Pandas ExtensionArray for storing Period data.
Users should use period_range() to create new instances.
Alternatively, array() can be used to create new instances
from a sequence of Period scalars.
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],
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), it’s checked that values.freq
Whether to copy the ordinals before storing.
Represents a period of time.
Immutable Index for period data.
Create a fixed-frequency PeriodArray.
Construct a pandas array.
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 “ordinals” 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.