matplotlib中带有标签图的混淆矩阵未正确组织

import matplotlib.pyplot as plt
import numpy as np

# 混淆矩阵数据
confusion_matrix = np.array([[10, 2, 3],
                             [1, 15, 0],
                             [4, 1, 12]])

# 绘制混淆矩阵
plt.imshow(confusion_matrix, cmap='Blues')

# 添加数值标签
for i in range(len(confusion_matrix)):
    for j in range(len(confusion_matrix)):
        plt.annotate(str(confusion_matrix[i][j]), xy=(j, i),
                     horizontalalignment='center',
                     verticalalignment='center')

# 设置坐标轴标签
plt.xlabel('Predicted label')
plt.ylabel('True label')

# 设置类别标签
labels = ['Class 1', 'Class 2', 'Class 3']
tick_marks = np.arange(len(labels))
plt.xticks(tick_marks, labels)
plt.yticks(tick_marks, labels)

# 显示颜色图例
plt.colorbar()

# 显示图形
plt.show()