cudf.Index.is_object#
- Index.is_object()#
Check if the Index is of the object dtype.
- Returns
- bool
Whether or not the Index is of the object dtype.
See also
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_categorical
Check if the Index holds categorical data.
is_interval
Check 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