A = numpy.array([[0.1, 0.2, 0.3], [0.4, 0.5, 0.6], [0.7,0.8,0.9]]) # Shape: (3,3) B = numpy.array([2,1,0,1,2,0,2,0,1]) # SHape (9,) C = A[B, :] The array C has shape (9,3) and contains: [[0.7 0.8 0.9] [0.4 0.5 0.6] [0.1 0.2 0.3] [0.4 0.5 0.6] [0.7 0.8 0.9] [0.1 0.2 0.3] [0.7 0.8 0.9] [0.1 0.2 0.3] [0.4 0.5 0.6]] What is this numpy syntax C = A[B, :] called and what does it do? It seems to automagically use B as index into A, take the value and add it into C Continue reading...
