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Create a Box Plot with SeaBorn – Python Pandas
Box Plot in Seaborn is used to draw a box plot to show distributions with respect to categories. The seaborn.boxplot() 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")
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 box plot with Age and Heigh sb.boxplot( dataFrame['Age'],dataFrame['Height'] ) # set label for y i.e. Height plt.ylabel("Height (inches)") # display plt.show()
Output
This will produce the following output −
Example
Let us see another 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 box plot with Age sb.boxplot( dataFrame['Age'] ) plt.show()
Output
This will produce the following output −
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