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Python Pandas - Draw a violin plot, explicit order and show observation as a stick with Seaborn
Violin Plot in Seaborn is used to draw a combination of boxplot and kernel density estimate. The seaborn.violinplot() is used for this. Observations show as a stick using the inner parameter with value stick.
Let’s say the following is our dataset in the form of a CSV file − Cricketers.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\Cricketers.csv")
Plotting violin plot with Academy and Age. Control order by passing an explicit order i.e. ordering on the basis of "Academy". Observations show as a stick using the inner parameter with value stick −
sb.violinplot(x = 'Academy', y = "Age", order=["Western Australia", "Tasmania","South Australia"],data = dataFrame, inner="stick")
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") # plotting violin plot with Academy and Age # Control order by passing an explicit order i.e. ordering on the basis of "Academy" # observations show as a stick using the inner parameter with value stick sb.violinplot(x = 'Academy', y = "Age", order=["Western Australia", "Tasmania","South Australia"],data = dataFrame, inner="stick") # display plt.show()
Output
This will produce the following output −
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