pandas.api.types.is_interval_dtype — pandas 3.0.0.dev0+2100.gf496acffcc documentation (original) (raw)

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