Python中json的encode和decode以及dumps 和load

将对象序列化为JSON对象，即对对象进行json encode编码，使用函数，以及使用dumps 将dict 类型转换成json 对象；

而将JSON对象反序列化为一个python类型，即对对象进行json decode解码，和loads性质相同，将json 对象返回为python类型：

示例如下;

import json

data = {"fpindex": "123", "nsInstanceId": "test", "context": "create sfc", "sdnControllerId": "123"}
print("data:%s--------------------", data)
print("type_data: %s----------------", type(data))
data_encode = json.JSONEncoder().encode(data)
print("data_encode: %s------------------",data_encode)
print("type_data_encode:%s ---------------------", type(data_encode))

data_dumps = json.dumps(data)
print("data_dumps:------------------%s ", data_dumps)
print("type_data_dumps:%s --------------------", type(data_dumps))
print(data_encode == data_dumps)

结果如下：

data_encode: %s------------------ {"fpindex": "123", "nsInstanceId": "test", "context": "create sfc", "sdnControllerId": "123"}
type_data_encode:%s --------------------- 
data_dumps:------------------%s  {"fpindex": "123", "nsInstanceId": "test", "context": "create sfc", "sdnControllerId": "123"}
type_data_dumps:%s -------------------- 
True