对爬取到的图片进行分类命名，下面开始了。

一、首先给出URL地址www.wmpic.me/touxiang/nvsheng

二、下载图片，进行分析，并保存图片至本地，直接上代码

import requests

from bs4 import BeautifulSoup

import random

user_agent = [

        'Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 6.1; WOW64; Trident/5.0; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729; .NET               CLR 3.0.30729; Media Center PC 6.0; .NET4.0C; .NET4.0E)',

        'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.11 (KHTML, like Gecko) Chrome/23.0.1271.64 Safari/537.11',

]

Yes_or_Not = ['y','n']

def download(url,folder,count=0):    #下载图片

    headers = {'User-Agent':random.choice(user_agent)}

    content = requests.get(url,headers=headers).content

    typ = random.choice(Yes_or_Not)  #机器随机选择是Y还是N

    path = folder + "\\" + typ + '_'+str(count)+'.jpg'  #图片格式

    with open(path,'wb') as f:

        f.write(content)  #写入并保存图片至本地文件

base_url = 'http://www.wmpic.me/touxiang/nvsheng/page/'

count = 1

for i in range(1,10):

    url = base_url + str(i)    #url地址

    headers = {'User_Agent':random.choice(user_agent)}

    html = requests.get(url,headers=headers).text

    soup = BeautifulSoup(html,'lxml')  #通过BeautifulSoup的lxml方法解析html

    for item in soup.select('li img'):  #解析定位到li img

        picture_url = item['src']

        if picture_url.find('215x185') != -1:  #215x185图片的宽度和高度

              if count <= 300:

                   download(picture_url,'train_pictures',count)    #保存图片至train_pictures文件夹下

                   print(picture_url)

                   count += 1

              else:

                    download(picture_url,'test_pictures',count)    #保存图片至test_pictures文件夹下

                    print(picture_url)

                   count += 1

三、运行结果

详细请参考（七）美女分类器