>>> import numpy as np
>>> A = np.array([[1,2,3,4],[5,6,7,8]])
>>> A
array([[1, 2, 3, 4],
[5, 6, 7, 8]])
>>> A[:,2] # returns the third columm
>>> import pandas as pd
>>>aa = pd.DataFrame(A[:,2].ravel())
>>>aa
>>> import numpy as np
>>> A = np.array([[1,2,3,4],[5,6,7,8]])
>>> A
array([[1, 2, 3, 4],
[5, 6, 7, 8]])
>>> A[:,2] # returns the third columm
>>> import pandas as pd
>>>aa = pd.DataFrame(A[:,2].ravel())
>>>aa
import scipy.io as sio
test = sio.loadmat('test.mat')
test
{'a': array([[[ 1., 4., 7., 10.],
[ 2., 5., 8., 11.],
[ 3., 6., 9., 12.]]]),
'__version__': '1.0',
'__header__': 'MATLAB 5.0 MAT-file, written by
Octave 3.6.3, 2013-02-17 21:02:11 UTC',
'__globals__': []}
>>> oct_a = test['a']
>>> oct_a