对于更复杂的类，您可以考虑使用jsonpickle工具:

jsonpickle is a Python library for serialization and deserialization of complex Python objects to and from JSON. The standard Python libraries for encoding Python into JSON, such as the stdlib’s json, simplejson, and demjson, can only handle Python primitives that have a direct JSON equivalent (e.g. dicts, lists, strings, ints, etc.). jsonpickle builds on top of these libraries and allows more complex data structures to be serialized to JSON. jsonpickle is highly configurable and extendable–allowing the user to choose the JSON backend and add additional backends.

(链接到PyPi上的jsonpickle)

这个类可以做到这一点，它将object转换为标准json。

import json


class Serializer(object):
    @staticmethod
    def serialize(object):
        return json.dumps(object, default=lambda o: o.__dict__.values()[0])

用法:

Serializer.serialize(my_object)

在python2.7和python3中工作。

基于Quinten Cabo的回答:

def sterilize(obj):
    """Make an object more ameniable to dumping as json
    """
    if type(obj) in (str, float, int, bool, type(None)):
        return obj
    elif isinstance(obj, dict):
        return {k: sterilize(v) for k, v in obj.items()}
    list_ret = []
    dict_ret = {}
    for a in dir(obj):
        if a == '__iter__' and callable(obj.__iter__):
            list_ret.extend([sterilize(v) for v in obj])
        elif a == '__dict__':
            dict_ret.update({k: sterilize(v) for k, v in obj.__dict__.items() if k not in ['__module__', '__dict__', '__weakref__', '__doc__']})
        elif a not in ['__doc__', '__module__']:
            aval = getattr(obj, a)
            if type(aval) in (str, float, int, bool, type(None)):
                dict_ret[a] = aval
            elif a != '__class__' and a != '__objclass__' and isinstance(aval, type):
                dict_ret[a] = sterilize(aval)
    if len(list_ret) == 0:
        if len(dict_ret) == 0:
            return repr(obj)
        return dict_ret
    else:
        if len(dict_ret) == 0:
            return list_ret
    return (list_ret, dict_ret)

区别在于

Works for any iterable instead of just list and tuple (it works for NumPy arrays, etc.) Works for dynamic types (ones that contain a __dict__). Includes native types float and None so they don't get converted to string. Classes that have __dict__ and members will mostly work (if the __dict__ and member names collide, you will only get one - likely the member) Classes that are lists and have members will look like a tuple of the list and a dictionary Python3 (that isinstance() call may be the only thing that needs changing)

对于更复杂的类，您可以考虑使用jsonpickle工具:

jsonpickle is a Python library for serialization and deserialization of complex Python objects to and from JSON. The standard Python libraries for encoding Python into JSON, such as the stdlib’s json, simplejson, and demjson, can only handle Python primitives that have a direct JSON equivalent (e.g. dicts, lists, strings, ints, etc.). jsonpickle builds on top of these libraries and allows more complex data structures to be serialized to JSON. jsonpickle is highly configurable and extendable–allowing the user to choose the JSON backend and add additional backends.

(链接到PyPi上的jsonpickle)

任何人都想在没有外部库的情况下使用基本转换，这只是如何使用以下方式覆盖自定义类的__iter__ & __str__函数。

class JSONCustomEncoder(json.JSONEncoder):
    def default(self, obj):
        return obj.__dict__


class Student:
    def __init__(self, name: str, slug: str):
        self.name = name
        self.age = age

    def __iter__(self):
        yield from {
            "name": self.name,
            "age": self.age,
        }.items()

    def __str__(self):
        return json.dumps(
            self.__dict__, cls=JSONCustomEncoder, ensure_ascii=False
        )

通过在dict()中进行包装来使用该对象，从而保留数据。

s = Student("aman", 24)
dict(s)

这是一个小库，它将一个对象及其所有子对象序列化为JSON，并将其解析回来:

https://github.com/tobiasholler/PyJSONSerialization/