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Python for Loop Help: Why?

I know exactly what I’m doing, I’ve printed it to the console so many times, yet I get the same results!!! https://code.sololearn.com/cN52Q2psjs0J/?ref=app I have a tuple of 3 lists, each list has 3 elements. I have a nested for loop: one iterates through the number of elements in the tuple the one inside iterates through each element in the list—or that’s what it *should* do I’ve done massive amounts of debugging and it seems that the outside for loop just repeats 3 times while the inside loop just executes once! It’s driving me crazy, please help. EDIT: output: [1, 2, 0], [2, 0, 1], [0, 1, 2] (I’ve put it in a comment under the original matrix)

17th Dec 2018, 4:07 AM
Christian Johnson
Christian Johnson - avatar
9 Respostas
+ 4
You've three nested loops, and innermost one has a break. Iterating over a matrix should only require two. Because of the break statement, the col variable is always 1 (after you do col+=1). arow becomes 2, 1, 0, in that order. So you're accessing the second column (2,0,3) in REVERSE order each time. The outermost loop with the columns variable is just doing it three times without any change. What exactly do you want to do? Your sample matrix has too many repeats. Could you show it with this guy? 1 2 3 4 5 6 7 8 9 Also, this is not the transpose, which should look like 1 4 7 2 5 8 3 6 9 There we just interchange the rows with columns.
17th Dec 2018, 4:41 AM
Kishalaya Saha
Kishalaya Saha - avatar
+ 3
Well, then please let me know once you're done editing. I am still unsure about your expected output.
17th Dec 2018, 4:47 AM
Kishalaya Saha
Kishalaya Saha - avatar
+ 2
It's difficult to respond properly if you keep changing your code.
17th Dec 2018, 4:43 AM
Kishalaya Saha
Kishalaya Saha - avatar
+ 1
What is the output supposed to be?
17th Dec 2018, 4:14 AM
Diego
Diego - avatar
+ 1
This can probably be done a lot better, but I would try something like this: tr = [] for i in range(len(matrix[0])): tr.append([matrix[j][i] for j in range(len(matrix))]) Or simply [[matrix[j][i] for j in range(len(matrix))] for i in range(len(matrix[0]))] Or just use numpy's transpose function.
17th Dec 2018, 6:28 AM
Anna
Anna - avatar
+ 1
7:01 am, 17 December, 2018 (GMT) Currently your adjusted_row takes values 2, 1, 0, and for each value of adjusted_row, col takes values 0, 1, 2. So you're just appending elements in trow in this order (row, col): (2,0), (2,1), (2,2), (1,0), (1,1), (1,2), (0,0), (0,1), (0,2) You're also not adding new rows, so it's all one long list. Anna's solution is perfect. The basic idea is that the (i,j)-th entry of the transpose is the (j,i)-th entry of the original.
17th Dec 2018, 7:03 AM
Kishalaya Saha
Kishalaya Saha - avatar
0
I’ve actually just worked it out, the output is right under the “matrix” variable at the top of the file, but I’ll paste it in here for convenience(I’ve also put it in the original question, thanks for the question): [1, 2, 0], [2, 0, 1], [0, 1, 2]
17th Dec 2018, 4:15 AM
Christian Johnson
Christian Johnson - avatar
0
yea, sorry, I’m trying to figure it out too, i think its the break
17th Dec 2018, 4:44 AM
Christian Johnson
Christian Johnson - avatar
0
I’m done for the night
17th Dec 2018, 5:46 AM
Christian Johnson
Christian Johnson - avatar