标签：pytho xls 字典 format attrs new htm list 分析
1. 将新闻的正文内容保存到文本文件。
def writeNewsDetail(content):
f = open(‘content.text‘,‘a‘,‘utf-8‘)
f.write(content)
f.close()
2. 将新闻数据结构化为字典的列表:
from datetime import datetime
import requests
import re
from bs4 import BeautifulSoup
def getClickCount(newsUrl):
newsId = re.search(‘\_(.*).html‘, newsUrl).group(1).split(‘/‘)[1]
clickUrl = ‘http://oa.gzcc.cn/api.php?op=count&id={}&modelid=80‘.format(newsId)
return (int(requests.get(clickUrl).text.split(‘.html‘)[-1].lstrip("(‘").rstrip("‘);")))
def getNewsDetail(newsUrl):
res = requests.get(newsUrl)
res.encoding = ‘utf-8‘
Ssoup = BeautifulSoup(res.text, ‘html.parser‘)
title = Ssoup.select(‘.show-title‘)[0].text
info = Ssoup.select(‘.show-info‘)[0].text
dt = datetime.strptime(info.lstrip(‘发布时间:‘)[0:19], ‘%Y-%m-%d %H:%M:%S‘)
source = info[info.find(‘来源：‘):].split()[0].lstrip(‘来源:‘)
content = Ssoup.select(‘.show-content‘)[0].text.strip()
click = getClickCount(newsUrl)
print(dt, title, newsUrl, source, click)
def writeNewsDetail(content):
f = open(‘content.text‘,‘a‘,‘utf-8‘)
f.write(content)
f.close()
def getNewsDetail(newsUrl):
res = requests.get(newsUrl)
res.encoding = ‘utf-8‘
Ssoup = BeautifulSoup(res.text, ‘html.parser‘)
news={}
news[‘title‘] = Ssoup.select(‘.show-title‘)[0].text
info = Ssoup.select(‘.show-info‘)[0].text
news[‘dt‘] = datetime.strptime(info.lstrip(‘发布时间:‘)[0:19], ‘%Y-%m-%d %H:%M:%S‘)
if info.find(‘来源：‘) > 0:
news[‘source‘] = info[info.find(‘来源：‘):].split()[0].lstrip(‘来源：‘)
else:
news[‘source‘] = ‘none‘
news[‘content‘] = Ssoup.select(‘.show-content‘)[0].text.strip()
# writeNewsDetail(news[‘content‘])
news[‘click‘] = getClickCount(newsUrl)
news[‘newsUrl‘] = newsUrl
return(news)
def getListPage(pageUrl):
res = requests.get(pageUrl)
res.encoding = ‘utf-8‘
soup = BeautifulSoup(res.text, ‘html.parser‘)
newslist = []
for news in soup.select("li"):
if len(news.select(".news-list-title")) > 0: # 排除为空的li
newsUrl = news.select(‘a‘)[0].attrs[‘href‘]
newslist.append(getNewsDetail(newsUrl))
return (newslist)
def getPageN():
res = requests.get(firstPageUrl)
res.encoding = ‘utf-8‘
soup = BeautifulSoup(res.text, ‘html.parser‘)
n = int(soup.select(‘.a1‘)[0].text.rstrip(‘条‘))
return (n // 10 + 1)
newstotal = []
firstPageUrl = ‘http://news.gzcc.cn/html/xiaoyuanxinwen/‘
newstotal.extend(getListPage(firstPageUrl))
n = getPageN()
for i in range(n, n+1):
listPageUrl = ‘http://news.gzcc.cn/html/xiaoyuanxinwen/{}.html‘.format(i)
newstotal.extend(getListPage(listPageUrl))
print(newstotal)
3. 安装pandas，用pandas.DataFrame(newstotal)，创建一个DataFrame对象df.
import pandas df = pandas.DataFrame(newstotal)
4. 通过df将提取的数据保存到csv或excel 文件。
import openpyxl df.to_excel(‘1234.xlsx‘)
5. 用pandas提供的函数和方法进行数据分析：
print(df[[‘click‘,‘title‘,‘source‘]].head(6))
print(df[(df[‘click‘]>3000)&(df[‘source‘]==‘学校综合办‘)])
print(df[(df[‘source‘]==‘国际学院‘)|(df[‘source‘]==‘学生工作处‘)])
6. 保存到sqlite3数据库
import sqlite3
with sqlite3.connect(‘gzccnewsdb.sqlite‘) as db:
df3.to_sql(‘gzccnews05‘,con = db, if_exists=‘replace‘)
7. 从sqlite3读数据
with sqlite3.connect(‘gzccnewsdb.sqlite‘) as db:
df2 = pandas.read_sql_query(‘SELECT * FROM gzccnews05‘,con=db)
print(df2)
8. df保存到mysql数据库
安装SQLALchemy
安装PyMySQL
MySQL里创建数据库：create database gzccnews charset utf8;
import pymysql
from sqlalchemy import create_engine
conn = create_engine(‘mysql+pymysql://root:root@localhost:3306/gzccnews?charset=utf8‘)
pandas.io.sql.to_sql(df, ‘gzccnews‘, con=conn, if_exists=‘replace‘)
MySQL里查看已保存了数据。（通过MySQL Client或Navicate。）
标签：pytho xls 字典 format attrs new htm list 分析
原文地址：https://www.cnblogs.com/932zdb/p/8870001.html
