Confusion Matrix with number of classified/misclassified instances on it (Python/Matplotlib)

Question

I am plotting a confusion matrix with matplotlib with the following code:

from numpy import *
import matplotlib.pyplot as plt
from pylab import *

conf_arr =         


        

Answer 1

The only way I could really see of doing it was to use annotations. Try these lines:

for i,j in ((x,y) for x in xrange(len(conf_arr))
            for y in xrange(len(conf_arr[0]))):
    ax.annotate(str(conf_arr[i][j]),xy=(i,j))

before saving the figure. It adds the numbers, but I'll let you figure out how to get the sizes of the numbers how you want them.