python 爬取中彩网双色球开奖数据，预测下一期开奖号码

爬取中彩网双色球开奖数据：

import requests
from bs4 import BeautifulSoup
from collections import Counter

# 获取内容
res = requests.get('http://kaijiang.zhcw.com/zhcw/html/ssq/list_1.html', timeout = 30)
res.encoding = 'utf-8'
htm = res.text
# 解析内容
soup = BeautifulSoup(htm, 'html.parser')
# url前缀
prefix_url = 'http://kaijiang.zhcw.com/zhcw/html/ssq/list'
#获取总页数
total = int(soup.find('p', attrs={"class": "pg"}).find_all('strong')[0].text)
#将获取的信息，写进文件
local_file = open('双色球.txt', 'w')

red_num = [] #历史上开出的红球
blue_num = [] #历史上开出的蓝球

# 分页获取每一页的开奖信息
for page_num in range(1, total+1):
    t_url = prefix_url + '_' + str(page_num) + '.html'
    print(t_url)
    res2 = requests.get(t_url, timeout = 30)
    res2.encoding = 'utf-8'
    page_context = res2.text
    page_soup = BeautifulSoup(page_context, 'html.parser')
    if page_soup.table is None:
        continue
    elif page_soup.table:
        table_rows = page_soup.table.find_all('tr')
        for row_num in range(2, len(table_rows)-1):
            row_tds = table_rows[row_num].find_all('td')
            ems = row_tds[2].find_all('em')
            # result = '开奖日期:'+ row_tds[0].string +','+'期号:'+ row_tds[1].string +', '+ems[0].string+' '+ems[1].string+' '+ems[2].string+' '+ems[3].string+' '+ems[4].string+' '+ems[5].string+' '+ems[6].string
            result = row_tds[0].string +','+ row_tds[1].string +', '+ems[0].string+' '+ems[1].string+' '+ems[2].string+' '+ems[3].string+' '+ems[4].string+' '+ems[5].string+' '+ems[6].string
            local_file.write(result+'\n')
            print(result)
            red_num.append(ems[0].string) # 红球1
            red_num.append(ems[1].string) # 红球2
            red_num.append(ems[2].string) # 红球3
            red_num.append(ems[3].string) # 红球4
            red_num.append(ems[4].string) # 红球5
            red_num.append(ems[5].string) # 红球6
            blue_num.append(ems[6].string) # 蓝球
    else:
        continue

local_file.close

red_count = Counter(red_num)
blue_count = Counter(blue_num)
# 按照出现频率顺序
red_count_sorted = sorted(red_count.items(), key=lambda pair: pair[1], reverse=False)
blue_count_sorted = sorted(blue_count.items(), key=lambda pair: pair[1], reverse=False)

print(red_count_sorted)
print(blue_count_sorted)

ssq_red = red_count_sorted[0:6]
ssq_blue = blue_count_sorted[0:3]
print(list(map(lambda item:item[0], ssq_red)))
print(list(map(lambda item:item[0], ssq_blue)))
ssq_red = list(map(lambda item:item[0], ssq_red))
ssq_blue = list(map(lambda item:item[0], ssq_blue))
ssq_red.sort()
ssq_blue.sort()
print('顺选-1：'+str(ssq_red)+'|'+ssq_blue[0])
print('顺选-2：'+str(ssq_red)+'|'+ssq_blue[1])
print('顺选-3：'+str(ssq_red)+'|'+ssq_blue[2])
print('------------------------------------------------------------------------------')
# 按照出现频率倒序
red_count_sorted = sorted(red_count.items(), key=lambda pair: pair[1], reverse=True)
blue_count_sorted = sorted(blue_count.items(), key=lambda pair: pair[1], reverse=True)

print(red_count_sorted)
print(blue_count_sorted)

ssq_red = red_count_sorted[0:6]
ssq_blue = blue_count_sorted[0:3]
print(list(map(lambda item:item[0], ssq_red)))
print(list(map(lambda item:item[0], ssq_blue)))
ssq_red = list(map(lambda item:item[0], ssq_red))
ssq_blue = list(map(lambda item:item[0], ssq_blue))
ssq_red.sort()
ssq_blue.sort()
print('反选-1：'+str(ssq_red)+'|'+ssq_blue[0])
print('反选-2：'+str(ssq_red)+'|'+ssq_blue[1])
print('反选-3：'+str(ssq_red)+'|'+ssq_blue[2])

预测结果：

顺选-1：['05', '12', '15', '24', '29', '33']|04
顺选-2：['05', '12', '15', '24', '29', '33']|08
顺选-3：['05', '12', '15', '24', '29', '33']|15
------------------------------------------------------
反选-1：['03', '06', '11', '14', '18', '19']|11
反选-2：['03', '06', '11', '14', '18', '19']|12
反选-3：['03', '06', '11', '14', '18', '19']|16