pandas.PeriodIndex

class pandas.PeriodIndex

Immutable ndarray holding ordinal values indicating regular periods in time.

Index keys are boxed to Period objects which carries the metadata (eg, frequency information).

Parameters

dataarray-like (1d int np.ndarray or PeriodArray), optional

Optional period-like data to construct index with.

copybool

Make a copy of input ndarray.

freqstr or period object, optional

One of pandas period strings or corresponding objects

yearint, array, or Series, default None

monthint, array, or Series, default None

quarterint, array, or Series, default None

dayint, array, or Series, default None

hourint, array, or Series, default None

minuteint, array, or Series, default None

secondint, array, or Series, default None

tzobject, default None

Timezone for converting datetime64 data to Periods.

dtypestr or PeriodDtype, default None

See also

Index

The base pandas Index type.

Period

Represents a period of time.

DatetimeIndex

Index with datetime64 data.

TimedeltaIndex

Index of timedelta64 data.

period_range

Create a fixed-frequency PeriodIndex.

Examples

>>> idx = pd.PeriodIndex(year=year_arr, quarter=q_arr)

Attributes

day	The days of the period.
dayofweek	The day of the week with Monday=0, Sunday=6.
dayofyear	The ordinal day of the year.
days_in_month	The number of days in the month.
daysinmonth	The number of days in the month.
freq	Return the frequency object if it is set, otherwise None.
freqstr	Return the frequency object as a string if its set, otherwise None.
hour	The hour of the period.
is_leap_year	Logical indicating if the date belongs to a leap year.
minute	The minute of the period.
month	The month as January=1, December=12.
quarter	The quarter of the date.
second	The second of the period.
week	The week ordinal of the year.
weekday	The day of the week with Monday=0, Sunday=6.
weekofyear	The week ordinal of the year.
year	The year of the period.

end_time
qyear
start_time

Methods

asfreq(self, \*args, \*\*kwargs)	Convert the Period Array/Index to the specified frequency freq.
strftime(self, \*args, \*\*kwargs)	Convert to Index using specified date_format.
to_timestamp(self, \*args, \*\*kwargs)	Cast to DatetimeArray/Index.

pandas.TimedeltaIndex.mean pandas.PeriodIndex.day