pandas.IntervalIndex.from_breaks

classmethod IntervalIndex.from_breaks(breaks, closed='right', name=None, copy=False, dtype=None) [source]

Construct an IntervalIndex from an array of splits

Parameters:

breaks : array-like (1-dimensional)

Left and right bounds for each interval.

closed : {‘left’, ‘right’, ‘both’, ‘neither’}, default ‘right’

Whether the intervals are closed on the left-side, right-side, both or neither.

name : object, optional

Name to be stored in the index.

copy : boolean, default False

copy the data

dtype : dtype or None, default None

If None, dtype will be inferred

New in version 0.23.0.

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_tuples
Construct an IntervalIndex from a list/array of tuples

Examples

>>> pd.IntervalIndex.from_breaks([0, 1, 2, 3])
IntervalIndex([(0, 1], (1, 2], (2, 3]]
              closed='right',
              dtype='interval[int64]')

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Licensed under the 3-clause BSD License.
https://pandas.pydata.org/pandas-docs/version/0.23.4/generated/pandas.IntervalIndex.from_breaks.html