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- datetime64 data type in arrays is always 'datetime64[ns]' · 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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909298221 | https://github.com/pydata/xarray/issues/5750#issuecomment-909298221 | https://api.github.com/repos/pydata/xarray/issues/5750 | IC_kwDOAMm_X842Msot | dcherian 2448579 | 2021-08-31T14:37:21Z | 2021-08-31T14:37:21Z | MEMBER | Thanks @sjsmith757 . Can you send in a PR to improve the documentation on that points? We have documentation on contributing to the docs here: https://xarray.pydata.org/en/stable/contributing.html#contributing-to-the-documentation |
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datetime64 data type in arrays is always 'datetime64[ns]' 982973379 | |
908526277 | https://github.com/pydata/xarray/issues/5750#issuecomment-908526277 | https://api.github.com/repos/pydata/xarray/issues/5750 | IC_kwDOAMm_X842JwLF | sjsmith757 45645265 | 2021-08-30T17:15:49Z | 2021-08-30T17:15:49Z | NONE | Actually I am guessing this is related to the underlying pandas.DatetimeIndex, which I guess only supports units of 'ns'. So perhaps there isn't much that can be done at this time, but it is not ideal to have to go to pandas documentation to see that. It is sort of suggested here, but perhaps it could be made more explicit |
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datetime64 data type in arrays is always 'datetime64[ns]' 982973379 |
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