Toy Process A

Normalise the raw data table beta


In [2]:
import pandas as pd

In [7]:
alpha = pd.read_csv('alpha.csv')
alpha_norm = (alpha - alpha.mean()) / (alpha.max() - alpha.min())
alpha.head()


Out[7]:
A B C
0 0.890663 0.129546 0.639490
1 0.506477 0.241874 0.665396
2 0.408772 0.826594 0.647630
3 0.661743 0.987844 0.623011
4 0.613724 0.320516 0.929441

In [9]:
alpha_norm.to_csv('alpha_norm.csv', index=False)

In [ ]: