Created
February 10, 2019 16:45
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2dplot example - Python
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| import numpy as np | |
| import matplotlib.pyplot as plt | |
| # Generate fake data | |
| x = np.linspace(-5, 5, 151); | |
| y = np.linspace(-3, 3, 251); | |
| X, Y = np.meshgrid(x, y) | |
| Z1 = np.sin(X*Y)**2 - np.cos(X*Y)**2 - X - Y | |
| # Save data | |
| coords = np.vstack((X.flatten(), Y.flatten())).T | |
| data = np.vstack((coords.T, Z1.flatten())).T | |
| np.savetxt('example.dat', data) | |
| # Visualize | |
| plt.figure() | |
| plt.title('Z1') | |
| plt.imshow(Z1, extent=[x.min(), x.max(), y.min(), y.max()], | |
| origin='lower', aspect='auto', | |
| interpolation='lanczos') | |
| plt.colorbar() | |
| plt.xlabel('x') | |
| plt.ylabel('y') | |
| # Reload data and replot | |
| data = np.loadtxt('example.dat') | |
| x = np.unique(data[:,0]) | |
| y = np.unique(data[:,1]) | |
| Z2 = data[:,2].reshape(len(y), len(x)) | |
| plt.figure() | |
| plt.title('Z2') | |
| plt.imshow(Z2, extent=[x.min(), x.max(), y.min(), y.max()], | |
| origin='lower', aspect='auto', | |
| interpolation='lanczos') | |
| plt.colorbar() | |
| plt.xlabel('x') | |
| plt.ylabel('y') | |
| # Show | |
| plt.show() |
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