I have the following code which iterates through 2d numpy array named "m". It works extremely slow. How can I transform this code using numpy functions so that I avoid using the for loops?

I have the following code which iterates through 2d numpy array named "m". It works extremely slow. How can I transform this code using numpy functions so that I avoid using the for loops?

pairs = [] for i in range(size): for j in range(size): if(i >= j): continue if(m[i][j] + m[j][i] >= 0.75): pairs.append([i, j, m[i][j] + m[j][i]])

In the programming world, Data types play an important role. Each Variable is stored in different data types and responsible for various functions. Python had two different objects, and They are mutable and immutable objects.

Numpy is a python library used for computing scientific/mathematical data.

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