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  • Selection with datetime64[ns] fails with Pandas 1.1.0 · 1 ✖

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  • CONTRIBUTOR · 1 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
665435320 https://github.com/pydata/xarray/issues/4283#issuecomment-665435320 https://api.github.com/repos/pydata/xarray/issues/4283 MDEyOklzc3VlQ29tbWVudDY2NTQzNTMyMA== dopplershift 221526 2020-07-29T05:13:27Z 2020-07-29T05:13:27Z CONTRIBUTOR

Looks like (to my eye anyway) it stems from: ```python import numpy as np import pandas as pd t = np.array(['2017-09-05T12:00:00.000000000', '2017-09-05T15:00:00.000000000'], dtype='datetime64[ns]') index = pd.DatetimeIndex(t)

index.get_loc(t[0].item()) # Fails with KeyError index.get_loc(t[0]) # Works `` Fails on 1.1.0. What I have no idea is whether the.item()` call is supposed to work. 

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   Selection with datetime64[ns] fails with Pandas 1.1.0 667550022

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