我将团队名称列为一个数据框中的索引，并希望根据匹配标记为Season和Home的列创建另一个df中的列。结果列将包含该团队中该团队的全部总数。
2012-13 2013-14 2014-15 2015-16 2016-17
Cleveland Cavaliers 1 1 2 1 3
Los Angeles Lakers 2 1 1 1 0
Miami Heat 3 3 2 2 1
Chicago Bulls 2 1 2 2 1
df我想添加到这样的外观
Date Visitor V_PTS Home H_PTS \
0 2012-10-30 19:00:00 Washington Wizards 84 Cleveland Cavaliers 94
1 2012-10-30 19:30:00 Dallas Mavericks 99 Los Angeles Lakers 91
2 2012-10-30 20:00:00 Boston Celtics 107 Miami Heat 120
3 2012-10-31 19:00:00 Dallas Mavericks 94 Utah Jazz 113
Attendance Arena Location Capacity \
0 20562 Quicken Loans Arena Cleveland, Ohio 20562
1 18997 Staples Center Los Angeles, California 18997
2 20296 American Airlines Arena Miami, Florida 19600
3 17634 Vivint Smart Home Arena Salt Lake City, Utah 18303
Yr Arena Opened Season
0 1994 2012-13
1 1992 2012-13
2 1999 2012-13
3 1991 2012-13
不太熟悉内部/外部联接，这似乎是我一直在寻找如何解决这个问题
一直在尝试使用这样的代码，但我只是试图让它获得一个专栏所说的H_Allstars和V_Allstars列并未列出所有这些列。
allstar = pd.merge(nba, allstar_df, right_index = True, left_on=['Home'])
Date Visitor V_PTS Home H_PTS \
0 2012-10-30 19:00:00 Washington Wizards 84 Cleveland Cavaliers 94
1 2012-11-02 19:30:00 Chicago Bulls 115 Cleveland Cavaliers 86
2 2012-11-17 19:30:00 Dallas Mavericks 103 Cleveland Cavaliers 95
3 2012-11-21 19:00:00 Philadelphia 76ers 83 Cleveland Cavaliers 92
4 2012-11-27 19:00:00 Phoenix Suns 91 Cleveland Cavaliers 78
Attendance Arena Location Capacity Yr Arena Opened \
0 20562 Quicken Loans Arena Cleveland, Ohio 20562 1994
1 20562 Quicken Loans Arena Cleveland, Ohio 20562 1994
2 18633 Quicken Loans Arena Cleveland, Ohio 20562 1994
3 16743 Quicken Loans Arena Cleveland, Ohio 20562 1994
4 13687 Quicken Loans Arena Cleveland, Ohio 20562 1994
Season 2012-13 2013-14 2014-15 2015-16 2016-17
0 2012-13 1 1 2 1 3
1 2012-13 1 1 2 1 3
2 2012-13 1 1 2 1 3
3 2012-13 1 1 2 1 3
4 2012-13 1 1 2 1 3