a = np.array([101,105,90,102,90,10,50])
b = np.array([99,110,85,110,85,90,60])
expected result = np.array([2,5,5,8,5,20,10])
How can I find minimum absolute difference value between elements using just numpy operations; with modulus of 100 if two values are across 100.
The answer by Derek Roberts with numpy.minimum is almost correct. However, since the input values can be greater than 100, they should first be rescaled to 0-100 with %100 (mod). I'm adding an extra pair of values to demonstrate this:
a = np.array([101,105,90,102,90,10,50,1001])
b = np.array([99,110,85,110,85,90,60,2])
x = abs(a%100-b%100)
np.minimum(x, 100-x)
Generic computation:
M = 100
x = abs(a%M-b%M)
np.minimum(x, M-x)
Output:
array([ 2, 5, 5, 8, 5, 20, 10, 1])