Hi, I've got a nympy problem I can't get my head around. (numpy is new to me).
I've got a 2D array with values: values = np.array( [[ 20, 38, 4, 45, 65], [ 81, 44, 38, 57, 92], [ 92, 41, 16, 77, 44], [ 53, 62, 9, 75, 12], [ 58, 2, 60, 100, 29], [ 63, 15, 48, 43, 71], [ 80, 97, 87, 64, 60], [ 16, 16, 70, 88, 80], [ 19, 1, 73, 39, 97], [ 48, 3, 27, 81, 14]]) And an array of indexes that for shows which row to keep for each column of values: keep = np.array([2, 3, 1, 9, 2]) So, the result should be an array like array([ values[2,0], values[3,1], values[1,2], values[9,3], values[2,4] ]) == np.array([92, 62, 38, 81, 44]) Can this be accomplished in a vectorized manner? Thx, Peter
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