4.python读写csv文件

1.爬取豆瓣top250书籍

import requests
import json
import csv
from bs4 import BeautifulSoup

books = []
def book_name(url): res = requests.get(url) html = res.text soup = BeautifulSoup(html,html.parser) items = soup.find(class_="grid-16-8 clearfix").find(class_="indent").find_all(table) for i in items: book = [] title = i.find(class_="pl2").find(a) book.append( + title.text.replace( ,‘‘).replace(\n,‘‘) + ) star = i.find(class_="star clearfix").find(class_="rating_nums") book.append(star.text + ) try: brief = i.find(class_="quote").find(class_="inq") except AttributeError: book.append(”暂无简介“) else: book.append(brief.text) link = i.find(class_="pl2").find(a)[href] book.append(link) global books books.append(book) print(book) try: next = soup.find(class_="paginator").find(class_="next").find(a)[href] # 翻到最后一页 except TypeError: return 0 else: return next next = https://book.douban.com/top250?start=0&filter= count = 0 while next != 0: count += 1 next = book_name(next) print(-----------以上是第 + str(count) + 页的内容-----------) csv_file = open(D:/top250_books.csv,w,newline=‘‘,encoding=utf-8) w = csv.writer(csv_file) w.writerow([书名,评分,简介,链接]) for b in books: w.writerow(b)

结果

分享图片

2.把评分为9.0的书籍保存到book_out.csv文件

‘‘‘
1.爬取豆瓣评分排行前250本书,保存为top250.csv
2.读取top250.csv文件,把评分为9.0以上的书籍保存到另外一个csv文件‘‘‘

import csv

#打开的时候必须用encoding=‘utf-8‘,否则报错
with open(top250.csv,encoding=utf-8) as rf:
    reader = csv.reader(rf)
    #读取头部
    headers = next(reader)
    with open(books_out.csv,encoding=utf-8) as wf:
        writer = csv.writer(wf)
        #头部信息写进去
        writer.writerow(headers)

        for book in reader:
            #获取评分
            score = book[1]
            #把评分大于9.0的过滤出来
            if score and float(score) >= 9.0:
                writer.writerow(book)

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