dtoolkit.accessor.series.to_datetime#

dtoolkit.accessor.series.to_datetime(s: Series, /, **kwargs) → Series[source]#

Convert Series to datetime type.

A sugary syntax wraps:

pd.to_datetime(s, **kwargs)

Parameters:

**kwargs: Keyword arguments to pass to pandas.to_datetime().

Returns:

Series(datetime64[ns])

See also

pandas.to_datetime

Notes

DataFrame.to_datetime could use janitor.functions.to_datetime.

Examples

>>> import dtoolkit
>>> import pandas as pd
>>> s = pd.Series(['20200101', '20200202', '20200303'])
>>> s
0    20200101
1    20200202
2    20200303
dtype: object
>>> s.to_datetime(format='%Y%m%d')
0   2020-01-01
1   2020-02-02
2   2020-03-03
dtype: datetime64[ns]