Toy Process B

Merge two files, alpha_norm.csv and beta.csv by concatenating the columns.


In [1]:
import pandas as pd

In [12]:
alpha = pd.read_csv('alpha_norm.csv')
beta = pd.read_csv('beta.csv')
beta.head()


Out[12]:
D E F G H
0 0.903988 0.966516 0.138845 0.739390 0.589340
1 0.573824 0.047297 0.910284 0.185507 0.037181
2 0.902670 0.746701 0.034802 0.980981 0.634948
3 0.940812 0.999164 0.325257 0.684992 0.966486
4 0.897522 0.929041 0.637654 0.024762 0.853843

In [16]:
common = pd.concat([alpha, beta], axis=1)
common.head()


Out[16]:
A B C D E F G H
0 0.389217 -0.348779 0.084264 0.903988 0.966516 0.138845 0.739390 0.589340
1 -0.086694 -0.226780 0.112096 0.573824 0.047297 0.910284 0.185507 0.037181
2 -0.207727 0.408283 0.093010 0.902670 0.746701 0.034802 0.980981 0.634948
3 0.105642 0.583417 0.066559 0.940812 0.999164 0.325257 0.684992 0.966486
4 0.046159 -0.141367 0.395775 0.897522 0.929041 0.637654 0.024762 0.853843

In [17]:
common.to_csv('common.csv', index=False)

In [ ]: