python------Json与pickle数据序列化

一.json序列化

  xml在被json取代，不同平台之间的语言转换，只能处理简单的。复杂的用pickle；

  pickle只能在python中用，而在Java中json也可以被识别。

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

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import pickle
info = {
    'name':'xiaomaizi',
    'age':22
}
f = open("test.text","wb")
f.write(pickle.dumps(info))
#等价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'])