cudf.Index.is_object#
- Index.is_object()[source]#
Check if the Index is of the object dtype.
Deprecated since version 23.04: Use cudf.api.types.is_object_dtype instead.
- Returns:
- bool
Whether or not the Index is of the object dtype.
See also
is_booleanCheck if the Index only consists of booleans.
is_integerCheck if the Index only consists of integers.
is_floatingCheck if the Index is a floating type.
is_numericCheck if the Index only consists of numeric data.
is_categoricalCheck if the Index holds categorical data.
is_intervalCheck if the Index holds Interval objects.
Examples
>>> import cudf >>> idx = cudf.Index(["Apple", "Mango", "Watermelon"]) >>> idx.is_object() True >>> idx = cudf.Index(["Watermelon", "Orange", "Apple", ... "Watermelon"]).astype("category") >>> idx.is_object() False >>> idx = cudf.Index([1.0, 2.0, 3.0, 4.0]) >>> idx.is_object() False