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Create a Swarm Plot with SeaBorn – Python Pandas
Swarm Plot in Seaborn is used to draw a categorical scatterplot with non-overlapping points. The seaborn.swarmplot() is used for this.
Let’s say the following is our dataset in the form of a CSV file − Cricketers.csv
At first, import the required 3 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\Cricketers.csv")
Plotting swarm plot with Age and Height (inches) −
sb.swarmplot(x = dataFrame["Age"], y = dataFrame["Height"], data=dataFrame)
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\Cricketers.csv") sb.set_theme(style="whitegrid") # plotting swarm plot with Age and Height (inches) sb.swarmplot(x = dataFrame["Age"], y = dataFrame["Height"], data=dataFrame) # set label plt.ylabel("Height (inches)") # display plt.show()
Output
This will produce the following output −
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