pandas.Period.strftime
-
Period.strftime()
-
Returns the string representation of the
Period
, depending on the selectedfmt
.fmt
must be a string containing one or several directives. The method recognizes the same directives as thetime.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
- The
%f
directive is the same as%y
if the frequency is not quarterly. Otherwise, it corresponds to the ‘fiscal’ year, as defined by theqyear
attribute. - The
%F
directive is the same as%Y
if the frequency is not quarterly. Otherwise, it corresponds to the ‘fiscal’ year, as defined by theqyear
attribute. - The
%p
directive only affects the output hour field if the%I
directive is used to parse the hour. - The range really is
0
to61
; this accounts for leap seconds and the (very rare) double leap seconds. - 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'
- The
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https://pandas.pydata.org/pandas-docs/version/0.23.4/generated/pandas.Period.strftime.html