Sequencing module json

json module 
json is a common data transmission format, essentially a string

json required { 'key': value}

key must be a string, value can only be: dictionaries, lists, strings, numbers, bool value
In any language of his type must be of type string
json is that all languages have become recognized as a data type
If the language is python java language to give information to send, it can be converted into json format. java conversion can be obtained through a series of data types

json serialization (dump / dumps) and deserialize (load / loads)

JSON Import 

DIC = { 'Beijing': { 'fengtai': {}, 'Haidian ": {}}} 
Print (DIC) 
dic_str = json.dumps (DIC, ensure_ascii = False) # serialization process, the dictionary / Other data type is converted into a string,

　　ensure_ascii = False, if there are Chinese dictionary, you want to write the data also showed that Chinese, it is necessary to add parameters


print(dic_str)

with open('file',mode='w',encoding='utf-8') as f:
    f.write(dic_str)

import json

lst = [1,2,3,4,56]
with open('file',mode='w',encoding='utf-8') as f:
    json.dump(lst,f)

with open('file',mode='r',encoding='utf-8') as f1:
    ret = json.load(f1)
    print(ret)

loads dumps and interactive memory

load dump and file interaction

import pickle

pickle module 
    1. python language-specific sequencing module

Import the pickle 
DIC = { ' Beijing ' : { ' sun ' : ' Changping ' }, ( ' Tianjin ' , ' Hebei ' ): [l, 2,3 ]} 
RET = the pickle.dumps (DIC)
 Print (RET) 

str_d = The pickle.loads (RET)
 Print (str_d) 


Import the pickle 

DIC = { ' Beijing ' : { ' sun ' : ' Changping ' }, ( '天津','河北'):[1,2,3]}
with open('file',mode='wb') as f:
    pickle.dump(dic,f)

with open('file',mode='rb') as f1:
    ret = pickle.load(f1)
    print(ret)

The difference between the pickle and json 

1.pickle supports almost all data types in python, but only a python language used 
2.json supports all languages, but only limited data type support

Sequencing module json

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