<｜begin▁of▁sentence｜>### Instruction:
As a network designer, you might need to calculate the Laplacian matrix for a graph representing a complex network. For example, you may be working on a project that involves designing a communication network for a smart city. To assist in this endeavor, you can use the igraph library's laplacian function to calculate the Laplacian matrix based on the graph data stored in the graph45.gml file. This matrix can provide valuable insights into the network's properties and can aid in further analysis and optimization of the network design.
### Response:
import igraph as ig
import numpy as np

# Load the graph from a file
g = ig.read('graph45.gml')

# Calculate the Laplacian matrix of the graph
g_laplacian = g.laplacian()

# Convert the laplacian to a NumPy array for further computations
laplacian_matrix = np.array(g_laplacian)

# Print the Laplacian matrix
print('Laplacian Matrix:\n', laplacian_matrix)
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