如何根据列表值创建修改后的 dataframe？

Question

Consider a dataframe df of the following structure:-

Name    Slide          Height      Weight       Status       General
A           X             3            0.1             0.5       0.2
B           Y            10            0.2             0.7       0.8
    ...

I would like to create duplicates for each row in this dataframe (specific to the Name and Slide ) for the following combinations of Height and Weight shown by this list:-

 list_combinations =  [[3,0.1],[10,0.2],[5,1.3]]

The desired output:-

Name    Slide          Height      Weight       Status       General
A           X             3            0.1             0.5       0.2 #original 
A           X             10           0.2             0.5       0.2 # modified duplicate
A           X             5            1.3             0.5       0.2 # modified duplicate
B           Y            10            0.2             0.7       0.8 #original 
B           Y             3            0.1             0.7       0.8 # modified duplicate
B           Y             5            1.3             0.7       0.8 # modified duplicate
  etc.  ...

Any suggestions and help would be much appreciated.

Answer 1

We can do merge with cross

out = pd.DataFrame(list_combinations,columns = ['Height','Weight']).\
          merge(df,how='cross',suffixes = ('','_')).\         
               reindex(columns=df.columns).sort_values('Name')
  Name Slide  Height  Weight  Status  General
0    A     X       3     0.1     0.5      0.2
2    A     X      10     0.2     0.5      0.2
4    A     X       5     1.3     0.5      0.2
1    B     Y       3     0.1     0.7      0.8
3    B     Y      10     0.2     0.7      0.8
5    B     Y       5     1.3     0.7      0.8