A = someMatrixArray
from numpy.linalg import eig as eigenValuesAndVectors

solution = eigenValuesAndVectors(A)

eigenValues = solution[0]
eigenVectors = solution[1]

import numpy as np
import numpy.linalg as linalg

A = np.random.random((3,3))
eigenValues, eigenVectors = linalg.eig(A)

idx = eigenValues.argsort()[::-1]
eigenValues = eigenValues[idx]
eigenVectors = eigenVectors[:,idx]

eval, evec =  sp.eig(A)
ev_list = zip( eval, evec )
ev_list.sort(key=lambda tup:tup[0], reverse=False)
eval, evec = zip(*ev_list)

import numpy as np
from numpy import linalg as npla
#
def eigen(A):
    eigenValues, eigenVectors = npla.eig(A)
    idx = np.argsort(eigenValues)
    eigenValues = eigenValues[idx]
    eigenVectors = eigenVectors[:,idx]
    return (eigenValues, eigenVectors)