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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 (Python v3) online test helps tech recruiters and hiring managers to assess candidate’s data visualization skills with Matplotlib. Matplotlib skills test is designed by experienced subject matter experts (SMEs) to evaluate and hire data analyst in Python as per the industry standards.
Matplotlib online testhelps 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 Chart, Stem Plot, Horizontal Bar Plot, etc
Experience in handling different modules used in Matplotlib library
Familiarity with terms like Coherence, Subplot Projection Dimension, and Axes Share
Matplotlib skills 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 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), MAQs (Multiple Answer Questions), Fill in the Blanks, Whiteboard Questions, Audio / Video Questions, LogicBox (AI-based Pseudo-Coding Platform), Coding Simulators, True or False Questions, etc.
This Matplotlib Online Test is useful for hiring
Data Analyst in Python
Data Science Developer
Python ML Automation Developer
Image Processing Engineer
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? Given below is a sample bar chart on the Polar axis with a color intensity of 0.5.
Consider the Python code snippet and the pie chart given below. What should be written in place of “Function” to produce the below-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