我正在试图从硬币目录中删除数据。
有one of the pages。我需要将this data刮到Dataframe
中到目前为止，我有这段代码：
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并导出到excel时，它只包含最后一个值：
0
0
1
2 1896
3
4 174,000
5 UNC
6 —
答案 0 :(得分：8)
试试这个
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", ...])
答案 1 :(得分：4)
尝试：
import pandas as pd
from bs4 import BeautifulSoup
soup = BeautifulSoup(html, "html.parser")
table = soup.find('table', attrs={'class':'subs noBorders evenRows'})
table_rows = table.find_all('tr')
res = []
for tr in table_rows:
td = tr.find_all('td')
row = [tr.text.strip() for tr in td if tr.text.strip()]
if row:
res.append(row)
df = pd.DataFrame(res, columns=["Year", "Mintage", "Quality", "Price"])
print(df)
<强>输出：
Year Mintage Quality Price
0 1882 108,000 UNC —
1 1883 786,000 UNC ~ $4.03
答案 2 :(得分：0)
只需抬起头... Rakesh代码的这一部分意味着，只有包含文本的HTML行将被包含在数据框中，因为如果row为空列表，则行不会被追加：
if row:
res.append(row)
在我的用例中很麻烦，以后我想比较HTML和dataframe表的行索引。我只需要将其更改为：
res.append(row)
但是，否则它对我有用。谢谢：）
答案 3 :(得分：0)
Pandas已经具有一个内置方法，可将Web上的表转换为数据框：
table = soup.find_all('table')[0]
df = pd.read_html(str(table))