classmethod IntervalIndex.from_arrays(left, right, closed='right', name=None, copy=False) [source]
Construct an IntervalIndex from a a left and right array
| Parameters: |
left : array-like (1-dimensional) Left bounds for each interval. right : array-like (1-dimensional) Right bounds for each interval. closed : {‘left’, ‘right’, ‘both’, ‘neither’}, optional Whether the intervals are closed on the left-side, right-side, both or neither. Defaults to ‘right’. name : object, optional Name to be stored in the index. copy : boolean, default False copy the data |
|---|
See also
interval_range
IntervalIndex.from_breaks
IntervalIndex.from_intervals
IntervalIndex.from_tuples
>>> pd.IntervalIndex.from_arrays([0, 1, 2], [1, 2, 3])
IntervalIndex([(0, 1], (1, 2], (2, 3]]
closed='right',
dtype='interval[int64]')
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http://pandas.pydata.org/pandas-docs/version/0.22.0/generated/pandas.IntervalIndex.from_arrays.html