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