pandas.Period.strftime

Period.strftime(fmt)

Returns a formatted string representation of the Period.

fmt must be None or a string containing one or several directives. When None, the format will be determined from the frequency of the Period. The method recognizes the same directives as the time.strftime() function of the standard Python distribution, as well as the specific additional directives %f, %F, %q, %l, %u, %n. (formatting & docs originally from scikits.timeries).

Directive	Meaning	Notes
%a	Locale’s abbreviated weekday name.
%A	Locale’s full weekday name.
%b	Locale’s abbreviated month name.
%B	Locale’s full month name.
%c	Locale’s appropriate date and time representation.
%d	Day of the month as a decimal number [01,31].
%f	‘Fiscal’ year without a century as a decimal number [00,99]	(1)
%F	‘Fiscal’ year with a century as a decimal number	(2)
%H	Hour (24-hour clock) as a decimal number [00,23].
%I	Hour (12-hour clock) as a decimal number [01,12].
%j	Day of the year as a decimal number [001,366].
%m	Month as a decimal number [01,12].
%M	Minute as a decimal number [00,59].
%p	Locale’s equivalent of either AM or PM.	(3)
%q	Quarter as a decimal number [1,4]
%S	Second as a decimal number [00,61].	(4)
%l	Millisecond as a decimal number [000,999].
%u	Microsecond as a decimal number [000000,999999].
%n	Nanosecond as a decimal number [000000000,999999999].
%U	Week number of the year (Sunday as the first day of the week) as a decimal number [00,53]. All days in a new year preceding the first Sunday are considered to be in week 0.	(5)
%w	Weekday as a decimal number [0(Sunday),6].
%W	Week number of the year (Monday as the first day of the week) as a decimal number [00,53]. All days in a new year preceding the first Monday are considered to be in week 0.	(5)
%x	Locale’s appropriate date representation.
%X	Locale’s appropriate time representation.
%y	Year without century as a decimal number [00,99].
%Y	Year with century as a decimal number.
%Z	Time zone name (no characters if no time zone exists).
%%	A literal '%' character.

The strftime method provides a way to represent a Period object as a string in a specified format. This is particularly useful when displaying date and time data in different locales or customized formats, suitable for reports or user interfaces. It extends the standard Python string formatting capabilities with additional directives specific to pandas, accommodating features like fiscal years and precise sub-second components.

Parameters:

fmtstr or None

String containing the desired format directives. If None, the format is determined based on the Period’s frequency.

See also

Timestamp.strftime

Return a formatted string of the Timestamp.

to_datetime

Convert argument to datetime.

time.strftime

Format a time object as a string according to a specified format string in the standard Python library.

Notes

1. The %f directive is the same as %y if the frequency is not quarterly. Otherwise, it corresponds to the ‘fiscal’ year, as defined by the qyear attribute.

2. The %F directive is the same as %Y if the frequency is not quarterly. Otherwise, it corresponds to the ‘fiscal’ year, as defined by the qyear attribute.

3. The %p directive only affects the output hour field if the %I directive is used to parse the hour.

4. The range really is 0 to 61; this accounts for leap seconds and the (very rare) double leap seconds.

5. The %U and %W directives are only used in calculations when the day of the week and the year are specified.

Examples

>>> from pandas import Period
>>> a = Period(freq='Q-JUL', year=2006, quarter=1)
>>> a.strftime('%F-Q%q')
'2006-Q1'
>>> # Output the last month in the quarter of this date
>>> a.strftime('%b-%Y')
'Oct-2005'
>>>
>>> a = Period(freq='D', year=2001, month=1, day=1)
>>> a.strftime('%d-%b-%Y')
'01-Jan-2001'
>>> a.strftime('%b. %d, %Y was a %A')
'Jan. 01, 2001 was a Monday'