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Python Pandas - Draw a swarm plot and control swarm order by passing an explicit order with Seaborn
Swarm Plot in Seaborn is used to draw a categorical scatterplot with non-overlapping points. The seaborn.swarmplot() is used for this. Control swarm order by passing an explicit order i.e. ordering on the basis of a specific column using the order parameter −
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")
Plotting swarm plot with Academy and Matches. Control swarm order by passing an explicit order i.e. ordering on the basis of "Academy" using order parameter −
sb.swarmplot(x = "Academy", y = "Matches", order = ["Victoria", "Western Australia", "South Australia"],
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") # plotting swarm plot with Academy and Matches # Control swarm, order by passing an explicit order i.e. ordering on the basis of "Academy" using order parameter sb.swarmplot(x = "Academy", y = "Matches", order = ["Victoria", "Western Australia", "South Australia"],data= dataFrame) # display plt.show()
Output
This will produce the following output
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