I\'ve found a couple of similar postings to this topic. But they wasn\'t helpful for me.
I\'m relatively new to Python and Seaborn.
This is my Code:
Loop through the patches and annotate the bars.
import seaborn as sns
import matplotlib.pyplot as plt
%matplotlib inline
x_axis = ["A", "B","C","D","E","F"]
y_axis = [78.5, 79.6, 81.6, 75.4, 78.3, 79.6]
plt.ylabel('Accuracy')
plt.title('Accuracy of Classifier')
g=sns.barplot(x_axis, y_axis, color="red")
ax=g
#annotate axis = seaborn axis
for p in ax.patches:
ax.annotate("%.2f" % p.get_height(), (p.get_x() + p.get_width() / 2., p.get_height()),
ha='center', va='center', fontsize=11, color='gray', xytext=(0, 20),
textcoords='offset points')
_ = g.set_ylim(0,120) #To make space for the annotations
Output: