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Python Pandas - Group the swarms by two categorical variables with Seaborn
Swarm Plot in Seaborn is used to draw a categorical scatterplot with non-overlapping points. The seaborn.swarmplot() is used for this. To group the swarms by two categorical variables, set those variables in the swarmplot() using the x, y or hue parameters.
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")
Group the swarms by two categorical variables −
sb.swarmplot(x = "Role", y = "Matches", hue = "Academy", 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\Cricketers2.csv") # set the theme sb.set_theme(style="whitegrid") sb.swarmplot(x = "Role", y = "Matches", hue = "Academy", data = dataFrame) # display plt.show()
Output
This will produce the following output
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