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Table of Contents
? Basic 3D surface diagram example
? illustrate
? Other common 3D graph types (blue examples)
1. 3D Scatter Plot
2. 3D curve graph (Line Plot)
3. 3D Bar Plot
? Tips
Home Backend Development Python Tutorial python matplotlib 3d plot example

python matplotlib 3d plot example

Jul 31, 2025 am 06:53 AM

First, use matplotlib and mpl_toolkits.mplot3d to draw a 3D surface diagram. The specific steps are: 1. Use np.linspace and np.meshgrid to create two-dimensional mesh data; 2. Calculate the corresponding Z value; 3. Create the ax.plot_surface to draw the surface and set the color map; 5. Add title, axis labels and color bars; 6. Use plt.show() to display the figure, which can be extended to 3D scatter plots, curve charts, and bar charts.

python matplotlib 3d plot example

Here is a simple example of using Python's matplotlib to draw a 3D surface plot. This example uses the mpl_toolkits.mplot3d module to support 3D drawing.

python matplotlib 3d plot example

? Basic 3D surface diagram example

 import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D # Required for 3D plotting

# Create data x = np.linspace(-5, 5, 100)
y = np.linspace(-5, 5, 100)
X, Y = np.meshgrid(x, y)
Z = np.sin(np.sqrt(X**2 Y**2)) # Example function: Radial Sine# Create 3D image fig = plt.figure(figsize=(8, 6))
ax = fig.add_subplot(111, projection='3d')

# Draw surface surf = ax.plot_surface(X, Y, Z, cmap='viridis', edgecolor='none', alpha=0.9)

# Add title and tag ax.set_title('3D Surface Plot of sin(r)')
ax.set_xlabel('X axis')
ax.set_ylabel('Y axis')
ax.set_zlabel('Z axis')

# Add color bar fig.colorbar(surf, ax=ax, shrink=0.5, aspect=10)

# Show the graphics plt.show()

? illustrate

  • np.meshgrid : Converts one-dimensional x and y into a two-dimensional grid to calculate the z-value corresponding to each (x, y) point.
  • projection='3d' : Enable 3D axis.
  • plot_surface : Draws a 3D surface, cmap controls color mapping.
  • alpha : Controls transparency (optional).
  • colorbar : Displays the color scale corresponding to the height (Z value).

? Other common 3D graph types (blue examples)

1. 3D Scatter Plot

 ax.scatter(X.flatten(), Y.flatten(), Z.flatten(), c=Z.flatten(), cmap='coolwarm', s=10)

2. 3D curve graph (Line Plot)

 t = np.linspace(0, 10, 100)
x = np.sin(t)
y = np.cos(t)
z = t
ax.plot(x, y, z, label='3D helix')
ax.legend()

3. 3D Bar Plot

 x = y = np.arange(4)
xx, yy = np.meshgrid(x, y)
x, y = xx.ravel(), yy.ravel()
z = np.zeros_like(x)
dx = dy = 0.5 * np.ones_like(x)
dz = np.random.rand(16)
ax.bar3d(x, y, z, dx, dy, dz, shade=True)

? Tips

  • Make sure matplotlib is installed:
     pip install matplotlib
  • Although Axes3D imports can sometimes be omitted in new versions, explicit imports are safer.
  • The viewing angle ( ax.view_init(elev, azim) elev, azim).

  • Basically that's it. This example is enough to help you start using Matplotlib for 3D visualization. Not complicated but it is easy to ignore details, such as meshgrid and projection='3d' .

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