[英]Compare two collections.defaultdict and remove similar values
I have two collections.defaultdict
and trying to remove values from d1
that are also in d2
.我有两个collections.defaultdict
并试图从d1
中删除也在d2
。
from collections import Counter, defaultdict
d1 = Counter({'hi': 22, 'bye': 55, 'ok': 33})
d2 = Counter({'hi': 10, 'hello': 233, 'nvm': 96})
Ideal result:理想结果:
d3 = set()
d3 = ({'bye':55, 'ok':33})
So far I have tried:到目前为止,我已经尝试过:
d3 = set()
d3 = d1 - d2
print(d3)
Counter({'bye': 55, 'ok': 33, 'hi': 12})
But this keeps the same value of 'hi'
even though I want to remove all similar ones.但是即使我想删除所有类似的值,这也会保持'hi'
的相同值。
Since, d1
and d2
are Counter
objects they implement subtraction different than sets.由于d1
和d2
是Counter
对象,因此它们实现的减法不同于集合。
From
collections.Counter
(emphasis mine):来自collections.Counter
(强调我的):Addition and subtraction combine counters by adding or subtracting the counts of corresponding elements .加法和减法通过增加或减去相应元素的计数来组合计数器。
From
set.difference
orset - other
:从set.difference
或set - other
:Return a new set with elements in the set that are not in the others.返回一个新集合,该集合中的元素不在其他集合中。
That said, you can use Counter.keys
and use difference
just like sets.也就是说,您可以使用Counter.keys
并像集合一样使用difference
。
keys = d1.keys() - d2.keys()
# keys = {'bye', 'ok'}
out = {k: d1[k] for k in keys}
# out = {'bye': 55, 'ok': 33}
Use a dictionary comprehension使用字典理解
d3 = {k: v for k, v in d1.items() if k not in d2}
print(d3)
Result:结果:
{'bye': 55, 'ok': 33}
trying to remove values from
d1
that are also ind2
试图从d1
中删除也在d2
for k in d2:
d1.pop(k, None)
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