我发现它更方便访问字典键作为obj。foo而不是obj['foo'],所以我写了这个片段:

class AttributeDict(dict):
    def __getattr__(self, attr):
        return self[attr]
    def __setattr__(self, attr, value):
        self[attr] = value

然而,我认为一定有一些原因,Python没有提供开箱即用的功能。以这种方式访问字典键的注意事项和缺陷是什么?


当前回答

你可以从标准库中获取一个方便的容器类:

from argparse import Namespace

避免复制代码位。没有标准的字典访问,但如果你真的想要的话,很容易得到一个。argparse中的代码很简单,

class Namespace(_AttributeHolder):
    """Simple object for storing attributes.

    Implements equality by attribute names and values, and provides a simple
    string representation.
    """

    def __init__(self, **kwargs):
        for name in kwargs:
            setattr(self, name, kwargs[name])

    __hash__ = None

    def __eq__(self, other):
        return vars(self) == vars(other)

    def __ne__(self, other):
        return not (self == other)

    def __contains__(self, key):
        return key in self.__dict__

其他回答

由于以下原因,我对现有的选项不满意,于是我开发了MetaDict。它的行为完全类似于dict,但支持点表示法和IDE自动补全,而没有其他解决方案的缺点和潜在的名称空间冲突。所有功能和使用示例都可以在GitHub上找到(见上面的链接)。

完全披露:我是MetaDict的作者。

我在尝试其他解决方案时遇到的缺点/限制:

Addict No key autocompletion in IDE Nested key assignment cannot be turned off Newly assigned dict objects are not converted to support attribute-style key access Shadows inbuilt type Dict Prodict No key autocompletion in IDE without defining a static schema (similar to dataclass) No recursive conversion of dict objects when embedded in list or other inbuilt iterables AttrDict No key autocompletion in IDE Converts list objects to tuple behind the scenes Munch Inbuilt methods like items(), update(), etc. can be overwritten with obj.items = [1, 2, 3] No recursive conversion of dict objects when embedded in list or other inbuilt iterables EasyDict Only strings are valid keys, but dict accepts all hashable objects as keys Inbuilt methods like items(), update(), etc. can be overwritten with obj.items = [1, 2, 3] Inbuilt methods don't behave as expected: obj.pop('unknown_key', None) raises an AttributeError

如果使用数组表示法,则可以将所有合法字符串字符作为键的一部分。 例如,obj['!#$%^&*()_']

您可以使用dict_to_obj https://pypi.org/project/dict-to-obj/ 它完全符合你的要求

From dict_to_obj import DictToObj
a = {
'foo': True
}
b = DictToObj(a)
b.foo
True

买者自负:出于某些原因,这样的类似乎会破坏多处理包。我只是在发现这个bug之前挣扎了一段时间,所以: 在python multiprocessing中查找异常

product怎么样,我写了一个小小的Python类来统治它们:)

此外,您还可以获得自动代码完成、递归对象实例化和自动类型转换!

你完全可以做到你所要求的:

p = Prodict()
p.foo = 1
p.bar = "baz"

例1:类型提示

class Country(Prodict):
    name: str
    population: int

turkey = Country()
turkey.name = 'Turkey'
turkey.population = 79814871

例2:自动类型转换

germany = Country(name='Germany', population='82175700', flag_colors=['black', 'red', 'yellow'])

print(germany.population)  # 82175700
print(type(germany.population))  # <class 'int'>

print(germany.flag_colors)  # ['black', 'red', 'yellow']
print(type(germany.flag_colors))  # <class 'list'>