Question

我正在尝试找到一个相对Xpath（非绝对Xpath），它允许我从这个URL中提取数据：https://www.sec.gov/Archives/edgar/data/1000228/000100022810000006/the10k_2009.htm

我的代码如下。 SalesB返回一个值（'233,715'），但SalesA返回空。我做错了什么？

   lapply(df_list,transform,month=mymonths[month])
[[1]]
  month val
1   JAN   1
2   FEB   2
3   MAR   5

[[2]]
  month val
1   JAN   1
2   FEB   2
3   MAR   5
4   APR   6
5   MAY   8

creating a new variable: 

        lapply(df_list,transform,newcolumn=mymonths[month])
    [[1]]
      month val newcolumn
    1     1   1       JAN
    2     2   2       FEB
    3     3   5       MAR

    [[2]]
      month val newcolumn
    1     1   1       JAN
    2     2   2       FEB
    3     3   5       MAR
    4     4   6       APR
    5     5   8       MAY

SalesB返回下面显示的值，可以通过SEC_pageA变量找到（参见https://www.sec.gov/Archives/edgar/data/320193/000119312515356351/d17062d10k.htm）。

我希望SalesA返回“净销售额”数字，如下所示（即6,538,336），可在此处找到：https://www.sec.gov/Archives/edgar/data/1000228/000100022810000006/the10k_2009.htm

Answer 1

因为某些文字不在一行中，因为xpath找不到你真正想要的东西。

from lxml import html
import requests

xpath_a = """
//*[text()[contains(., "CONSOLIDATED
      STATEMENTS OF INCOME")]]/following::td[contains(., "Net
      sales")][1]/following-sibling::td[@valign="bottom"][3]//text()
      """

SEC_pageA = requests.get('https://www.sec.gov/Archives/edgar/data/1000228/000100022810000006/the10k_2009.htm')
SEC_treeA = html.fromstring(SEC_pageA.content)
SalesA = SEC_treeA.xpath(xpath_a)

print(SalesA)

打印

['6,538,336']

使用Python中的相对XPath访问表值

1 个答案: