Update to_datetime usage for pandas 3.0.0 compatibility#626
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ianepreston merged 1 commit intoianepreston:masterfrom Feb 12, 2026
Merged
Update to_datetime usage for pandas 3.0.0 compatibility#626ianepreston merged 1 commit intoianepreston:masterfrom
ianepreston merged 1 commit intoianepreston:masterfrom
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Pandas 3.0.0 deprecates errors="ignore" in to_datetime, which makes the dataframe formatters fail. I updated it to "coerce", which will attempt to format malformed timestamps. There is also a "raise" alternative, but coerce seems closer to the intent of ignore. pandas-dev/pandas#54467 https://pandas.pydata.org/docs/whatsnew/v3.0.0.html#deprecations
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makes sense, thanks! |
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Pandas 3.0.0 deprecates errors="ignore" in to_datetime, which makes the dataframe formatters fail. I updated it to "coerce", which will attempt to format malformed timestamps. There is also a "raise" alternative, but coerce seems closer to the intent of ignore.
pandas-dev/pandas#54467
https://pandas.pydata.org/docs/whatsnew/v3.0.0.html#deprecations
I haven't extensively tested the whole package against pandas 3.0.0, but these fixes were necessary for my usage of the basic vector and table download functions on a recent install of stats-can in a new dev environment.