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