python------Json與pickle數據序列化
阿新 • • 發佈:2018-08-30
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