I have got pretty simple list:
example_list = [
{\'points\': 400, \'gold\': 2480},
{\'points\': 100, \'gold\': 610},
{\'points\': 100, \'gold\':
If you're memory conscious:
sum(item['gold'] for item in example_list)
If you're extremely time conscious:
sum([item['gold'] for item in example_list])
In most cases just use the generator expression, as the performance increase is only noticeable on a very large dataset/very hot code path.
See this answer for an explanation of why you should avoid using map.
See this answer for some real-world timing comparisons of list comprehension vs generator expressions.
If you prefer map
, this works too:
import operator
total_gold = sum(map(operator.itemgetter('gold'),example_list))
But I think the generator posted by g.d.d.c is significantly better. This answer is really just to point out the existence of operator.itemgetter
.
sum(item['gold'] for item in myList)