Python 相当于字典的 zip

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时间:2020-08-18 22:41:24  来源:igfitidea点击:

Python equivalent of zip for dictionaries

pythondictionaryiterator

提问by Eric

If I have these two lists:

如果我有这两个列表:

la = [1, 2, 3]
lb = [4, 5, 6]

I can iterate over them as follows:

我可以按如下方式迭代它们:

for i in range(min(len(la), len(lb))):
    print la[i], lb[i]

Or more pythonically

或者更pythonically

for a, b in zip(la, lb):
    print a, b


What if I have two dictionaries?

如果我有两个字典怎么办?

da = {'a': 1, 'b': 2, 'c': 3}
db = {'a': 4, 'b': 5, 'c': 6}

Again, I can iterate manually:

同样,我可以手动迭代:

for key in set(da.keys()) & set(db.keys()):
    print key, da[key], db[key]

Is there some builtin method that allows me to iterate as follows?

是否有一些内置方法可以让我按如下方式进行迭代?

for key, value_a, value_b in common_entries(da, db):
    print key, value_a, value_b 

采纳答案by Volatility

There is no built-in function or method that can do this. However, you could easily define your own.

没有内置函数或方法可以做到这一点。但是,您可以轻松定义自己的。

def common_entries(*dcts):
    for i in set(dcts[0]).intersection(*dcts[1:]):
        yield (i,) + tuple(d[i] for d in dcts)

This builds on the "manual method" you provide, but, like zip, can be used for any number of dictionaries.

这建立在您提供的“手动方法”之上,但与 一样zip,可用于任意数量的字典。

>>> da = {'a': 1, 'b': 2, 'c': 3}
>>> db = {'a': 4, 'b': 5, 'c': 6}
>>> list(common_entries(da, db))
[('c', 3, 6), ('b', 2, 5), ('a', 1, 4)]

When only one dictionary is provided as an argument, it essentially returns dct.items().

当仅提供一个字典作为参数时,它本质上返回dct.items().

>>> list(common_entries(da))
[('c', 3), ('b', 2), ('a', 1)]

回答by Koreth

You may want to make an intersection, using the Python Set type.

您可能想要使用 Python Set 类型进行交集。

da = {'a': 1, 'b': 2, 'c': 3, 'e': 7}
db = {'a': 4, 'b': 5, 'c': 6, 'd': 9}

dc = set(da) & set(db)

for i in dc:
  print i,da[i],db[i]

Cheers,

干杯,

K.

K。

回答by Azat Ibrakov

In case if someone is looking for generalized solution:

如果有人正在寻找通用解决方案:

import operator
from functools import reduce


def zip_mappings(*mappings):
    keys_sets = map(set, mappings)
    common_keys = reduce(set.intersection, keys_sets)
    for key in common_keys:
        yield (key,) + tuple(map(operator.itemgetter(key), mappings))

or if you like to separate key from values and use syntax like

或者如果您想将键与值分开并使用类似的语法

for key, (values, ...) in zip_mappings(...):
    ...

we can replace last line with

我们可以用

yield key, tuple(map(operator.itemgetter(key), mappings))


Tests

测试

from collections import Counter


counter = Counter('abra')
other_counter = Counter('kadabra')
last_counter = Counter('abbreviation')
for (character,
     frequency, other_frequency, last_frequency) in zip_mappings(counter,
                                                                 other_counter,
                                                                 last_counter):
    print('character "{}" has next frequencies: {}, {}, {}'
          .format(character,
                  frequency,
                  other_frequency,
                  last_frequency))

gives us

给我们

character "a" has next frequencies: 2, 3, 2
character "r" has next frequencies: 1, 1, 1
character "b" has next frequencies: 1, 1, 2

(tested on Python 2.7.12& Python 3.5.2)

(在Python 2.7.12& 上测试Python 3.5.2

回答by pylang

Dictionary key viewsare already set-like in Python 3. You can remove set():

字典键视图已经在 Python 3 中类似设置。您可以删除set()

for key in da.keys() & db.keys():
    print(key, da[key], db[key])

In Python 2:

在 Python 2 中:

for key in da.viewkeys() & db.viewkeys():
    print key, da[key], db[key]

回答by grwlf

Python3: How about the following?

Python3:下面的怎么样?

da = {'A': 1, 'b': 2, 'c': 3}
db = {'B': 4, 'b': 5, 'c': 6}
for key, (value_a, value_b) in  {k:(da[k],db[k]) for k in set(da)&set(db)}.items():
  print(key, value_a, value_b) 

The above snippet prints values of common keys ('b' and 'c') and discards the keys which don't match ('A' and 'B').

上面的代码片段打印了公共键的值('b' 和 'c')并丢弃不匹配的键('A' 和 'B')。

In order to include all keys into the output we could use a slightly modified comprehension: {k:(da.get(k),db.get(k)) for k in set(da)|set(db)}.

为了将所有键都包含在输出中,我们可以使用稍微修改的理解:{k:(da.get(k),db.get(k)) for k in set(da)|set(db)}.