How do you add the post-transformed pole to the originalram?

[fbio]

There's an original data fream:

	Name	November	December	February
0	Alexei.	15	10	15
1	Alexei.	10	10	10
2	Andrei	Empty	Empty	Empty
3	Andrei	15	25	15
4	Alexei.	15	15	10
5	Andrei	25	10	45

For further change pd.drop Some lines were removed and a new column was received.

Capital idx contains the original values of the indices:

	Name	November	December	February	num	idx
0	Alexei.	15	10	15	November	0
1	Alexei.	10	10	10	November	1
2	Andrei	15	25	15	February	3
3	Alexei.	15	15	10	November	4
4	Andrei	25	10	45	February	5

How am I supposed to add a new column to the original data framing?

	Name	November	December	February	num
0	Alexei.	15	10	15	November
1	Alexei.	10	10	10	November
2	Andrei	Empty	Empty	Empty
3	Andrei	15	25	15	February
4	Alexei.	15	15	10	November
5	Andrei	25	10	45	February

[Cleofas]

Use the method. https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.join.html :

res = df1.join(df2.set_index("idx")[["num"]])

result:

In [140]: res
Out[140]:
      Name Ноябрь Декабрь Февраль      num
0  Алексей     15      10      15   Ноябрь
1  Алексей     10      10      10   Ноябрь
2   Андрей  Empty   Empty   Empty      NaN
3   Андрей     15      25      15  Февраль
4  Алексей     15      15      10   Ноябрь
5   Андрей     25      10      45  Февраль