pandas.api.types.is_interval_dtype#

pandas.api.types.is_interval_dtype(arr_or_dtype)[source]#

Check whether an array-like or dtype is of the Interval dtype.

Deprecated since version 2.2.0: Use isinstance(dtype, pd.IntervalDtype) instead.

Parameters:

arr_or_dtypearray-like or dtype: The array-like or dtype to check.

Returns:

boolean: Whether or not the array-like or dtype is of the Interval dtype.

See also

api.types.is_object_dtype: Check whether an array-like or dtype is of the object dtype.
api.types.is_numeric_dtype: Check whether the provided array or dtype is of a numeric dtype.
api.types.is_categorical_dtype: Check whether an array-like or dtype is of the Categorical dtype.

Examples

>>> from pandas.core.dtypes.common import is_interval_dtype
>>> is_interval_dtype(object)
False
>>> is_interval_dtype(pd.IntervalDtype())
True
>>> is_interval_dtype([1, 2, 3])
False
>>>
>>> interval = pd.Interval(1, 2, closed="right")
>>> is_interval_dtype(interval)
False
>>> is_interval_dtype(pd.IntervalIndex([interval]))
True