pandas.PeriodIndex
-
class pandas.PeriodIndex
[source] -
Immutable ndarray holding ordinal values indicating regular periods in time such as particular years, quarters, months, etc.
Index keys are boxed to Period objects which carries the metadata (eg, frequency information).
Parameters: data : array-like (1-dimensional), optional
Optional period-like data to construct index with
copy : bool
Make a copy of input ndarray
freq : string or period object, optional
One of pandas period strings or corresponding objects
start : starting value, period-like, optional
If data is None, used as the start point in generating regular period data.
periods : int, optional, > 0
Number of periods to generate, if generating index. Takes precedence over end argument
end : end value, period-like, optional
If periods is none, generated index will extend to first conforming period on or just past end argument
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
tz : object, default None
Timezone for converting datetime64 data to Periods
dtype : str 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
Examples
>>> idx = PeriodIndex(year=year_arr, quarter=q_arr)
>>> idx2 = PeriodIndex(start='2000', end='2010', freq='A')
-
© 2008–2012, AQR Capital Management, LLC, Lambda Foundry, Inc. and PyData Development Team
Licensed under the 3-clause BSD License.
https://pandas.pydata.org/pandas-docs/version/0.22.0/generated/pandas.PeriodIndex.html