pandas.arrays.IntervalArray.from_arrays¶
- classmethod IntervalArray.from_arrays(left, right, closed='right', 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, both or neither.
- copybool, default False
Copy the data.
- dtypedtype, optional
If None, dtype will be inferred.
- Returns
- IntervalArray
- Raises
- ValueError
When a value is missing in only one of left or right. When a value in left is greater than the corresponding value in right.
See also
interval_range
Function to create a fixed frequency IntervalIndex.
IntervalArray.from_breaks
Construct an IntervalArray from an array of splits.
IntervalArray.from_tuples
Construct an IntervalArray from an array-like of tuples.
Notes
Each element of left must be less than or equal to the right element at the same position. If an element is missing, it must be missing in both left and right. A TypeError is raised when using an unsupported type for left or right. At the moment, ‘category’, ‘object’, and ‘string’ subtypes are not supported.
>>> pd.arrays.IntervalArray.from_arrays([0, 1, 2], [1, 2, 3]) <IntervalArray> [(0, 1], (1, 2], (2, 3]] Length: 3, dtype: interval[int64, right]