让我们来:
l = [[1, 2, 3], [4, 5, 6], [7, 8, 9]]
我想要的结果是
r = [[1, 4, 7], [2, 5, 8], [3, 6, 9]]
而不是
r = [(1, 4, 7), (2, 5, 8), (3, 6, 9)]
让我们来:
l = [[1, 2, 3], [4, 5, 6], [7, 8, 9]]
我想要的结果是
r = [[1, 4, 7], [2, 5, 8], [3, 6, 9]]
而不是
r = [(1, 4, 7), (2, 5, 8), (3, 6, 9)]
当前回答
只是为了好玩:如果你想把它们都做成字典的话。
In [1]: l = [[1, 2, 3], [4, 5, 6], [7, 8, 9]]
...: fruits = ["Apple", "Pear", "Peach",]
...: [dict(zip(fruits, j)) for j in [list(i) for i in zip(*l)]]
Out[1]:
[{'Apple': 1, 'Pear': 4, 'Peach': 7},
{'Apple': 2, 'Pear': 5, 'Peach': 8},
{'Apple': 3, 'Pear': 6, 'Peach': 9}]
其他回答
下面是一个不一定是平方的列表的转置的解决方案:
maxCol = len(l[0])
for row in l:
rowLength = len(row)
if rowLength > maxCol:
maxCol = rowLength
lTrans = []
for colIndex in range(maxCol):
lTrans.append([])
for row in l:
if colIndex < len(row):
lTrans[colIndex].append(row[colIndex])
只是为了好玩,有效的矩形假设m[0]存在
>>> m = [[1,2,3],[4,5,6],[7,8,9]]
>>> [[row[i] for row in m] for i in range(len(m[0]))]
[[1, 4, 7], [2, 5, 8], [3, 6, 9]]
matrix = [[1,2,3],
[1,2,3],
[1,2,3],
[1,2,3],
[1,2,3],
[1,2,3],
[1,2,3]]
rows = len(matrix)
cols = len(matrix[0])
transposed = []
while len(transposed) < cols:
transposed.append([])
while len(transposed[-1]) < rows:
transposed[-1].append(0)
for i in range(rows):
for j in range(cols):
transposed[j][i] = matrix[i][j]
for i in transposed:
print(i)
也许不是最优雅的解决方案,但这里有一个使用嵌套while循环的解决方案:
def transpose(lst):
newlist = []
i = 0
while i < len(lst):
j = 0
colvec = []
while j < len(lst):
colvec.append(lst[j][i])
j = j + 1
newlist.append(colvec)
i = i + 1
return newlist
等价于耶拿的解决方案:
>>> l=[[1,2,3],[4,5,6],[7,8,9]]
>>> [list(i) for i in zip(*l)]
... [[1, 4, 7], [2, 5, 8], [3, 6, 9]]