pandas.PeriodIndex.strftime
- PeriodIndex. strftime ( *args, **kwargs ) [source]
-
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. Details of the string format can be found in python string format doc.
- Parameters
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- date_format :str
-
Date format string (e.g. “%Y-%m-%d”).
- Returns
-
- ndarray[object]
-
NumPy ndarray of formatted strings.
See also
-
to_datetime
-
Convert the given argument to datetime.
-
DatetimeIndex.normalize
-
Return DatetimeIndex with times to midnight.
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DatetimeIndex.round
-
Round the DatetimeIndex to the specified freq.
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DatetimeIndex.floor
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Floor the DatetimeIndex to the specified freq.
Examples
>>> rng = pd.date_range(pd.Timestamp("2018-03-10 09:00"), ... periods=3, freq='s') >>> rng.strftime('%B %d, %Y, %r') Index(['March 10, 2018, 09:00:00 AM', 'March 10, 2018, 09:00:01 AM', 'March 10, 2018, 09:00:02 AM'], dtype='object')
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Licensed under the 3-clause BSD License.
https://pandas.pydata.org/pandas-docs/version/1.4.0/reference/api/pandas.PeriodIndex.strftime.html