cudf.Index.is_interval#

Index.is_interval()[source]#

Check if the Index holds Interval objects.

Deprecated since version 23.04: Use cudf.api.types.is_interval_dtype instead.

Returns:

bool: Whether or not the Index holds Interval objects.

See also

IntervalIndex: Index for Interval objects.
is_boolean: Check if the Index only consists of booleans.
is_integer: Check if the Index only consists of integers.
is_floating: Check if the Index is a floating type.
is_numeric: Check if the Index only consists of numeric data.
is_object: Check if the Index is of the object dtype.
is_categorical: Check if the Index holds categorical data.

Examples

>>> import cudf
>>> import pandas as pd
>>> idx = cudf.from_pandas(
...     pd.Index([pd.Interval(left=0, right=5),
...               pd.Interval(left=5, right=10)])
... )
>>> idx.is_interval()
True
>>> idx = cudf.Index([1, 3, 5, 7])
>>> idx.is_interval()
False