pandas.IntervalIndex.from_intervals¶
-
classmethod
IntervalIndex.
from_intervals
(data, name=None, copy=False)[source]¶ Construct an IntervalIndex from a 1d array of Interval objects
Parameters: data : array-like (1-dimensional)
Array of Interval objects. All intervals must be closed on the same sides.
name : object, optional
Name to be stored in the index.
copy : boolean, default False
by-default copy the data, this is compat only and ignored
See also
interval_range
- Function to create a fixed frequency IntervalIndex
IntervalIndex.from_arrays
- Construct an IntervalIndex from a left and right array
IntervalIndex.from_breaks
- Construct an IntervalIndex from an array of splits
IntervalIndex.from_tuples
- Construct an IntervalIndex from a list/array of tuples
Examples
>>> pd.IntervalIndex.from_intervals([pd.Interval(0, 1), ... pd.Interval(1, 2)]) IntervalIndex([(0, 1], (1, 2]] closed='right', dtype='interval[int64]')
The generic Index constructor work identically when it infers an array of all intervals:
>>> pd.Index([pd.Interval(0, 1), pd.Interval(1, 2)]) IntervalIndex([(0, 1], (1, 2]] closed='right', dtype='interval[int64]')