使用
vmin并
vmax强制使用颜色范围。这是一个例子：
import matplotlib as mimport matplotlib.pyplot as pltimport numpy as npcdict = { 'red' : ( (0.0, 0.25, .25), (0.02, .59, .59), (1., 1., 1.)), 'green': ( (0.0, 0.0, 0.0), (0.02, .45, .45), (1., .97, .97)), 'blue' : ( (0.0, 1.0, 1.0), (0.02, .75, .75), (1., 0.45, 0.45))}cm = m.colors.LinearSegmentedColormap('my_colormap', cdict, 1024)x = np.arange(0, 10, .1)y = np.arange(0, 10, .1)X, Y = np.meshgrid(x,y)data = 2*( np.sin(X) + np.sin(3*Y) )def do_plot(n, f, title): #plt.clf() plt.subplot(1, 3, n) plt.pcolor(X, Y, f(data), cmap=cm, vmin=-4, vmax=4) plt.title(title) plt.colorbar()plt.figure()do_plot(1, lambda x:x, "all")do_plot(2, lambda x:np.clip(x, -4, 0), "<0")do_plot(3, lambda x:np.clip(x, 0, 4), ">0")plt.show()
