pandas object格式转float64格式的方法

data_df = pd.read_csv("names.csv")

data_df.info()

*RangeIndex: 891 entries, 0 to 890 
Data columns (total 12 columns): 
Name 891 non-null object 
Sex 891 non-null object 
Age 714 non-null float64 
SibSp 891 non-null int64 
Parch 891 non-null int64 
Ticket 891 non-null object 
Fare 891 non-null float64 
Cabin 204 non-null object 
Embarked 889 non-null object 
dtypes: float64(2), int64(5), object(5) 
memory usage: 83.6+ KB* 

TypeError: ufunc 'add' not contain a loop with signature matching types dtype('<U32') dtype('<U32') dtype('<U32')

dt_df = dt_df.convert_objects(convert_numeric=True)