Nested list comprehension

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matrix = [
... [1, 2, 3, 4],
... [5, 6, 7, 8],
... [9, 10, 11, 12],
... ]
The following list comprehension will transpose rows and columns:
[[row[i] for row in matrix] for i in range(4)]
#output
[[1, 5, 9], [2, 6, 10], [3, 7, 11], [4, 8, 12]]
Now how does this work?
Here, for i in range(4) is the outer loop and gets executed firstfor row in matrix is the inner loop.
I was trying to solve it with for row in matrix as the first loop and I was getting wrong answers.
Let's break down the code step by step to understand how each element in the new list is generated:
The code
[[row[i] for row in matrix] for i in range(4)]uses a nested list comprehension to generate the new list.Let's consider the outer loop
for i in range(4):For
i = 0, the inner loop[row[i] for row in matrix]will iterate over each row in the matrix and extract the element at index 0 for each row.In the first iteration of the inner loop,
rowwill be[1, 2, 3, 4]. So,row[i]will berow[0]which is 1.In the second iteration,
rowwill be[5, 6, 7, 8], androw[i]will berow[0]which is 5.In the third iteration,
rowwill be[9, 10, 11, 12], androw[i]will berow[0]which is 9.
Therefore, the first element of the new list will be 1, the second element will be 5, and the third element will be 9.
- Combining the results of the outer loop, we get
[1, 5, 9]. This represents the first column of the original matrix.
i gets incremented to 1, and the same process repeats again.
To summarize, in the given code, the first element [1, 5, 9] in the new list is generated by extracting the first element from each row of the original matrix. This is achieved using the inner loop [row[i] for row in matrix], where row[i] accesses the element at index i for each row.



