pandas.Index.is_object#

finalIndex.is_object()[source]#

Check if the Index is of the object dtype.

Deprecated since version 2.0.0:Usepandas.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