Document

Attributes

left :
right :
closed :
mid :
length :
is_empty :
is_non_overlapping_monotonic :

versionadded

Methods

Notes

See the :None:None:`user guide <https://pandas.pydata.org/pandas-docs/stable/user_guide/advanced.html#intervalindex>` for more.

Parameters

data : array-like (1-dimensional): Array-like 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.
dtype : dtype or None, default None: If None, dtype will be inferred.
copy : bool, default False: Copy the input data.
verify_integrity : bool, default True: Verify that the IntervalArray is valid.

Pandas array for interval data that are closed on the same side.

Examples

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

This example is valid syntax, but we were not able to check execution

>>> 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 .

See :

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