So konvertieren Sie kategoriale Daten in numerische Daten in Python
obj_df["body_style"] = obj_df["body_style"].astype('category')
obj_df.dtypes
Gorgeous Grouse
obj_df["body_style"] = obj_df["body_style"].astype('category')
obj_df.dtypes
cat_cols = ['Item_Identifier', 'Item_Fat_Content', 'Item_Type', 'Outlet_Identifier',
'Outlet_Size', 'Outlet_Location_Type', 'Outlet_Type', 'Item_Type_Combined']
enc = LabelEncoder()
for col in cat_cols:
train[col] = train[col].astype('str')
test[col] = test[col].astype('str')
train[col] = enc.fit_transform(train[col])
test[col] = enc.transform(test[col])