I have a NumPy array \'boolarr\' of boolean type. I want to count the number of elements whose values are True. Is there a NumPy or Python routine dedicated for
In terms of comparing two numpy arrays and counting the number of matches (e.g. correct class prediction in machine learning), I found the below example for two dimensions useful:
import numpy as np
result = np.random.randint(3,size=(5,2)) # 5x2 random integer array
target = np.random.randint(3,size=(5,2)) # 5x2 random integer array
res = np.equal(result,target)
print result
print target
print np.sum(res[:,0])
print np.sum(res[:,1])
which can be extended to D dimensions.
The results are:
Prediction:
[[1 2]
[2 0]
[2 0]
[1 2]
[1 2]]
Target:
[[0 1]
[1 0]
[2 0]
[0 0]
[2 1]]
Count of correct prediction for D=1: 1
Count of correct prediction for D=2: 2