python爬虫
无意间发现极客学院里有Python爬虫的课程，一直对此比较感兴趣，今天就学习一点。
1、首先了解基本的正则表达式
密码：hadkfalifexxIxxfasdjifja134xxlovexx23345sdfxxyouxx8dfse
解密：I love you
解密方法：找规律 xx需要的内容xx
常用符号：点号，星号，问号与括号
常用方法：findall，search，sub
常用技巧
1.1、正则表达式符号与方法 — 常用符号
. : 匹配任意字符，换行符\n除外
* ：匹配前一个字符0次或无限次
? ：匹配前一个字符0次或1次
.*：贪心算法
.*?：非贪心算法
（）：括号内的数据作为结果返回
1.2、正则表达式符号与方法 — 效果展示
findall： 匹配所有符合规律的内容，返回包含结果的列表
Search：匹配并提取第一个符合规律的内容，返回一个正则表达式对象（object)
Sub：替换符合规律的内容，返回替换后的值
1.3、正则表达式符号与方法 — 常用技巧
import re
from re import *
from re import findall,search,sub,S
不需要complie
使用\d+匹配纯数字
re.py库文件的源代码如下所示
#
# Secret Labs' Regular Expression Engine
#
# re-compatible interface for the sre matching engine
#
# Copyright (c) 1998-2001 by Secret Labs AB. All rights reserved.
#
# This version of the SRE library can be redistributed under CNRI's
# Python 1.6 license. For any other use, please contact Secret Labs
# AB ([email protected]).
#
# Portions of this engine have been developed in cooperation with
# CNRI. Hewlett-Packard provided funding for 1.6 integration and
# other compatibility work.
#
r"""Support for regular expressions (RE).
This module provides regular expression matching operations similar to
those found in Perl. It supports both 8-bit and Unicode strings; both
the pattern and the strings being processed can contain null bytes and
characters outside the US ASCII range.
Regular expressions can contain both special and ordinary characters.
Most ordinary characters, like "A", "a", or "0", are the simplest
regular expressions; they simply match themselves. You can
concatenate ordinary characters, so last matches the string 'last'.
The special characters are:
"." Matches any character except a newline.
"^" Matches the start of the string.
"$" Matches the end of the string or just before the newline at
the end of the string.
"*" Matches 0 or more (greedy) repetitions of the preceding RE.
Greedy means that it will match as many repetitions as possible.
"+" Matches 1 or more (greedy) repetitions of the preceding RE.
"?" Matches 0 or 1 (greedy) of the preceding RE.
*?,+?,?? Non-greedy versions of the previous three special characters.
{m,n} Matches from m to n repetitions of the preceding RE.
{m,n}? Non-greedy version of the above.
"\\" Either escapes special characters or signals a special sequence.
[] Indicates a set of characters.
A "^" as the first character indicates a complementing set.
"|" A|B, creates an RE that will match either A or B.
(...) Matches the RE inside the parentheses.
The contents can be retrieved or matched later in the string.
(?iLmsux) Set the I, L, M, S, U, or X flag for the RE (see below).
(?:...) Non-grouping version of regular parentheses.
(?P...) The substring matched by the group is accessible by name.
(?P=name) Matches the text matched earlier by the group named name.
(?#...) A comment; ignored.
(?=...) Matches if ... matches next, but doesn't consume the string.
(?!...) Matches if ... doesn't match next.
(?<=...) Matches if preceded by ... (must be fixed length).
(?
import sys
import sre_compile
import sre_parse
try:
import _locale
except ImportError:
_locale = None
# public symbols
__all__ = [ "match", "search", "sub", "subn", "split", "findall",
"compile", "purge", "template", "escape", "I", "L", "M", "S", "X",
"U", "IGNORECASE", "LOCALE", "MULTILINE", "DOTALL", "VERBOSE",
"UNICODE", "error" ]
__version__ = "2.2.1"
# flags
I = IGNORECASE = sre_compile.SRE_FLAG_IGNORECASE # ignore case
L = LOCALE = sre_compile.SRE_FLAG_LOCALE # assume current 8-bit locale
U = UNICODE = sre_compile.SRE_FLAG_UNICODE # assume unicode locale
M = MULTILINE = sre_compile.SRE_FLAG_MULTILINE # make anchors look for newline
S = DOTALL = sre_compile.SRE_FLAG_DOTALL # make dot match newline
X = VERBOSE = sre_compile.SRE_FLAG_VERBOSE # ignore whitespace and comments
# sre extensions (experimental, don't rely on these)
T = TEMPLATE = sre_compile.SRE_FLAG_TEMPLATE # disable backtracking
DEBUG = sre_compile.SRE_FLAG_DEBUG # dump pattern after compilation
# sre exception
error = sre_compile.error
# --------------------------------------------------------------------
# public interface
def match(pattern, string, flags=0):
"""Try to apply the pattern at the start of the string, returning
a match object, or None if no match was found."""
return _compile(pattern, flags).match(string)
def search(pattern, string, flags=0):
"""Scan through string looking for a match to the pattern, returning
a match object, or None if no match was found."""
return _compile(pattern, flags).search(string)
def sub(pattern, repl, string, count=0, flags=0):
"""Return the string obtained by replacing the leftmost
non-overlapping occurrences of the pattern in string by the
replacement repl. repl can be either a string or a callable;
if a string, backslash escapes in it are processed. If it is
a callable, it's passed the match object and must return
a replacement string to be used."""
return _compile(pattern, flags).sub(repl, string, count)
def subn(pattern, repl, string, count=0, flags=0):
"""Return a 2-tuple containing (new_string, number).
new_string is the string obtained by replacing the leftmost
non-overlapping occurrences of the pattern in the source
string by the replacement repl. number is the number of
substitutions that were made. repl can be either a string or a
callable; if a string, backslash escapes in it are processed.
If it is a callable, it's passed the match object and must
return a replacement string to be used."""
return _compile(pattern, flags).subn(repl, string, count)
def split(pattern, string, maxsplit=0, flags=0):
"""Split the source string by the occurrences of the pattern,
returning a list containing the resulting substrings."""
return _compile(pattern, flags).split(string, maxsplit)
def findall(pattern, string, flags=0):
"""Return a list of all non-overlapping matches in the string.
If one or more groups are present in the pattern, return a
list of groups; this will be a list of tuples if the pattern
has more than one group.
Empty matches are included in the result."""
return _compile(pattern, flags).findall(string)
if sys.hexversion >= 0x02020000:
__all__.append("finditer")
def finditer(pattern, string, flags=0):
"""Return an iterator over all non-overlapping matches in the
string. For each match, the iterator returns a match object.
Empty matches are included in the result."""
return _compile(pattern, flags).finditer(string)
def compile(pattern, flags=0):
"Compile a regular expression pattern, returning a pattern object."
return _compile(pattern, flags)
def purge():
"Clear the regular expression cache"
_cache.clear()
_cache_repl.clear()
def template(pattern, flags=0):
"Compile a template pattern, returning a pattern object"
return _compile(pattern, flags|T)
_alphanum = frozenset(
"abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789")
def escape(pattern):
"Escape all non-alphanumeric characters in pattern."
s = list(pattern)
alphanum = _alphanum
for i, c in enumerate(pattern):
if c not in alphanum:
if c == "\000":
s[i] = "\\000"
else:
s[i] = "\\" + c
return pattern[:0].join(s)
# --------------------------------------------------------------------
# internals
_cache = {}
_cache_repl = {}
_pattern_type = type(sre_compile.compile("", 0))
_MAXCACHE = 100
def _compile(*key):
# internal: compile pattern
pattern, flags = key
bypass_cache = flags & DEBUG
if not bypass_cache:
cachekey = (type(key[0]),) + key
try:
p, loc = _cache[cachekey]
if loc is None or loc == _locale.setlocale(_locale.LC_CTYPE):
return p
except KeyError:
pass
if isinstance(pattern, _pattern_type):
if flags:
raise ValueError('Cannot process flags argument with a compiled pattern')
return pattern
if not sre_compile.isstring(pattern):
raise TypeError, "first argument must be string or compiled pattern"
try:
p = sre_compile.compile(pattern, flags)
except error, v:
raise error, v # invalid expression
if not bypass_cache:
if len(_cache) >= _MAXCACHE:
_cache.clear()
if p.flags & LOCALE:
if not _locale:
return p
loc = _locale.setlocale(_locale.LC_CTYPE)
else:
loc = None
_cache[cachekey] = p, loc
return p
def _compile_repl(*key):
# internal: compile replacement pattern
p = _cache_repl.get(key)
if p is not None:
return p
repl, pattern = key
try:
p = sre_parse.parse_template(repl, pattern)
except error, v:
raise error, v # invalid expression
if len(_cache_repl) >= _MAXCACHE:
_cache_repl.clear()
_cache_repl[key] = p
return p
def _expand(pattern, match, template):
# internal: match.expand implementation hook
template = sre_parse.parse_template(template, pattern)
return sre_parse.expand_template(template, match)
def _subx(pattern, template):
# internal: pattern.sub/subn implementation helper
template = _compile_repl(template, pattern)
if not template[0] and len(template[1]) == 1:
# literal replacement
return template[1][0]
def filter(match, template=template):
return sre_parse.expand_template(template, match)
return filter
# register myself for pickling
import copy_reg
def _pickle(p):
return _compile, (p.pattern, p.flags)
copy_reg.pickle(_pattern_type, _pickle, _compile)
# --------------------------------------------------------------------
# experimental stuff (see python-dev discussions for details)
class Scanner:
def __init__(self, lexicon, flags=0):
from sre_constants import BRANCH, SUBPATTERN
self.lexicon = lexicon
# combine phrases into a compound pattern
p = []
s = sre_parse.Pattern()
s.flags = flags
for phrase, action in lexicon:
p.append(sre_parse.SubPattern(s, [
(SUBPATTERN, (len(p)+1, sre_parse.parse(phrase, flags))),
]))
s.groups = len(p)+1
p = sre_parse.SubPattern(s, [(BRANCH, (None, p))])
self.scanner = sre_compile.compile(p)
def scan(self, string):
result = []
append = result.append
match = self.scanner.scanner(string).match
i = 0
while 1:
m = match()
if not m:
break
j = m.end()
if i == j:
break
action = self.lexicon[m.lastindex-1][1]
if hasattr(action, '__call__'):
self.match = m
action = action(self, m.group())
if action is not None:
append(action)
i = j
return result, string[i:]