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- Selection with datetime64[ns] fails with Pandas 1.1.0 · 2 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
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666094337 | https://github.com/pydata/xarray/issues/4283#issuecomment-666094337 | https://api.github.com/repos/pydata/xarray/issues/4283 | MDEyOklzc3VlQ29tbWVudDY2NjA5NDMzNw== | SpacemanPaul 4548530 | 2020-07-30T04:20:55Z | 2020-07-30T04:20:55Z | NONE | The OpenDataCube is being affected by this also. |
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Selection with datetime64[ns] fails with Pandas 1.1.0 667550022 | |
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
|
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Selection with datetime64[ns] fails with Pandas 1.1.0 667550022 |
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