pandas.Period.strftime

Period.strftime()

Returns the string representation of the Period, depending on the selected fmt. fmt must be a string containing one or several directives. 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. (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 [01,04]
%S Second as a decimal number [00,61]. (4)
%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.

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

>>> 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-2006'
>>> a.strftime('%b. %d, %Y was a %A')
'Jan. 01, 2001 was a Monday'

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Licensed under the 3-clause BSD License.
https://pandas.pydata.org/pandas-docs/version/0.23.4/generated/pandas.Period.strftime.html