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Python Pandas - Draw a vertical violinplot grouped by a categorical variable 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. We will plotti violin plot with the columns grouped by a categorical variable.
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 Role and Age grouped by a categorical variable −
sb.violinplot(x = 'Role', y = "Age", 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\Cricketers.csv")
# plotting violin plot with Role and Age
# grouped by a categorical variable
sb.violinplot(x = 'Role', y = "Age", data = dataFrame)
# display
plt.show()Output
This will produce the following output −
Updated on: 04-Oct-2021
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