Data Structure
Networking
RDBMS
Operating System
Java
MS Excel
iOS
HTML
CSS
Android
Python
C Programming
C++
C#
MongoDB
MySQL
Javascript
PHP
Physics
Chemistry
Biology
Mathematics
English
Economics
Psychology
Social Studies
Fashion Studies
Legal Studies
- Selected Reading
- UPSC IAS Exams Notes
- Developer's Best Practices
- Questions and Answers
- Effective Resume Writing
- HR Interview Questions
- Computer Glossary
- Who is Who
Differentiate the orthographic and perspective projection in Matplotlib
To plot perspective and orthographic projection plots, we can take the following steps −
- Set the figure size and adjust the padding between and around the subplots.
- Create a new figure or activate an existing figure.
- Add an '~.axes.Axes' to the figure as part of a subplot arrangement.
- Set the projection type as 'perspective' on ax1 axis.
- Set the title of the plot.
- Add an '~.axes.Axes' to the figure as part of a subplot arrangement.
- Set the projection type as 'orthographic' on ax2 axis.
- Set the title of the plot.
- To display the figure, use show() method.
Example
import matplotlib.pyplot as plt
plt.rcParams["figure.figsize"] = [7.50, 3.50]
plt.rcParams["figure.autolayout"] = True
fig = plt.figure()
ax1 = fig.add_subplot(1, 2, 1, projection='3d')
ax1.set_proj_type('persp')
ax1.set_title('Perspective')
ax2 = fig.add_subplot(1, 2, 2, projection='3d')
ax2.set_proj_type('ortho')
ax2.set_title('Orthographic')
plt.show()Output
Updated on: 03-Jun-2021
405 Views
Advertisements