python - 如何使用panda for python同时附加多个列

Question

我目前正在使用 python 在网络上抓取每个 NBA 球员的三分统计数据，并试图将这些数据放入数据框中。下面的代码是我尝试将值添加到数据框中。变量 player、teams、threePointAttempts 和 threePointPercentage 都是包含 50 个值的列表。由于脚本会在 NBA 网站的每个页面中移动，因此在每次 while 循环迭代后都会重新填充这些内容。

while i<10:
soup = BeautifulSoup(d.page_source, 'html.parser').find('table')
headers, [_, *data] = [i.text for i in soup.find_all('th')], [[i.text for i in b.find_all('td')] for b in soup.find_all('tr')]
final_data = [i for i in data if len(i) > 1]

data_attrs = [dict(zip(headers, i)) for i in final_data]
print(data_attrs)

players = [i['PLAYER'] for i in data_attrs]
teams = [i['TEAM'] for i in data_attrs]
threePointAttempts = [i['3PA'] for i in data_attrs]
threePointPercentage = [i['3P%'] for i in data_attrs]


data_df = data_df.append(pd.DataFrame(players, columns=['Player']),ignore_index=True)
data_df = data_df.append(pd.DataFrame(teams, columns=['Team']),ignore_index=True)
data_df = data_df.append(pd.DataFrame(threePointAttempts, columns=['3PA']),ignore_index=True)
data_df = data_df.append(pd.DataFrame(threePointPercentage, columns=['3P%']),ignore_index=True)
data_df = data_df[['Player','Team','3PA','3P%']]

我遇到的问题是数据框填充如下：

First columnSecond columnThird column

Answer 1

试试：

temp_df = pd.DataFrame({'Player': players,
                        'Team': teams,
                        '3PA': threePointAttempts,
                        '3P%': threePointPercentage})

data_df = data_df.append(temp_df, ignore_index=True)