[大数据]python＜----＞json转化

将json对象转换为python对象

--test.json

json_data=[{'name':'egon','passwd':'123456','re':True},
{'name':'alice','passwd':'1234ds56','re':False}]

class JsonObject:
    def __init__(self,d):
        self.__dict__=d

with open('test.json','r',encoding='utf8') as f:
    data=json.load(f,object_hook=JsonObject)
print(data[0].name)

import json
from collections import OrderedDict

with open('test.json','r',encoding='utf8') as f:
    data=json.load(f,object_pairs_hook=OrderedDict)

python类实例序列化为json对象再反序列化为类实例

classes={
    'Point':Point
}

def serialize(obj):
    d={'__classname__':type(obj).__name__}
    d.update(vars(obj))
    return d

def userialize_obj(d):
    clsname=d.pop('__classname__',None)
    if clsname:
        cls=classes[clsname]
        obj=cls.__new__(cls)
        # obj.__dict__=d
        for key,val in d.items():
            setattr(obj,key,val)
        return obj
    else:
        return d

with open('test1.json','w',encoding='utf8') as f:
    json.dump(Point(2,3),f,default=serialize)

with open('test1.json','r',encoding='utf8') as f:
    point=json.load(f, object_hook=userialize_obj)
print(point.__dict__)