[英]Pandas Groupby results coming up based on the value_counts and ascending values
highest_medals_countries = olympics_merged.groupby(['Sport'])['Team'].value_counts()
highest_medals_countries.sort_values(ascending = False)[:10]
输出:运动队
Athletics United States 3202
Great Britain 2240
Gymnastics United States 1939
Swimming United States 1622
Gymnastics France 1576
Athletics France 1494
Gymnastics Italy 1345
Swimming Great Britain 1291
Athletics Germany 1254
Gymnastics Hungary 1242
在上面的输出中,我将根据运动获得最多奖牌的团队堆叠在一起,但是当我查看输出时,运动会根据价值计数出现。 我怎样才能摆脱这种情况并将国家放在一起进行田径、体操、游泳等运动?
预期输出为:
Sport Team
Athletics United States 3202
Great Britain 2240
France 1494
Gymnastics United States 1939
France 1576
Italy 1345
Hungary 1242
Swimming United States 1622
Great Britain 1291
Athletics Germany 1254
通过在堆叠的数据帧上运行sort_values
,您可以强制它按值对整个数据帧进行排序,而这些值首先已在类别内排序。 所以不要运行highest_medals_countries.sort_values(ascending = False)[:10]
就没事了。
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