How can I normalize the data in a range of columns in my pandas dataframe

Question

Suppose I have a pandas data frame surveyData:

I want to normalize the data in each column by performing:

surveyData_norm = (surveyData - surveyData.mean         


        

Answer 1

import pandas as pd
import numpy as np
# let Dataset here be your data#

from sklearn.preprocessing import MinMaxScaler
minmax = MinMaxScaler()

for x in dataset.columns[dataset.dtypes == 'int64']:
    Dataset[x] = minmax.fit_transform(np.array(Dataset[I]).reshape(-1,1))