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Alex Rivera
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I have a NumPy matrix which I've simplified to exemplify: a b c d e f A = [[0, 1, 2, 3, 4, 5], b [1, 0, 3, 4, 5, 6], c [2, 3, 0, 5, 6, 7], d [3, 4, 5, 0, 7, 8], e [4, 5, 6, 7, 0, 9], f [5, 6, 7, 8, 9, 0]] where the number at the "intersections" is important, but their order is not right. I want to re-arrange the rows and columns such that the new order is [a, d, b, e, c, f] but this value that I'm calling "the intersection" is the same. Below I have started to transform the matrix how I want. Filling the 'e' row involves looking at the intersections above for (e,a) (= 4), then (e,d) (=7) , then (e,b) (=5), (e,e), (e,c), and (e,f) a d b e c f A1= [[0, 3, 1, 4, 2, 5], d [3, 0, 4, 7, 5, 8], b [1, 4, 0, 5, 3, 6], e [4, 7, 5, Can anyone please suggest how to re-arrange my matrix in this manner?
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