pandas.IntervalIndex.from_arrays#

classmethodIntervalIndex.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, bothor 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 ofleft orright.When a value inleft is greater than the corresponding valueinright.

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 ofleft must be less than or equal to therightelement at the same position. If an element is missing, it must bemissing in bothleft andright. A TypeError is raised whenusing an unsupported type forleft orright. 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]')