BUG: Inconsistent to_datetime
behaviour · Issue #57051 · pandas-dev/pandas (original) (raw)
Pandas version checks
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- I have confirmed this bug exists on the latest version of pandas.
- I have confirmed this bug exists on the main branch of pandas.
Reproducible Example
import pandas as pd
pd.to_datetime("1704660000", unit="s", origin="unix") :1: FutureWarning: The behavior of 'to_datetime' with 'unit' when parsing strings is deprecated. In a future version, strings will be parsed as datetime strings, matching the behavior without a 'unit'. To retain the old behavior, explicitly cast ints or floats to numeric type before calling to_datetime. Timestamp('2024-01-07 20:39:28')
pd.to_datetime(1704660000, unit="s", origin="unix") Timestamp('2024-01-07 20:40:00')
Issue Description
Incorrect datetime object generated when unix timestamp is passed as string.
Expected Behavior
The timestamp string should be converted to the correct datetime regarless of the dtype
of the input (string
or int
). Or, raise error if string
inputs are illegal.
The current depracation warning seems to imply that the behaviour is working as expected now, but won't be available in future versions.
Installed Versions
[~] $ pip list | rg "pandas|numpy"
numpy 1.26.1
pandas 2.2.0
pandas-stubs 2.1.4.231218