Violin Plot in Seaborn is used to draw a combination of boxplot and kernel density estimate. The seaborn.violinplot() is used for this. Plot a sinle violinplot usinga single column.
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 single horizontal violin plot with Weight (kgs) column −
sb.violinplot(dataFrame['Weight'])
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 single horizontal violin plot with Weight (kgs) column
sb.violinplot(dataFrame['Weight'])
# set label
plt.xlabel("Weight (kgs)")
# display
plt.show()Output
This will produce the following output −
