MCQs

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Overall MCQs for Reference

What is Matplotlib primarily used for in Python?
a. Database management
b. Data visualization
c. Web development
d. File handling
Answer: b. Data visualizationincludehelp+1
Who created Matplotlib?
a. Guido van Rossum
b. John Hunter
c. Wes McKinney
d. Rasmus Lerdorf
Answer: b. John Hunterincludehelp
Which type of plots can be created using Matplotlib?
a. Line and bar plots only
b. Only scatter plots
c. Only histograms
d. Line, bar, scatter, histogram
Answer: d. Line, bar, scatter, histogramgeeksforgeeks+1
How do you import the pyplot submodule of Matplotlib?
a. import matplotlib.pyplot as plot
b. import pyplot as plt
c. import matplotlib.pyplot as plt
d. import plt as matplotlib
Answer: c. import matplotlib.pyplot as pltstudyopedia
Is Matplotlib open-source and free?
a. Yes
b. No
c. Only for academic use
d. Only for commercial use
Answer: a. Yesmatplotlib+1
Which Matplotlib function is used for creating a simple line plot?
a. plotline()
b. plot()
c. lineplot()
d. scatter()
Answer: b. plot()geeksforgeeks
What does plt.xlabel() do?
a. Sets x-axis label
b. Sets y-axis label
c. Sets plot title
d. Sets legend
Answer: a. Sets x-axis labelstudyopedia+1
Which argument customizes the color of a bar in a bar plot?
a. bar_color
b. color
c. set_color()
d. customize_color()
Answer: b. colorgeeksforgeeks
How do you display a plot after creating it?
a. plt.end()
b. plt.display()
c. plt.show()
d. pyplot.display()
Answer: c. plt.show()withoutbook+1
What does the function plt.scatter() create?
a. Box plot
b. Histogram
c. Scatter plot
d. Bar plot
Answer: c. Scatter plotgeeksforgeeks+1
Which enables you to create multiple plots in one window?
a. plt.multiplot()
b. plt.subplot()
c. plt.multi()
d. plt.gridplot()
Answer: b. plt.subplot()studocu+1
What does plt.title() set in a plot?
a. X-axis label
b. Y-axis label
c. Plot title
d. None
Answer: c. Plot titlestudyopedia
In which phase of an ML workflow is Matplotlib most frequently used?
a. Exploratory data analysis
b. Model deployment
c. Hyperparameter tuning
d. Model training
Answer: a. Exploratory data analysisshiksha
How can we display multiple graphs in a single figure?
a. plt.show_all()
b. plt.figure()
c. plt.subplot()
d. plt.share()
Answer: c. plt.subplot()studocu+1
Which option customizes the marker in plt.plot()?
a. marker
b. marker_style
c. point
d. marker_type
Answer: a. markerinterviewbit
What is the purpose of plt.legend()?
a. Add axis labels
b. Add a color bar
c. Add a legend
d. Change grid style
Answer: c. Add a legendstudocu+1
To change the background color of a legend, which function is used?
a. bgcolor()
b. set_bgcolor()
c. facecolor()
d. set_facecolor()
Answer: d. set_facecolor()studyopedia
What does plt.hist() create?
a. Pie Chart
b. Histogram
c. Line Chart
d. Scatter Chart
Answer: b. Histogramgeeksforgeeks+1
Matplotlib supports which GUI toolkits?
a. Tkinter
b. wxPython
c. Qt
d. All of the above
Answer: d. All of the aboveincludehelp
What does plt.savefig() do?
a. Saves the figure to a file
b. Runs the figure
c. Displays the plot
d. Removes the plot
Answer: a. Saves the figure to a filegeeksforgeeks+1
Matplotlib is written in which language?
a. Java
b. C++
c. Python
d. R
Answer: c. Pythonmatplotlib+1
Which of these is not a valid function for setting axis limits?
a. plt.xlim()
b. plt.ylim()
c. plt.axlim()
d. plt.axis()
Answer: c. plt.axlim()geeksforgeeks
What is the use of plt.grid()?
a. Creates a grid plot
b. Add grids to background
c. Plots a histogram
d. Colors the axis
Answer: b. Add grids to backgroundtestbook+1
Which statement is true about plt.annotate()?
a. Adds a legend
b. Adds an annotation (text/arrow)
c. Adjusts axis limits
d. Adds label to axis
Answer: b. Adds an annotation (text/arrow)studocu
Which module in Matplotlib is most commonly used for basic plotting?
a. matplotlib.image
b. matplotlib.pyplot
c. matplotlib.lines
d. matplotlib.style
Answer: b. matplotlib.pyplotstudyopedia+1
Which function displays the available styles in Matplotlib?
a. plt.all_styles()
b. plt.show_styles()
c. plt.style.available
d. plt.styles()
Answer: c. plt.style.availablegeeksforgeeks
What does the agg_filter parameter do in Matplotlib?
a. Filter data sets
b. Filter image rendering
c. Apply filter to aggregated images
d. Adjust subplot layout
Answer: c. Apply filter to aggregated imagesgeeksforgeeks
Which function is used to customize tick labels?
a. plt.ticks()
b. plt.set_ticks()
c. plt.xticks(), plt.yticks()
d. plt.ticklabels()
Answer: c. plt.xticks(), plt.yticks()withoutbook+1
What type of visualization is best for comparing categories in Matplotlib?
a. Line plot
b. Histogram
c. Bar chart
d. Pie chart
Answer: c. Bar chartshiksha+1
The default backend for Matplotlib is:
a. Qt5Agg
b. TkAgg
c. WebAgg
d. Agg
Answer: d. Aggmatplotlib
Which of these is a container for all plot elements in Matplotlib?
a. Figure
b. Axes
c. Subplot
d. Patches
Answer: a. Figuregeeksforgeeks
In which format can you NOT save a plot using plt.savefig()?
a. PNG
b. PDF
c. SVG
d. DOCX
Answer: d. DOCXgeeksforgeeks
What does the ‘label’ argument do in plt.plot()?
a. Sets axis label
b. Plots graph label
c. Label for legend
d. Title for grid
Answer: c. Label for legendtestbook+1
Which function is used to adjust the spacing between subplots?
a. plt.subplot_space()
b. plt.subplots_adjust()
c. plt.spacing()
d. plt.plot_spacing()
Answer: b. plt.subplots_adjust()testbook+1
The best way to visualize a correlation between two continuous features is:
a. Bar Chart
b. Pie Chart
c. Scatter Plot
d. Box Plot
Answer: c. Scatter Plotgeeksforgeeks+1
Which is NOT a valid Matplotlib marker style?
a. ‘o’
b. ‘^’
c. ‘s’
d. ‘x2’
Answer: d. ‘x2’interviewbit
Matplotlib can visualize 3D plots using:
a. plot3d()
b. mplot3d toolkit
c. pyplot.3d()
d. mpl3d()
Answer: b. mplot3d toolkitshiksha
Plotting image data in Matplotlib is achieved with:
a. plt.image()
b. plt.showimage()
c. plt.imshow()
d. plt.displayimage()
Answer: c. plt.imshow()interviewbit+1
What does the function plt.clf() do?
a. Clear figure
b. Close plot
c. Clear axes
d. Create figure
Answer: a. Clear figuregeeksforgeeks
What is the purpose of %matplotlib inline in Jupyter Notebooks?
a. Inline variable assignment
b. Plots display inline
c. Improves processing speed
d. Imports matplotlib
Answer: b. Plots display inlineshiksha
Which function formats the date on the x-axis for time series plots?
a. plt.dateformat()
b. matplotlib.dates.DateFormatter()
c. plt.date_formatter()
d. plt.timeformat()
Answer: b. matplotlib.dates.DateFormatter()geeksforgeeks
In Artificial Intelligence, Matplotlib is essential for:
a. Training neural networks
b. Data visualization for EDA
c. Compiling models
d. Hyperparameter tuning
Answer: b. Data visualization for EDAshiksha
What is the role of plt.subplots()?
a. Displays all plots
b. Creates a figure and axes
c. Adds subplot spacing
d. Shows the legend
Answer: b. Creates a figure and axesshiksha+1
Which parameter controls the size of a figure in Matplotlib?
a. figsize
b. size
c. dimension
d. shape
Answer: a. figsizeinterviewbit+1
What is the use of plt.boxplot()?
a. Creates a bar plot
b. Creates a scatter plot
c. Creates a box plot (statistical)
d. Creates a pie chart
Answer: c. Creates a box plot (statistical)shiksha
Which of the following is true for Matplotlib in AI?
a. Only for image processing
b. Only for plotting classification metrics
c. Versatile for all data visualizations
d. Only for regression plots
Answer: c. Versatile for all data visualizationsshiksha+1
What does the ‘alpha’ parameter modify in plots?
a. Axis location
b. Color intensity (transparency)
c. Line style
d. Marker size
Answer: b. Color intensity (transparency)interviewbit+1
Matplotlib integrates seamlessly with:
a. NumPy arrays
b. SQL databases
c. Flask
d. Only CSV files
Answer: a. NumPy arraysgeeksforgeeks+1
How can you add annotations to specific data points in a plot?
a. plt.title()
b. plt.annotate()
c. plt.grid()
d. plt.show()
Answer: b. plt.annotate()studocu
Which of the following is NOT a chart type supported by Matplotlib?
a. Line chart
b. Pie chart
c. Density plot
d. Gantt chart
Answer: d. Gantt chartgeeksforgeeks+2

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