Data Analytics using Python Visualizations - Creating 3D Plots Including 3D Contours

Data Analytics using Python Visualizations - Creating 3D Plots Including 3D Contours

Assessment

Interactive Video

Information Technology (IT), Architecture, Social Studies, Physics, Science

University

Practice Problem

Hard

Created by

Wayground Content

FREE Resource

This video tutorial covers the creation of 3D plots using Matplotlib, including 3D axes, Helix plots, scatter plots, and contour plots. It explains the use of projection 3D for creating 3D axes and demonstrates practical examples like drawing a Helix and generating scatter and contour plots. The tutorial also discusses customizing plots with color parameters and provides insights into the mathematical formulas used for plotting.

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7 questions

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1.

OPEN ENDED QUESTION

3 mins • 1 pt

What are 3D plots useful for?

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2.

OPEN ENDED QUESTION

3 mins • 1 pt

Describe the process of creating a 3D axis.

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3.

OPEN ENDED QUESTION

3 mins • 1 pt

What is a Helix and how is it represented in 3D plots?

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4.

OPEN ENDED QUESTION

3 mins • 1 pt

Explain how to create a 3D scatter plot.

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5.

OPEN ENDED QUESTION

3 mins • 1 pt

What is the significance of the Z axis in a 3D scatter plot?

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6.

OPEN ENDED QUESTION

3 mins • 1 pt

How do you create a 3D contour plot?

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7.

OPEN ENDED QUESTION

3 mins • 1 pt

What are some resources to learn more about 3D shapes and plots?

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