Pandas ExtensionArray for storing Period data.
Users should use array() to create new instances.
The data to store. These should be arrays that can be directly converted to ordinals without inference or copy (PeriodArray, ndarray[int64]), or a box around such an array (Series[period], PeriodIndex).
A PeriodDtype instance from which to extract a freq. If both freq and dtype are specified, then the frequencies must match.
The freq to use for the array. Mostly applicable when values is an ndarray of integers, when freq is required. When values is a PeriodArray (or box around), itâs checked that values.freq matches freq.
Whether to copy the ordinals before storing.
Attributes
Methods
See also
Period
Represents a period of time.
PeriodIndex
Immutable Index for period data.
period_range
Create a fixed-frequency PeriodArray.
array
Construct a pandas array.
Notes
There are two components to a PeriodArray
ordinals : integer ndarray
freq : pd.tseries.offsets.Offset
The values are physically stored as a 1-D ndarray of integers. These are called âordinalsâ and represent some kind of offset from a base.
The freq indicates the span covered by each element of the array. All elements in the PeriodArray have the same freq.
Examples
>>> pd.arrays.PeriodArray(pd.PeriodIndex(['2023-01-01', ... '2023-01-02'], freq='D')) <PeriodArray> ['2023-01-01', '2023-01-02'] Length: 2, dtype: period[D]
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