Panda DataFrame重塑

Question

获得以下DataFrame：

                Body Weight (KG) Exercise 1  Weight (KG)   Exercise 2  \
Date                                                              
17/07/17              77.9      Squat             20.0     Bench Press   

                Weight (KG).1   Exercise 3  Weight (KG).2  
Date                                                 
17/07/17           20.0         Barbell Row           30.0  

尝试重塑整洁的格式：

Date      Body Weight Exercise     Weight
17/07/17  77.9        Squat        20.0
17/07/17  77.9        Bench Press  20.0
17/07/17  77.9        Barbell Row  30.0

尝试使用融合功能

pd.melt(df,value_vars=["Exercise 1","Exercise 2","Exercise 3"])

导致：

   variable        value
0  Exercise 1      Squat
1  Exercise 2      Bench Press
2  Exercise 3      Barbell Row

如何让权重和其他列“排列”正确的日期和练习？

Answer 1

您可以先Body Weight (KG)将MultiIndex列添加到DataFrame，然后通过重复index值来调用Notice构造函数。

Exercise - 首先需要在所有列中配对Weight和df = df.set_index('Body Weight (KG)', append=True) a = len(df.index) b = int(len(df.columns) / 2) df = pd.DataFrame(df.values.reshape(a * b ,2), index=df.index.repeat(b), columns=['Exercise', 'Weight']).reset_index() print (df) Date Body Weight (KG) Exercise Weight 0 17/07/17 77.9 Squat 20 1 17/07/17 77.9 Bench Press 20 2 17/07/17 77.9 Barbell Row 30

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