Python: Scaling numbers column by column with pandas

Question

I have a Pandas data frame \'df\' in which I\'d like to perform some scalings column by column.

• In column \'a\', I need the maximum number to be 1, the minimum

Answer 1

I think Acumenus' comment in this answer, should be mentioned explicitly as an answer, as it is a one-liner.

>>> import pandas as pd
>>> from sklearn.preprocessing import minmax_scale
>>> df = pd.DataFrame({'A':[14,90,90,96,91], 'B':[103,107,110,114,114]})
>>> minmax_scale(df)
array([[0.        , 0.        ],
       [0.92682927, 0.36363636],
       [0.92682927, 0.63636364],
       [1.        , 1.        ],
       [0.93902439, 1.        ]])