DatetimeIndex.strftime(date_format)
[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: |
date_format : str Date format string (e.g. ā%Y-%m-%dā). |
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Returns: |
Index Index of formatted strings |
See also
pandas.to_datetime
DatetimeIndex.normalize
DatetimeIndex.round
DatetimeIndex.floor
>>> 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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http://pandas.pydata.org/pandas-docs/version/0.23.4/generated/pandas.DatetimeIndex.strftime.html