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I want all the columns one hot encoded without the need of listing out the columns or apply one hot encode one by one. I know how to do it one column then another.

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You can use:: pandas.get_dummies

get_dummies will only convert string columns and will keep numerical columns as it is. You can first convert categorical columns into string type and then apply get_dummies.

concated_dataset['1stFlrSF'] = concated_dataset['1stFlrSF'].astype("string")
pd.get_dummies(cacated_dataset)
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  • $\begingroup$ Yeah then first convert all the columns you want to be one hot encoded into string type and then apply get_dummies on the whole dataframe. $\endgroup$ – Preet Mar 12 '19 at 19:00

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