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Python Pandas - Group the swarms by a categorical variable with Seaborn
Swarm Plot in Seaborn is used to draw a categorical scatterplot with non-overlapping points. The seaborn.swarmplot() is used for this. Group the swarms by a categorical variable by simply setting it as one of the x and y coordinates.
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 a categorical variable −
sb.swarmplot(x = dataFrame["Role"], y = dataFrame["Age"])
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")
# group the swarms by a categorical variable
sb.swarmplot(x = dataFrame["Role"], y = dataFrame["Age"])
# display
plt.show()Output
This will produce the following output −
Updated on: 04-Oct-2021
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