将混合的嵌套字典转换为列表 [英] Convert a mixed nested dictionary into a list

问题描述

我有一个这样的列表:

d1=  {'Hiraki': {'Hiraki_2': ['KANG_751']}, 'LakeTaupo': {'LakeTaupo_4': ['KANG_708', 'KANG_785'], 'LakeTaupo_6': ['KANG_785'], 'LakeTaupo_2': ['KANG_751', 'KANG_785', 'KANG_785', 'KANG_785'], 'LakeTaupo_3': ['KANG_669', 'KANG_669', 'KANG_708', 'KANG_708', 'KANG_669']}}

我想将此嵌套列表转换为嵌套列表，例如:

I would like to convert this nested list into a nested list, like:

d2= ['Hiraki': ['Hiraki_2': ['KANG_751']], 'LakeTaupo': ['LakeTaupo_4': ['KANG_708', 'KANG_785'], 'LakeTaupo_6': ['KANG_785'], 'LakeTaupo_2': ['KANG_751', 'KANG_785', 'KANG_785', 'KANG_785'], 'LakeTaupo_3': ['KANG_669', 'KANG_669', 'KANG_708', 'KANG_708', 'KANG_669']]]

我下面的python代码无法将字典完全转换为列表:

My below python code does not convert the dictionary fully into a list:

list_key_value = [ [k,v] for k, v in d1.items() ]

请帮助我解决此问题.

推荐答案

请注意，您的d1是字典，而不是列表，并且作为所需输出提供的嵌套列表"实际上不是有效的语法.字典和列表不是同一回事.

Note that your d1 is a dict, not a list, and that the "nested list" you give as your desired output is not actually valid syntax. A dictionary and a list are not the same thing.

也就是说，这是您要尝试进行的转换，以处理任意深度的嵌套字典的方式:

That said, here's how to do the conversion you're attempting in such a way as to handle arbitrarily deep nested dictionaries:

>>> def dict_to_list(d: dict) -> list:
...     if isinstance(d, list):
...         return d
...     if isinstance(d, dict):
...         return [[k, dict_to_list(v)] for k, v in d.items()]
...     return [d]
...
>>> d1=  {'Hiraki': {'Hiraki_2': ['KANG_751']}, 'LakeTaupo': {'LakeTaupo_4': ['KANG_708', 'KANG_785'], 'LakeTaupo_6': ['KANG_785'], 'LakeTaupo_2': ['KANG_751', 'KANG_785', 'KANG_785', 'KANG_785'], 'LakeTaupo_3': ['KANG_669', 'KANG_669', 'KANG_708', 'KANG_708', 'KANG_669']}}
>>> dict_to_list(d1)
[['Hiraki', [['Hiraki_2', ['KANG_751']]]], ['LakeTaupo', [['LakeTaupo_4', ['KANG_708', 'KANG_785']], ['LakeTaupo_6', ['KANG_785']], ['LakeTaupo_2', ['KANG_751', 'KANG_785', 'KANG_785', 'KANG_785']], ['LakeTaupo_3', ['KANG_669', 'KANG_669', 'KANG_708', 'KANG_708', 'KANG_669']]]]]

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