什么是pyQuery：
强大又灵活的网页解析库。如果你觉得正则写起来太麻烦（我不会写正则），如果你觉得BeautifulSoup的语法太难记，如果你熟悉JQuery的语法，那么PyQuery就是你最佳的选择。
pyQuery的安装pip3 install pyquery即可安装啦。
pyQuery的基本用法：
初始化：
字符串初始化：
#!/usr/bin/env python# -*- coding: utf-8 -*-html = """The Dormouse's story</head> The Dormouse's story
Once upon a time there were three little sisters;and thier names were Lacie andTitle; and they lived at the boottom of a well.
...
"""from pyquery import PyQuery as pqdoc = pq(html)print(doc('a'))
运行结果：
URL初始化：
#!/usr/bin/env python# -*- coding: utf-8 -*-# URL初始化from pyquery import PyQuery as pqdoc = pq('http://www.baidu.com')print(doc('input')) 运行结果：
文件初始化：
#!/usr/bin/env python# -*- coding: utf-8 -*-# 文件初始化from pyquery import PyQuery as pqdoc = pq(filename='baidu.html')print(doc('title')) 运行结果：
选择方式和jquery一致，id、name、class都是如此，还有很多都和jquery一致。
基本CSS选择器：
#!/usr/bin/env python# -*- coding: utf-8 -*-# Css选择器html = """The Dormouse's story</head> The Dormouse's story
Once upon a time there were three little sisters;and thier names were Lacie andTitle; and they lived at the boottom of a well.
...
"""from pyquery import PyQuery as pqdoc = pq(html)print(doc('.title'))
运行结果：
查找元素：
子元素：
#!/usr/bin/env python# -*- coding: utf-8 -*-# 子元素html = """The Dormouse's story</head> The Dormouse's story
Once upon a time there were three little sisters;and thier names were Lacie andTitle; and they lived at the boottom of a well.
...
"""from pyquery import PyQuery as pqdoc = pq(html)items = doc('.title')print(type(items))print(items)p = items.find('b')print(type(p))print(p)
该代码为查找id为title的标签，我们可以看到id为title的标签有两个一个是p标签，一个是a标签，然后我们再使用find方法，查找出我们需要的p标签，运行结果：
这里需要注意的是，我们所使用的find是查找每一个元素内部的标签.
children：
#!/usr/bin/env python# -*- coding: utf-8 -*-# 子元素html = """The Dormouse's story</head> The Dormouse's story
Once upon a time there were three little sisters;and thier names were Lacie andTitle; and they lived at the boottom of a well.
...
"""from pyquery import PyQuery as pqdoc = pq(html)items = doc('.title')print(items.children())
运行结果：
也可以在children()内添加选择器条件：
#!/usr/bin/env python# -*- coding: utf-8 -*-# 子元素html = """The Dormouse's story</head> The Dormouse's story
Once upon a time there were three little sisters;and thier names were Lacie andTitle; and they lived at the boottom of a well.
...
"""from pyquery import PyQuery as pqdoc = pq(html)items = doc('.title')print(items.children('b'))
输出结果和上面的一致。
父元素：
#!/usr/bin/env python# -*- coding: utf-8 -*-# 子元素html = """The Dormouse's story</head> The Dormouse's story
Once upon a time there were three little sisters;and thier names were Lacie andTitle; and they lived at the boottom of a well.
...
"""from pyquery import PyQuery as pqdoc = pq(html)items = doc('#link1')print(items)print(items.parent())
运行结果：
这里只输出一个父元素。这里我们用parents方法会给予我们返回所有父元素，祖先元素
#!/usr/bin/env python# -*- coding: utf-8 -*-# 祖先元素html = """The Dormouse's story Once upo a time were three little sister;and theru name were Elsie Lacie and Title Title
...
"""from pyquery import PyQuery as pqdoc = pq(html)items = doc('#link1')print(items)print(items.parents('body'))
运行结果：
兄弟元素：
#!/usr/bin/env python# -*- coding: utf-8 -*-# 兄弟元素html = """The Dormouse's story Once upo a time were three little sister;and theru name were Elsie Lacie and Title Title
...
"""from pyquery import PyQuery as pqdoc = pq(html)items = doc('#link1')print(items)print(items.siblings('#link2'))
运行结果：
上面就把查找元素的方法都说了，下面我来看一下如何遍历元素。
遍历
#!/usr/bin/env python# -*- coding: utf-8 -*-# 兄弟元素html = """The Dormouse's story Once upo a time were three little sister;and theru name were Elsie Lacie and Title Title
...
"""from pyquery import PyQuery as pqdoc = pq(html)items = doc('a')for k,v in enumerate(items.items()): print(k,v)
运行结果：
获取信息：
获取属性：
#!/usr/bin/env python# -*- coding: utf-8 -*-# 获取属性html = """The Dormouse's story Once upo a time were three little sister;and theru name were Elsie Lacie and Title Title
...
"""from pyquery import PyQuery as pqdoc = pq(html)items = doc('a')print(items)print(items.attr('href'))print(items.attr.href)
运行结果：
获得文本：
#!/usr/bin/env python# -*- coding: utf-8 -*-# 获取属性html = """The Dormouse's story Once upo a time were three little sister;and theru name were Elsie Lacie and Title Title
...
"""from pyquery import PyQuery as pqdoc = pq(html)items = doc('a')print(items)print(items.text())print(type(items.text()))
运行结果：
获得HTML：
#!/usr/bin/env python# -*- coding: utf-8 -*-# 获取属性html = """The Dormouse's story Once upo a time were three little sister;and theru name were Elsie Lacie and Title Title
...
"""from pyquery import PyQuery as pqdoc = pq(html)items = doc('a')print(items.html())
运行结果：
DOM操作：
addClass、removeClass
#!/usr/bin/env python# -*- coding: utf-8 -*-# DOM操作，addClass、removeClasshtml = """The Dormouse's story Once upo a time were three little sister;and theru name were Elsie Lacie and Title Title
...
"""from pyquery import PyQuery as pqdoc = pq(html)items = doc('#link2')print(items)items.addClass('addStyle') # add_classprint(items)items.remove_class('sister') # removeClass print(items)
运行结果：
attr、css：
#!/usr/bin/env python# -*- coding: utf-8 -*-# DOM操作，attr,csshtml = """The Dormouse's story Once upo a time were three little sister;and theru name were Elsie Lacie and Title Title
...
"""from pyquery import PyQuery as pqdoc = pq(html)items = doc('#link2')items.attr('name','addname')print(items)items.css('width','100px')print(items)
可以给予新的属性，如果原来有该属性，会覆盖掉原有的属性
运行结果：
remove：
#!/usr/bin/env python# -*- coding: utf-8 -*-# DOM操作，removehtml = """Hello World"""from pyquery import PyQuery as pqdoc = pq(html)wrap = doc('.wrap')print(wrap.text())wrap.find('p').remove()print("remove以后的数据")print(wrap)This is a paragraph.
运行结果：
还有很多其他的DOM方法，想了解更多的小伙伴可以阅读其官方文档，地址：
伪类选择器：
#!/usr/bin/env python# -*- coding: utf-8 -*-# DOM操作，伪类选择器html = """The Dormouse's story Once upo a time were three little sister;and theru name were Elsie Lacie and Title Title
...
"""from pyquery import PyQuery as pqdoc = pq(html)# print(doc)wrap = doc('a:first-child') # 第一个标签print(wrap)wrap = doc('a:last-child') # 最后一个标签print(wrap)wrap = doc('a:nth-child(2)') # 第二个标签print(wrap)wrap = doc('a:gt(2)') # 比2大的索引 标签 即为 0 1 2 3 4 从0开始的 不是1print(wrap)wrap = doc('a:nth-child(2n)') # 第 2的整数倍 个标签print(wrap)wrap = doc('a:contains(Lacie)') # 包含Lacie文本的标签print(wrap)
这里不在详细的一一列举了，了解更多CSS选择器可以查看官方文档，由W3C提供地址：
到这里我们就把pyQuery的使用方法大致的说完了，想了解更多，更详细的可以阅读官方文档，地址：
上述代码地址：
感谢大家的阅读，不正确的地方，还希望大家来斧正，鞠躬，谢谢?。