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- from matplotlib.colors import LogNorm
- x = logspace(log10(10), log10(1000), 5)
- imshow(vstack((x,x)), extent=[10, 1000, 0, 100], cmap='gray', norm=LogNorm(), interpolation='nearest')
- axvline(100, color='red')
- import pylab as plt
- import numpy as np
- from matplotlib.colors import LogNorm
- from matplotlib.ticker import LogFormatterMathtext
- x=np.logspace(1, 3, 6)
- y=np.logspace(0, 2,3)
- X,Y=np.meshgrid(x,y)
- z = np.logspace(np.log10(10), np.log10(1000), 5)
- Z=np.vstack((z,z))
- im = plt.pcolor(X,Y,Z, cmap='gray', norm=LogNorm())
- plt.axvline(100, color='red')
- plt.xscale('log')
- plt.yscale('log')
- plt.colorbar(im, orientation='horizontal',format=LogFormatterMathtext())
- plt.show()
- im = plt.pcolormesh(X,Y,Z, cmap='gray', norm=LogNorm())
- import matplotlib.pyplot as plt
- import numpy as np
- x = np.logspace(1, 3, 5)
- y = np.linspace(0, 2, 3)
- z = np.linspace(0, 1, 4)
- Z = np.vstack((z, z))
- plt.imshow(Z, extent=[10, 1000, 0, 1], cmap='gray')
- plt.xscale('log')
- plt.axvline(100, color='red')
- plt.show()
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