浮点数 非宁静，无以致远(6)

拆分编组同样不难：

1. import pickle

2.

3. fileHandle = open ( 'pickleFile.txt' )

4. testList = pickle.load ( fileHandle )

5. fileHandle.close()

import pickle

fileHandle = open ( 'pickleFile.txt' )

testList = pickle.load ( fileHandle )

fileHandle.close()

现在试试存储更加复杂的数据：

1. import pickle

2.

3. fileHandle = open ( 'pickleFile.txt', 'w' )

4. testList = [ 123, { 'Calories' : 190 }, 'Mr. Anderson', [ 1, 2, 7 ] ]

5. pickle.dump ( testList, fileHandle )

6. fileHandle.close()

import pickle

fileHandle = open ( 'pickleFile.txt', 'w' )

testList = [ 123, { 'Calories' : 190 }, 'Mr. Anderson', [ 1, 2, 7 ] ]

pickle.dump ( testList, fileHandle )

fileHandle.close()

1. import pickle

2.

3. fileHandle = open ( 'pickleFile.txt' )

4. testList = pickle.load ( fileHandle )

5. fileHandle.close()

import pickle

fileHandle = open ( 'pickleFile.txt' )

testList = pickle.load ( fileHandle )

fileHandle.close()

如上所述，使用Python的“pickle”模块编组确实很简单。众多对象可以通过它来存储到文件中。如果可以的话，“cPickle”同样胜任这个工作。它和“pickle”模块一样，但是速度更快：

1. import cPickle

2.

3. fileHandle = open ( 'pickleFile.txt', 'w' )

4. cPickle.dump ( 1776, fileHandle )

5. fileHandle.close()

import cPickle

fileHandle = open ( 'pickleFile.txt', 'w' )

cPickle.dump ( 1776, fileHandle )

fileHandle.close()

字符串匹配

对于简单的数据，使用流文本文件而不是数据库更简单明了，也就少不了文件操作和字符串匹配的需求。

re模块的search和match方法是匹配到就返回，而不是去匹配所有，而findall()则匹配所有返回数组。

>>> m=re.findall("^a\w+","abcdfa\na1b2c3",re.MULTILINE)

>>> m

['abcdfa', 'a1b2c3']