sklearn minmaxscaler pandas

The solution for this is noted below

sklearn minmaxscaler pandas

Solution

>>> import pandas as pd
>>> from sklearn.preprocessing import MinMaxScaler


>>> scaler = MinMaxScaler()

>>> dfTest = 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':['big','small','big','small','small']})

>>> dfTest[['A', 'B']] = scaler.fit_transform(dfTest[['A', 'B']])

>>> dfTest
          A         B      C
0  0.000000  0.000000    big
1  0.926219  0.363636  small
2  0.935335  0.628645    big
3  1.000000  0.961407  small
4  0.938495  1.000000  small

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