Pandas: How to Annotate Bars in Bar Plot

You can use the following methods to annotate bars in a pandas bar plot:

Method 1: Annotate Bars in Simple Bar Plot

ax = df.plot.bar()

ax.bar_label(ax.containers[0])

Method 2: Annotate Bars in Grouped Bar Plot

ax = df.plot.bar()

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

The following examples show how to use each method in practice.

Example 1: Annotate Bars in Simple Bar Plot

The following code shows how to annotate bars in a simple bar plot:

import pandas as pd

#create DataFrame
df = pd.DataFrame({'product': ['A', 'B', 'C', 'D', 'E'],
                   'sales': [4, 7, 8, 15, 12]})

#view DataFrame
print(df)

  product  sales
0       A      4
1       B      7
2       C      8
3       D     15
4       E     12

#create bar plot to visualize sales by product
ax = df.plot.bar(x='product', y='sales', legend=False)

#annotate bars
ax.bar_label(ax.containers[0])

pandas annotate bar plot

Notice that the actual value for the sales is shown at the top of each bar.

Example 2: Annotate Bars in Grouped Bar Plot

The following code shows how to annotate bars in a grouped bar plot:

#create DataFrame
df = pd.DataFrame({'productA': [14, 10],
                   'productB': [17, 19]},
                    index=['store 1', 'store 2'])

#view DataFrame
print(df)

         productA  productB
store 1        14        17
store 2        10        19

#create grouped bar plot
ax = df.plot.bar()

#annotate bars in bar plot
for container in ax.containers:
    ax.bar_label(container)