Clock
Test duration:
20
min
Notes
No. of questions:
10
Tie
Level of experience:
Entry/Mid/Expert

Matplotlib Test

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 costs by 40%.

23612
+
Candidates
Assessed
128
+
Organizations Served
Fujitsu
Paypal
Capgemini
Deloitte
Coupa
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About

Matplotlib Online Test

Matplotlib is a library known for its comprehensiveness in creating static, animated, and interactive visualizations in Python. Matplotlib has the 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 (SMEs) to evaluate and hire data analysts in Python as per the industry standards.

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How it works

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 plots, Stacked Bar charts, Stem plots, Horizontal Bar plots, etc.
  • Experience in handling other modules used in the Matplotlib library.
  • Familiarity with terms like Coherence, Subplot Projection Dimension, and Axes Share.


Matplotlib test has a robust 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-make the skills assessment 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
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&

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

Question types :

Multiple Option

Topic:

Difficulty:

Hard


Q 1. You have been asked to train « Naive Bayes model for spam detection dataset

Using Python command, what wil you add in the given code at XXXX to deciore, it and train your modal for the given dataset?

import numpy os np

X= nporroyll 3. 2b[1 21 [2.21.[3,21)
Y= nporray(fi.a,a.1))

XXXX

from skinamnaive_bayas import

Gaussianna

otf = Gaussianne()

ceataie(x ¥)

from skinamnaive_bayas import

Gaussianna

otf = Gaussianne()

ceataie(x ¥)

from skinamnaive_bayas import

Gaussianna

otf = Gaussianne()

ceataie(x ¥)

from skinamnaive_bayas import

Gaussianna

otf = Gaussianne()

ceataie(x ¥)

Question types :

Multiple Option

Topic:

Machine teaming

Difficulty:

Hard


Q 1. Q2 Lets assume that you have 6 Pandas DataFrome(af) in the below tole.

Index Code Open High
0 AAPL 19877 70074
1 AAPL 19877 70074
2 AAPL 19877 70074
3 AAPL 19877 70074
4 AAPL 19877 70074

When the following commend is executed, what hoppens to the DatoFrome?

df= defiinat()
Y= nporray(fi.a,a.1))

Index Code Open High
0 AAPL 19877 70074
1 AAPL 19877 70074
2 AAPL 19877 70074
3 AAPL 19877 70074
4 AAPL 19877 70074
Index Code Open High
0 AAPL 19877 70074
1 AAPL 19877 70074
2 AAPL 19877 70074
3 AAPL 19877 70074
4 AAPL 19877 70074
it gives an error becouse of the third row which has on empty string.
None of these

Question types :

Multiple Option

Topic:

Matplotlib

Difficulty:

Hard

Question:

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


Options

  • 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)
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FAQ
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