普通文件读写
# 文件写入
info = {
"name": "Tom",
"age": 23
}
f = open("info.txt", "w")
f.write(str(info)) # {'name': 'Tom', 'age': 23}
f.close()
# 文件读取
f = open("info.txt", "r")
data = eval（f.read())
f.close()
print(type(data), data)
# <class 'dict'> {'name': 'Tom', 'age': 23}通过json
import json
# 序列化，只能一次
f = open("info2.txt", "w")
json.dump(info, f) #相当于 f.write(json.dumps(info))
# {"name": "Tom", "age": 23}
f.close()
# 反序列化，只能一次
f = open("info2.txt", "r")
data = json.load(f) #相当于： data = json.loads(f.read())
f.close()
print(type(data), data)
# <class 'dict'> {'name': 'Tom', 'age': 23}如果需要有乱码或者需要美观缩进对齐，可以使用如下方式进行格式化输出：
with open("result.txt", "w") as f:
txt = json.dumps(lst, ensure_ascii=False, indent=4)
f.write(txt)
参考: python json.dumps()函数输出json格式，使用indent参数对json数据格式化输出
通过pickle
try:
import cPickle as pickle # c语言，读写更快
except ImportError:
import pickle
# 写入
def sayHi():
print("Hello world!")
info = {
"name": "Tom",
"age": 23,
"func": sayHi
}
f = open("info3.txt", "wb")
f.write(pickle.dumps(info)) # 等价于：pickle.dump(info, f)
f.close()
"""
�}q (X funcqc__main__
sayHi
qX ageqKX nameqX Tomqu.
"""
# 读取
f = open("info3.txt", "rb")
data = pickle.loads(f.read()) # 等价于：pickle.load(f)
f.close()
print(type(data),data)
# <class 'dict'> {'name': 'Tom', 'func': <function sayHi at 0x0000000002E5CBF8>, 'age': 23}
data["func"]() # 调用 Hello world!
