我有以下数据框,并希望将第3列的列转换成行。请帮忙。
objectName.methodname = function_name;
var myObj = {
myMethod: function(params) {
// ...do something
}
// OR THIS WORKS TOO
myOtherMethod(params) {
// ...do something else
}
};
答案 0 :(得分:5)
使用melt
:
df.melt(id_vars=['country','year','perc'])
旧版熊猫:
pd.melt(df, id_vars=['country','year','perc'])
输出:
country year perc variable value
0 IN 2015 hjk data1 75
1 US 2015 KTM data1 100
2 IN 2015 hjk data2 81
3 US 2015 KTM data2 289
4 IN 2015 hjk data3 96
5 US 2015 KTM data3 632
选项#2
df.set_index(['country','year','perc']).stack().reset_index()
输出:
country year perc level_3 0
0 IN 2015 hjk data1 75
1 IN 2015 hjk data2 81
2 IN 2015 hjk data3 96
3 US 2015 KTM data1 100
4 US 2015 KTM data2 289
5 US 2015 KTM data3 632