I\'m using python to simulate some automation models, and with the help of matplotlib I\'m producing plots like the one shown below.
There is an alternative method to Yann's answer that gives you finer control. Matplotlib's imshow can take a MxNx3
matrix where each entry is the RGB color value - just set them to white [1,1,1]
or black [0,0,0]
accordingly. If you want three colors it's easy to expand this method.
import matplotlib.pyplot as plt
import numpy as np
# Z is your data set
N = 100
Z = np.random.random((N,N))
# G is a NxNx3 matrix
G = np.zeros((N,N,3))
# Where we set the RGB for each pixel
G[Z>0.5] = [1,1,1]
G[Z<0.5] = [0,0,0]
plt.imshow(G,interpolation='nearest')
plt.show()
You can change the color map you are using via the cmap
keyword. The color map 'Greys'
provides the effect you want. You can find a list of available maps on the scipy website.
import matplotlib.pyplot as plt
import numpy as np
np.random.seed(101)
g = np.floor(np.random.random((100, 100)) + .5)
plt.subplot(211)
plt.imshow(g)
plt.subplot(212)
plt.imshow(g, cmap='Greys', interpolation='nearest')
plt.savefig('blkwht.png')
plt.show()
which results in: