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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

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]')
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