To show the count values on the top of a bar in a countplot, we can take the following steps
Steps
Set the figure size and adjust the padding between and around the subplots.
Create a Pandas dataframe with one column.
A countplot can be thought of as a histogram across a categorical, instead of a quantitative, variable.
Iterate the returned axes of the countplot and show the count values at the top of the bars.
To display the figure, use Show() method.
Example
import seaborn as sns import matplotlib.pyplot as plt import numpy as np import pandas as pd plt.rcParams["figure.figsize"] = [7.00, 3.50] plt.rcParams["figure.autolayout"] = True df = pd.DataFrame(dict(col1=np.array([2, 4, 1, 1, 1, 4]))) ax = sns.countplot(x="col1", data=df) for p in ax.patches: ax.annotate('{:.1f}'.format(p.get_height()), (p.get_x()+0.25, p.get_height()+0.01)) plt.show()
Output
It will produce the following output −