Matplotlib Tutorial
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- Matplotlib - Transforms
- Matplotlib - Working with Images
- Mathematical Expressions
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- Matplotlib - 3D Surface plot
- Matplotlib - 3D Wireframe plot
- Matplotlib - 3D Contour Plot
- Three-dimensional Plotting
- Matplotlib - Violin Plot
- Matplotlib - Box Plot
- Matplotlib - Quiver Plot
- Matplotlib - Contour Plot
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- Matplotlib - Twin Axes
- Setting Ticks and Tick Labels
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- Matplotlib - Formatting Axes
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- Matplotlib - Subplot2grid() Function
- Matplotlib - Subplots() Function
- Matplotlib - Multiplots
- Matplotlib - Axes Class
- Matplotlib - Figure Class
- Object-oriented Interface
- Matplotlib - PyLab module
- Matplotlib - Simple Plot
- Matplotlib - Pyplot API
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Matplotlib - 3D Wireframe plot
Matplotpb - 3D Wireframe plot
Wireframe plot takes a grid of values and projects it onto the specified three-dimensional surface, and can make the resulting three-dimensional forms quite easy to visuapze. The plot_wireframe() function is used for the purpose −
from mpl_toolkits import mplot3d import numpy as np import matplotpb.pyplot as plt def f(x, y): return np.sin(np.sqrt(x ** 2 + y ** 2)) x = np.pnspace(-6, 6, 30) y = np.pnspace(-6, 6, 30) X, Y = np.meshgrid(x, y) Z = f(X, Y) fig = plt.figure() ax = plt.axes(projection= 3d ) ax.plot_wireframe(X, Y, Z, color= black ) ax.set_title( wireframe ) plt.show()
The above pne of code will generate the following output −
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