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  • Issue indexing by xarray's own time values + offset · 2 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
620097623 https://github.com/pydata/xarray/issues/4010#issuecomment-620097623 https://api.github.com/repos/pydata/xarray/issues/4010 MDEyOklzc3VlQ29tbWVudDYyMDA5NzYyMw== keewis 14808389 2020-04-27T16:36:30Z 2020-04-28T11:03:06Z MEMBER

take a look at the result of np.timedelta64(seconds=4): ```python In [2]: np.timedelta64(seconds=4) Out[2]: numpy.timedelta64(0)

In [3]: np.timedelta64(dt.timedelta(seconds=4)) Out[3]: numpy.timedelta64(4000000,'us')

In [4]: np.timedelta64(4, 's').astype("timedelta64[us]") Out[4]: numpy.timedelta64(4000000,'us') `` so you need to also specify the desired unit or cast adt.timedeltaobject. I'm not sure whytimedelta64ignores theseconds` kwarg, though.

 
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   Issue indexing by xarray's own time values + offset 607678694
620456062 https://github.com/pydata/xarray/issues/4010#issuecomment-620456062 https://api.github.com/repos/pydata/xarray/issues/4010 MDEyOklzc3VlQ29tbWVudDYyMDQ1NjA2Mg== leifdenby 2405019 2020-04-28T08:20:16Z 2020-04-28T08:20:32Z CONTRIBUTOR

Ah! It's an issue with how I am using np.timedelta64 then. I (stupidly) assumed that np.timedelta64 has the same call signature as datetime.timedelta. It appears that np.timedelta64 silently ignores any kwargs 😕

Anyway, I won't be making that mistake again. Thank you @keewis !

 
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   Issue indexing by xarray's own time values + offset 607678694

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