python - 如何从列表中的表行中获取表头和表数据？

Question

我试图将表行中的所有数据放入一个列表中，但其中一些是表头，一些是表数据，不确定如何获取它们。

这是使用 bs4 的 Python 3.7

import requests, bs4

url = 'https://www.basketball-reference.com/players/a/abrinal01.html'
res = requests.get(url)
res.raise_for_status()

soup = bs4.BeautifulSoup(res.text, 'html.parser')
elems = soup.select('#per_game')

table = soup.find("table", { "id" : "per_game" })
table_rows = table.find_all('tr')

for tr in table_rows:
    td = tr.find_all('td')
    row = [i.text for i in td]
    print(row)

我可以将所有表数据放入一个列表中，因此第一列右侧的所有内容，但不是第一列本身的数据。

Answer 1

要在数据中包含 header ，您可以将 find_all('td') 的输出与 find_all('th') 结合起来。这是你想要的吗？

import requests, bs4

url = 'https://www.basketball-reference.com/players/a/abrinal01.html'
res = requests.get(url)
res.raise_for_status()

soup = bs4.BeautifulSoup(res.text, 'html.parser')
elems = soup.select('#per_game')

table = soup.find("table", { "id" : "per_game" })
table_rows = table.find_all('tr')

for tr in table_rows:
    td = tr.find_all('th') + tr.find_all('td')
    row = [i.text for i in td]
    print(row)

产生此输出:

['Season', 'Age', 'Tm', 'Lg', 'Pos', 'G', 'GS', 'MP', 'FG', 'FGA', 'FG%', '3P', '3PA', '3P%', '2P', '2PA', '2P%', 'eFG%', 'FT', 'FTA', 'FT%', 'ORB', 'DRB', 'TRB', 'AST', 'STL', 'BLK', 'TOV', 'PF', 'PTS']
['2016-17', '23', 'OKC', 'NBA', 'SG', '68', '6', '15.5', '2.0', '5.0', '.393', '1.4', '3.6', '.381', '0.6', '1.4', '.426', '.531', '0.6', '0.7', '.898', '0.3', '1.0', '1.3', '0.6', '0.5', '0.1', '0.5', '1.7', '6.0']
['2017-18', '24', 'OKC', 'NBA', 'SG', '75', '8', '15.1', '1.5', '3.9', '.395', '1.1', '2.9', '.380', '0.4', '0.9', '.443', '.540', '0.5', '0.6', '.848', '0.3', '1.2', '1.5', '0.4', '0.5', '0.1', '0.3', '1.7', '4.7']
['2018-19', '25', 'OKC', 'NBA', 'SG', '31', '2', '19.0', '1.8', '5.1', '.357', '1.3', '4.1', '.323', '0.5', '1.0', '.500', '.487', '0.4', '0.4', '.923', '0.2', '1.4', '1.5', '0.6', '0.5', '0.2', '0.5', '1.7', '5.3']
['Career', '', '', 'NBA', '', '174', '16', '16.0', '1.8', '4.5', '.387', '1.3', '3.4', '.368', '0.5', '1.1', '.443', '.525', '0.5', '0.6', '.880', '0.3', '1.1', '1.4', '0.5', '0.5', '0.1', '0.4', '1.7', '5.3']