我已经设置了以下代码以读取 .graphml 文件，执行计算（特征值），然后绘制结果。这是我到目前为止的代码：
import numpy as np
import networkx as nx
import matplotlib.pyplot as plt
# Read in the Data
G = nx.read_graphml("/home/user/DropBox_External_Datasets/JHU_Human_Brain/cat_brain_1.graphml")
nx.draw(G)
plt.savefig("test_graph.png")
Z = nx.to_numpy_matrix(G)
# Get Eigenvalues and Eigenvectors
# ----------------------------------------------------------------------------------
#
e_vals, e_vec = np.linalg.eigh(Z)
print("The eigenvalues of A are:", e_vals)
print("The size of the eigenvalues matrix is:", e_vals.shape)
# ----------------------------------------------------------------------------------
plt.plot(e_vals, 'g^')
plt.ylabel('Eigenvalues')
# plt.axis([-30, 300, -15, 30]) # Optimal settings for Rhesus data
# plt.axis([-0.07, 1, -0.2, 1.2]) # range to zoom in …