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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

Examples

>>> IntervalIndex.from_intervals([Interval(0, 1), Interval(1, 2)])
IntervalIndex(left=[0, 1],
              right=[1, 2],
              closed='right')

The generic Index constructor work identically when it infers an array of all intervals:

>>> Index([Interval(0, 1), Interval(1, 2)])
IntervalIndex(left=[0, 1],
              right=[1, 2],
              closed='right')
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