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Python Pandas - Draw a set of vertical bar plots grouped by a categorical variable with Seaborn
Bar Plot in Seaborn is used to show point estimates and confidence intervals as rectangular bars. The seaborn.barplot() is used for this. Plot vertical bar plots grouped by a categorical variable, by passing the variable as x or y coordinates in the barplot() method.
Let’s say the following is our dataset in the form of a CSV file − Cricketers2.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\Cricketers2.csv")
Plotting vertical bar plots grouped by a categorical variable −
sb.barplot(x = dataFrame["Role"], y = dataFrame["Matches"])
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\Cricketers2.csv") # plotting vertical bar plots grouped by a categorical variable sb.barplot(x = dataFrame["Role"], y = dataFrame["Matches"]) # display plt.show()
Output
This will produce the following output −
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