Matplotlib Online Test

Candidates Assessed

23612+

Organizations Served

128+

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%.

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

Autocorrelation Plot

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

Bar Plot

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

Stacked Bar Chart

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

Stem Plot

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

Horizontal Bar Plot

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

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

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

Topic:

Matplotlib

Difficulty:

Hard

Q 1. You are plotting a bar chart on a polar axis with given colors for every bar and want to set the intensity of colors to 0.5. What is the correct way to accomplish the task?

Refer to the 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

Topic:

Matplotlib

Difficulty:

Medium

Q 2. You have the following Python code snippet and pie chart. What should you write in 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()
Function
plt.show()

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%%')

You can customize this test by

Setting difficulty level of test

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

Combining multiple skills into one test

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

Adding your own questions to the test

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

Requesting a tailor-made test

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

Related Skills

Trusted By

“The best part of iMocha is they have topic wise questions available. So if there is a need to evaluate Java or .Net skills of the employees, you can create specific assessments which will accurately measure their knowledge in that skill.”