One-hot-encoding multiple columns in sklearn and naming columns

Question

I have the following code to one-hot-encode 2 columns I have.

# encode city labels using one-hot encoding scheme
city_ohe = OneHotEncoder(categories=\'auto\'         


        

Answer 1

Why don't you take a look at pd.get_dummies? Here's how you can encode:

df['city'] = df['city'].astype('category')
df['phone'] = df['phone'].astype('category')
df = pd.get_dummies(df)