# Differentiate the orthographic and perspective projection in Matplotlib

MatplotlibPythonData Visualization

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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 09:25:33