??pickle模塊是python中數(shù)據(jù)序列化和反序列化的一個包，該模塊提供了一套算法，用于對一個Python對象進行serializing（序列化為字符串）和de-serializing（從字符串構(gòu)建對象），這個過程分別叫做pickle和unpickle。 pickle主要提供了四個功能：dumps,loads,dump,load, 兩兩配對使用，下面分別說明 ：

dumps、loads函數(shù)

?

函數(shù)說明：

dumps(obj, protocal, fix_imports=True)

??這里主要說明一下，協(xié)議：

• Protocol version 0 is the original “human-readable” protocol and is backwards compatible with earlier versions of Python.

• Protocol version 1 is an old binary format which is also compatible with earlier versions of Python.

• Protocol version 2 was introduced in Python 2.3. It provides much more efficient pickling of new-style class. Refer to PEP 307 for information about improvements brought by protocol 2.

• Protocol version 3 was added in Python 3.0. It has explicit support for bytes objects and cannot be unpickled by Python 2.x. This is the default protocol, and the recommended protocol when compatibility with other Python 3 versions is required.

• Protocol version 4 was added in Python 3.4. It adds support for very large objects, pickling more kinds of objects, and some data format optimizations. Refer to PEP 3154 for information about improvements brought by protocol 4.

  所以對我來說，我是用的時候都是用 4 或則 3， 因為我一般也就只用python3, 當然具體環(huán)境具體考慮。

loads(byteslike_obj,fix_imports=True,encoding='ASCII', errors='strict')

??這幾個參數(shù)比較常見，就不做過多解釋

函數(shù)應(yīng)用：

# _*_ coding: utf-8 _*_ __author__ = 'Jeffery' __date__ = '2018/7/27 10:13'import pickle as pkla = [[1, 2], [3, 4]]# fix_imports 主要指python2、python3之間的一個兼容問題 pkl_a = pkl.dumps(a, 4, fix_imports=True) unpkl_a = pkl.loads(pkl_a, fix_imports=True, encoding='ASCII', errors='strict')print(pkl_a) # b'\x80\x04\x95\x15\x00\x00\x00\x00\x00\x00\x00]\x94(]\x94(K\x01K\x02e]\x94(K\x03K\x04ee.' print(unpkl_a) # [[1, 2], [3, 4]]

dump、load函數(shù)

??首先，和上面兩個函數(shù)的區(qū)別是，dump函數(shù)是將object序列為成字符串然后寫入文件，而load函數(shù)從文件中讀取反序列化object。所以函數(shù)形式也基本和前述類似，只不過dump、load函數(shù)參數(shù)中多了一個 file參數(shù)。

函數(shù)應(yīng)用：

??下面的示例代碼中，我還給出的捕獲異常處理，可以參考使用，靈活應(yīng)用

__author__ = 'Jeffery' __date__ = '2018/7/27 10:13'import pickle as pkl from pickle import PickleError, PicklingError, UnpicklingErrora = [[1, 2], [3, 4]] file_path = './pickle_data.pkl' try:with open(file_path, 'wb') as f:pkl.dump(a, f, 4, fix_imports=True) except PicklingError as e:print('該對象不可封裝 ', e) except PickleError as e:print('對象封裝過程出錯', e) except FileNotFoundError as e:print('該文件不存在') except Exception as e:print(e) else:with open(file_path, 'rb') as f:unpkl_a = pkl.load(f, fix_imports=True, encoding='ASCII', errors='strict')print('unpkl_a:', unpkl_a) finally:print('腳本結(jié)束')

小結(jié)

pickle可以存儲的數(shù)據(jù)類型有：

• 所有python支持的原生類型：布爾值，整數(shù)，浮點數(shù)，復(fù)數(shù)，字符串，字節(jié)，None。
• 由任何原生類型組成的列表，元組，字典和集合。
• 函數(shù)，類，類的實例

總結(jié)

以上是生活随笔為你收集整理的python pickle模块：数据序列化和反序列化的全部內(nèi)容，希望文章能夠幫你解決所遇到的問題。

如果覺得生活随笔網(wǎng)站內(nèi)容還不錯，歡迎將生活随笔推薦給好友。