pandas.Index.is_object

Index.is_object(self) → bool

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.object()
False

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

pandas.Index.is_numeric pandas.Index.is_type_compatible