Pandas: How can I merge two dataframes? [on hold]











up vote
2
down vote

favorite
1












I found (How do I merge two data frames in Python Pandas?), but do not get the expected result.



I have these two CSV files:



# f1.csv

num   ano

76971  1975

76969  1975

76968  1975

76966  1975

76964  1975

76963  1975

76960  1975


and



# f2.csv

num   ano   dou  url

76971  1975 p1   http://exemplo.com/page1

76968  1975 p2   http://exemplo.com/page10

76966  1975 p2   http://exemplo.com/page100


How do I merge these for to get the result given below?



# Expected result

num   ano   dou  url

76971  1975 p1   http://exemplo.com/page1

76969  1975

76968  1975 p2   http://exemplo.com/page10

76966  1975 p2   http://exemplo.com/page100

76964  1975

76963  1975

76960  1975





pandas







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britodfbr is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.











put on hold as off-topic by Stephen Rauch, Siong Thye Goh, n1k31t4, Sean Owen♦ yesterday


This question appears to be off-topic. The users who voted to close gave this specific reason:


  • "This question does not appear to be about data science, within the scope defined in the help center." – Stephen Rauch, Siong Thye Goh, n1k31t4, Sean Owen

If this question can be reworded to fit the rules in the help center, please edit the question.













  • There are many example on StackOverflow
    – Aditya
    2 days ago












  • @Aditya, no how i need. And i newer...
    – britodfbr
    2 days ago










  • What do you mean by "but not assert expected result"? Can you elaborate?
    – Peter Mortensen
    2 days ago










  • Down vote because this is a trivial question. See SO for numerous posts similar to this.
    – Jon
    2 days ago















up vote
2
down vote

favorite
1












I found (How do I merge two data frames in Python Pandas?), but do not get the expected result.



I have these two CSV files:



# f1.csv

num   ano

76971  1975

76969  1975

76968  1975

76966  1975

76964  1975

76963  1975

76960  1975


and



# f2.csv

num   ano   dou  url

76971  1975 p1   http://exemplo.com/page1

76968  1975 p2   http://exemplo.com/page10

76966  1975 p2   http://exemplo.com/page100


How do I merge these for to get the result given below?



# Expected result

num   ano   dou  url

76971  1975 p1   http://exemplo.com/page1

76969  1975

76968  1975 p2   http://exemplo.com/page10

76966  1975 p2   http://exemplo.com/page100

76964  1975

76963  1975

76960  1975





pandas







share|improve this question









New contributor




britodfbr is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.











put on hold as off-topic by Stephen Rauch, Siong Thye Goh, n1k31t4, Sean Owen♦ yesterday


This question appears to be off-topic. The users who voted to close gave this specific reason:


  • "This question does not appear to be about data science, within the scope defined in the help center." – Stephen Rauch, Siong Thye Goh, n1k31t4, Sean Owen

If this question can be reworded to fit the rules in the help center, please edit the question.













  • There are many example on StackOverflow
    – Aditya
    2 days ago












  • @Aditya, no how i need. And i newer...
    – britodfbr
    2 days ago










  • What do you mean by "but not assert expected result"? Can you elaborate?
    – Peter Mortensen
    2 days ago










  • Down vote because this is a trivial question. See SO for numerous posts similar to this.
    – Jon
    2 days ago













up vote
2
down vote

favorite
1









up vote
2
down vote

favorite
1






1





I found (How do I merge two data frames in Python Pandas?), but do not get the expected result.



I have these two CSV files:



# f1.csv

num   ano

76971  1975

76969  1975

76968  1975

76966  1975

76964  1975

76963  1975

76960  1975


and



# f2.csv

num   ano   dou  url

76971  1975 p1   http://exemplo.com/page1

76968  1975 p2   http://exemplo.com/page10

76966  1975 p2   http://exemplo.com/page100


How do I merge these for to get the result given below?



# Expected result

num   ano   dou  url

76971  1975 p1   http://exemplo.com/page1

76969  1975

76968  1975 p2   http://exemplo.com/page10

76966  1975 p2   http://exemplo.com/page100

76964  1975

76963  1975

76960  1975





pandas







share|improve this question









New contributor




britodfbr is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.











I found (How do I merge two data frames in Python Pandas?), but do not get the expected result.



I have these two CSV files:



# f1.csv

num   ano

76971  1975

76969  1975

76968  1975

76966  1975

76964  1975

76963  1975

76960  1975


and



# f2.csv

num   ano   dou  url

76971  1975 p1   http://exemplo.com/page1

76968  1975 p2   http://exemplo.com/page10

76966  1975 p2   http://exemplo.com/page100


How do I merge these for to get the result given below?



# Expected result

num   ano   dou  url

76971  1975 p1   http://exemplo.com/page1

76969  1975

76968  1975 p2   http://exemplo.com/page10

76966  1975 p2   http://exemplo.com/page100

76964  1975

76963  1975

76960  1975





pandas




pandas






share|improve this question









New contributor




britodfbr is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.











share|improve this question









New contributor




britodfbr is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.









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edited 2 days ago









Stephen Rauch

1,30351128




1,30351128






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britodfbr is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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asked 2 days ago









britodfbr

1163




1163




New contributor




britodfbr is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.





New contributor





britodfbr is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.






britodfbr is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.




put on hold as off-topic by Stephen Rauch, Siong Thye Goh, n1k31t4, Sean Owen♦ yesterday


This question appears to be off-topic. The users who voted to close gave this specific reason:


  • "This question does not appear to be about data science, within the scope defined in the help center." – Stephen Rauch, Siong Thye Goh, n1k31t4, Sean Owen

If this question can be reworded to fit the rules in the help center, please edit the question.




put on hold as off-topic by Stephen Rauch, Siong Thye Goh, n1k31t4, Sean Owen♦ yesterday


This question appears to be off-topic. The users who voted to close gave this specific reason:


  • "This question does not appear to be about data science, within the scope defined in the help center." – Stephen Rauch, Siong Thye Goh, n1k31t4, Sean Owen

If this question can be reworded to fit the rules in the help center, please edit the question.












  • There are many example on StackOverflow
    – Aditya
    2 days ago












  • @Aditya, no how i need. And i newer...
    – britodfbr
    2 days ago










  • What do you mean by "but not assert expected result"? Can you elaborate?
    – Peter Mortensen
    2 days ago










  • Down vote because this is a trivial question. See SO for numerous posts similar to this.
    – Jon
    2 days ago


















  • There are many example on StackOverflow
    – Aditya
    2 days ago












  • @Aditya, no how i need. And i newer...
    – britodfbr
    2 days ago










  • What do you mean by "but not assert expected result"? Can you elaborate?
    – Peter Mortensen
    2 days ago










  • Down vote because this is a trivial question. See SO for numerous posts similar to this.
    – Jon
    2 days ago
















There are many example on StackOverflow
– Aditya
2 days ago






There are many example on StackOverflow
– Aditya
2 days ago














@Aditya, no how i need. And i newer...
– britodfbr
2 days ago




@Aditya, no how i need. And i newer...
– britodfbr
2 days ago












What do you mean by "but not assert expected result"? Can you elaborate?
– Peter Mortensen
2 days ago




What do you mean by "but not assert expected result"? Can you elaborate?
– Peter Mortensen
2 days ago












Down vote because this is a trivial question. See SO for numerous posts similar to this.
– Jon
2 days ago




Down vote because this is a trivial question. See SO for numerous posts similar to this.
– Jon
2 days ago










1 Answer
1






active

oldest

votes

















up vote
5
down vote



accepted










f1.merge(f2, left_on='num', right_on='num', how='outer')



see https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.merge.html






share|improve this answer








New contributor




wl1234 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.














  • 2




    very thanks! I finish below: a1975.merge(b1975, left_on=['num', 'ano'], right_on=['num', 'ano'], how='outer', sort=True)
    – britodfbr
    2 days ago




















1 Answer
1






active

oldest

votes








1 Answer
1






active

oldest

votes









active

oldest

votes






active

oldest

votes








up vote
5
down vote



accepted










f1.merge(f2, left_on='num', right_on='num', how='outer')



see https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.merge.html






share|improve this answer








New contributor




wl1234 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.














  • 2




    very thanks! I finish below: a1975.merge(b1975, left_on=['num', 'ano'], right_on=['num', 'ano'], how='outer', sort=True)
    – britodfbr
    2 days ago

















up vote
5
down vote



accepted










f1.merge(f2, left_on='num', right_on='num', how='outer')



see https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.merge.html






share|improve this answer








New contributor




wl1234 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.














  • 2




    very thanks! I finish below: a1975.merge(b1975, left_on=['num', 'ano'], right_on=['num', 'ano'], how='outer', sort=True)
    – britodfbr
    2 days ago















up vote
5
down vote



accepted







up vote
5
down vote



accepted






f1.merge(f2, left_on='num', right_on='num', how='outer')



see https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.merge.html






share|improve this answer








New contributor




wl1234 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.









f1.merge(f2, left_on='num', right_on='num', how='outer')



see https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.merge.html







share|improve this answer








New contributor




wl1234 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.









share|improve this answer



share|improve this answer






New contributor




wl1234 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.









answered 2 days ago









wl1234

663




663




New contributor




wl1234 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.





New contributor





wl1234 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.






wl1234 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.








  • 2




    very thanks! I finish below: a1975.merge(b1975, left_on=['num', 'ano'], right_on=['num', 'ano'], how='outer', sort=True)
    – britodfbr
    2 days ago
















  • 2




    very thanks! I finish below: a1975.merge(b1975, left_on=['num', 'ano'], right_on=['num', 'ano'], how='outer', sort=True)
    – britodfbr
    2 days ago










2




2




very thanks! I finish below: a1975.merge(b1975, left_on=['num', 'ano'], right_on=['num', 'ano'], how='outer', sort=True)
– britodfbr
2 days ago






very thanks! I finish below: a1975.merge(b1975, left_on=['num', 'ano'], right_on=['num', 'ano'], how='outer', sort=True)
– britodfbr
2 days ago





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