<｜begin▁of▁sentence｜>### Instruction:
You have an asymmetric adjacency matrix representing connections between nodes in a network, where the direction and weight of an edge might be different depending on the direction. The goal is to create a symmetric version of this adjacency matrix by averaging the weights of the edges in both directions. How can you use graspologic.utils.symmetrize to symmetrize the given asymmetric adjacency matrix and display the result?
### Response:
import numpy as np
from graspologic.utils import symmetrize

# Create an asymmetric adjacency matrix representation of a graph
asymmetric_adjacency_matrix = np.array([
   [0, 1, 2],
   [3, 0, 0],
   [1, 4, 0]
])

# Symmetrize the adjacency matrix by averaging
symmetric_adjacency_matrix = symmetrize(asymmetric_adjacency_matrix, method='avg')

# Display the symmetrized adjacency matrix
print(symmetric_adjacency_matrix)
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