Python Pandas - Draw swarms of observations on top of a violin plot with Seaborn

Swarm Plot in Seaborn is used to draw a categorical scatterplot with non-overlapping points. The seaborn.swarmplot() is used for this. Draw swarms of observations on top of a violin plot using the violinplot().

Let’s say the following is our dataset in the form of a CSV file − Cricketers2.csv

At first, import the required libraries −

import seaborn as sb
import pandas as pd
import matplotlib.pyplot as plt

Load data from a CSV file into a Pandas DataFrame −

dataFrame = pd.read_csv("C:\Users\amit_\Desktop\Cricketers2.csv")

Draw swarms of observations on top of a violin plot −

sb.violinplot(x = dataFrame["Role"], y = dataFrame["Matches"])
sb.swarmplot(x = dataFrame["Role"], y = dataFrame["Matches"], color="white")

Example

Following is the code −

import seaborn as sb
import pandas as pd
import matplotlib.pyplot as plt

# Load data from a CSV file into a Pandas DataFrame:
dataFrame = pd.read_csv("C:\Users\amit_\Desktop\Cricketers2.csv")

sb.set_theme(style="whitegrid")

# draw swarms of observations on top of a violin plot
sb.violinplot(x = dataFrame["Role"], y = dataFrame["Matches"])
sb.swarmplot(x = dataFrame["Role"], y = dataFrame["Matches"], color="white")

# display
plt.show()

Output

This will produce the following output −