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'
pandas.Period.asfreq pandas.Period.to_timestamp