python：在python中的matlab eigs

Question

我尝试将matlab程序翻译成python，但我找不到python中的（matlab eigs）匹配。 我试过scipy.sparse.linalg，但它们完全不同： MATLAB：

>> up_Cx

up_Cx =

   1.0e+03 *

    2.1341    2.1341    2.1341
    2.1341    2.1341    2.1341
    2.1341    2.1341    2.1341

>> [A,D]=eigs(up_Cx)

A =

    0.5774   -0.0961   -0.8108
    0.5774   -0.6541    0.4886
    0.5774    0.7502    0.3222


D =

   1.0e+03 *

    6.4023         0         0
         0    0.0000         0
         0         0    0.0000

>> 

我在python中尝试过：

>>> H_CX
array([[ 2134.08350667,  2134.08350667,  2134.08350667],
       [ 2134.08350667,  2134.08350667,  2134.08350667],
       [ 2134.08350667,  2134.08350667,  2134.08350667]])
>>> scipy.sparse.linalg.eigs(H_CX)
Traceback (most recent call last):
  File "<input>", line 1, in <module>
  File "/usr/local/lib/python2.7/site-packages/scipy/sparse/linalg/eigen/arpack/arpack.py", line 1238, in eigs
    % (k, n - 1))
ValueError: k=6 must be between 1 and ndim(A)-1=2

和k = 1：

>>> H_CX
array([[ 2134.08350667,  2134.08350667,  2134.08350667],
       [ 2134.08350667,  2134.08350667,  2134.08350667],
       [ 2134.08350667,  2134.08350667,  2134.08350667]])
>>> scipy.sparse.linalg.eigs(H_CX)
Traceback (most recent call last):
  File "<input>", line 1, in <module>
  File "/usr/local/lib/python2.7/site-packages/scipy/sparse/linalg/eigen/arpack/arpack.py", line 1238, in eigs
    % (k, n - 1))
ValueError: k=6 must be between 1 and ndim(A)-1=2
>>> scipy.sparse.linalg.eigs(H_CX,1)
(array([ 6402.25052002+0.j]), array([[-0.57735027+0.j],
       [-0.57735027+0.j],
       [-0.57735027+0.j]]))

结果完全不同，我很困惑......