Python pandas如何将多行合并为一个？

Question

I have A dataframe as below:

Car        SeriesNo     White       Red        Black
Proton     A111           2       
Proton     A111                      4
Proton     A111                                  5

My Expected output will be:

Car        SeriesNo     White       Red        Black
Proton     A111           2          4           5

Anyone have ideas on this?

Answer 1

Use GroupBy.first for get first non missing values per groups:

#if necessary replace empty strings to missing values
#df = df.replace('',np.nan)
df = df.groupby(['Car','SeriesNo'], as_index=False).first()
print (df)
      Car SeriesNo  White  Red  Black
0  Proton     A111    2.0  4.0    5.0