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CBSE
Class 12
Informatics Practices
Informatics Practices
Plotting Data using Matplotlib

Question Bank

Practice Hub

Question Bank: Plotting Data using Matplotlib

This chapter focuses on visualizing data using Matplotlib, a powerful Python library. It is essential for understanding data relationships through plotting graphs.

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Question Practice

Practice chapter questions in a cleaner, exam-ready flow

Start with curated question sets, move into full module views when needed, and keep discovering related practice without losing your place in the chapter.

Question Bank - Plotting Data using Matplotlib

View all (60)
Q1.

What is the primary purpose of using Matplotlib in Python?

Single Answer MCQ
Q-00094125
View explanation
Q2.

Which command is used to install the Matplotlib library?

Single Answer MCQ
Q-00094126
View explanation
Q3.

What is the correct way to import the Pyplot module from Matplotlib?

Single Answer MCQ
Q-00094127
View explanation
Q4.

Which function is commonly used to create a simple line plot in Matplotlib?

Single Answer MCQ
Q-00094128
View explanation
Q5.

In Matplotlib, what does the 'show()' function do?

Single Answer MCQ
Q-00094129
View explanation
Q6.

What type of plot would best visualize the relationship between two variables?

Single Answer MCQ
Q-00094130
View explanation
Q7.

To set the x-axis label in a plot, which function should be used?

Single Answer MCQ
Q-00094131
View explanation
Q8.

Which of the following methods can be used to customize the color of a line in a plot?

Single Answer MCQ
Q-00094132
View explanation
Q9.

What does the 'plt.figure()' function do?

Single Answer MCQ
Q-00094133
View explanation
Q10.

Which attribute is used to specify the size of a figure in Matplotlib?

Single Answer MCQ
Q-00094134
View explanation
Q11.

What is the default marker shape in a scatter plot if not specified?

Single Answer MCQ
Q-00094135
View explanation
Q12.

Which of the following is a common misconception about plots?

Single Answer MCQ
Q-00094136
View explanation
Q13.

When creating multi-line plots, what should be considered to avoid confusion?

Single Answer MCQ
Q-00094137
View explanation
Q14.

Which function allows plotting data directly from a Pandas DataFrame?

Single Answer MCQ
Q-00094138
View explanation
Q15.

What is data visualization?

Single Answer MCQ
Q-00094139
View explanation
Q16.

Why is data visualization important?

Single Answer MCQ
Q-00094140
View explanation
Q17.

Which of the following tools is commonly used for data visualization in Python?

Single Answer MCQ
Q-00094141
View explanation
Q18.

What do you primarily use to display a scatter plot in Matplotlib?

Single Answer MCQ
Q-00094142
View explanation
Q19.

When would you use a bar chart instead of a line chart?

Single Answer MCQ
Q-00094143
View explanation
Q20.

What does the term 'plotting data' refer to?

Single Answer MCQ
Q-00094144
View explanation
Q21.

Which statement correctly describes Matplotlib’s capabilities?

Single Answer MCQ
Q-00094145
View explanation
Q22.

In Matplotlib, what does the 'xlabel' function do?

Single Answer MCQ
Q-00094146
View explanation
Q23.

If you see uneven distribution in a histogram, what might this indicate?

Single Answer MCQ
Q-00094147
View explanation
Q24.

What is a key benefit of visualizing data rather than just using numbers?

Single Answer MCQ
Q-00094148
View explanation
Q25.

In which scenario is a pie chart most suitable?

Single Answer MCQ
Q-00094149
View explanation
Q26.

Which method would you use to save a Matplotlib plot to a file?

Single Answer MCQ
Q-00094150
View explanation
Q27.

Why might you choose a line plot over a scatter plot?

Single Answer MCQ
Q-00094151
View explanation
Q28.

What might be misleading about a poorly scaled graph?

Single Answer MCQ
Q-00094152
View explanation
Q29.

What function can be used to plot data in Pandas?

Single Answer MCQ
Q-00094153
View explanation
Q30.

Which of the following plot types is NOT supported by the Pandas plot function?

Single Answer MCQ
Q-00094154
View explanation
Q31.

What is the default plotting type when using df.plot()?

Single Answer MCQ
Q-00094155
View explanation
Q32.

Which method would you use to specify the color of lines in a Pandas plot?

Single Answer MCQ
Q-00094156
View explanation
Q33.

To create a bar plot in Pandas, which argument needs to be specified in the plot function?

Single Answer MCQ
Q-00094157
View explanation
Q34.

What does the plt.title() function do in Pandas plotting?

Single Answer MCQ
Q-00094158
View explanation
Q35.

In a DataFrame, which function can be used to visualize the frequency distribution of a single variable?

Single Answer MCQ
Q-00094159
View explanation
Q36.

Which argument can be used in the df.plot() function to create a pie chart?

Single Answer MCQ
Q-00094160
View explanation
Q37.

If you want to customize the marker of a line plot in Pandas, which argument can be used?

Single Answer MCQ
Q-00094161
View explanation
Q38.

Which of the following functions allows you to summarize data visually in Pandas?

Single Answer MCQ
Q-00094162
View explanation
Q39.

When creating a scatter plot in Pandas, which two DataFrame columns are typically specified?

Single Answer MCQ
Q-00094163
View explanation
Q40.

Which method is used to display a finally configured plot in Pandas?

Single Answer MCQ
Q-00094164
View explanation
Q41.

In terms of data visualization, what is primarily shown by a box plot?

Single Answer MCQ
Q-00094165
View explanation
Q42.

What is the purpose of setting a figsize in a Pandas plot?

Single Answer MCQ
Q-00094166
View explanation
Q43.

Which of the following statements correctly describes the use of DataFrame.plot() data visualization?

Single Answer MCQ
Q-00094167
View explanation
Q44.

What should be the output of a line plot created using the command df.plot(marker='o', color='blue')?

Single Answer MCQ
Q-00094168
View explanation
Q45.

Which function is used to set the title of a plot in Matplotlib?

Single Answer MCQ
Q-00094169
View explanation
Q46.

What does the 'grid()' function do in Matplotlib?

Single Answer MCQ
Q-00094170
View explanation
Q47.

Which parameter is correctly used with 'xlabel()' to set the label for the x-axis?

Single Answer MCQ
Q-00094171
View explanation
Q48.

What is the purpose of the 'legend()' function in Matplotlib?

Single Answer MCQ
Q-00094172
View explanation
Q49.

In Matplotlib, how can you save a figure to a file?

Single Answer MCQ
Q-00094173
View explanation
Q50.

Which of the following functions can be used to specify the color of markers in a scatter plot?

Single Answer MCQ
Q-00094174
View explanation
Q51.

If you want to modify the tick labels on the x-axis, which function should you use?

Single Answer MCQ
Q-00094175
View explanation
Q52.

What is the purpose of the 'ylabel()' function in Matplotlib?

Single Answer MCQ
Q-00094176
View explanation
Q53.

Which Matplotlib function displays the plot after customization?

Single Answer MCQ
Q-00094177
View explanation
Q54.

In a bar plot, which parameter can be adjusted to set the width of the bars?

Single Answer MCQ
Q-00094178
View explanation
Q55.

Which command would you use to add a grid to your plot?

Single Answer MCQ
Q-00094179
View explanation
Q56.

What does the 'linewidth' parameter control in plot customization?

Single Answer MCQ
Q-00094180
View explanation
Q57.

If a plot is very crowded, what can you adjust to improve clarity?

Single Answer MCQ
Q-00094181
View explanation
Q58.

What is the effect of using the 'alpha' parameter in a plot?

Single Answer MCQ
Q-00094182
View explanation
Q59.

Which method allows you to modify the legend attributes after it has been created?

Single Answer MCQ
Q-00094183
View explanation
Q60.

In a plot, if the x-axis and y-axis are of different scales, which plot type would you most likely use?

Single Answer MCQ
Q-00094184
View explanation
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