pandas.Index.is_object#

final Index.is_object()[source]#

Check if the Index is of the object dtype.

Deprecated since version 2.0.0: Use pandas.api.types.is_object_dtype instead.

Returns:
bool

Whether or not the Index is of the object dtype.

See also

is_boolean

Check if the Index only consists of booleans (deprecated).

is_integer

Check if the Index only consists of integers (deprecated).

is_floating

Check if the Index is a floating type (deprecated).

is_numeric

Check if the Index only consists of numeric data (deprecated).

is_categorical

Check if the Index holds categorical data (deprecated).

is_interval

Check if the Index holds Interval objects (deprecated).

Examples

>>> idx = pd.Index(["Apple", "Mango", "Watermelon"])
>>> idx.is_object()  
True

>>> idx = pd.Index(["Apple", "Mango", 2.0])
>>> idx.is_object()  
True

>>> idx = pd.Index(["Watermelon", "Orange", "Apple",
...                 "Watermelon"]).astype("category")
>>> idx.is_object()  
False

>>> idx = pd.Index([1.0, 2.0, 3.0, 4.0])
>>> idx.is_object()  
False