1. 程式人生 > >python------Json與pickle數據序列化

python------Json與pickle數據序列化

clas ola 識別 int -- text 數據 () write

一.json序列化

xml在被json取代,不同平臺之間的語言轉換,只能處理簡單的。復雜的用pickle;

pickle只能在python中用,而在Java中json也可以被識別。

info = {
    name:xiaolaizi,
    age:22
}
f = open("test.text","w")
f.write(str(info))
------------------------------------------------
import json
info = {
‘name‘:‘xiaolaizi‘,
‘age‘:22
}
f = open("test.text","w")
f.write(json.dumps(info))

---------------------------------------
import pickle
info = {
‘name‘:‘xiaomaizi‘,
‘age‘:22
}
f = open("test.text","wb")
f.write(pickle.dumps(info))
#等價pickle.dump(info,f)
 
 
f = open("test.text","r")
data = eval(f.read())
f.close()
print(data[age])     #反序列化
-------------------------------------------
import json
f = open("test.text","r")
data = json.loads(f.read())
f.close()
print(data[‘age‘])

--------------------------------------------
import pickle
f = open("test.text","rb")
data = pickle.loads(f.read())
#data = pickle.loads(f)

f.close()
print(data[‘age‘])

python------Json與pickle數據序列化