from sklearn.preprocessing import LabelEncoder lb_make = LabelEncoder() obj_df["make_code"] = lb_make.fit_transform(obj_df["make"]) obj_df[["make", "make_code"]].head(11)
df['Gender'].str[0].str.upper().map({'M':'Male', 'F':'Female'})