如何使用symPy和numPy替换矩阵的符号

Question

I'm trying to substitute two symbols in my equation for the matrix form of each of them.

I created a commutator function which formed my expression:

t, vS, = sy.symbols('t, vS', commutative = False)
hS = t + vS

eta = myComm(t,hS)

dHs = myComm(eta,hS) 
print dHs.expand()

yielding the correct expression I want:

2*t*vS*t + t*vS**2 - t**2*vS - 2*vS*t*vS - vS*t**2 + vS**2*t

So now I wish to substitute the symbols t and vS with matrices, however when using subs I get an error, "unhashable type: 'list'" I assume it has to do with my initialization of the matrices or how they should be properly substituted as I'm new to both numPy and symPy.

The rest of the code:

tRel = ([e0, 0],[0,e1])
vtmp = ([v0, v1],[v2,v3])

dHs = dHs.subs(t, tRel)
dHs = dHs.subs(vS, vtmp)
print dHs

Answer 1

Perhaps use lambdify :

import sympy as sy
import numpy as np    
from sympy.abc import x, y

z = ((x+y)**2).expand()
print(z)
# x**2 + 2*x*y + y**2
X = np.arange(6).reshape(2,3)
Y = np.arange(1,7).reshape(2,3)    

f = sy.lambdify((x, y), z, 'numpy')
print(f(X, Y))
# [[  1   9  25]
#  [ 49  81 121]]

assert np.allclose(f(X, Y), (X**2 + 2*X*Y + Y**2))