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7 | 7 | import numpy as np
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8 | 8 | from numpy.random import uniform, seed
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9 | 9 | from matplotlib.mlab import griddata
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10 |
| -from matplotlib.colors import Normalize |
11 | 10 | import time
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12 | 11 |
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13 | 12 | seed(0)
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26 | 25 | zi = griddata(x, y, z, xi, yi, interp='linear')
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27 | 26 | plt.contour(xi, yi, zi, 15, linewidths=0.5, colors='k')
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28 | 27 | plt.contourf(xi, yi, zi, 15, cmap=plt.cm.rainbow,
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29 |
| - norm=Normalize(vmax=abs(zi).max(), vmin=-abs(zi).max())) |
| 28 | + norm=plt.Normalize(vmax=abs(zi).max(), vmin=-abs(zi).max())) |
30 | 29 | plt.colorbar() # draw colorbar
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31 | 30 | plt.plot(x, y, 'ko', ms=3)
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32 | 31 | plt.xlim(-2, 2)
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41 | 40 | triang = tri.Triangulation(x, y)
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42 | 41 | plt.tricontour(x, y, z, 15, linewidths=0.5, colors='k')
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43 | 42 | plt.tricontourf(x, y, z, 15, cmap=plt.cm.rainbow,
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44 |
| - norm=Normalize(vmax=abs(zi).max(), vmin=-abs(zi).max())) |
| 43 | + norm=plt.Normalize(vmax=abs(zi).max(), vmin=-abs(zi).max())) |
45 | 44 | plt.colorbar()
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46 | 45 | plt.plot(x, y, 'ko', ms=3)
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47 | 46 | plt.xlim(-2, 2)
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