CBSE Class 11 & 12 Computer Science and Informatics Practices Python Materials, Video Lecture

1. Write a program that will draw the following figure:
2. Create a Horizontal Bar chart for:
 City Population Delhi 10000000 Mumbai 30000000 Kolkata 15000000 Bangalore 20000000
• Display the names of X and Y axis
• Display Graph Name

3. Write a python program to create a pie chart for the population of following states:
 State Population (in Cr) West Bengal 10 Maharashtra 12 Utter Pradesh 20 Madhya Pradesh 8

Pie chart should display:
• Name of each state
• Percentage in the form (xx.yy%)
• Pop up the West Bengal state
• Add legend in the Pie Chart

4. Solve the below Questions ((a)-> 2 Marks, (b),(c) -> 1 Marks)
• (a) Draw the plot for the following code:
x=np.arange(0,50,1)
plt.plot(x,x)
plt.show()

• (b) Write the command to add “X-axis”,”Y-axis” to respectively on X and Y axis.
• (c) Write Command to add name for the Plot.

5. Write a python program to draw a bar chart with the following information:
 City pollution Kolkata 78 Delhi 91 Kanpur 88 Patna 90 Banglore 82
• a) X-axis label should be City and Y-axis label should be Pollution
• b) The title of the chart should be Pollution Index
• c) The colour of the bars should be Red
Use proper import statements in the program.

6. Write a python program to draw a histogram with following information:
10 15 10 10 10 15 20 20 20 20 20 25 25
The histogram should have following information
• a) X-axis label should be score and Y-axis should be Frequency
• b) The title should be Frequency of Score
• c) The colour of histogram should be blue with 10 bins
Use proper import statements in the program
7. Write commands to plot the chart as per given instructions:
• Plot the same line in red color dashed line with line width = 3
• Mention label on x axis as “x in range -50 to 50”, y axis as “y=x+5” and the title of the plot as “mytitle”.
8. Consider data frame as shown below.
Category199520002005
A52148230
B66136283
C78176236
D94122315
E104154286
• Create a histogram using this data frame.
• A scatter chart from 1995 and 2005 columns of dataframe.