通过来自两个不同列的唯一值汇总 df

Question

say I have the following df:

Origin	Lat	Long	Destination	Lat	Long
A	1	3	B	5	3
A	1	3	C	7	3
B	5	3	A	1	3
B	5	3	C	7	3

I need to get the df in the following shape

Unique Location	Lat	Long
A	1	3
B	5	3
C	7	3

is there a quick way to do that using NumPy/pandas? I was trying to split the data into two dfs and then join them together but it seems to be like inefficient way at all.

Answer 1

Use pd.concat and drop_duplicates :

>>> pd.concat([df.iloc[:, :3].rename(columns={'Origin': 'Unique Location'}),
               df.iloc[:, 3:].rename(columns={'Destination': 'Unique Location'})]) \
      .drop_duplicates().reset_index(drop=True)

  Unique Location  Lat  Long
0               A    1     3
1               B    5     3
2               C    7     3