How to scale all columns except certain ones in pandas dataframe?

Question

With the following example code all columns are scaled with MinMaxScaler. How to change in order to only scale column A and column C? Ideally I want to do it by excluding column B by name.

import pandas as pd
from sklearn.preprocessing import MinMaxScaler


scaler = MinMaxScaler()

df = pd.DataFrame({'A':[14.00,90.20,90.95,96.27,91.21],
                           'B':[103.02,107.26,110.35,114.23,114.68],
                           'C':[3,5,4,2,3]})

df[df.columns] = scaler.fit_transform(df[df.columns])

Answer 1

Take a look at pandas.Index.difference :

scaler.fit_transform(df[df.columns.difference(['B'])])

Answer 2

cols = df.columns[df.columns != 'B']
df[cols] = scaler.fit_transform(df[cols])