You can use combine_first
or fillna
:
print df['feedback_id'].combine_first(df['_id'])
0 568a8c25cac4991645c287ac
1 568df45b177e30c6487d3603
2 568df434832b090048f34974
3 568cd22e9e82dfc166d7dff1
4 568df3f0832b090048f34711
5 568e5a38b4a797c664143dda
Name: feedback_id, dtype: object
print df['feedback_id'].fillna(df['_id'])
0 568a8c25cac4991645c287ac
1 568df45b177e30c6487d3603
2 568df434832b090048f34974
3 568cd22e9e82dfc166d7dff1
4 568df3f0832b090048f34711
5 568e5a38b4a797c664143dda
Name: feedback_id, dtype: object