In [1]:

    

import numpy as np
from scipy.io.matlab import loadmat


    

In [2]:

    

data = loadmat('databases/BaseFCI_MG.mat')


    

In [10]:

    

np.squeeze(data['Choc'])


    

    
Out[10]:





array([53209, 53210, 53211, 53212, 53213, 53220, 53221, 53223, 53224,
       53225, 53227, 53233, 53234, 53258, 53259, 53493, 53580, 53581,
       53582, 53583, 53584, 53588, 53589, 53590, 53591, 53594, 53596,
       53604, 53608, 53609, 53610, 53630, 53632, 53633, 53636, 53637,
       53638, 53639, 53640, 53643, 53672, 53674, 53675, 53676, 53677,
       53678, 53679, 53680, 53681, 53682, 53683, 53684, 53686, 53687,
       53688, 53689, 53690, 53691, 53693, 53694, 53695, 53696, 53698,
       53699, 53700, 53701, 53702, 53703, 53704, 53705, 53706, 53730,
       53733, 53772, 53773, 53774, 53775, 53777, 53778, 53779, 53780,
       53781, 53782, 53784, 53787, 53790, 53791, 53792, 53793, 53868,
       53871, 53872, 53875, 53876, 53877, 53879, 53897, 53898, 53899,
       53903, 53905, 53906, 53907, 53917, 53921, 53923, 53930, 53931,
       53932, 53934, 53935, 53970, 53971, 53973, 53975, 53982, 53983,
       53984, 54001, 54004, 54005, 54006, 54087, 54089, 54090, 54091,
       54092, 54094, 54102, 54105], dtype=uint16)

In [ ]: