pandas.Index.is_object#

final Index.is_object()[source]#

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.
is_mixed: Check if the Index holds data with mixed data types.

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