Для тех, кто заинтересовался тем, как я это решил:
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
df = pd.DataFrame(np.random.randint(0,100,size=(100, 4)), columns=list('ABCD'))
print(df):
A B C D
0 31 11 65 15
1 83 21 5 87
2 16 6 81 41
3 91 78 95 70
4 26 51 26 61
.. .. .. .. ..
95 31 18 91 24
96 73 97 42 45
97 76 22 2 36
98 12 43 98 27
99 33 96 67 68
probbins = [0,10,20,30,40,50,60,70,80,90,100]
df['Groups'] = pd.cut(df['D'],bins=probbins)
plt.figure(figsize=(15,6))
chart = sns.barplot(x=df['Groups'], y=df['C'],estimator=sum,ci=None)
chart.set_title('Profit/Loss')
chart.set_xticklabels(chart.get_xticklabels(), rotation=30)
# annotation here
for p in chart.patches:
chart.annotate("%.0f" % p.get_height(), (p.get_x() + p.get_width() / 2., p.get_height()),
ha='center', va='center', fontsize=10, color='black', xytext=(0, 5),
textcoords='offset points')
plt.show()