Dear all,

I am trying to obtain a matrix in this form:

[

[‘a1’, ‘b1’, ‘c1’],

[‘a2’, ‘b2’, ‘c2’],

[‘a3’, ‘b3’, ‘c3’],

[‘a4’, ‘b4’, ‘c4’]

]

from the arrays:

A = np.array([‘a1’, ‘a2’, ‘a3’, ‘a4’])

B = np.array([‘b1’, ‘b2’, ‘b3’, ‘b4’])

C = np.array([‘c1’, ‘c2’, ‘c3’, ‘c4’])

I have tried different combinations but none useful:

np.concatenate((A,B,C),axis=1)

Traceback (most recent call last):File “”, line 4, in

np.concatenate((A,B,C),axis=1)AxisError: axis 1 is out of bounds for array of dimension 1

np.concatenate((A,B,C),axis=2)

Traceback (most recent call last):File “”, line 1, in

np.concatenate((A,B,C),axis=2)AxisError: axis 2 is out of bounds for array of dimension 1

np.concatenate((A,B,C))

Out[44]:

array([‘a1’, ‘a2’, ‘a3’, ‘a4’, ‘b1’, ‘b2’, ‘b3’, ‘b4’, ‘c1’, ‘c2’, ‘c3’,

‘c4’], dtype=’<U2’)np.vstack((A, B, C))

Out[45]:

array([[‘a1’, ‘a2’, ‘a3’, ‘a4’],

[‘b1’, ‘b2’, ‘b3’, ‘b4’],

[‘c1’, ‘c2’, ‘c3’, ‘c4’]], dtype=’<U2’)np.concatenate((A,B,C)).reshape(4,3)

Out[46]:

array([[‘a1’, ‘a2’, ‘a3’],

[‘a4’, ‘b1’, ‘b2’],

[‘b3’, ‘b4’, ‘c1’],

[‘c2’, ‘c3’, ‘c4’]], dtype=’<U2’)

What would be the correct combination?

Thank you