BAR Plot| Python| STACKED BAR Plot For Beginners in Python
A stacked bar plot is a graphical representation of data in which the bars are divided into sections that represent the different components of the data. In Python, a stacked bar plot can be created using the Matplotlib library.
To create a stacked bar plot in Matplotlib, you will need to have NumPy and Matplotlib installed. To create a stacked bar plot in Python using Matplotlib, you can use the bar function and specify the bottom parameter to stack the bars on top of one another.
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--------------------------------------CODE IS HERE---------------------------------------------
import libraries
%matplotlib widget
import numpy as np # for arrays
import matplotlib.pyplot as plt # for plotting
define x data
x =[' Sachin', 'Virat', 'Sehwag','Dhoni' ,'Gayle']
y1= np.array([463,265,245,350,301])# number of matched they played
y2= np.array([44.83,57.47,35.05,50.57,37.83]) # batting averge
y3= np.array([2016,1172,1132,820,1128]) # no of 4s
y4= np.array([195,127,136,229,331]) # no of 6s sixer
plt.bar(x,y1) # for no og matches
plt.bar(x,y2, bottom=y1,color='black') # for battimg average
plt.bar(x,y3,bottom=y1+y2) # no.of 4s
plt.bar(x,y4, bottom=y1+y2+y3) # no. of 6 sixer
plt.title('Stacked bar plot', color='red', fontsize=30,fontweight='bold')
plt.xlabel('Batsman', color='black', fontsize=30,fontweight='bold')
plt.ylabel('ODI Match', color='green', fontsize=30,fontweight='bold')
plt.legend([' Number of Matches', 'Batting Avg', ' Number:4- Fours', 'Number: 6-Sixer'])
plt.savefig('stackedbar.png', dpi=300)
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