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
IntervalIndex.from_arrays
IntervalIndex.from_tuples
>>> pd.IntervalIndex.from_breaks([0, 1, 2, 3])
IntervalIndex([(0, 1], (1, 2], (2, 3]]
closed='right',
dtype='interval[int64]')
© 2008–2012, AQR Capital Management, LLC, Lambda Foundry, Inc. and PyData Development Team
Licensed under the 3-clause BSD License.
http://pandas.pydata.org/pandas-docs/version/0.23.4/generated/pandas.IntervalIndex.from_breaks.html