hipdf.Index.is_interval

hipdf.Index.is_interval#

21 min read time

Applies to Linux

Index.is_interval()#

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
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