[英]Pivot/inverse Pandas Dataframe using key pairs
I have this dataframe that I would like to flip我有这个我想翻转的数据框
M1 M2 M3
John 0.10 0.74 0.25
Alex 0.80 0.15 0.05
I would like to convert it to this format:我想将其转换为这种格式:
M value
John M1 0.10
John M2 0.74
John M3 0.25
Alex M1 0.80
Alex M2 0.15
Alex M3 0.05
If there an efficient way to do this?如果有有效的方法来做到这一点?
Based on the comment, read more about pd.melt
and you will love to use it when you are pivoting the dataframe.根据评论,阅读有关
pd.melt
的更多信息,您会喜欢在旋转数据框时使用它。
As you are keeping the index while pivoting the three columns of M
, you can do a pd.melt
first and then do sort_index
.当您在旋转
M
的三列时保留索引时,您可以先执行pd.melt
,然后执行sort_index
。
df.melt(value_vars = df.columns, var_name='M', ignore_index=False).sort_index(ascending=False)
Out[62]:
M value
John M1 0.10
John M2 0.74
John M3 0.25
Alex M1 0.80
Alex M2 0.15
Alex M3 0.05
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