pandas.PeriodIndex

class pandas.PeriodIndex(data=None, ordinal=None, freq=None, tz=None, dtype=None, copy=False, name=None, **fields)[source]

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.