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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 ✖
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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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 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. |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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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