Get header in genfromtxt when using skip_header











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












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
2






active

oldest

votes

















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
    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























      Your Answer






      StackExchange.ifUsing("editor", function () {
      StackExchange.using("externalEditor", function () {
      StackExchange.using("snippets", function () {
      StackExchange.snippets.init();
      });
      });
      }, "code-snippets");

      StackExchange.ready(function() {
      var channelOptions = {
      tags: "".split(" "),
      id: "1"
      };
      initTagRenderer("".split(" "), "".split(" "), channelOptions);

      StackExchange.using("externalEditor", function() {
      // Have to fire editor after snippets, if snippets enabled
      if (StackExchange.settings.snippets.snippetsEnabled) {
      StackExchange.using("snippets", function() {
      createEditor();
      });
      }
      else {
      createEditor();
      }
      });

      function createEditor() {
      StackExchange.prepareEditor({
      heartbeatType: 'answer',
      convertImagesToLinks: true,
      noModals: true,
      showLowRepImageUploadWarning: true,
      reputationToPostImages: 10,
      bindNavPrevention: true,
      postfix: "",
      imageUploader: {
      brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
      contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
      allowUrls: true
      },
      onDemand: true,
      discardSelector: ".discard-answer"
      ,immediatelyShowMarkdownHelp:true
      });


      }
      });














       

      draft saved


      draft discarded


















      StackExchange.ready(
      function () {
      StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53371876%2fget-header-in-genfromtxt-when-using-skip-header%23new-answer', 'question_page');
      }
      );

      Post as a guest















      Required, but never shown

























      2 Answers
      2






      active

      oldest

      votes








      2 Answers
      2






      active

      oldest

      votes









      active

      oldest

      votes






      active

      oldest

      votes








      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
        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
          0
          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.
          Check out our Code of Conduct.









          share|improve this answer



          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.









          answered 12 hours ago









          Patol75

          4636




          4636




          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.





          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.






          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
              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






























                       

                      draft saved


                      draft discarded



















































                       


                      draft saved


                      draft discarded














                      StackExchange.ready(
                      function () {
                      StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53371876%2fget-header-in-genfromtxt-when-using-skip-header%23new-answer', 'question_page');
                      }
                      );

                      Post as a guest















                      Required, but never shown





















































                      Required, but never shown














                      Required, but never shown












                      Required, but never shown







                      Required, but never shown

































                      Required, but never shown














                      Required, but never shown












                      Required, but never shown







                      Required, but never shown







                      Popular posts from this blog

                      Can a sorcerer learn a 5th-level spell early by creating spell slots using the Font of Magic feature?

                      Image
                      28 6 $begingroup$ Per the Font of Magic feature, sorcerer can use Flexible Casting to create 5th-level spell slots at level 7, even though they are not typically available until level 9. You can transform unexpended sorcery points into one spell slot as a bonus action on your turn. The Creating Spell Slots table shows the cost of creating a spell slot of [5th level is 7] If such a sorcerer levels up while still having this 5th-level spell slot, can they choose a 5th-level spell as the spell they gain upon levelling up? The Spellcasting feature states: Additionally, when you gain a level in this class, you can choose one of the sorcerer spells you know and replace it with another spell from the sorcerer spell list, which also must be of a level for which you have spell slots.
                      Read more

                      Does disintegrating a polymorphed enemy still kill it after the 2018 errata?

                      Image
                      up vote 13 down vote favorite 1 After the 2018 errata, the disintegrate spell description now reads: A creature targeted by this spell must make a Dexterity saving throw. On a failed save, the target takes 10d6 + 40 force damage. The target is disintegrated if this damage leaves it with 0 hit points. If you were to polymorph an enemy into a rat and then disintegrate it, would the enemy be disintegrated or would it just return to its original form? I know that for Druids, it’s not an instant kill anymore, but is this the case for polymorph as well? dnd-5e spells polymorph errata share | improve this question edited 18 hours ago
                      Read more

                      A Topological Invariant for $pi_3(U(n))$

                      Image
                      3 3 $begingroup$ Recently, I saw a construction of topological invariant for $pi_3(U(n))$ with $ngeq 2$ : $$ N=frac{1}{24pi^2}int_{S^3} d^3x epsilon^{ijk} Tr[(U^{-1}partial_{x_i}U)(U^{-1}partial_{x_j}U)(U^{-1}partial_{x_k}U)] , $$ where $Uin U(n)$ depends on $boldsymbol{x}=(x_1,x_2,x_3)in S^3$ , $epsilon^{ijk}$ is the Levi-Civita symbol, $i,j,k=1,2,3$ , and the duplicated indexes are summed over. It is claimed that $N$ is an integer, but why? Update 02/02/2019 I think I got an argument for $n=2$ . In this case, $U=e^{i varphi} q$ with $qin SU(2)$ . Due to the trace and the Levi-Civita symbol in $N$ , $varphi$ does not contribute to $N$ . As $Tr[q^{dagger}partial_i q]=0$ and $(q^{dagger}partial_i q)^{dagger}=-q^{dagger}partial_i q$ , $q^{dagger}partial_i q$ in geneeral has the form $q^{dagger}partia
                      Read more