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如何使用冗余键将列表列表转换为字典?

[英]How to convert a list of lists to a dictionary with redundant keys?

我有一个列表列表,称为my_list

['sit', (1, 1)]
['laboris', (2, 1)]
['nisi', (2, 1)]
['est', (4, 1)]
['qui', (4, 1)]
['cillum', (3, 1)]
['voluptate', (3, 1)]
['eu', (3, 1)]
['irure', (3, 1)]
['sunt', (4, 1)]
['reprehenderit', (3, 1)]
['nulla', (3, 1)]
['sint', (4, 1)]
['fugiat', (3, 1)]
['dolore', (2, 1)]
['dolore', (3, 1)]
['enim', (2, 1)]
['occaecat', (4, 1)]
['tempor', (2, 1)]
['commodo', (2, 1)]
['non', (4, 1)]
['minim', (2, 1)]
['aute', (3, 1)]
['ut', (2, 2)]
['ex', (2, 1)]
['deserunt', (4, 1)]
['ea', (2, 1)]
['eiusmod', (2, 1)]
['culpa', (4, 1)]
['labore', (2, 1)]
['mollit', (4, 1)]
['officia', (4, 1)]
['cupidatat', (4, 1)]
['adipiscing', (2, 1)]
['amet', (1, 1)]
['et', (2, 1)]
['ad', (2, 1)]
['consectetur', (2, 1)]
['anim', (4, 1)]
['magna', (2, 1)]
['quis', (2, 1)]
['ullamco', (2, 1)]
['dolor', (1, 1)]
['dolor', (3, 1)]
['aliquip', (2, 1)]
['velit', (3, 1)]
['ipsum', (1, 1)]
['incididunt', (2, 1)]
['sed', (2, 1)]
['id', (4, 1)]
['esse', (3, 1)]
['exercitation', (2, 1)]
['nostrud', (2, 1)]

我努力了:

d = {}

for item in all_lists:
    d[item[0]] = item[1:]

print (d)

但这会覆盖一个密钥,而不是更新该值。 例如, dolor变为: {'dolor': [(3,1)]而不是预期的目标: {'dolor': (3,1), (1,1), etc...}

理想情况下,字典形状将不包括元组列表作为值,但是如果需要的话。

如何将列表列表转换为我想要的格式的字典?

我已经观察到Python:字典的列表列表,但是这使我产生了现在不正确的信息。

使用defaultdict功能:

https://docs.python.org/2/library/collections.html#collections.defaultdict

未经测试的代码!

d = defaultdict(list)

for item in all_lists:
    d[item[0]].append(item[1:])

print (d)

您可以使用itertools.groupby来对键进行排序(看起来像这样):

import itertools as it
result = {k: [x[1] for x in v] for k, v in it.groupby(test, key=lambda x: x[0])}

一种方法是,如果d缺少此键且值为空列表[] ,则添加新的键值对。 然后将新值附加到该列表。

Python具有setdefault来做到这一点。

all_lists = [
    ['sit', (1, 1)],
    ['sit', (2, 2)],
    ['laboris', (2, 1)]
]

d = {}
for key, new_value in all_lists:
    values = d.setdefault(key, [])
    values.append(new_value)

print(d)


{
 'sit': [(1, 1), (2, 2)], 
 'laboris': [(2, 1)]
}

这很烦人,但是您可以通过快速调用构造函数将list更改为tuple

a = [
    ['sit', (1, 1)],
    ['laboris', (2, 1)],
    ['nisi', (2, 1)],
    ['est', (4, 1)],
    ['qui', (4, 1)],
    ['cillum', (3, 1)],
    ['voluptate', (3, 1)],
    ['eu', (3, 1)],
    ['irure', (3, 1)],
    ['sunt', (4, 1)],
    ['reprehenderit', (3, 1)],
    ['nulla', (3, 1)],
    ['sint', (4, 1)],
    ['fugiat', (3, 1)],
    ['dolore', (2, 1)],
    ['dolore', (3, 1)],
    ['enim', (2, 1)],
    ['occaecat', (4, 1)],
    ['tempor', (2, 1)],
    ['commodo', (2, 1)],
    ['non', (4, 1)],
    ['minim', (2, 1)],
    ['aute', (3, 1)],
    ['ut', (2, 2)],
    ['ex', (2, 1)],
    ['deserunt', (4, 1)],
    ['ea', (2, 1)],
    ['eiusmod', (2, 1)],
    ['culpa', (4, 1)],
    ['labore', (2, 1)],
    ['mollit', (4, 1)],
    ['officia', (4, 1)],
    ['cupidatat', (4, 1)],
    ['adipiscing', (2, 1)],
    ['amet', (1, 1)],
    ['et', (2, 1)],
    ['ad', (2, 1)],
    ['consectetur', (2, 1)],
    ['anim', (4, 1)],
    ['magna', (2, 1)],
    ['quis', (2, 1)],
    ['ullamco', (2, 1)],
    ['dolor', (1, 1)],
    ['dolor', (3, 1)],
    ['aliquip', (2, 1)],
    ['velit', (3, 1)],
    ['ipsum', (1, 1)],
    ['incididunt', (2, 1)],
    ['sed', (2, 1)],
    ['id', (4, 1)],
    ['esse', (3, 1)],
    ['exercitation', (2, 1)],
    ['nostrud', (2, 1)]
]

final = {}
for l in a:
    final[l[0]]=tuple(l[1:])[0]

print(final)

版画

{'sit': (1, 1), 'laboris': (2, 1), 'nisi': (2, 1), 'est': (4, 1), 'qui': (4, 1), 'cillum': (3, 1), 'voluptate': (3, 1), 'eu': (3, 1), 'irure': (3, 1), 'sunt': (4, 1), 'reprehenderit': (3, 1), 'nulla': (3, 1), 'sint': (4, 1), 'fugiat': (3, 1), 'dolore': (3, 1), 'enim': (2, 1), 'occaecat': (4, 1), 'tempor': (2, 1), 'commodo': (2, 1), 'non': (4, 1), 'minim': (2, 1), 'aute': (3, 1), 'ut': (2, 2), 'ex': (2, 1), 'deserunt': (4, 1), 'ea': (2, 1), 'eiusmod': (2, 1), 'culpa': (4, 1), 'labore': (2, 1), 'mollit': (4, 1), 'officia': (4, 1), 'cupidatat': (4, 1), 'adipiscing': (2, 1), 'amet': (1, 1), 'et': (2, 1), 'ad': (2, 1), 'consectetur': (2, 1), 'anim': (4, 1), 'magna': (2, 1), 'quis': (2, 1), 'ullamco': (2, 1), 'dolor': (3, 1), 'aliquip': (2, 1), 'velit': (3, 1), 'ipsum': (1, 1), 'incididunt': (2, 1), 'sed': (2, 1), 'id': (4, 1), 'esse': (3, 1), 'exercitation': (2, 1), 'nostrud': (2, 1)}

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