Pandas Series: dt.strftime() function

Series.dt.strftime() function

The dt.strftime() function is used to convert to Index using specified date_format.
Return an Index of formatted strings specified by date_format, which supports the same string format as the python standard library.

Syntax:

Series.dt.strftime(self, *args, **kwargs)

Parameter:

Returns: DatetimeArray, DatetimeIndex or Series
The same type as the original data. Series will have the same name and index. DatetimeIndex will have the same name.

Example:

Python-Pandas Code:

import numpy as np
import pandas as pd
rng = pd.date_range(pd.Timestamp("2019-04-10 09:00"),
                    periods=3, freq='s')
rng.strftime('%B %d, %Y, %r')

Output:

Index(['April 10, 2019, 09:00:00 AM', 'April 10, 2019, 09:00:01 AM',
       'April 10, 2019, 09:00:02 AM'],
      dtype='object')

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