Pandas 需要以下查询的帮助吗
我得到了这个错误: 标记数据时出错。C错误:saw 3第11行中应有2个字段 代码:导入webbrowser 网站=“” webbrowser.open(网站) 接下来是上面提到的内容。我相信您需要使用-返回所有解析的表并按位置选择Dataframe:Pandas 需要以下查询的帮助吗,pandas,Pandas,我得到了这个错误: 标记数据时出错。C错误:saw 3第11行中应有2个字段 代码:导入webbrowser 网站=“” webbrowser.open(网站) 接下来是上面提到的内容。我相信您需要使用-返回所有解析的表并按位置选择Dataframe: website = 'https://en.wikipedia.org/wiki/Winning_percentage' #select first parsed table df1 = pd.read_html(website)[0] prin
website = 'https://en.wikipedia.org/wiki/Winning_percentage'
#select first parsed table
df1 = pd.read_html(website)[0]
print (df1.head())
Win % Wins Losses Year Team Comment
0 0.798 67 17 1882 Chicago White Stockings best pre-modern season
1 0.763 116 36 1906 Chicago Cubs best 154-game NL season
2 0.721 111 43 1954 Cleveland Indians best 154-game AL season
3 0.716 116 46 2001 Seattle Mariners best 162-game AL season
4 0.667 108 54 1975 Cincinnati Reds best 162-game NL season
#select second parsed table
df2 = pd.read_html(website)[1]
print (df2)
Win % Wins Losses Season Team \
0 0.890 73 9 2015–16 Golden State Warriors
1 0.110 9 73 1972–73 Philadelphia 76ers
2 0.106 7 59 2011–12 Charlotte Bobcats
Comment
0 best 82 game season
1 worst 82-game season
2 worst season statistically
我的解决方案如何工作?
website = 'https://en.wikipedia.org/wiki/Winning_percentage'
#select first parsed table
df1 = pd.read_html(website)[0]
print (df1.head())
Win % Wins Losses Year Team Comment
0 0.798 67 17 1882 Chicago White Stockings best pre-modern season
1 0.763 116 36 1906 Chicago Cubs best 154-game NL season
2 0.721 111 43 1954 Cleveland Indians best 154-game AL season
3 0.716 116 46 2001 Seattle Mariners best 162-game AL season
4 0.667 108 54 1975 Cincinnati Reds best 162-game NL season
#select second parsed table
df2 = pd.read_html(website)[1]
print (df2)
Win % Wins Losses Season Team \
0 0.890 73 9 2015–16 Golden State Warriors
1 0.110 9 73 1972–73 Philadelphia 76ers
2 0.106 7 59 2011–12 Charlotte Bobcats
Comment
0 best 82 game season
1 worst 82-game season
2 worst season statistically