in plotting the data some times there are a few very large (or very small) numbers which, if not taken care of, will affect the contour in a bad way. a solution is to take out the 10% highest and lowest data out of the contour color grading and considering them as less than and more than. the following figure shows the idea:
the two arrow shapes on the top and the bottom of the bar support this idea. any value above 14 will be shown in white and any value below -2 will be shown in black color. how is it possible in matplotlib? How can I define: - to put the 5% of highest values and 5% of lowest values in two categories shown in the triangular parts in both ends of the bar? (Should I define it the contour operation or are there other ways?) - what if I want to give certain values instead of the percentage? for instance, ask to put any value above 14 on the white triangule and any value below -2 as black areas?
Thank you so much for your help.
Taken from http://matplotlib.org/examples/api/colorbar_only.html. You can play with it and you will see if it could solve your problem.
import matplotlib.pyplot as plt
from matplotlib import mpl
import numpy as np
x = np.linspace(-1,1,100)
X,Y = np.meshgrid(x,x)
Z = np.exp(-X**2-Y**2)
vmin = 0.3 #Lower value
vmax = 0.9 #Upper value
bounds = np.linspace(vmin,vmax,4)
cmap = mpl.colors.ListedColormap([(0,0,0),(0.5,0.5,0.5),(0,1,0),(1,1,1)])
norm = mpl.colors.BoundaryNorm(bounds, cmap.N)
plt.imshow(Z,cmap=cmap,interpolation='nearest',vmin=vmin,vmax=vmax)
ax = plt.colorbar().ax
cb = mpl.colorbar.ColorbarBase(ax, norm=norm,
extend='both',
cmap=cmap)
cmap.set_over([0,0,1])
cmap.set_under([1,0,0])
plt.show()
来源：https://stackoverflow.com/questions/17494185/matplotlib-preventing-a-few-very-large-or-small-values-to-affect-my-contour