我有一个(标签,计数)元组列表,如下所示:
[('grape', 100), ('grape', 3), ('apple', 15), ('apple', 10), ('apple', 4), ('banana', 3)]
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从那里我想要使用相同的标签(相同的标签始终相邻)对所有值求和,并以相同的标签顺序返回一个列表:
[('grape', 103), ('apple', 29), ('banana', 3)]
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我知道我可以通过以下方式解决它:
def group(l):
result = []
if l:
this_label = l[0][0]
this_count = 0
for label, count in l:
if label != this_label:
result.append((this_label, this_count))
this_label = label
this_count = 0
this_count += count
result.append((this_label, this_count))
return result
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但是,有更多Pythonic /优雅/有效的方法吗?
Tho*_*ers 32
itertools.groupby 可以做你想做的事:
import itertools
import operator
L = [('grape', 100), ('grape', 3), ('apple', 15), ('apple', 10),
('apple', 4), ('banana', 3)]
def accumulate(l):
it = itertools.groupby(l, operator.itemgetter(0))
for key, subiter in it:
yield key, sum(item[1] for item in subiter)
>>> print list(accumulate(L))
[('grape', 103), ('apple', 29), ('banana', 3)]
>>>
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使用itertools和列表推导
import itertools
[(key, sum(num for _, num in value))
for key, value in itertools.groupby(l, lambda x: x[0])]
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编辑:正如gnibbler所指出的:如果l尚未排序,请将其替换为sorted(l).
import collections
d=collections.defaultdict(int)
a=[]
alist=[('grape', 100), ('banana', 3), ('apple', 10), ('apple', 4), ('grape', 3), ('apple', 15)]
for fruit,number in alist:
if not fruit in a: a.append(fruit)
d[fruit]+=number
for f in a:
print (f,d[f])
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产量
$ ./python.py
('grape', 103)
('banana', 3)
('apple', 29)
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>>> from itertools import groupby
>>> from operator import itemgetter
>>> L=[('grape', 100), ('grape', 3), ('apple', 15), ('apple', 10), ('apple', 4), ('banana', 3)]
>>> [(x,sum(map(itemgetter(1),y))) for x,y in groupby(L, itemgetter(0))]
[('grape', 103), ('apple', 29), ('banana', 3)]
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