pandas.IntervalIndex.from_arrays#

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.
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.

See also

interval_range: Function to create a fixed frequency IntervalIndex.
IntervalIndex.from_breaks: Construct an IntervalIndex from an array of splits.
IntervalIndex.from_tuples: Construct an IntervalIndex from an array-like of tuples.

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]')