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

given a data frame

df = pd.DataFrame({'A':[14,90,90,96,91], 'B':[103,107,110,114,114]})

scale with mean 0 and var 1

df.apply(lambda x: (x - np.mean(x)) / np.std(x), axis=0)

scale with range between 0 and 1

df.apply(lambda x: x / np.max(x), axis=0)