如何从scikit-learn获取混淆矩阵的行/列标签？

from sklearn.metrics import confusion_matrix
import numpy as np

y_true = np.array([0, 1, 2, 0, 1, 2])
y_pred = np.array([0, 2, 1, 0, 0, 1])

cm = confusion_matrix(y_true, y_pred)

labels = np.unique(y_true)

from sklearn.metrics import confusion_matrix
import numpy as np

y_true = np.array([0, 1, 2, 0, 1, 2])
y_pred = np.array([0, 2, 1, 0, 0, 1])

cm = confusion_matrix(y_true, y_pred)
labels = np.unique(y_true)

print("混淆矩阵：")
print(cm)
print("行/列标签：")
print(labels)