Pandas 打印输出
如何按“Sex”列交替F,M对该数据帧进行排序Pandas 打印输出,pandas,dataframe,Pandas,Dataframe,如何按“Sex”列交替F,M对该数据帧进行排序 Name Sex Age Height Weight 0 Alfred M 14 69.0 112.5 1 Alice F 13 56.5 84.0 2 Barbara F 13 65.3 98.0 3 Carol F 14 62.8 102.5 4 Henry M 14 63.5 102.5 5 James M 12 57.3
Name Sex Age Height Weight
0 Alfred M 14 69.0 112.5
1 Alice F 13 56.5 84.0
2 Barbara F 13 65.3 98.0
3 Carol F 14 62.8 102.5
4 Henry M 14 63.5 102.5
5 James M 12 57.3 83.0
6 Jane F 12 59.8 84.5
7 Janet F 15 62.5 112.5
8 Jeffrey M 13 62.5 84.0
9 John M 12 59.0 99.5
10 Joyce F 11 51.3 50.5
11 Judy F 14 64.3 90.0
12 Louise F 12 56.3 77.0
13 Mary F 15 66.5 112.0
14 Philip M 16 72.0 150.0
15 Robert M 12 64.8 128.0
16 Ronald M 15 67.0 133.0
17 Thomas M 11 57.5 85.0
18 William M 15 66.5 112.0
目标:交替打印F列和M列。IIUC,尝试以下操作:
(df.assign(sortkey=df.groupby('Sex').cumcount())
.sort_values(['sortkey','Sex'])
.drop('sortkey', axis=1))
输出:
Name Sex Age Height Weight
1 Alice F 13 56.5 84.0
0 Alfred M 14 69.0 112.5
2 Barbara F 13 65.3 98.0
4 Henry M 14 63.5 102.5
3 Carol F 14 62.8 102.5
5 James M 12 57.3 83.0
6 Jane F 12 59.8 84.5
8 Jeffrey M 13 62.5 84.0
7 Janet F 15 62.5 112.5
9 John M 12 59.0 99.5
10 Joyce F 11 51.3 50.5
14 Philip M 16 72.0 150.0
11 Judy F 14 64.3 90.0
15 Robert M 12 64.8 128.0
12 Louise F 12 56.3 77.0
16 Ronald M 15 67.0 133.0
13 Mary F 15 66.5 112.0
17 Thomas M 11 57.5 85.0
18 William M 15 66.5 112.0
我不明白你的问题。请编辑问题并清楚地询问以帮助您。在“性别”列中,F和M交替打印F M F M F F F F F F F F F F F F F F F F F F F F F F F F F F打印,这样他们就可以正确地发布您的代码。看起来一团糟。只有了解您面临的问题,我们才能提供帮助。请将预期结果添加到问题中。酷主意+1…您忘记删除
sortkey
列:p感谢您的提问。是的,我们安全健康。我希望你和你的家人一切都好。@ch3我们都很好。