pandas.DatetimeIndex.strftime#

DatetimeIndex.strftime(date_format)[source]#

Convert to Index using specified date_format.

Return an Index of formatted strings specified by date_format, whichsupports the same string format as the python standard library. Detailsof the string format can be found inpython string formatdoc.

Formats supported by the Cstrftime API but not by the python string formatdoc (such as“%R”,“%r”) are not officially supported and should bepreferably replaced with their supported equivalents (such as“%H:%M”,“%I:%M:%S %p”).

Note thatPeriodIndex support additional directives, detailed inPeriod.strftime.

Parameters:

date_formatstr

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.

DatetimeIndex.round

Round the DatetimeIndex to the specified freq.

DatetimeIndex.floor

Floor the DatetimeIndex to the specified freq.

Timestamp.strftime

Format a single Timestamp.

Period.strftime

Format a single Period.

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')