Get header in genfromtxt when using skip_header











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I have data I want to plot and analyse, looking like:



0101 

1  3

2  4

3  6


I use skip_header in genfromtxt to load the file 2 column data, however I also need the header for reference.



Is there a way to get the header back?






python numpy genfromtxt







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  • Use a regular Python file read to get that line,
    – hpaulj
    11 hours ago










  • For genfrontxt this isn't a valid column header. So are right to skip it. And there's no provision for saving or recording skipped lines. Why should there be?
    – hpaulj
    5 hours ago















up vote
-1
down vote

favorite












I have data I want to plot and analyse, looking like:



0101 

1  3

2  4

3  6


I use skip_header in genfromtxt to load the file 2 column data, however I also need the header for reference.



Is there a way to get the header back?






python numpy genfromtxt







share|improve this question
























  • Use a regular Python file read to get that line,
    – hpaulj
    11 hours ago










  • For genfrontxt this isn't a valid column header. So are right to skip it. And there's no provision for saving or recording skipped lines. Why should there be?
    – hpaulj
    5 hours ago













up vote
-1
down vote

favorite









up vote
-1
down vote

favorite











I have data I want to plot and analyse, looking like:



0101 

1  3

2  4

3  6


I use skip_header in genfromtxt to load the file 2 column data, however I also need the header for reference.



Is there a way to get the header back?






python numpy genfromtxt







share|improve this question















I have data I want to plot and analyse, looking like:



0101 

1  3

2  4

3  6


I use skip_header in genfromtxt to load the file 2 column data, however I also need the header for reference.



Is there a way to get the header back?






python numpy genfromtxt




python numpy genfromtxt






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited 11 hours ago









hpaulj

107k673137




107k673137










asked 12 hours ago









StarStrides

5119




5119












  • Use a regular Python file read to get that line,
    – hpaulj
    11 hours ago










  • For genfrontxt this isn't a valid column header. So are right to skip it. And there's no provision for saving or recording skipped lines. Why should there be?
    – hpaulj
    5 hours ago


















  • Use a regular Python file read to get that line,
    – hpaulj
    11 hours ago










  • For genfrontxt this isn't a valid column header. So are right to skip it. And there's no provision for saving or recording skipped lines. Why should there be?
    – hpaulj
    5 hours ago
















Use a regular Python file read to get that line,
– hpaulj
11 hours ago




Use a regular Python file read to get that line,
– hpaulj
11 hours ago












For genfrontxt this isn't a valid column header. So are right to skip it. And there's no provision for saving or recording skipped lines. Why should there be?
– hpaulj
5 hours ago




For genfrontxt this isn't a valid column header. So are right to skip it. And there's no provision for saving or recording skipped lines. Why should there be?
– hpaulj
5 hours ago












2 Answers
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0
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I am not sure that this is implemented in numpy.genfromtxt(). You may have to call the function twice, once for the header, and a second time for the data. Or you may want to have a look at the functions offered by pandas, such as read_table.






share|improve this answer








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Patol75 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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    up vote
    0
    down vote













    You can try with pd.read_csv:



    data = pd.read_csv(filename, sep=" ")


    So that the first line is read as header






    share|improve this answer























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      2 Answers
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      2 Answers
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      I am not sure that this is implemented in numpy.genfromtxt(). You may have to call the function twice, once for the header, and a second time for the data. Or you may want to have a look at the functions offered by pandas, such as read_table.






      share|improve this answer








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      Patol75 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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        up vote
        0
        down vote













        I am not sure that this is implemented in numpy.genfromtxt(). You may have to call the function twice, once for the header, and a second time for the data. Or you may want to have a look at the functions offered by pandas, such as read_table.






        share|improve this answer








        New contributor




        Patol75 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
        Check out our Code of Conduct.




















          up vote
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          down vote










          up vote
          0
          down vote









          I am not sure that this is implemented in numpy.genfromtxt(). You may have to call the function twice, once for the header, and a second time for the data. Or you may want to have a look at the functions offered by pandas, such as read_table.






          share|improve this answer








          New contributor




          Patol75 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
          Check out our Code of Conduct.









          I am not sure that this is implemented in numpy.genfromtxt(). You may have to call the function twice, once for the header, and a second time for the data. Or you may want to have a look at the functions offered by pandas, such as read_table.







          share|improve this answer








          New contributor




          Patol75 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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          answered 12 hours ago









          Patol75

          4636




          4636




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              up vote
              0
              down vote













              You can try with pd.read_csv:



              data = pd.read_csv(filename, sep=" ")


              So that the first line is read as header






              share|improve this answer



























                up vote
                0
                down vote













                You can try with pd.read_csv:



                data = pd.read_csv(filename, sep=" ")


                So that the first line is read as header






                share|improve this answer

























                  up vote
                  0
                  down vote










                  up vote
                  0
                  down vote









                  You can try with pd.read_csv:



                  data = pd.read_csv(filename, sep=" ")


                  So that the first line is read as header






                  share|improve this answer














                  You can try with pd.read_csv:



                  data = pd.read_csv(filename, sep=" ")


                  So that the first line is read as header







                  share|improve this answer














                  share|improve this answer



                  share|improve this answer








                  edited 11 hours ago

























                  answered 12 hours ago









                  Joe

                  5,36221127




                  5,36221127






























                       

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