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Showing content from https://pandas.pydata.org/docs/dev/user_guide/../reference/api/pandas.IntervalIndex.html below:

pandas.IntervalIndex — pandas 3.0.0.dev0+2231.g4f2aa4d2be documentation

class pandas.IntervalIndex(data, closed=None, dtype=None, copy=False, name=None, verify_integrity=True)[source]#

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

Parameters:

dataarray-like (1-dimensional)

Array-like (ndarray, DateTimeArray, TimeDeltaArray) 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.

dtypedtype or None, default None

If None, dtype will be inferred.

copybool, default False

Copy the input data.

nameobject, optional

Name to be stored in the index.

verify_integritybool, default True

Verify that the IntervalIndex is valid.

Attributes

Methods

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]],
              dtype='interval[int64, right]')

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.

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