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  • spencerkclark · 2 ✖

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  • Raise error when datetime64 or timedelta64 values that are outside the valid range for ns precision are converted to ns precision · 2 ✖

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  • MEMBER · 2 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
701095631 https://github.com/pydata/xarray/pull/4454#issuecomment-701095631 https://api.github.com/repos/pydata/xarray/issues/4454 MDEyOklzc3VlQ29tbWVudDcwMTA5NTYzMQ== spencerkclark 6628425 2020-09-30T00:50:55Z 2020-09-30T00:50:55Z MEMBER

Thanks again @andrewpauling!

 
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   Raise error when datetime64 or timedelta64 values that are outside the valid range for ns precision are converted to ns precision 707745196
698670864 https://github.com/pydata/xarray/pull/4454#issuecomment-698670864 https://api.github.com/repos/pydata/xarray/issues/4454 MDEyOklzc3VlQ29tbWVudDY5ODY3MDg2NA== spencerkclark 6628425 2020-09-25T01:30:05Z 2020-09-25T23:56:23Z MEMBER

You're absolutely right @andrewpauling -- pandas currently doesn't seem to have overflow protection in the case of casting timedelta64 types. I wrongly assumed that it would! I went ahead and opened an issue there: https://github.com/pandas-dev/pandas/issues/36615. We'll see what they say.

For now maybe you can add the test and attach an expected failure decorator to it?

In researching this, I came across https://github.com/numpy/numpy/issues/16352; if that eventually gets addressed this might all be moot.

 
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   Raise error when datetime64 or timedelta64 values that are outside the valid range for ns precision are converted to ns precision 707745196

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