<｜begin▁of▁sentence｜>### Instruction:
Given an asymmetric adjacency matrix representing the connections in a network, can you use the symmetrize function from graspologic to make the matrix symmetric by averaging the weights of the upper and lower triangles of the matrix?
### Response:
import numpy as np
from graspologic.utils import symmetrize

# Creating an asymmetric adjacency matrix
asymmetric_adjacency = np.array([
   [0, 1, 1],
   [2, 0, 3],
   [4, 5, 0]
])

# Symmetrizing the matrix using the 'avg' method
symmetric_adjacency = symmetrize(asymmetric_adjacency, method='avg')

print(symmetric_adjacency)
<|EOT|>
