The mplot3d toolkit#

Generating 3D plots using the mplot3d toolkit.

This tutorial showcases various 3D plots. Click on the figures to see each full gallery example with the code that generates the figures.

Contents

• The mplot3d toolkit

  • Line plots

  • Scatter plots

  • Wireframe plots

  • Surface plots

  • Tri-Surface plots

  • Contour plots

  • Filled contour plots

  • Fill between 3D lines

  • Polygon plots

  • Bar plots

  • Quiver

  • 2D plots in 3D

  • Text

3D Axes (of class Axes3D) are created by passing the projection="3d" keyword argument to Figure.add_subplot:

import matplotlib.pyplot as plt
fig = plt.figure()
ax = fig.add_subplot(projection='3d')

Multiple 3D subplots can be added on the same figure, as for 2D subplots.

See the mplot3d FAQ for more information about the mplot3d toolkit.

Line plots#

See Axes3D.plot for API documentation.

Scatter plots#

See Axes3D.scatter for API documentation.

Wireframe plots#

See Axes3D.plot_wireframe for API documentation.

Surface plots#

See Axes3D.plot_surface for API documentation.

Tri-Surface plots#

See Axes3D.plot_trisurf for API documentation.

Contour plots#

See Axes3D.contour for API documentation.

Filled contour plots#

See Axes3D.contourf for API documentation.

Fill between 3D lines#

See Axes3D.fill_between for API documentation.

Polygon plots#

See Axes3D.add_collection3d for API documentation.

Bar plots#

See Axes3D.bar for API documentation.

Quiver#

See Axes3D.quiver for API documentation.

2D plots in 3D#

Text#

See Axes3D.text for API documentation.