pandas.Index.is_mixed#
- final Index.is_mixed()[source]#
- Check if the Index holds data with mixed data types. - Returns
- bool
- Whether or not the Index holds data with mixed data types. 
 
 - 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_object
- Check if the Index is of the object dtype. 
- is_categorical
- Check if the Index holds categorical data. 
- is_interval
- Check if the Index holds Interval objects. 
 - Examples - >>> idx = pd.Index(['a', np.nan, 'b']) >>> idx.is_mixed() True - >>> idx = pd.Index([1.0, 2.0, 3.0, 5.0]) >>> idx.is_mixed() False