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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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