pickle是Python库中常用的序列化工具,新版本的Python中用c重新实现了一遍,叫cPickle,性能更高,下面的代码演示了pickle库的常用接口用法,非常简单:
import cPickle as pickle
# dumps and loads
# 将内存对象dump为字符串,或者将字符串load为内存对象
def test_dumps_and_loads():
t = {'name': ['v1', 'v2']}
print t
o = pickle.dumps(t)
print o
print 'len o: ', len(o)
p = pickle.loads(o)
print p
# 关于HIGHEST_PROTOCOL参数,pickle 支持3种protocol,0、1、2:
# http://stackoverflow.com/questions/23582489/python-pickle-protocol-choice
# 0:ASCII protocol,兼容旧版本的Python
# 1:binary format,兼容旧版本的Python
# 2:binary format,Python2.3 之后才有,更好的支持new-sytle class
def test_dumps_and_loads_HIGHEST_PROTOCOL():
print 'HIGHEST_PROTOCOL: ', pickle.HIGHEST_PROTOCOL
t = {'name': ['v1', 'v2']}
print t
o = pickle.dumps(t, pickle.HIGHEST_PROTOCOL)
print 'len o: ', len(o)
p = pickle.loads(o)
print p
# new-style class
def test_new_sytle_class():
class TT(object):
def __init__(self, arg, **kwargs):
super(TT, self).__init__()
self.arg = arg
self.kwargs = kwargs
def test(self):
print self.arg
print self.kwargs
# ASCII protocol
t = TT('test', a=1, b=2)
o1 = pickle.dumps(t)
print o1
print 'o1 len: ', len(o1)
p = pickle.loads(o1)
p.test()
# HIGHEST_PROTOCOL对new-style class支持更好,性能更高
o2 = pickle.dumps(t, pickle.HIGHEST_PROTOCOL)
print 'o2 len: ', len(o2)
p = pickle.loads(o2)
p.test()
# dump and load
# 将内存对象序列化后直接dump到文件或支持文件接口的对象中
# 对于dump,需要支持write接口,接受一个字符串作为输入参数,比如:StringIO
# 对于load,需要支持read接口,接受int输入参数,同时支持readline接口,无输入参数,比如StringIO
# 使用文件,ASCII编码
def test_dump_and_load_with_file():
t = {'name': ['v1', 'v2']}
# ASCII format
with open('test.txt', 'w') as fp:
pickle.dump(t, fp)
with open('test.txt', 'r') as fp:
p = pickle.load(fp)
print p
# 使用文件,二进制编码
def test_dump_and_load_with_file_HIGHEST_PROTOCOL():
t = {'name': ['v1', 'v2']}
with open('test.bin', 'wb') as fp:
pickle.dump(t, fp, pickle.HIGHEST_PROTOCOL)
with open('test.bin', 'rb') as fp:
p = pickle.load(fp)
print p
# 使用StringIO,二进制编码
def test_dump_and_load_with_StringIO():
import StringIO
t = {'name': ['v1', 'v2']}
fp = StringIO.StringIO()
pickle.dump(t, fp, pickle.HIGHEST_PROTOCOL)
fp.seek(0)
p = pickle.load(fp)
print p
fp.close()
# 使用自定义类
# 这里演示用户自定义类,只要实现了write、read、readline接口,
# 就可以用作dump、load的file参数
def test_dump_and_load_with_user_def_class():
import StringIO
class FF(object):
def __init__(self):
self.buf = StringIO.StringIO()
def write(self, s):
self.buf.write(s)
print 'len: ', len(s)
def read(self, n):
return self.buf.read(n)
def readline(self):
return self.buf.readline()
def seek(self, pos, mod=0):
return self.buf.seek(pos, mod)
def close(self):
self.buf.close()
fp = FF()
t = {'name': ['v1', 'v2']}
pickle.dump(t, fp, pickle.HIGHEST_PROTOCOL)
fp.seek(0)
p = pickle.load(fp)
print p
fp.close()
# Pickler/Unpickler
# Pickler(file, protocol).dump(obj) 等价于 pickle.dump(obj, file[, protocol])
# Unpickler(file).load() 等价于 pickle.load(file)
# Pickler/Unpickler 封装性更好,可以很方便的替换file
def test_pickler_unpickler():
t = {'name': ['v1', 'v2']}
f = file('test.bin', 'wb')
pick = pickle.Pickler(f, pickle.HIGHEST_PROTOCOL)
pick.dump(t)
f.close()
f = file('test.bin', 'rb')
unpick = pickle.Unpickler(f)
p = unpick.load()
print p
f.close()
原文地址:http://www.isware.cn/python-modules/01-data-persistence-and-exchange/pickle/
网友评论
我发现在python3.6.1中没有这个标准库。。。一个都没有。
但是在官方文档里有后者pickle
并且我用conda install pickle
有以下错误。。。
PS D:\Anaconda> conda install pickle
Fetching package metadata ...........
PackageNotFoundError: Package missing in current win-64 channels:
- pickle
Close matches found; did you mean one of these?
pickle: pickleshare, cloudpickle
PS D:\Anaconda> conda search pickle
Fetching package metadata ...........
cloudpickle 0.1.0 py26_0 defaults
0.1.0 py27_0 defaults
pickleshare
0.7.4 py27_0 defaults
0.7.4 py34_0 defaults
因为刚刚入门,工具也是愁死了。。。
还望大佬解救。
使用环境是如下。
PS D:\Anaconda> conda -V
conda 4.3.21
PS D:\Anaconda> python -V
Python 3.6.1 :: Anaconda 4.4.0 (64-bit)
PS D:\Anaconda>