I have a list of lists of the form:
my_list=[[1,2, A ],[4,5, B ],[7,8, C ]]
并且,我想总结一下每个清单的第一个要素(1+4+7),以便获得总数。 我尝试了以下工作,因为名单的某些内容正在阐明:
new_list = list(zip(*my_list))
print (sum(new_list[0]))
在不使用假肢的情况下这样做的最佳方式是什么?
I have a list of lists of the form:
my_list=[[1,2, A ],[4,5, B ],[7,8, C ]]
并且,我想总结一下每个清单的第一个要素(1+4+7),以便获得总数。 我尝试了以下工作,因为名单的某些内容正在阐明:
new_list = list(zip(*my_list))
print (sum(new_list[0]))
在不使用假肢的情况下这样做的最佳方式是什么?
sum(a[0] for a in my_list)
够了。
假设每个分项都有三个要素,你可以这样做:
sum( a for (a,_,_) in my_list )
Otherwise, do this:
sum( a[0] for a in my_list )
从技术上讲,这些使用堆积在发电机的幌子上,但任何你通过的总和都会最终形成一种或另一种方式。
>>> my_list
[[1, 2, A ], [4, 5, B ], [7, 8, C ]]
>>> sum([a[0] for a in my_list])
12
>>>
Will create a list consisting of the first element of each element in my_list
, and sum them.
In [1]: import operator
In [2]: my_list=[[1,2, A ],[4,5, B ],[7,8, C ]]
In [3]: sum(map(operator.itemgetter(0),my_list))
Out[3]: 12
或者使用发电机表达方式:
In [4]: sum(row[0] for row in my_list)
Out[4]: 12
发电机的表述更快捷,更容易读:
In [5]: %timeit sum(map(operator.itemgetter(0),my_list))
1000000 loops, best of 3: 1.52 us per loop
In [6]: %timeit sum(row[0] for row in my_list)
1000000 loops, best of 3: 1.02 us per loop
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