Attributes

day :

dayofweek :

day_of_week :

dayofyear :

day_of_year :

days_in_month :

daysinmonth :

end_time :

freq :

freqstr :

hour :

is_leap_year :

minute :

month :

quarter :

qyear :

second :

start_time :

week :

weekday :

weekofyear :

year :

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

Methods

Parameters

data : array-like (1d int np.ndarray or PeriodArray), optional

Optional period-like data to construct index with.

copy : bool

Make a copy of input ndarray.

freq : str or period object, optional

One of pandas period strings or corresponding objects.

year : int, array, or Series, default None

month : int, array, or Series, default None

quarter : int, array, or Series, default None

day : int, array, or Series, default None

hour : int, array, or Series, default None

minute : int, array, or Series, default None

second : int, array, or Series, default None

dtype : str or PeriodDtype, default None

Immutable ndarray holding ordinal values indicating regular periods in time.

See Also

DatetimeIndex

Index with datetime64 data.

Index

The base pandas Index type.

Period

Represents a period of time.

TimedeltaIndex

Index of timedelta64 data.

period_range

Create a fixed-frequency PeriodIndex.

Examples

This example is valid syntax, but we were not able to check execution

>>> idx = pd.PeriodIndex(year=[2000, 2002], quarter=[1, 3])
... idx
PeriodIndex(['2000Q1', '2002Q3'], dtype='period[Q-DEC]')

See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

pandas.core.arrays.period.period_array pandas.core.frame.DataFrame.resample pandas.core.arrays.datetimes.DatetimeArray.to_period pandas.core.indexes.timedeltas.TimedeltaIndex pandas.core.indexes.datetimes.DatetimeIndex pandas.core.series.Series.resample pandas.core.indexes.base.Index pandas.core.generic.NDFrame.resample pandas.core.arrays.period.PeriodArray

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