Transposed Matrix

In linear algebra, the transpose of a matrix A is another matrix A^T (also written A′, A^tr,^tA or A^t) created by any one of the following equivalent actions:

• reflect A over its main diagonal (which runs from top-left to bottom-right) to obtain A^T
• write the rows of A as the columns of A^T
• write the columns of A as the rows of A^T

Formally, the i^th row, j^th column element of A^T is the j^th row, i^th column element of A:

[A^T]_{i j} = [A]_{j i}

If A is an m × n matrix then A^T is an n × m matrix.

You have been given a matrix as a 2D list with integers. Your task is to return a transposed matrix based on input.

Input: A matrix as a list of lists with integers.

Output: The transposed matrix as a list of lists with integers.

题目大义: 矩阵转置

1 def checkio(data):
2     rel = []
3     tmp = zip(*data)
4 
5     for each in tmp:
6         rel.append(list(each))
7 
8     #replace this for solution
9     return rel

使用map函数一行解决

1 def checkio(data):
2     return map(list, zip(*data))

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Transposed Matrix

原文：http://www.cnblogs.com/hzhesi/p/3897629.html