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https://github.com/pydata/xarray/issues/1240#issuecomment-682393298 https://api.github.com/repos/pydata/xarray/issues/1240 682393298 MDEyOklzc3VlQ29tbWVudDY4MjM5MzI5OA== 500246 2020-08-28T08:14:26Z 2020-08-28T08:14:26Z CONTRIBUTOR

This was closed and was solved for slicing, but not for element indexing:

python import xarray as xr import numpy as np da = xr.DataArray([0, 1], dims=("time",), coords={"time": np.array([0, 1], dtype="M8[s]")}) da.sel(time=da.coords["time"][0])

results in

Traceback (most recent call last): File "mwe83.py", line 4, in <module> da.sel(time=da.coords["time"][0]) File "/data/gholl/miniconda3/envs/py38/lib/python3.8/site-packages/xarray/core/dataarray.py", line 1142, in sel ds = self._to_temp_dataset().sel( File "/data/gholl/miniconda3/envs/py38/lib/python3.8/site-packages/xarray/core/dataset.py", line 2096, in sel pos_indexers, new_indexes = remap_label_indexers( File "/data/gholl/miniconda3/envs/py38/lib/python3.8/site-packages/xarray/core/coordinates.py", line 395, in remap_label_indexers pos_indexers, new_indexes = indexing.remap_label_indexers( File "/data/gholl/miniconda3/envs/py38/lib/python3.8/site-packages/xarray/core/indexing.py", line 270, in remap_label_indexers idxr, new_idx = convert_label_indexer(index, label, dim, method, tolerance) File "/data/gholl/miniconda3/envs/py38/lib/python3.8/site-packages/xarray/core/indexing.py", line 189, in convert_label_indexer indexer = index.get_loc( File "/data/gholl/miniconda3/envs/py38/lib/python3.8/site-packages/pandas/core/indexes/datetimes.py", line 622, in get_loc raise KeyError(key) KeyError: 0

using xarray 0.15.2.dev64+g2542a63f (latest master). I think it would be desirable that it works in both cases. Should we reopen this issue or should I open a new?

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