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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 −
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