Question 1

Question 31Which argument should be set to display percentage share of each pie on a pie chart ?labelautopctexplodewedge

Accepted Answer

autopctReason — To view the percentage of share in a pie chart, we need to add an argument autopct with a format string, such as "%1.1F%%".

Source: This question is from Plotting with Pyplot, Informatics Practices &mdash; Class 12, CBSE Board.
Key Concepts CoveredThis question tests your understanding of the following concepts from the chapter Plotting with Pyplot: Question, Argument, Set, Display, Percentage, Share. These are fundamental topics in Informatics Practices that students are expected to master as part of the CBSE Class 12 curriculum.A thorough understanding of these concepts will help you answer similar questions confidently in your CBSE examinations. These topics are frequently tested in both objective and subjective sections of Informatics Practices papers. We recommend revising the relevant section of your textbook alongside practising these solved examples to build a strong foundation.
How to Approach MCQsMultiple choice questions test your ability to quickly recall facts and apply concepts. Read all options carefully before selecting your answer. Use the process of elimination to rule out clearly incorrect options first. If two options seem similar, look for the subtle difference that makes one more accurate. For numerical MCQs, verify your answer by substituting it back into the problem.
Key Points to RememberRead the question carefully and identify all parts before answering.
Use the terminology specific to this subject and chapter.
Review the textbook content for this chapter before attempting questions.
Practice writing concise, well-structured answers within time limits.
Related Questions from Plotting with PyplotQ1: Question 1(a) Execute the following codes and find out what happens ? (Libraries have been imported...
Q10: Question 7(b) Given a data frame df1 as shown below : 1990 2000 2010 a 52 340 890 b 64 480 560 c 78...
Q11: Question 7(c) Given a data frame df1 as shown below : 1990 2000 2010 a 52 340 890 b 64 480 560 c 78...
Q12: Question 8 The score of four teams in 5 IPL matches is available to you. Write a program to plot...
Q13: Question 9 The score of a team in 5 IPL matches is available to you. Write a program to create a...
Practice more questions from Plotting with Pyplot &mdash; Informatics Practices, Class 12 CBSE

Question 2

Question 32Which function creates a box plot ?box()plot()boxplot()showbox()

Accepted Answer

boxplot()Reason — The boxplot() function is used to create box plots in Matplotlib.

Source: This question is from Plotting with Pyplot, Informatics Practices &mdash; Class 12, CBSE Board.
Key Concepts CoveredThis question tests your understanding of the following concepts from the chapter Plotting with Pyplot: Question, Creates, Box, Plot, Boxplot, Showbox. These are fundamental topics in Informatics Practices that students are expected to master as part of the CBSE Class 12 curriculum.A thorough understanding of these concepts will help you answer similar questions confidently in your CBSE examinations. These topics are frequently tested in both objective and subjective sections of Informatics Practices papers. We recommend revising the relevant section of your textbook alongside practising these solved examples to build a strong foundation.
How to Approach MCQsMultiple choice questions test your ability to quickly recall facts and apply concepts. Read all options carefully before selecting your answer. Use the process of elimination to rule out clearly incorrect options first. If two options seem similar, look for the subtle difference that makes one more accurate. For numerical MCQs, verify your answer by substituting it back into the problem.
Key Points to RememberRead the question carefully and identify all parts before answering.
Use the terminology specific to this subject and chapter.
Review the textbook content for this chapter before attempting questions.
Practice writing concise, well-structured answers within time limits.
Related Questions from Plotting with PyplotQ1: Question 1(a) Execute the following codes and find out what happens ? (Libraries have been imported...
Q10: Question 7(b) Given a data frame df1 as shown below : 1990 2000 2010 a 52 340 890 b 64 480 560 c 78...
Q11: Question 7(c) Given a data frame df1 as shown below : 1990 2000 2010 a 52 340 890 b 64 480 560 c 78...
Q12: Question 8 The score of four teams in 5 IPL matches is available to you. Write a program to plot...
Q13: Question 9 The score of a team in 5 IPL matches is available to you. Write a program to create a...
Practice more questions from Plotting with Pyplot &mdash; Informatics Practices, Class 12 CBSE

Question 3

Question 33Which argument of boxplot() is used to create a filled boxplot ?fillboxpatch_artistpatch

Accepted Answer

patch_artistReason — The patch_artist argument in the boxplot() function is used to create a filled box plot. When set to True, it fills the boxes of the box plot with a color, making them more visually distinct.

Question 4

Question 1(a)Execute the following codes and find out what happens ? (Libraries have been imported already ; plt is the alias name for matplotlib.pyplot)A = np.arange(2, 20, 2)
B = np.log(A)
plt.plot(A, B)Will this code produce error ? Why/Why not ?

Accepted Answer

Executing the provided code will not produce an error. It will generate a plot of the logarithm of A against A itself.OutputExplanationThe line A = np.arange(2, 20, 2) creates an array A using NumPy's arange() function. It starts from 2, increments by 2, and includes values up to 20. This results in the array [2, 4, 6, 8, 10, 12, 14, 16, 18]. Next, the line B = np.log(A) calculates the natural logarithm of each element in array A using NumPy's log() function and stores the results in array B. Finally, plt.plot(A, B) plots the values in array A along the x-axis and the corresponding values in array B along the y-axis using Matplotlib's plot() function.

Question 5

Question 1(b)Execute the following codes and find out what happens ? (Libraries have been imported already ; plt is the alias name for matplotlib.pyplot)A = np.arange(2, 20, 2)
B = np.log(A)
plt.bar(A, B)Will this code produce error ? Why/Why not ?

Accepted Answer

Executing the provided code will not produce an error. However, the resulting plot might not be as expected because the x-axis values are discrete and categorical, not continuous.OutputExplanationThe line A = np.arange(2, 20, 2) creates an array A using NumPy's arange() function. It starts from 2, increments by 2, and includes values up to 20. This results in the array [2, 4, 6, 8, 10, 12, 14, 16, 18]. Next, the line B = np.log(A) calculates the natural logarithm of each element in array A using NumPy's log() function and stores the results in array B. Finally, plt.bar(A, B) creates a bar plot using Matplotlib's bar() function. It plots the values in array A along the x-axis and the corresponding values in array B along the y-axis.

Question 6

Question 1(c)Execute the following codes and find out what happens ? (Libraries have been imported already ; plt is the alias name for matplotlib.pyplot)X = np.arange(1, 18, 2.655)
B = np.log(X)
plt.scatter(X, Y)Will this code produce error ? Why/Why not ?

Accepted Answer

The code will produce an error because the variable Y is not defined.The corrected code is:X = np.arange(1, 18, 2.655)
B = np.log(X)
plt.scatter(X, B)OutputExplanationThe line X = np.arange(1, 18, 2.655) creates an array X using NumPy's arange() function. It starts from 1, increments by 2.655, and generates values less than 18. The resulting array will look like [1., 3.655, 6.31, 8.965, 11.62, 14.275, 16.93]. Next, the line B = np.log(X) calculates the natural logarithm of each element in array X using NumPy's log() function. Finally, the line plt.scatter(X, Y) attempts to use Matplotlib's scatter() function to create a scatter plot. However, Y is not defined in code, leading to a NameError.

Question 7

Question 2Write the output from the given python code :import matplotlib.pyplot as plt
Months = ['Dec', 'Jan', 'Feb', 'Mar']
Attendance = [70, 90, 75, 95]
plt.bar(Months, Attendance)
plt.show()

Accepted Answer

OutputExplanationThis code snippet uses Matplotlib to create a bar chart. The list Months contains the names of the months ['Dec', 'Jan', 'Feb', 'Mar'], while the list Attendance holds corresponding attendance values [70, 90, 75, 95]. The plt.bar() function is then used to create a bar plot, where each bar represents a month and its height corresponds to the attendance value. Finally, plt.show() is called to display the plot.

Question 8

Question 3Write a program to add titles for the X-axis, Y-axis and for the whole chart in below code.import matplotlib.pyplot as plt
Months = ['Dec', 'Jan', 'Feb', 'Mar']
Attendance = [70, 90, 75, 95]
plt.bar(Months, Attendance)
plt.show()

Accepted Answer

import matplotlib.pyplot as plt
Months = ['Dec', 'Jan', 'Feb', 'Mar']
Attendance = [70, 90, 75, 95]
plt.bar(Months, Attendance)
plt.xlabel('Months')  
plt.ylabel('Attendance')
plt.title('Attendance Report')

plt.show()Output

Question 9

Question 4plt.plot(A, B) produces (A and B are the sequences same as created in question 1) chart as :Write code to produce charts as shown below:

Accepted Answer

import numpy as np
import matplotlib.pyplot as plt

A = np.arange(2, 20, 2)
B = np.log(A)
C = np.log(A) * 1.2 
plt.plot(A, B)
plt.plot(A, C)
plt.show()Outputimport numpy as np
import matplotlib.pyplot as plt

A = np.arange(2, 20, 2)
B = np.log(A)
C = np.log(A) * (-1.2) 
plt.plot(A, B)
plt.plot(A, C)
plt.show()Output

Question 10

Question 5Write suitable Python code to create 'Favourite Hobby' Bar Chart as shown below :Also give suitable python statement to save this chart.

Accepted Answer

import matplotlib.pyplot as plt
hobbies = ['Dance', 'Music', 'Painting', 'Playing Sports']
people_count = [300, 400, 100, 500]
plt.bar(hobbies, people_count)
plt.xlabel('Hobbies')
plt.ylabel('Number of People')
plt.title('Favourite Hobby')
plt.savefig('favourite_hobby_chart.png')
plt.show()Output

Question 11

Question 6Consider the following graph. Write the Python code to plot it. Also add the Title, label for X and Y axis.Using the following data for plotting the graphsmarks = [10, 40, 30, 60, 55]
sname = ["Sahil", "Deepak", "Anil", "Ravi", "Riti"]

Accepted Answer

import matplotlib.pyplot as plt
smarks = [10, 40, 30, 60, 55]
sname = ["Sahil", "Deepak", "Anil", "Ravi", "Riti"]
plt.plot(sname, smarks)
plt.xlabel('Student Name')
plt.ylabel('Marks Scored')
plt.title('Marks Secured by Students in Term-1')
plt.show()Output

Question 12

Question 7(a)Given a data frame df1 as shown below : 199020002010a52340890b64480560c786881102d94766889Write code to create a scatter chart from the 1990 and 2010 columns of dataframe df1.

Accepted Answer

import pandas as pd
import matplotlib.pyplot as plt
data = {'1990': [52, 64, 78, 94],
        '2000': [340, 480, 688, 766],
        '2010': [890, 560, 1102, 889]}
df1 = pd.DataFrame(data, index=['a', 'b', 'c', 'd'])
plt.scatter(df1['1990'], df1['2010'])
plt.show()Output

Question 13

Question 7(b)Given a data frame df1 as shown below : 199020002010a52340890b64480560c786881102d94766889Write code to create a line chart from the 1990 and 2000 columns of dataframe df1.

Accepted Answer

import pandas as pd
import matplotlib.pyplot as plt
data = {'1990': [52, 64, 78, 94],
        '2000': [340, 480, 688, 766],
        '2010': [890, 560, 1102, 889]}
df1 = pd.DataFrame(data, index=['a', 'b', 'c', 'd'])
plt.plot(df1['1990'], df1['2000'])
plt.show()Output

Question 14

Question 7(c)Given a data frame df1 as shown below : 199020002010a52340890b64480560c786881102d94766889Write code to create a bar chart plotting the three columns of dataframe df1.

Accepted Answer

import matplotlib.pyplot as plt
data = {'1990': [52, 64, 78, 94],
        '2000': [340, 480, 688, 766],
        '2010': [890, 560, 1102, 889]}
df1 = pd.DataFrame(data, index=['a', 'b', 'c', 'd'])
df1.plot(kind = 'bar')
plt.show()Output

Question 15

Question 8The score of four teams in 5 IPL matches is available to you. Write a program to plot these in a bar chart.

Accepted Answer

import matplotlib.pyplot as plt
import numpy as np
Matches = ['Match 1', 'Match 2', 'Match 3', 'Match 4', 'Match 5']
Team_A = [150, 160, 170, 180, 190]
Team_B = [140, 150, 160, 170, 180]
Team_C = [130, 140, 150, 160, 170]
Team_D = [120, 130, 140, 150, 160]
X = np.arange(len(Matches))
plt.bar(Matches, Team_A, width = 0.15)
plt.bar(X + 0.15, Team_B, width = 0.15)
plt.bar(X + 0.30, Team_C, width = 0.15)
plt.bar(X + 0.45, Team_D, width = 0.15)
plt.xlabel('Matches')
plt.ylabel('Scores')
plt.title('IPL Scores')
plt.legend()
plt.show()Output

Question 16

Question 9The score of a team in 5 IPL matches is available to you. Write a program to create a pie chart from this data, showing the last match's performance as a wedge.

Accepted Answer

import matplotlib.pyplot as plt
Matches = ['Match 1', 'Match 2', 'Match 3', 'Match 4', 'Match 5']
Team = [150, 160, 170, 180, 190]
expl = [0, 0, 0, 0, 0.2]
plt.pie(Team, labels = Matches, explode = expl)
plt.title('Team A Scores')
plt.show()Output

Question 17

Question 10The prices of a stock for 3 months are given. Write a program to show the variations in prices for each month by 3 lines on same line chart. Make sure to add legends and labels. Show grid also.

Accepted Answer

import matplotlib.pyplot as plt
months = ['January', 'February', 'March']
prices_stock_A = [100, 120, 110]
prices_stock_B = [90, 110, 100]
prices_stock_C = [95, 115, 105]

plt.plot(months, prices_stock_A, label='Stock A', marker='o')
plt.plot(months, prices_stock_B, label='Stock B', marker='s')
plt.plot(months, prices_stock_C, label='Stock C', marker='^')
plt.xlabel('Months')
plt.ylabel('Prices')
plt.title('Stock Prices Variation')
plt.legend()
plt.grid(True)
plt.show()Output

Question 18

Question 11A distribution data stores about 1000 random number. Write a program to create a scatter chart from this data with varying point sizes.

Accepted Answer

import numpy as np
import matplotlib.pyplot as plt
X = np.random.randint(1, 100, size = (1000,))
Y = np.random.randint(1, 100, size = (1000,))
sizes = np.random.randint(10, 100, size=100)
plt.scatter(X, Y, s = sizes, color = 'r')
plt.show()Output

Question 19

Question 12Navya has started an online business. A list stores the number of orders in last 6 months. Write a program to plot this data on a horizontal bar chart.

Accepted Answer

import matplotlib.pyplot as plt
orders = [150, 200, 180, 250, 300, 220]
months = ['January', 'February', 'March', 'April', 'May', 'June']
plt.barh(months, orders)
plt.xlabel('Number of Orders')
plt.ylabel('Month')
plt.title('Number of Orders in Last 6 Months')
plt.show()Output

Question 20

Question 13(a)Given the following set of data :Weight measurements for 16 small orders of French-fries (in grams).

78 72  69 81  63 67  65 75
79 74  71 83  71 79  80 69
Create a simple histogram from the above data.

Accepted Answer

import matplotlib.pyplot as plt
weights = [78, 72, 69, 81, 63, 67, 65, 75, 79, 74, 71, 83, 71, 79, 80, 69]
plt.hist(weights)
plt.title('Weight Distribution of French Fries Orders')
plt.show()Output

Plotting with Pyplot

Multiple Choice Questions

Type C Practicalknowledge Based Questions