how to find the labels of the confusion matrix in python

1""" In order to find the labels just use the Counter function to count 
2the records from y_test and then check row-wise sum of the confusion 
3matrix. Then apply the labels to the corresponding rows using the 
4inbuilt seaborn plot as shown below"""
5
6from collections import Counter
7Counter(y_test).keys()
8Counter(y_test).values()
9
10import seaborn as sns
11import matplotlib.pyplot as plt     
12
13ax= plt.subplot()
14sns.heatmap(cm, annot=True, fmt='g', ax=ax);  #annot=True to annotate cells, ftm='g' to disable scientific notation
15
16# labels, title and ticks
17ax.set_xlabel('Predicted labels');ax.set_ylabel('True labels'); 
18ax.set_title('Confusion Matrix'); 
19ax.xaxis.set_ticklabels(['business', 'health']); ax.yaxis.set_ticklabels(['health', 'business']);