pandas - 使用BeautifulSoup将表刮入数据框

我正在尝试从硬币目录中抓取数据。

有one of the pages。我需要将this data刮到Dataframe中

到目前为止，我有以下代码:

import bs4 as bs
import urllib.request
import pandas as pd

source = urllib.request.urlopen('http://www.gcoins.net/en/catalog/view/45518').read()
soup = bs.BeautifulSoup(source,'lxml')

table = soup.find('table', attrs={'class':'subs noBorders evenRows'})
table_rows = table.find_all('tr')

for tr in table_rows:
    td = tr.find_all('td')
    row = [tr.text for tr in td]
    print(row)                    # I need to save this data instead of printing it

它产生以下输出:

[]
['', '', '1882', '', '108,000', 'UNC', '—']
[' ', '', '1883', '', '786,000', 'UNC', '~ $3.99']
[' ', " \n\n\n\n\t\t\t\t\t\t\t$('subGraph55337').on('click', function(event) {\n\t\t\t\t\t\t\t\tLightview.show({\n\t\t\t\t\t\t\t\t\thref : '/en/catalog/ajax/subgraph?id=55337',\n\t\t\t\t\t\t\t\t\trel : 'ajax',\n\t\t\t\t\t\t\t\t\toptions : {\n\t\t\t\t\t\t\t\t\t\tautosize : true,\n\t\t\t\t\t\t\t\t\t\ttopclose : true,\n\t\t\t\t\t\t\t\t\t\tajax : {\n\t\t\t\t\t\t\t\t\t\t\tevalScripts : true\n\t\t\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t\t\t} \n\t\t\t\t\t\t\t\t});\n\t\t\t\t\t\t\t\tevent.stop();\n\t\t\t\t\t\t\t\treturn false;\n\t\t\t\t\t\t\t});\n\t\t\t\t\t\t", '1884', '', '4,604,000', 'UNC', '~ $2.08–$4.47']
[' ', '', '1885', '', '1,314,000', 'UNC', '~ $3.20']
['', '', '1886', '', '444,000', 'UNC', '—']
[' ', '', '1888', '', '413,000', 'UNC', '~ $2.88']
[' ', '', '1889', '', '568,000', 'UNC', '~ $2.56']
[' ', " \n\n\n\n\t\t\t\t\t\t\t$('subGraph55342').on('click', function(event) {\n\t\t\t\t\t\t\t\tLightview.show({\n\t\t\t\t\t\t\t\t\thref : '/en/catalog/ajax/subgraph?id=55342',\n\t\t\t\t\t\t\t\t\trel : 'ajax',\n\t\t\t\t\t\t\t\t\toptions : {\n\t\t\t\t\t\t\t\t\t\tautosize : true,\n\t\t\t\t\t\t\t\t\t\ttopclose : true,\n\t\t\t\t\t\t\t\t\t\tajax : {\n\t\t\t\t\t\t\t\t\t\t\tevalScripts : true\n\t\t\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t\t\t} \n\t\t\t\t\t\t\t\t});\n\t\t\t\t\t\t\t\tevent.stop();\n\t\t\t\t\t\t\t\treturn false;\n\t\t\t\t\t\t\t});\n\t\t\t\t\t\t", '1890', '', '2,137,000', 'UNC', '~ $1.28–$4.79']
['', '', '1891', '', '605,000', 'UNC', '—']
[' ', '', '1892', '', '205,000', 'UNC', '~ $4.47']
[' ', '', '1893', '', '754,000', 'UNC', '~ $4.79']
[' ', '', '1894', '', '532,000', 'UNC', '~ $3.20']
[' ', '', '1895', '', '423,000', 'UNC', '~ $2.40']
['', '', '1896', '', '174,000', 'UNC', '—']

但是，当我尝试将其保存到Dataframe并导出为ex​​cel时，它仅包含最后一个值:

         0
0
1
2     1896
3
4  174,000
5      UNC
6        —

最佳答案

尝试这个

l = []
for tr in table_rows:
    td = tr.find_all('td')
    row = [tr.text for tr in td]
    l.append(row)
pd.DataFrame(l, columns=["A", "B", ...])