How To Add Data Labels To Seaborn Barplot?

I have the following code to produce a bar plot in seaborn import pandas as pd import matplotlib.pyplot as plt import seaborn as sns df = pd.DataFrame(np.random.randint(0,100,size

Solution 1:

As of matplotlib 3.4.0, you can replace the annotation loop with the built-in Axes.bar_label.

In your code, chart is an Axes object, so you can just use:

chart.bar_label(chart.containers[0])

Note that a grouped bar chart (with hue) would have multiple bar containers, so in that case containers would need to be iterated:

for container in chart.containers:
    chart.bar_label(container)

Solution 2:

For those intersted in how I solved it:

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
0311165151832158721668141391789570426512661
..  ..  ..  ..  ..
9531189124967397424597762223698124398279933966768


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 herefor 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()