数据结构化与保存
Posted LeonQiu
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import requests from bs4 import BeautifulSoup from datetime import datetime import re import pandas import openpyxl import sqlite3 url = "http://news.gzcc.cn/html/xiaoyuanxinwen/" res = requests.get(url); res.encoding = "utf-8" soup = BeautifulSoup(res.text, "html.parser"); def writeNewsDetails(contents): f = open(‘gzccnews.txt‘, "a", encoding="utf-8") f.write(contents) f.close() def getClickCount(newUrl): newsId = re.findall("\_(.*).html", newUrl)[0].split("/")[-1]; res = requests.get("http://oa.gzcc.cn/api.php?op=count&id= {}&modelid=80".format(newsId)) return int(res.text.split(".html")[-1].lstrip("(‘").rsplit("‘);")[0]) # 获取新闻详情 def getNewDetails(newsDetailUrl): detail_res = requests.get(newsDetailUrl) detail_res.encoding = "utf-8" detail_soup = BeautifulSoup(detail_res.text, "html.parser") news = {} news[‘title‘] = detail_soup.select(".show-title")[0].text info = detail_soup.select(".show-info")[0].text news[‘date_time‘] = datetime.strptime(info.lstrip(‘发布时间:‘)[: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‘] = detail_soup.select("#content")[0].text writeDetailNews(news[‘content‘]) news[‘click‘] = getClickCount(newsDetailUrl) return news # print(news) # 获取总页数 def getPageN(url): res = requests.get(url) res.encoding = ‘utf-8‘ soup = BeautifulSoup(res.text, ‘html.parser‘) return int(soup.select(".a1")[0].text.rstrip("条")) // 10 + 1 # 获取新闻一页的所有信息 def getListPage(url): newsList = [] for news in soup.select("li"): if len(news.select(".news-list-title")) > 0: # 排除为空的li # time = news.select(".news-list-info")[0].contents[0].text # title = news.select(".news-list-title")[0].text # description = news.select(".news-list-description")[0].text detail_url = news.select(‘a‘)[0].attrs[‘href‘] newsList.append(getNewDetails(detail_url)) return newsList newsTotal = [] totalPageNum = getPageN(url) firstPageUrl = "http://news.gzcc.cn/html/xiaoyuanxinwen/" newsTotal.extend(getListPage(firstPageUrl)) for num in range(totalPageNum, totalPageNum + 1): listpageurl = "http://news.gzcc.cn/html/xiaoyuanxinwen/{}.html".format(num) getListPage(listpageurl) print(newsTotal) #3. 安装pandas,用pandas.DataFrame(newstotal),创建一个DataFrame对象df. df = pandas.DataFrame(newsTotal) print(df) #4. 通过df将提取的数据保存到csv或excel 文件。 df.to_excel(‘gzcss.xlsx‘) # 5. 用pandas提供的函数和方法进行数据分析: # # 提取包含点击次数、标题、来源的前6行数据 # 提取‘学校综合办’发布的,‘点击次数’超过3000的新闻。 # 提取‘国际学院‘和‘学生工作处‘发布的新闻。 # 进取2018年3月的新闻 print(df[[‘title‘, ‘clickCount‘, ‘source‘]][:6]) print(df[(df[‘clickCount‘] > 3000) & (df[‘source‘] == ‘学校综合办‘)]) sou = [‘国际学院‘, ‘学生工作处‘] print(df[df[‘source‘].isin(sou)]) df1 = df.set_index(‘time‘) print(df1[‘2018-03‘])
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