帮我把下面代表转换成列表推导式 for item in doc_list.items(): if item.attr('name') == 'VehicleId': print(item.attr('name'))

我理解你想要将这段代码转换为列表推导式，但是这段代码本身已经是使用字典的迭代器来遍历键值对了，并不适合转换为列表推导式。如果你的目标是过滤出所有 `name` 属性为 `VehicleId` 的键值对，并将它们存储到一个列表中，可以尝试以下代码：

result = [(name, value) for name, value in doc_list.items() if value.get('name') == 'VehicleId']
print(result)

这里我们使用了列表推导式，遍历 `doc_list` 中的所有键值对，并将键值对的键和值存储到一个元组中。其中，元组的第一个元素是键的名称，第二个元素是键对应的值。在遍历的时候，我们使用了字典的 `get()` 方法来获取键对应的值中的 `name` 属性，并与字符串 `'VehicleId'` 进行比较，如果相等，则将这个键值对存储到列表中。最后，我们将结果打印出来。

相关问题

selector = parsel.Selector(html_data) lis = selector.css('.list_item h2 a::attr(href)').getall() details = [] for li in lis: detail_url = 'https://travel.qunar.com' + li detail_html = requests.get(detail_url).text details.append(detail_html) # 输出每个网站的 html 数据 for detail_html in details: print(detail_html) detail_html = requests.get(detail_url).text #解析数据 detail_selector = parsel.Selector(detail_html) title = detail_selector.css('.b_crumb_cont *:nth-child(3)::text').get() comment = detail_selector.css('.title white::text').get() view_count = detail_selector.css('.view_count::text').get() date = detail_selector.css('#js_mainleft > div.b_foreword > ul > li.f_item.when > p > span.data::text').get() days = detail_selector.css('#js_mainleft > div.b_foreword > ul > li.f_item.howlong > p > span.data::text').get() money = detail_selector.css('#js_mainleft > div.b_foreword > ul > li.f_item.howmuch > p > span.data::text').get() character = detail_selector.css('#js_mainleft > div.b_foreword > ul > li.f_item.who > p > span.data::text').get() play_list = detail_selector.css('#js_mainleft > div.b_foreword > ul > li.f_item.how > p > span.data > span::text').getall() for play in play_list: print(play) print(title, comment, view_count, date, days, money, character, play_list, detail_url) time.sleep(random.randint(3,5))这段代码只能输出最后一个网站的信息 该怎么改

这段代码只能输出最后一个网站的信息是因为在循环中每次请求新的网站信息时都会覆盖前面的信息，需要将每次请求的信息存储到一个列表中，最后再一起处理。

可以尝试如下修改：

selector = parsel.Selector(html_data)
lis = selector.css('.list_item h2 a::attr(href)').getall()
details = []
for li in lis:
    detail_url = 'https://travel.qunar.com' + li
    detail_html = requests.get(detail_url).text
    details.append(detail_html)
    time.sleep(random.randint(3, 5))  # 每次请求后等待一段时间，避免请求频繁被封

for detail_html in details:
    # 解析数据
    detail_selector = parsel.Selector(detail_html)
    title = detail_selector.css('.b_crumb_cont *:nth-child(3)::text').get()
    comment = detail_selector.css('.title.white::text').get()
    view_count = detail_selector.css('.view_count::text').get()
    date = detail_selector.css('#js_mainleft > div.b_foreword > ul > li.f_item.when > p > span.data::text').get()
    days = detail_selector.css('#js_mainleft > div.b_foreword > ul > li.f_item.howlong > p > span.data::text').get()
    money = detail_selector.css('#js_mainleft > div.b_foreword > ul > li.f_item.howmuch > p > span.data::text').get()
    character = detail_selector.css('#js_mainleft > div.b_foreword > ul > li.f_item.who > p > span.data::text').get()
    play_list = detail_selector.css('#js_mainleft > div.b_foreword > ul > li.f_item.how > p > span.data > span::text').getall()
    for play in play_list:
        print(play)
    print(title, comment, view_count, date, days, money, character, play_list, detail_url)

这样每次请求得到的网站信息都会被存储到 `details` 列表中，最后再遍历处理每个网站的信息。同时，为了避免请求频繁被封，可以在每次请求后等待一段时间。

import requests import random import parsel visited_urls = set() # 保存已经访问过的链接 page = 1 while True: # 循环爬取 url = f'https://travel.qunar.com/travelbook/list.htm?page={page}&order=hot_heat' html_data = requests.get(url).text selector = parsel.Selector(html_data) lis = selector.css('.list_item h2 a::attr(href)').getall() # 遍历当前页面中的所有链接 for li in lis: detail_url = 'https://travel.qunar.com' + li if detail_url in visited_urls: # 如果链接已经访问过，则跳过 continue visited_urls.add(detail_url) # 将链接加入集合中 detail_html = requests.get(detail_url).text time.sleep(random.randint(3, 5)) detail_selector = parsel.Selector(detail_html) title = detail_selector.css('.b_crumb_cont *:nth-child(3)::text').get() comment = detail_selector.css('.title.white::text').get() view_count = detail_selector.css('.view_count::text').get() date = detail_selector.css('#js_mainleft > div.b_foreword > ul > li.f_item.when > p > span.data::text').get() days = detail_selector.css('#js_mainleft > div.b_foreword > ul > li.f_item.howlong > p > span.data::text').get() money = detail_selector.css('#js_mainleft > div.b_foreword > ul > li.f_item.howmuch > p > span.data::text').get() character = detail_selector.css('#js_mainleft > div.b_foreword > ul > li.f_item.who > p > span.data::text').get() play_list = detail_selector.css('#js_mainleft > div.b_foreword > ul > li.f_item.how > p > span.data > span::text').getall() for play in play_list: print(play) print(title, comment, view_count, date, days, money, character, play_list, detail_url) time.sleep(random.randint(3, 5)) # 判断是否需要继续爬取 if len(lis) == 0 or page >= 20: break page += 1这段代码怎么将爬取出来的所有数据保存到csv文件

你可以使用 Python 自带的 csv 模块将数据保存到 CSV 文件中。在你的代码中，你可以在循环中将每个页面的数据添加到一个列表中，然后在退出循环后将整个列表保存到 CSV 文件中。以下是修改后的代码：

import requests
import random
import parsel
import csv

visited_urls = set()  # 保存已经访问过的链接
page = 1
data_list = []  # 保存所有数据

while True:  # 循环爬取
    url = f'https://travel.qunar.com/travelbook/list.htm?page={page}&order=hot_heat'
    html_data = requests.get(url).text
    selector = parsel.Selector(html_data)
    lis = selector.css('.list_item h2 a::attr(href)').getall()

    # 遍历当前页面中的所有链接
    for li in lis:
        detail_url = 'https://travel.qunar.com' + li
        if detail_url in visited_urls:  # 如果链接已经访问过，则跳过
            continue
        visited_urls.add(detail_url)  # 将链接加入集合中

        detail_html = requests.get(detail_url).text
        time.sleep(random.randint(3, 5))
        detail_selector = parsel.Selector(detail_html)

        title = detail_selector.css('.b_crumb_cont *:nth-child(3)::text').get()
        comment = detail_selector.css('.title.white::text').get()
        view_count = detail_selector.css('.view_count::text').get()
        date = detail_selector.css('#js_mainleft > div.b_foreword > ul > li.f_item.when > p > span.data::text').get()
        days = detail_selector.css('#js_mainleft > div.b_foreword > ul > li.f_item.howlong > p > span.data::text').get()
        money = detail_selector.css('#js_mainleft > div.b_foreword > ul > li.f_item.howmuch > p > span.data::text').get()
        character = detail_selector.css('#js_mainleft > div.b_foreword > ul > li.f_item.who > p > span.data::text').get()
        play_list = detail_selector.css('#js_mainleft > div.b_foreword > ul > li.f_item.how > p > span.data > span::text').getall()

        # 将当前页面的数据添加到列表中
        data_list.append([title, comment, view_count, date, days, money, character, play_list, detail_url])

        for play in play_list:
            print(play)

        print(title, comment, view_count, date, days, money, character, play_list, detail_url)
        time.sleep(random.randint(3, 5))

    # 判断是否需要继续爬取
    if len(lis) == 0 or page >= 20:
        break
    page += 1

# 将所有数据保存到 CSV 文件中
with open('data.csv', 'w', newline='', encoding='utf-8-sig') as f:
    writer = csv.writer(f)
    writer.writerow(['标题', '评论', '浏览数', '日期', '天数', '花费', '人物', '玩法', '链接'])
    for data in data_list:
        writer.writerow(data)

该代码将数据保存到名为 `data.csv` 的文件中，并在文件中包括标题、评论、浏览数、日期、天数、花费、人物、玩法和链接等信息。