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[Python常用库]pickle

[Python常用库]pickle

作者: 蓝色信仰 | 来源:发表于2015-08-03 09:51 被阅读1542次

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/

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网友评论

  • 由简单到简单:import cPickle as pickle 错误。

    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>
    蓝色信仰:我写的是python2.7的库:-)

本文标题:[Python常用库]pickle

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