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

pandas.arrays.IntervalArray — pandas 3.0.0.dev0+2231.g4f2aa4d2be documentation

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

Pandas array for interval data 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 IntervalArray.

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.

verify_integritybool, default True

Verify that the IntervalArray is valid.

Attributes

Methods

See also

Index

The base pandas Index type.

Interval

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

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 IntervalArray can be constructed directly from an array-like of Interval objects:

>>> pd.arrays.IntervalArray([pd.Interval(0, 1), pd.Interval(1, 5)])
<IntervalArray>
[(0, 1], (1, 5]]
Length: 2, dtype: interval[int64, right]

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

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