Matplot Assignment
[1] Plot following data on line chart:
|
Day |
Monday |
Tuesday |
Wednesday |
Thursday |
Friday |
|
Income |
510 |
350 |
475 |
580 |
600 |
- Write a title for the chart “The Weekly Income Report”.
- Write the appropriate titles of both the axes.
- Write code to Display legends.
- Display red color for the line.
- Use the line style – dashed
- 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.
- Write a title for the chart “The Weekly Restaurant Orders”.
- Write the appropriate titles of both the axes.
- Write code to Display legends.
- Display your choice of colors for both the lines drinks and food.
- Use the line style – dotted for drinks and dashdot for food.
- 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:
- Give the title for the chart – “Youtube Stats”
- Use the “Month” label for X-Axis and “Views” for Y-Axis.
- Display legends.
- Use dashed lines with the width 5 point.
- Use red color for the line.
- 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 |
- · Use different widths
- · Use different colors to represent different years score
- · Display appropriate titles for axis and chart
- · Show legends
4. Display data of all players for the specific year.
Ans 1. :
import matplotlib.pyplot as plt
import numpy as np
Year=[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]
n=4
r=np.arange(n)
width = 0.25
plt.bar(r, Virat_Kohli, color = 'b',width = width, edgecolor = 'black', label='Virat Kohli')
plt.bar(r + width, Rohit_Sharma, color = 'g',width = width, edgecolor = 'black',label='Rohit_Sharma')
plt.grid(linestyle='--')
plt.xticks(r + width/2,['2018','2019','2020','2021'])
plt.legend()
plt.show()
Ans 2: Create a bar chart to display data of Steve Smith, Kane Williamson & Jos Butler. Customize Chart as per your wish.
import matplotlib.pyplot as plt
import numpy as np
Year=[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]
n=4
r=np.arange(n)
width = 0.25
plt.bar(r, Steve_Smith, color = 'b',width = width, edgecolor = 'black', label='Steve_Smith')
plt.bar(r + width, Kane_Williamson, color = 'm',width = width, edgecolor = 'black',label='Kane_Williamson')
plt.bar(r + width*2, Jos_Butler, color = 'r',width = width, edgecolor = 'black',label='Jos_Butler')
plt.grid(linestyle='--')
plt.xticks(r + width/2,['2018','2019','2020','2021'])
plt.legend()
plt.show()
Ans3 : Display data of all players for the specific year
import matplotlib.pyplot as plt
import numpy as np
Year=[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]
n=4
r=np.arange(n)
width = 0.15
plt.bar(r, Virat_Kohli, color = 'k',width = width, edgecolor = 'black', label='Virat Kohli')
plt.bar(r + width, Rohit_Sharma, color = 'g',width = width, edgecolor = 'black',label='Rohit_Sharma')
plt.bar(r + width*2, Steve_Smith, color = 'b',width = width, edgecolor = 'black', label='Steve_Smith')
plt.bar(r + width*3, Kane_Williamson, color = 'm',width = width, edgecolor = 'black',label='Kane_Williamson')
plt.bar(r + width*4, Jos_Butler, color = 'r',width = width, edgecolor = 'black',label='Jos_Butler')
plt.grid(linestyle='--')
plt.xticks(r + width/2,['2018','2019','2020','2021'])
plt.legend()
plt.show()
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