Matplotlib Online Test

Candidates Assessed


Organizations Served


Our Online Matplotlib test is the preferred pre-employment test for recruiters and hiring managers to hire job-fit candidates for roles such as Data Analyst in Python, Python Developer Data Science Developer, Python ML Automation Developer, PySpark Developer, and Image Processing Engineer. The test also helps enterprises to reduce hiring cost by 40%.

About Matplotlib Online Test

Matplotlib is a library that is known for its comprehensiveness in creating static, animated, and interactive visualizations in Python. Matplotlib has significant quality of making easy things easy and hard things possible. Matplotlib also ships with several add-on toolkits, including 3D plotting with mplot3d, axes helpers in axes_grid1, and axis helpers in axis_artist.

Matplotlib test (Python v3)helps tech recruiters and hiring managers to assess candidates’ data visualization skills with Matplotlib. The Matplotlib skills test is designed by experienced Subject Matter Experts (SME) to evaluate and hire data analysts in Python as per the industry standards.

Are you a jobseeker looking to sharpen your skills?

Test Summary

Matplotlib test helps to screen the candidates who possess traits as follows:
  • Strong knowledge of Matplotlib library and its functions
  • Knowledge of using different plots like Bar Plot, Stacked Bar charts, Stem plots, Horizontal Bar plots, etc
  • Experience in handling different modules used in the Matplotlib library
  • Familiarity with terms like Coherence, Subplot Projection Dimension, and Axes Share
Matplotlib test has a powerful reporting feature that will help you get an instant result and share this result with your recruiting team. You can use a ready-to-use assessment or ask us to custom-made the skills assessment as per your job description.

This test may contain MCQs (Multiple Choice Questions), Fill in the Blanks, Whiteboard Questions, Audio / Video Questions, AI-LogicBox (Pseudo-Coding Platform), Coding Simulators, True or False Questions, etc.

Test Duration: 20 minutes

No. of Questions: 10

Level of Expertise: Entry/Mid/Expert

Useful for hiring

  • Data Analyst in Python
  • Python Developer
  • Data Science Developer
  • Python ML Automation Developer
  • PySpark Developer
  • Image Processing Engineer

Topics Covered

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Autocorrelation Plot

Our Matplotlib test assesses the candidate's knowledge of the Autocorrelation plot to check randomness in the data set

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Bar Plot

The Matplotlib skills test evaluates a candidate's knowledge to compare things between different groups or to track changes over time

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Stacked Bar Chart

iMocha's test assesses knowledge on Stacked Bar Chart to compare data categories and visualizing their composition

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Stem Plot

The Matplotlib assessment evalautes candidate's knowledge on Stem plot to extract high value, low value and their placement

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Horizontal Bar Plot

The tech assessment contains questions to check candidate's understanding  plotting a horizontal bar in Matplotlib

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Subplot Projection Dimension

iMocha's Matplotlib online test gauges candidate's understanding of groups of axes which has a control over all the individual plots that are created

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Contour Plot

The Matplotlib test assesses candidate's knowledge of for doing multivariate analysis and visualizing 3-D plots in 2-D space

Sample Questions

Choose from our 100,000+ question library or add your own questions to make powerful custom tests

Question types:

Multiple Option





Q 1. You are trying to plot a bar chart on a polar axis with given colors for every bar. You want to set the intensity of colors to 0.5. Which of the following is the correct way to do so?
Refer to the given sample bar chart on the polar axis with a color intensity of 0.5.

Bar chart image
polar_bar(theta, radii, width=width, color=colors, alpha=0.5)
bar(theta, radii, width=width, color=colors, alpha=0.5)
bar(theta, radii, width=width, color=colors, intensity=0.5)
polar_bar(theta, radii, width=width, color=colors, intensity=0.5)

Question types:

Multiple Option





Q 2. You have the following Python code snippet and pie chart. What should you write in the place of “Function” to produce the given pie chart?

import matplotlib.pyplot as plt
labels = ['Frogs', 'Hogs', 'Dogs', 'Logs']
sizes = [15, 30, 45, 10]
position = (0, 0.1, 0, 0)
fig1, ax1 = plt.subplots()

Matplotlib bar chart image
ax1.pie(sizes, position=position, labels=labels, autopct='%1.1f%%')
ax1.pie(sizes, break=position, labels=labels, autopct='%1.1f%%')
ax1.pie(sizes, break=position, labels=labels, autoper='%1.1f%%')
ax1.pie(sizes, explode=position, labels=labels, autopct='%1.1f%%')

Sample Report

View Full Report . . .

Skill wise performance report by iMocha

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You can customize this test by

difficulty level
Setting difficulty level of test      

Choose easy, medium or hard questions from our skill libraries to assess candidates of different experience levels.                       

multiple skills
Combining multiple skills into one test

Add multiple skills in a single test to create an effective assessment. Assess multiple skills together.                                              

adding own skill
Adding your own questions to the test

Add, edit or bulk upload your own coding questions, MCQ, whiteboarding questions & more.                       

tailor made test
Requesting a tailor-made test                  

Get a tailored assessment created with the help of our subject matter experts to ensure effective screening.

Trusted By

Christoph, e-Zest GmbH
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“Our recruitment team loves iMocha especially for their skill assessments, simulators, and friendly support.”

Christoph, e-Zest GmbH

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