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Create a Surface Plot from a Matrix #numpy #matplotlib #python
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| import numpy as np | |
| import matplotlib.pyplot as plt | |
| from mpl_toolkits.mplot3d import Axes3D | |
| def surface_plot (matrix, **kwargs): | |
| # acquire the cartesian coordinate matrices from the matrix | |
| # x is cols, y is rows | |
| (x, y) = np.meshgrid(np.arange(matrix.shape[0]), np.arange(matrix.shape[1])) | |
| fig = plt.figure() | |
| ax = fig.add_subplot(111, projection='3d') | |
| surf = ax.plot_surface(x, y, matrix, **kwargs) | |
| return (fig, ax, surf) | |
| # m.shape must be (10,10) | |
| m = np.fromfunction(lambda x, y: np.sin(np.sqrt(x**2 + y**2)), (10, 10)) | |
| (fig, ax, surf) = surface_plot(m, cmap=plt.cm.coolwarm) | |
| fig.colorbar(surf) | |
| ax.set_xlabel('X (cols)') | |
| ax.set_ylabel('Y (rows)') | |
| ax.set_zlabel('Z (values)') | |
| plt.show() |
Change:
(x, y) = np.meshgrid(np.arange(matrix.shape[0]), np.arange(matrix.shape[1]))
to:
(x, y) = np.meshgrid(np.arange(matrix.shape[1]), np.arange(matrix.shape[0]))
in order to remove the restriction that m.shape must be square.
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how to defend result a (matrix line * matrix clone) in python as function. help me