Storage of complex numbers in arrays

I have problem to understand what happens in the next code:

A=np.array([[3.+4.j, 2.+8.j, 6.+5.j, 8.+3.j, 4.+8.j], [0.+3.j, 4.+5.j, 3.+9.j, 0.+6.j, 0.+8.j], [2.+7.j, 3.+5.j, 2.+3.j, 3.+9.j, 3.+6.j], [6.+0.j, 1.+2.j, 0.+1.j, 6.+5.j, 2.+7.j], [6.+1.j, 3.+4.j, 2.+2.j, 3.+8.j, 7.+6.j]]) 

I am trying to store the next coeficients

B=np.identity(5) for i in range(1,l): B[i][0]=-(A[i][0]/A[0][0]) 

when I print the matrix B I obtain

B=array([[ 1. , 0. , 0. , 0. , 0. ], [-0.48, 1. , 0. , 0. , 0. ], [-1.36, 0. , 1. , 0. , 0. ], [-0.72, 0. , 0. , 1. , 0. ], [-0.88, 0. , 0. , 0. , 1. ]]) 

but of course I know that for example

-A[1][0]/A[0][0]=-0.48-0.36j 

and I don't know why the loop just takes the real part.

Any help is welcome. Thank you very much for your advice.