Important Programs Plotting with Python Class 12

In this article, you will find Important Programs Plotting with Python Class 12. You can use these programs in your practical file as practical records.

Important Programs Plotting with Python Class 12

In this section of important programs plotting with python class 12, we will cover practicals to plot a single line chart.

[1] Plot following data on line chart:

Day	Monday	Tuesday	Wednesday	Thursday	Friday
Income	510	350	475	580	600

1. Write a title for the chart “The Weekly Income Report”.
2. Write the appropriate titles of both the axes.
3. Write code to Display legends.
4. Display red color for the line.
5. Use the line style – dashed
6. Display diamond style markers on data points

import matplotlib.pyplot as pp
day =['Monday','Tuesday','Wednesday','Thursday','Friday']
inc = [510,350,475,580,600]
pp.plot(day,inc,label='Income',color='r',linestyle='dashed',marker='D')
pp.title("The Weekly Income Report")
pp.xlabel("Days")
pp.ylabel("Income")
pp.legend()
pp.show()

[2] A Shivalik restaurant has recorded the following data into their register for their income by Drinks and Food. Plot them on the line chart.

Day	Monday	Tuesday	Wednesday	Thursday	Friday
Drinks	450	560	400	605	580
Food	490	600	425	610	625

Apply following customization to the line chart.

1. Write a title for the chart “The Weekly Restaurant Orders”.
2. Write the appropriate titles of both the axes.
3. Write code to Display legends.
4. Display your choice of colors for both the lines drinks and food.
5. Use the line style – dotted for drinks and dashdot for food.
6. Display plus markers on drinks and x markers of food.

import matplotlib.pyplot as pp
day =['Monday','Tuesday','Wednesday','Thursday','Friday']
dr = [450,560,400,605,580]
fd = [490,600,425,610,625]
pp.plot(day,dr,label='Drinks',color='g',linestyle='dotted',marker='+')
pp.plot(day,fd,label='Food',color='m',linestyle='dashdot',marker='x')
pp.title("The Weekly Restaurant Orders")
pp.xlabel("Days")
pp.ylabel("Orders")
pp.legend()
pp.show()

[3] Observe the given data for monthly views of one of the youtube channels for 6 months. Plot them on the line chart.

Month	January	February	March	April	May	June
Views	2500	2100	1700	3500	3000	3800

Apply following customizations to the chart:

1. Give the title for the chart – “Youtube Stats”
2. Use the “Month” label for X-Axis and “Views” for Y-Axis.
3. Display legends.
4. Use dashed lines with the width 5 point.
5. Use red color for the line.
6. Use dot marker with blue edge color and black fill color.

import matplotlib.pyplot as pp
mon =['January','February','March','April','May','June']
views = [2500,2100,1700,3500,3000,3800]
pp.plot(mon,views,label='Views State',color='r',linestyle='dashed', linewidth=4,\
        marker='o', markerfacecolor='k', markeredgecolor='b')
pp.title("Youtube Stats")
pp.xlabel("Months")
pp.ylabel("Views")
pp.legend()
pp.show()

[4] Consider the following data of a medical store and plot the data on the line chart:

Month	Masks	Sanitizer	Hand wash
March	1500	4400	6500
April	3500	4500	5000
May	6500	5500	5800
June	6700	6000	6300
July	6000	5600	6200
August	6800	6300	4500

Customize the chart as you wish.

import matplotlib.pyplot as pp
mon =['March','April','May','June','July','August']
mask= [1500,3500,6500,6700,6000,6800]
san = [4400,4500,5500,6000,5600,6300]
hw = [6500,5000,5800,6300,6200,4500]
pp.plot(mon,mask,label='Mask',color='g',linestyle='dashed', linewidth=4,\
        marker='o', markerfacecolor='k', markeredgecolor='r')
pp.plot(mon,san,label='Mask',color='b',linestyle='dashed', linewidth=4,\
        marker='3', markerfacecolor='k', markeredgecolor='g')
pp.plot(mon,hw,label='Mask',color='r',linestyle='dashed', linewidth=4,\
        marker='v', markerfacecolor='k', markeredgecolor='b')
pp.title("Fitwell Medical Store")
pp.xlabel("Months")
pp.ylabel("Covid Protections")
pp.legend()
pp.show()

[5] Use above data and subplot sanitizer data and handwash data.

import matplotlib.pyplot as pp
mon =['March','April','May','June','July','August']

san = [4400,4500,5500,6000,5600,6300]
hw = [6500,5000,5800,6300,6200,4500]

pp.subplot(2,1,1)
pp.plot(mon,san,label='Sanitizer',color='b',linestyle='dashed', linewidth=4,\
        marker='o', markerfacecolor='k', markeredgecolor='r')
pp.title("Fitwell Medical Store")

pp.legend()

pp.subplot(2,1,2)
pp.plot(mon,hw,label='Handwash',color='r',linestyle='dashed', linewidth=4,\
        marker='v', markerfacecolor='k', markeredgecolor='b')
pp.xlabel("Months")
pp.ylabel("Covid Protections")
pp.legend()
pp.show()

[6] Write a program to plot a range from 1 to 30 with step value 4. Use following algebraic expression to show data.

y = 5*x+2

import matplotlib.pyplot as pp
import numpy as np
x = np.arange(1,30,4)
y = 5 * x + 2
pp.plot(x,y)
pp.show()

[7] Display following bowling figures through bar chart:

Overs	Runs
1	6
2	18
3	10
4	5

import matplotlib.pyplot as pp
overs =[1,2,3,4]
runs=[6,18,10,5]
pp.bar(overs,runs,color='m')
pp.xlabel('Overs')
pp.xlabel('Runs')
pp.title('Bowling Spell Analysis')
pp.show()

[8] Observe following data and plot data according to given instructions:

Batsman	2017	2018	2019	2020
Virat Kohli	2501	1855	2203	1223
Steve Smith	2340	2250	2003	1153
Babar Azam	1750	2147	1896	1008
Rohit Sharma	1463	1985	1854	1638
Kane Williamson	1256	1785	1874	1974
Jos Butler	1125	1853	1769	1436

1. Create a bar chart to display data of Virat Kohli & Rohit Sharma.
   • Customize the chart in this manner
     • Use different widths
     • Use different colors to represent different years score
     • Display appropriate titles for axis and chart
     • Show legends
2. Create a bar chart to display data of Steve Smith, Kane Williamson & Jos Butler. Customize Chart as per your wish.
3. Display data of all players for the specific year.