How to One-Hot encode multiple columns at once in dataFrame using Keras.to_Categorical?

Question

I want to one-hot encode multiple columns in my data frame at once using Keras to_categorical. How to do it?

need_to_encode = ['Item_Fat_Content', 'Outlet_Location_Type', 'Outlet_Type', 'Outlet_Size', 'Item_Type_Combined', 'Outlet']

These are the columns I need to one-hot encode.

Answer 1

 

For the columns that need encoding of the data, you can use util function.

 You can also use scikit-learn's categorical encoder on the part of the dataframe you need to encode.

If you wish to learn about scikit learn then visit this Scikit Learn Tutorial.

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