Can someone explain what is meant by Both loc and iloc [in Pandas] are row-first, column-second. This is the opposite of what we do in native Python, which is column-first, row-second. Because I thought when accessing arrays or lists of lists, the first index always represents the row: matrix = [ [1,2,3], # row 1, index 0 [4,5,6], # row 2, index 1 [7,8,9] # row 3, index 2 ] print(matrix[1][2]) # Output = 6 Continue reading...
