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Create a Violin Plot with SeaBorn – Python Pandas
Violin Plot in Seaborn is used to draw a combination of boxplot and kernel density estimate. The seaborn.violinplot() 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 violin plot with column Weight (kgs) −
sb.violinplot(dataFrame['Weight'])
Example
Let us see an example −
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 Weight (kgs) sb.violinplot(dataFrame['Weight']) # set label plt.xlabel("Weight (kgs)") # display plt.show()
Output
This will produce the following output −
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