SKLearn MinMaxScaler - scale specific columns only

Question

I\'d like to scale some (but not all) of the columns in a Pandas dataFrame using a MinMaxScaler. How can I do it?

Answer 1

Since sklearn >= 0.20 you can do it using Column Transformer

standard_transformer = Pipeline(steps=[
        ('standard', StandardScaler())])

minmax_transformer = Pipeline(steps=[
        ('minmax', MinMaxScaler())])


preprocessor = ColumnTransformer(
        remainder='passthrough', #passthough features not listed
        transformers=[
            ('std', standard_transformer , ['z']),
            ('mm', minmax_transformer , ['x','y'])
        ])