In [1]: import numpy as np
In [2]: K=np.random.normal(size=(2,2))
In [3]: eigenvalues, eigenvectors = np.linalg.eig(K)
In [4]: eigenvectors
Out[4]:
array([[ 0.83022467+0.j , 0.83022467+0.j ],
[ 0.09133956+0.54989461j, 0.09133956-0.54989461j]])
In [5]: eigenvectors.shape
Out[5]: (2, 2)
Here is what the above code is Doing:
1. We’re importing the numpy library as np.
2. We’re creating a random 2×2 matrix K.
3. We’re finding the eigenvalues and eigenvectors of K.
4. We’re printing the eigenvectors.
5. We’re printing the shape of the eigenvectors.