BUG: UserWarning about lacking infer_datetime_format with pd.to_datetime · Issue #46210 · pandas-dev/pandas (original) (raw)

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Reproducible Example

df['date'] = pd.to_datetime(df['date'], infer_datetime_format=True, utc=True, errors='ignore')

Issue Description

When I run this code, I get the following warning:

"UserWarning: Parsing '15/09/1979' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing."

Which is strange, because I already have set infer_datetime_format=True.

Expected Behavior

You would expect no warning at all, since "infer_datetime_format=True" is already provided as an argument.

Installed Versions

pymysql : None html5lib : None lxml.etree : 4.8.0 xlsxwriter : None feather : None blosc : None sphinx : None hypothesis : None pytest : 6.2.5 Cython : None setuptools : 58.1.0 pip : 22.0.3 dateutil : 2.8.2 pytz : 2021.3 numpy : 1.22.2 pandas : 1.4.1