我有一个来自网络爬虫的列表，它在垂直列表中创建了一个日志文件。
示例:
21-Oct-19 14:46:14 - Retrieving data from https://www.finn.no/bap/forsale/search.html?category=0.93&page=1&product_category=2.93.3904.69&sub_category=1.93.3904
0 21-Oct-19 14:46:14 - Found:
1 Title: Nesten ubrukt Canon 17-40 mm vidvinkell...
2 Price: 4�900 kr
3 Link: https://www.finn.no/bap/forsale/ad.html?...
4 21-Oct-19 14:46:14 - Found:
5 Title: Nesten ubrukt Canon 17-40 mm vidvinkell...
6 Price: 4�900 kr
7 Link: https://www.finn.no/bap/forsale/ad.html?...
8 21-Oct-19 14:46:14 - Found:
9 Title: Nesten ubrukt Canon 17-40 mm vidvinkell...
10 Price: 4�900 kr
11 Link: https://www.finn.no/bap/forsale/ad.html?...
12 21-Oct-19 14:46:14 - Found:
13 Title: Nesten ubrukt Canon 17-40 mm vidvinkell...
我可以将其转换为 Pandas 的可读数据帧吗？
示例:
title price link
canon 100mm 6900kr https
canon 50mm 100r https
canon 17mm 63530kr https
我的代码现在看起来像这样:
import pandas as pd
data = pd.read_csv('finn.no-2019-10-21-.log', sep ="Line", engine='python')
df = pd.DataFrame(data)
title = 1,5,9,13,17,21
price = 2,6,10,14,18,22
link = 3,7,11,15,19,23
print(df)
我可以对原始行中的数字进行任何操作以转换为更传统的数据帧吗？
最佳答案
这应该适合你:
with open('finn.no-2019-10-21-.log') as f:
lines = f.readlines()
clean = [line.strip() for line in lines]
title = [j.split('Title: ')[1] for j in clean if j.startswith('Title: ')]
price = [k.split('Price: ')[1] for k in clean if k.startswith('Price: ')]
link = [l.split('Link: ')[1] for l in clean if l.startswith('Link: ')]
df = pd.DataFrame(data=[title, price, link], columns=['Title', 'Price', 'Link'])
关于python - 如何将垂直列表转换为panda dataframe？，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/58499424/