# -*- codeing = utf-8 -*- from bs4 import BeautifulSoup # 网页解析,获取数据 import re # 正则表达式,进行文字匹配` import urllib.request, urllib.error # 制定URL,获取网页数据 import xlwt # 进行excel操作 import numpy as np import matplotlib.pyplot as plt import pymysql; #import sqlite3 # 进行SQLite数据库操作 # # host="47.108.13.197" # user="root" # password="@Qq12345678" # port=3306 # db="python" # charset="utf8" # connect = pymysql.connect(host="47.108.13.197", user="root", password="@Qq12345678", port=3306, db="python", charset="utf8") # cursor=connect.cursor() # # result=cursor.fetchone() # cursor.close() # connect.close() findLink = re.compile(r'<a href="(.*?)">') # 创建正则表达式对象,标售规则 影片详情链接的规则 findImgSrc = re.compile(r'<img.*src="(.*?)"', re.S) findTitle = re.compile(r'<span class="title">(.*)</span>') findRating = re.compile(r'<span class="rating_num" property="v:average">(.*)</span>') findJudge = re.compile(r'<span>(\d*)人评价</span>') findInq = re.compile(r'<span class="inq">(.*)</span>') findBd = re.compile(r'<p class="">(.*?)</p>', re.S) def main(): baseurl = "https://movie.douban.com/top250?start=" #要爬取的网页链接 # 1.爬取网页 datalist = getData(baseurl) savepath = "豆瓣电影Top250.xls" #当前目录新建XLS,存储进去] movname=[] pingjia=[] for i in range(250): movname.append(datalist[i][2]) pingjia.append(datalist[i][5]) # data.append([datalist[i][2],datalist[i][5]]) # sql = "INSERT INTO move values(%s,%s)" # try: # if cursor.execute(sql%str(datalist[i][2]),str(datalist[i][5])): # connect.commit() # print("********已入库**********") # except: # print("#########入库失败#########") # connect.rollback() print(datalist) # connect.close() saveData(datalist,savepath) matlab(movname,pingjia) # 爬取网页 def getData(baseurl): datalist = [] #用来存储爬取的网页信息 for i in range(0, 10): # 调用获取页面信息的函数,10次 url = baseurl + str(i * 25) html = askURL(url) # 保存获取到的网页源码 # 2.逐一解析数据 soup = BeautifulSoup(html, "html.parser") for item in soup.find_all('div', class_="item"): # 查找符合要求的字符串 data = [] # 保存一部电影所有信息 item = str(item) #转换为字符串 link = re.findall(findLink, item)[0] # 通过正则表达式查找 data.append(link) imgSrc = re.findall(findImgSrc, item)[0] data.append(imgSrc) titles = re.findall(findTitle, item) if (len(titles) == 2): ctitle = titles[0] data.append(ctitle) otitle = titles[1].replace("/", "") #消除转义字符 data.append(otitle) else: data.append(titles[0]) data.append(' ') rating = re.findall(findRating, item)[0] data.append(rating) judgeNum = re.findall(findJudge, item)[0] data.append(judgeNum) inq = re.findall(findInq, item) if len(inq) != 0: inq = inq[0].replace("。", "") #将逗号替换成空格存储 data.append(inq) else: data.append(" ") bd = re.findall(findBd, item)[0] #查找 bd = re.sub('<br(\s+)?/>(\s+)?', "", bd) #通过正则表达式查找 bd = re.sub('/', "", bd) data.append(bd.strip()) #将所有信息都放入 datalist.append(data) return datalist # 得到指定一个URL的网页内容 def askURL(url): head = { # 模拟浏览器头部信息,向豆瓣服务器发送消息 "User-Agent": "Mozilla / 5.0(Windows NT 10.0; Win64; x64) AppleWebKit / 537.36(KHTML, like Gecko) Chrome / 80.0.3987.122 Safari / 537.36" } request = urllib.request.Request(url, headers=head) html = "" try: response = urllib.request.urlopen(request) html = response.read().decode("utf-8") except urllib.error.URLError as e: if hasattr(e, "code"): #判断是否包含对应属性 print(e.code) if hasattr(e, "reason"): print(e.reason) return html # 保存数据到表格 def saveData(datalist,savepath): print("save.......") book = xlwt.Workbook(encoding="utf-8",style_compression=0) #创建workbook对象 sheet = book.add_sheet('豆瓣电影Top250', cell_overwrite_ok=True) #创建工作表 col = ("电影详情链接","图片链接","影片中文名","影片外国名","评分","评价数","概况","相关信息") for i in range(0,8): sheet.write(0,i,col[i]) #列名 for i in range(0,250): # print("第%d条" %(i+1)) #输出语句,用来测试 data = datalist[i] for j in range(0,8): sheet.write(i+1,j,data[j]) #数据 book.save(savepath) #保存 def matlab(movname,pinglun): #视图 cishu=0 print(len(movname)) for i in range(50): label_list = [] cnt_list = [] for j in range(5): if cishu<len(movname): label_list.append(movname[cishu]) print(label_list) cnt_list.append(pinglun[cishu]) print(cnt_list) # for i in range(10,250,10): cishu=cishu+1 if j==4: plt.rcParams['font.sans-serif'] = ['Microsoft YaHei'] plt.rcParams['axes.unicode_minus'] = False plt.bar(range(len(cnt_list)), cnt_list, label='TOP5', color='steelblue', alpha=1.0, width=0.8) plt.xticks(np.arange(len(label_list)), labels=label_list) plt.legend() plt.show() if __name__ == "__main__": # 当程序执行时 # 调用函数 main() # matlab() # init_db("movietest.db") print("爬取完毕!")