Python到CSV或Excel导出多表数据

嘿，伙计们，我尝试将数据写入csv文件/excel

问题是Excel文件无法正常工作，csv文件只显示“Element div at xx.xxx.xx”等。我不希望逐行填写正确的产品和价格。我更喜欢Excel。大约1000件产品将被报废

测试代码是否有效的标准代码：

from lxml import html
import requests


urls = ['http://whiskey.de/shop/Aktuell/']

for url in urls:
    for number in range(1, 15):
        page_url = url + str(number) if number > 1 else url
        page = requests.get(page_url)

        tree = html.fromstring(page.text)

        prices = tree.cssselect('div#content div.price')
        names = tree.cssselect('div#content div.title a')

        print 'Whiskey Preis: ', [price.text for price in prices]
        print 'Whiskey Names: ', [name.text for name in names]

from lxml import html
import requests
import csv



urls = ['http://whiskey.de/shop/Schottland/']

for url in urls:
    for number in range(1, 10):
        page_url = url + str(number) if number > 1 else url
        page = requests.get(page_url)

        tree = html.fromstring(page.text)

        prices = tree.cssselect('div#content div.price')
        names = tree.cssselect('div#content div.title a')

with open('whiskey_test.csv', 'w') as csvfile:
    fieldnames = ['Preise', 'Namen']
    writer = csv.DictWriter(csvfile, fieldnames=fieldnames)

    writer.writeheader()
    writer.writerow({'Preise': prices, 'Namen': names})

CSV测试：

from lxml import html
import requests


urls = ['http://whiskey.de/shop/Aktuell/']

for url in urls:
    for number in range(1, 15):
        page_url = url + str(number) if number > 1 else url
        page = requests.get(page_url)

        tree = html.fromstring(page.text)

        prices = tree.cssselect('div#content div.price')
        names = tree.cssselect('div#content div.title a')

        print 'Whiskey Preis: ', [price.text for price in prices]
        print 'Whiskey Names: ', [name.text for name in names]

from lxml import html
import requests
import csv



urls = ['http://whiskey.de/shop/Schottland/']

for url in urls:
    for number in range(1, 10):
        page_url = url + str(number) if number > 1 else url
        page = requests.get(page_url)

        tree = html.fromstring(page.text)

        prices = tree.cssselect('div#content div.price')
        names = tree.cssselect('div#content div.title a')

with open('whiskey_test.csv', 'w') as csvfile:
    fieldnames = ['Preise', 'Namen']
    writer = csv.DictWriter(csvfile, fieldnames=fieldnames)

    writer.writeheader()
    writer.writerow({'Preise': prices, 'Namen': names})

---

这里有几个问题

获取标记（div）文本，而不是只写标记元素本身 在“标准代码”中，您可以通过调用所选元素的.text来“正确”执行此操作

print 'Whiskey Preis: ', [price.text for price in prices]
print 'Whiskey Names: ', [name.text for name in names]

在这里

writer.writerow({'Preise': prices, 'Namen': names})

将树元素本身写入fuile。所以这应该是

writer.writerow({'Preise': prices.text, 'Namen': names.text})

然而

不写几行 假设您有一个包含价格/名称对的数据结构（如元组列表或字典），那么您可以在DictWriter中重复它，这样写一行新行：

for price, name in in productdictionary.items():
    writer.writerow({'Preis': price.text, 'Name': name.text})

创建适当的数据结构，将价格映射到名称 现在，我不认为我们应该为您完成所有的刮取工作：）但是基本上您希望使用您的树来获取相应的price和name元素对。一旦你得到了它们，你就把它们放到字典或元组列表中。

---

一旦你得到它，你只需重复它来写你的csv，如上图所示。

你能举一个例子说明

prices

和

names

的样子吗？您可能需要访问属性

text

或类似的内容，以获取所选内容的实际内容。