Python Pandas - Draw a Bar Plot and use median as the estimate of central tendency

Bar Plot in Seaborn is used to show point estimates and confidence intervals as rectangular bars. The seaborn.barplot() is used for this. Plotting horizontal bar plots with dataset columns as x and y values. Use the estimator parameter to set median as the estimate of central tendency.

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
from numpy import median

Load data from a CSV file into a Pandas DataFrame −

dataFrame = pd.read_csv("C:\Users\amit_\Desktop\Cricketers2.csv")

Plotting horizontal bar plots with Matches and Academy using the estimator parameter to set median as the estimate of central tendency −

sb.barplot(x = dataFrame["Academy"], y = dataFrame["Matches"], estimator = median)

Example

Following is the code −

import seaborn as sb
import pandas as pd
import matplotlib.pyplot as plt
from numpy import median

# Load data from a CSV file into a Pandas DataFrame
dataFrame = pd.read_csv("C:\Users\amit_\Desktop\Cricketers2.csv")

# plotting horizontal bar plots with Matches and Academy
# using the estimator parameter to set median as the estimate of central tendency
sb.barplot(x = dataFrame["Academy"], y = dataFrame["Matches"], estimator = median)

# display
plt.show()

Output

This will produce the following output −

AmitDiwan

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Updated on: 29-Sep-2021

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