import matplot library and then import sub package pyplot.

  Load the data set.

   Take two variables in the sample data.

   Using plt.bar(arguments) to plot bar chart in python.

#import library

import matplotlib.pyplot as plt

import pandas as pd

import numpy as np

#10 sample data

data={‘name’:[‘sathish’,’raj’,’raja’,’krishna’

,’yusuf’,’praveen’,’sangee’,’ezhil’,’dinesh’,

‘ganesh’], ‘salary’:[100,200,300,400,500,400,

300,200,100,50],’age’:[25,26,25,23,30,29,23,

23,25,25], ‘rating’:[4,3.24,2.5,2.25,2,2.25,

2.5,2.75,3.2,4.2], ‘bonus’:[2500,1200,900,

3000,1800,1400,850,250,750, 1000]}

#creating data frame

df=pd.DataFrame(data)

#numpy method that generates an

array of sequential numbers

index = np.arange(len(df[‘name’]))

# this is for plotting purpose

plt.bar(index, df[‘age’])

plt.ylabel(‘Age’)

plt.xticks(index, df[‘name’],

fontsize=5, rotation=30)

plt.show()