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迭代嵌套列表,元组和字典

[英]Iterate over nested lists, tuples and dictionaries

I've another question to the thematic of Iterate over nested lists and dictionaries . 对嵌套列表和字典迭代主题提出另一个问题。

I need some extended functionality to the topic of the link above. 我需要一些上述链接主题的扩展功能。 The iterable element now also contains tuples . iterable元素现在还包含元组 Also integers in tuples need to be converted to a hex string. 元组中的整数也需要转换为十六进制字符串。 Therefor I tried with following code, to convert the tuples to lists. 因此,我尝试使用以下代码,将元组转换为列表。

for path, value in objwalk(element):
    if isinstance(value, tuple):
        parent = element
        for step in path[:-1]:
            parent = parent[step]
        parent[path[-1]] = list(value)

But my problem is, that tuples in tuples are not converted. 但我的问题是,元组中的元组没有被转换。 How can I convert "sub-tuples" to lists in an elegant way? 如何以优雅的方式将“子元组”转换为列表?

Best regards wewa 最好的问候wewa

PS: I created a new topic, because the other-one is fixed for me. PS:我创建了一个新主题,因为另一个是为我修复的。

In this case, it would be easier to handle tuples directly in the objwalk structure traverser. 在这种情况下,直接在objwalk结构遍历器中处理元组会更容易。 Here is a modified version that converts tuples to lists before traversing over them to find nested elements: 这是一个修改过的版本,它在遍历它们以查找嵌套元素之前将元组转换为列表:

def objwalk(obj, path=(), memo=None):
    if memo is None:
        memo = set()
    iterator = None
    if isinstance(obj, dict):
        iterator = iteritems
    elif isinstance(obj, (list, set)) and not isinstance(obj, string_types):
        iterator = enumerate
    if iterator:
        if id(obj) not in memo:
            memo.add(id(obj))
            for path_component, value in iterator(obj):
                if isinstance(value, tuple):
                    obj[path_component] = value = list(value)
                for result in objwalk(value, path + (path_component,), memo):
                    yield result
            memo.remove(id(obj))
    else:
        yield path, obj

Using a slightly modified example from your previous question, and the same hex solution I gave you in that question: 使用上一个问题中稍微修改过的示例,以及我在这个问题中给出的相同的hex解决方案:

>>> element = {'Request': (16, 2), 'Params': ('Typetext', [16, 2], 2), 'Service': 'Servicetext', 'Responses': ({'State': 'Positive', 'PDU': [80, 2, 0]}, {})}
>>> for path, value in objwalk(element):
...     if isinstance(value, int):
...         parent = element
...         for step in path[:-1]:
...             parent = parent[step]
...         parent[path[-1]] = hex(value)
... 
>>> element
{'Params': ['Typetext', ['0x10', '0x2'], '0x2'], 'Request': ['0x10', '0x2'], 'Responses': [{'State': 'Positive', 'PDU': ['0x50', '0x2', '0x0']}, {}], 'Service': 'Servicetext'}

If the overhead of creating new objects is not an issue, I think it's pretty clear to go with: 如果创建新对象的开销不是问题,我认为很明显:

def transform(obj):
    _type = type(obj)
    if _type == tuple: _type = list
    rslt = _type()
    if isinstance(obj, dict):
        for k, v in obj.iteritems():
            rslt[k] = transform(v)
    elif isinstance(obj, (list, tuple)):
        for x in obj:
            rslt.append(transform(x))
    elif isinstance(obj, set):
        for x in obj:
            rslt.add(transform(x))
    elif isinstance(obj, (int, long)):
        rslt = hex(obj)
    else:
        rslt = obj

    return rslt

element = transform(element)

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