x86_64
processor: x86_64
byteorder: little
LC_ALL: None
LANG: en_CA.UTF-8
LOCALE: ('en_CA', 'UTF-8')
libhdf5: 1.10.6
libnetcdf: 4.7.4
xarray: 0.18.2
pandas: 1.3.0
numpy: 1.20.0
scipy: 1.6.3
netCDF4: 1.5.5.1
pydap: None
h5netcdf: None
h5py: None
Nio: None
zarr: None
cftime: 1.4.1
nc_time_axis: 1.2.0
PseudoNetCDF: None
rasterio: None
cfgrib: None
iris: None
bottleneck: 1.3.2
dask: 2021.01.1
distributed: 2021.01.1
matplotlib: 3.4.2
cartopy: None
seaborn: None
numbagg: None
pint: 0.16.1
setuptools: 49.6.0.post20210108
pip: 21.0.1
conda: None
pytest: 6.2.2
IPython: 7.20.0
sphinx: 4.0.2