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Python Pandas - Draw a set of vertical point plots grouped by a categorical variable with Seaborn
Point Plot in Seaborn is used to show point estimates and confidence intervals using scatter plot glyphs. The seaborn.pointplot() is used for this. For vertical point plot grouped by a categorical variable, set the variable as a value for the pointplot().
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")
Vertical point plot grouped by a categorical variable −
sb.pointplot(dataFrame['Role'],dataFrame['Age'])
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")
sb.set_theme(style="darkgrid")
# vertical point plot grouped by a categorical variable
sb.pointplot(dataFrame['Role'],dataFrame['Age'])
# display
plt.show()Output
This will produce the following output −
Updated on: 30-Sep-2021
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