确定在每届奥运会上哪个国家赢得最多金牌答案

【问题标题】：Identify which country won the most gold, in each olympic games确定在每届奥运会上哪个国家赢得最多金牌
【发布时间】：2022-11-10 15:52:28
【问题描述】：

当我在熊猫中编写以下代码时

gold.groupby(['Games','country'])['Medal'].value_counts()

我得到以下结果，如何提取每场比赛的最高奖牌获得者，结果应该是所有比赛，奖牌最多的国家，奖牌总数

Games        country     Medal
1896 Summer  Australia   Gold       2
             Austria     Gold       2
             Denmark     Gold       1
             France      Gold       5
             Germany     Gold      25
                                 ... 
2016 Summer  UK          Gold      64
             USA         Gold     139
             Ukraine     Gold       2
             Uzbekistan  Gold       4
             Vietnam     Gold       1
Name: Medal, Length: 1101, dtype: int64


    ID  Name    Sex Age Height  Weight  Team    NOC Games   Year    Season  City    Sport   Event   Medal   country notes
68  17294   Cai Yalin   M   23.0    174.0   60.0    China   CHN 2000 Summer 2000    Summer  Sydney  Shooting    Shooting Men's Air Rifle, 10 metres Gold    China   NaN
77  17299   Cai Yun M   32.0    181.0   68.0    China-1 CHN 2012 Summer 2012    Summer  London  Badminton   Badminton Men's Doubles Gold    China   NaN
87  17995   Cao Lei F   24.0    168.0   75.0    China   CHN 2008 Summer 2008    Summer  Beijing Weightlifting   Weightlifting Women's Heavyweight   Gold    China   NaN
104 18005   Cao Yuan    M   17.0    160.0   42.0    China   CHN 2012 Summer 2012    Summer  London  Diving  Diving Men's Synchronized Platform  Gold    China   NaN
105 18005   Cao Yuan    M   21.0    160.0   42.0    China   CHN 2016 Summer 2016    Summer  Rio de Janeiro  Diving  Diving Men's Springboard    Gold    China   NaN

【问题讨论】：

给出一个示例数据框，最好是在此处轻松加载的文本格式。

标签： python pandas

【解决方案1】：

数据你的数据只包括中国金牌得主，所以我加了一行：

  ID             Name Sex   Age  Height  Weight     Team  NOC  
0   17294        Cai Yalin   M  23.0   174.0    60.0    China  CHN   
1   17299          Cai Yun   M  32.0   181.0    68.0  China-1  CHN   
2   17995          Cao Lei   F  24.0   168.0    75.0    China  CHN   
3   18005         Cao Yuan   M  17.0   160.0    42.0    China  CHN   
4   18005         Cao Yuan   M  21.0   160.0    42.0    China  CHN   
5  292929  Serge de Gosson   M  52.0   178.0    69.0   France   FR   

         Games  Year  Season            City          Sport  
0  2000 Summer  2000  Summer          Sydney       Shooting   
1  2012 Summer  2012  Summer          London      Badminton   
2  2008 Summer  2008  Summer         Beijing  Weightlifting   
3  2012 Summer  2012  Summer          London         Diving   
4  2016 Summer  2016  Summer  Rio de Janeiro         Diving   
5  2022 Summer  2022  Summer       Stockholm   Calisthenics   

                                 Event Medal country  notes  
0  Shooting Men's Air Rifle, 10 metres  Gold   China    NaN  
1              Badminton Men's Doubles  Gold   China    NaN  
2    Weightlifting Women's Heavyweight  Gold   China    NaN  
3   Diving Men's Synchronized Platform  Gold   China    NaN  
4             Diving Men's Springboard  Gold   China    NaN  
5                              Planche  Gold  France    NaN

您想要准确地定义您所做的，但对数据进行排序并保留第一行：

gold.groupby(['Games','country'])['Medal'].value_counts().groupby(level=0, group_keys=False).head(1)

Games        country  Medal
2000 Summer  China    Gold     1
2008 Summer  China    Gold     1
2012 Summer  China    Gold     2
2016 Summer  China    Gold     1
2022 Summer  France   Gold     1
Name: Medal, dtype: int64

或作为数据框：

GOLD_TOP = pd.DataFrame(gold.groupby(['Games','country'])['Medal'].value_counts().groupby(level=0, group_keys=False).head(1))

【讨论】：

【解决方案2】：

df_gold = df[df["Medal"]=="Gold"].groupby("Team").Medal.count().reset_index()
df_gold = df_gold.sort_values(by="Medal",ascending=False)[:8]
df_gold

【讨论】：