Pandas: How can I merge two dataframes? [closed]











up vote
3
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















closed as off-topic by Stephen Rauch, Siong Thye Goh, n1k31t4, Sean Owen♦ Nov 18 at 23:28


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
    Nov 17 at 13:03












  • @Aditya, no how i need. And i newer...
    – britodfbr
    Nov 17 at 13:45










  • What do you mean by "but not assert expected result"? Can you elaborate?
    – Peter Mortensen
    Nov 17 at 16:09










  • Down vote because this is a trivial question. See SO for numerous posts similar to this.
    – Jon
    Nov 17 at 18:40















up vote
3
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















closed as off-topic by Stephen Rauch, Siong Thye Goh, n1k31t4, Sean Owen♦ Nov 18 at 23:28


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
    Nov 17 at 13:03












  • @Aditya, no how i need. And i newer...
    – britodfbr
    Nov 17 at 13:45










  • What do you mean by "but not assert expected result"? Can you elaborate?
    – Peter Mortensen
    Nov 17 at 16:09










  • Down vote because this is a trivial question. See SO for numerous posts similar to this.
    – Jon
    Nov 17 at 18:40













up vote
3
down vote

favorite
1









up vote
3
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















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















share|improve this question













share|improve this question




share|improve this question








edited Nov 17 at 16:10









Stephen Rauch

1,29751129




1,29751129










asked Nov 17 at 10:51









britodfbr

1213




1213




closed as off-topic by Stephen Rauch, Siong Thye Goh, n1k31t4, Sean Owen♦ Nov 18 at 23:28


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.




closed as off-topic by Stephen Rauch, Siong Thye Goh, n1k31t4, Sean Owen♦ Nov 18 at 23:28


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
    Nov 17 at 13:03












  • @Aditya, no how i need. And i newer...
    – britodfbr
    Nov 17 at 13:45










  • What do you mean by "but not assert expected result"? Can you elaborate?
    – Peter Mortensen
    Nov 17 at 16:09










  • Down vote because this is a trivial question. See SO for numerous posts similar to this.
    – Jon
    Nov 17 at 18:40


















  • There are many example on StackOverflow
    – Aditya
    Nov 17 at 13:03












  • @Aditya, no how i need. And i newer...
    – britodfbr
    Nov 17 at 13:45










  • What do you mean by "but not assert expected result"? Can you elaborate?
    – Peter Mortensen
    Nov 17 at 16:09










  • Down vote because this is a trivial question. See SO for numerous posts similar to this.
    – Jon
    Nov 17 at 18:40
















There are many example on StackOverflow
– Aditya
Nov 17 at 13:03






There are many example on StackOverflow
– Aditya
Nov 17 at 13:03














@Aditya, no how i need. And i newer...
– britodfbr
Nov 17 at 13:45




@Aditya, no how i need. And i newer...
– britodfbr
Nov 17 at 13:45












What do you mean by "but not assert expected result"? Can you elaborate?
– Peter Mortensen
Nov 17 at 16:09




What do you mean by "but not assert expected result"? Can you elaborate?
– Peter Mortensen
Nov 17 at 16:09












Down vote because this is a trivial question. See SO for numerous posts similar to this.
– Jon
Nov 17 at 18:40




Down vote because this is a trivial question. See SO for numerous posts similar to this.
– Jon
Nov 17 at 18:40










1 Answer
1






active

oldest

votes

















up vote
6
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

















  • 2




    very thanks! I finish below: a1975.merge(b1975, left_on=['num', 'ano'], right_on=['num', 'ano'], how='outer', sort=True)
    – britodfbr
    Nov 17 at 13:46




















1 Answer
1






active

oldest

votes








1 Answer
1






active

oldest

votes









active

oldest

votes






active

oldest

votes








up vote
6
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

















  • 2




    very thanks! I finish below: a1975.merge(b1975, left_on=['num', 'ano'], right_on=['num', 'ano'], how='outer', sort=True)
    – britodfbr
    Nov 17 at 13:46

















up vote
6
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

















  • 2




    very thanks! I finish below: a1975.merge(b1975, left_on=['num', 'ano'], right_on=['num', 'ano'], how='outer', sort=True)
    – britodfbr
    Nov 17 at 13:46















up vote
6
down vote



accepted







up vote
6
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












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












share|improve this answer



share|improve this answer










answered Nov 17 at 12:58









wl1234

763




763








  • 2




    very thanks! I finish below: a1975.merge(b1975, left_on=['num', 'ano'], right_on=['num', 'ano'], how='outer', sort=True)
    – britodfbr
    Nov 17 at 13:46
















  • 2




    very thanks! I finish below: a1975.merge(b1975, left_on=['num', 'ano'], right_on=['num', 'ano'], how='outer', sort=True)
    – britodfbr
    Nov 17 at 13:46










2




2




very thanks! I finish below: a1975.merge(b1975, left_on=['num', 'ano'], right_on=['num', 'ano'], how='outer', sort=True)
– britodfbr
Nov 17 at 13:46






very thanks! I finish below: a1975.merge(b1975, left_on=['num', 'ano'], right_on=['num', 'ano'], how='outer', sort=True)
– britodfbr
Nov 17 at 13:46





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