pandas.IntervalIndex

class pandas.IntervalIndex [source]

Immutable index of intervals that are closed on the same side.

New in version 0.20.0.

Parameters:

data : array-like (1-dimensional) Array-like containing Interval objects from which to build the IntervalIndex. closed : {‘left’, ‘right’, ‘both’, ‘neither’}, default ‘right’ Whether the intervals are closed on the left-side, right-side, both or neither. dtype : dtype or None, default None If None, dtype will be inferred. New in version 0.23.0. copy : bool, default False Copy the input data. name : object, optional Name to be stored in the index. verify_integrity : bool, default True Verify that the IntervalIndex is valid.

See also

Index

The base pandas Index type.

Interval

A bounded slice-like interval; the elements of an IntervalIndex.

interval_range

Function to create a fixed frequency IntervalIndex.

cut

Bin values into discrete Intervals.

qcut

Bin values into equal-sized Intervals based on rank or sample quantiles.

Notes

See the user guide for more.

Examples

A new IntervalIndex is typically constructed using interval_range():

>>> pd.interval_range(start=0, end=5)
IntervalIndex([(0, 1], (1, 2], (2, 3], (3, 4], (4, 5]],
              closed='right',
              dtype='interval[int64]')

It may also be constructed using one of the constructor methods: IntervalIndex.from_arrays(), IntervalIndex.from_breaks(), and IntervalIndex.from_tuples().

See further examples in the doc strings of interval_range and the mentioned constructor methods.

Attributes

left	Return the left endpoints of each Interval in the IntervalIndex as an Index
right	Return the right endpoints of each Interval in the IntervalIndex as an Index
closed	Whether the intervals are closed on the left-side, right-side, both or neither
mid	Return the midpoint of each Interval in the IntervalIndex as an Index
length	Return an Index with entries denoting the length of each Interval in the IntervalIndex
is_empty	Indicates if an interval is empty, meaning it contains no points.
is_non_overlapping_monotonic	Return True if the IntervalIndex is non-overlapping (no Intervals share points) and is either monotonic increasing or monotonic decreasing, else False
is_overlapping	Return True if the IntervalIndex has overlapping intervals, else False.
values	Return the IntervalIndex’s data as an IntervalArray.

Methods

from_arrays(left, right[, closed, name, …])	Construct from two arrays defining the left and right bounds.
from_tuples(data[, closed, name, copy, dtype])	Construct an IntervalIndex from an array-like of tuples
from_breaks(breaks[, closed, name, copy, dtype])	Construct an IntervalIndex from an array of splits.
contains(self, other)	Check elementwise if the Intervals contain the value.
overlaps(self, other)	Check elementwise if an Interval overlaps the values in the IntervalIndex.
set_closed(self, closed)	Return an IntervalIndex identical to the current one, but closed on the specified side
to_tuples(self[, na_tuple])	Return an Index of tuples of the form (left, right)