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pandas.IntervalIndex.from_arrays — pandas 2.3.1 documentation

classmethod IntervalIndex.from_arrays(left, right, closed='right', name=None, copy=False, dtype=None)[source]#

Construct from two arrays defining the left and right bounds.

Parameters:

leftarray-like (1-dimensional)

Left bounds for each interval.

rightarray-like (1-dimensional)

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.

namestr, optional

Name of the resulting IntervalIndex.

copybool, default False

Copy the data.

dtypedtype, optional

If None, dtype will be inferred.

Returns:

IntervalIndex

Raises:

ValueError

When a value is missing in only one of left or right. When a value in left is greater than the corresponding value in right.

Notes

Each element of left must be less than or equal to the right element at the same position. If an element is missing, it must be missing in both left and right. A TypeError is raised when using an unsupported type for left or right. At the moment, ‘category’, ‘object’, and ‘string’ subtypes are not supported.

Examples

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

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