How do you write in the header column for CSV file?











up vote
-1
down vote

favorite
1












def write_vt(d, filename):
f = open(filename, 'w')


I am supposed to open the new file in write mode and then write in the header column, then use a for loop to add strings of data into the file. But I just can't figure out how to do this...



Original filename is votes.csv.










share|improve this question




























    up vote
    -1
    down vote

    favorite
    1












    def write_vt(d, filename):
    f = open(filename, 'w')


    I am supposed to open the new file in write mode and then write in the header column, then use a for loop to add strings of data into the file. But I just can't figure out how to do this...



    Original filename is votes.csv.










    share|improve this question


























      up vote
      -1
      down vote

      favorite
      1









      up vote
      -1
      down vote

      favorite
      1






      1





      def write_vt(d, filename):
      f = open(filename, 'w')


      I am supposed to open the new file in write mode and then write in the header column, then use a for loop to add strings of data into the file. But I just can't figure out how to do this...



      Original filename is votes.csv.










      share|improve this question















      def write_vt(d, filename):
      f = open(filename, 'w')


      I am supposed to open the new file in write mode and then write in the header column, then use a for loop to add strings of data into the file. But I just can't figure out how to do this...



      Original filename is votes.csv.







      python python-2.7 python-3.7






      share|improve this question















      share|improve this question













      share|improve this question




      share|improve this question








      edited Nov 11 at 19:40









      martineau

      65.1k987176




      65.1k987176










      asked Nov 11 at 19:33









      Benjamin Han

      52




      52
























          2 Answers
          2






          active

          oldest

          votes

















          up vote
          0
          down vote



          accepted










          There are many ways to do this, depending on your data and what tools you're willing to use:



          a) Writing the CSV row by row with lists and a header



          import csv


          data_list = [
          ["Russia", "Moscow", "Russian"],
          ["US", "Washington, D.C.", "English"],
          ["Colombia", "Bogotá", "Spanish"]
          ]
          header = ["col1", "col2", "col3"]

          def write_csv_from_lists(data, header, filename):
          with open(filename, "w") as csv_file:
          csv_writer = csv.writer(csv_file)
          csv_writer.writerow(header) # write header
          for row in data:
          csv_writer.writerow(row) # write each row

          write_csv_from_lists(data_list, header, "file1.csv")


          file1.csv



          col1,col2,col3
          Russia,Moscow,Russian
          US,"Washington, D.C.",English
          Colombia,Bogotá,Spanish


          b) Writing the CSV row by row with dicts and a header



          import csv


          data_dict = [
          {"col1": "Russia", "col2": "Moscow", "col3": "Russian"},
          {"col1": "US", "col2": "Washington, D.C.", "col3": "English"},
          {"col1": "Colombia", "col2": "Bogotá", "col3": "Spanish"}
          ]
          header = ["col1", "col2", "col3"]

          def write_csv_from_dicts(data, header, filename):
          with open(filename, "w") as csv_file:
          dict_writer = csv.DictWriter(csv_file, fieldnames=header)
          dict_writer.writeheader() # write header
          for row in data:
          dict_writer.writerow(row) # write each row

          write_csv_from_dicts(data_dict, header, "file2.csv")


          file2.csv



          col1,col2,col3
          Russia,Moscow,Russian
          US,"Washington, D.C.",English
          Colombia,Bogotá,Spanish


          c) Writing the CSV with pandas



          import pandas as pd


          data_dict = [
          {"col1": "Russia", "col2": "Moscow", "col3": "Russian"},
          {"col1": "US", "col2": "Washington, D.C.", "col3": "English"},
          {"col1": "Colombia", "col2": "Bogotá", "col3": "Spanish"}
          ]

          def write_csv_pandas(data, filename):

          pd.DataFrame(data).to_csv(filename, index=False)

          write_csv_pandas(data_dict, "file3.csv")


          file3.csv



          col1,col2,col3
          Russia,Moscow,Russian
          US,"Washington, D.C.",English
          Colombia,Bogotá,Spanish





          share|improve this answer




























            up vote
            1
            down vote













            You can use this to add the header:



            header = "col1,col2,col3"
            with open('file.csv','w') as my_csv:
            my_csv.write(header+'n')


            concerning filling your CSV with data, it will depend on the original data you will use as source.






            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%2f53252420%2fhow-do-you-write-in-the-header-column-for-csv-file%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



              accepted










              There are many ways to do this, depending on your data and what tools you're willing to use:



              a) Writing the CSV row by row with lists and a header



              import csv


              data_list = [
              ["Russia", "Moscow", "Russian"],
              ["US", "Washington, D.C.", "English"],
              ["Colombia", "Bogotá", "Spanish"]
              ]
              header = ["col1", "col2", "col3"]

              def write_csv_from_lists(data, header, filename):
              with open(filename, "w") as csv_file:
              csv_writer = csv.writer(csv_file)
              csv_writer.writerow(header) # write header
              for row in data:
              csv_writer.writerow(row) # write each row

              write_csv_from_lists(data_list, header, "file1.csv")


              file1.csv



              col1,col2,col3
              Russia,Moscow,Russian
              US,"Washington, D.C.",English
              Colombia,Bogotá,Spanish


              b) Writing the CSV row by row with dicts and a header



              import csv


              data_dict = [
              {"col1": "Russia", "col2": "Moscow", "col3": "Russian"},
              {"col1": "US", "col2": "Washington, D.C.", "col3": "English"},
              {"col1": "Colombia", "col2": "Bogotá", "col3": "Spanish"}
              ]
              header = ["col1", "col2", "col3"]

              def write_csv_from_dicts(data, header, filename):
              with open(filename, "w") as csv_file:
              dict_writer = csv.DictWriter(csv_file, fieldnames=header)
              dict_writer.writeheader() # write header
              for row in data:
              dict_writer.writerow(row) # write each row

              write_csv_from_dicts(data_dict, header, "file2.csv")


              file2.csv



              col1,col2,col3
              Russia,Moscow,Russian
              US,"Washington, D.C.",English
              Colombia,Bogotá,Spanish


              c) Writing the CSV with pandas



              import pandas as pd


              data_dict = [
              {"col1": "Russia", "col2": "Moscow", "col3": "Russian"},
              {"col1": "US", "col2": "Washington, D.C.", "col3": "English"},
              {"col1": "Colombia", "col2": "Bogotá", "col3": "Spanish"}
              ]

              def write_csv_pandas(data, filename):

              pd.DataFrame(data).to_csv(filename, index=False)

              write_csv_pandas(data_dict, "file3.csv")


              file3.csv



              col1,col2,col3
              Russia,Moscow,Russian
              US,"Washington, D.C.",English
              Colombia,Bogotá,Spanish





              share|improve this answer

























                up vote
                0
                down vote



                accepted










                There are many ways to do this, depending on your data and what tools you're willing to use:



                a) Writing the CSV row by row with lists and a header



                import csv


                data_list = [
                ["Russia", "Moscow", "Russian"],
                ["US", "Washington, D.C.", "English"],
                ["Colombia", "Bogotá", "Spanish"]
                ]
                header = ["col1", "col2", "col3"]

                def write_csv_from_lists(data, header, filename):
                with open(filename, "w") as csv_file:
                csv_writer = csv.writer(csv_file)
                csv_writer.writerow(header) # write header
                for row in data:
                csv_writer.writerow(row) # write each row

                write_csv_from_lists(data_list, header, "file1.csv")


                file1.csv



                col1,col2,col3
                Russia,Moscow,Russian
                US,"Washington, D.C.",English
                Colombia,Bogotá,Spanish


                b) Writing the CSV row by row with dicts and a header



                import csv


                data_dict = [
                {"col1": "Russia", "col2": "Moscow", "col3": "Russian"},
                {"col1": "US", "col2": "Washington, D.C.", "col3": "English"},
                {"col1": "Colombia", "col2": "Bogotá", "col3": "Spanish"}
                ]
                header = ["col1", "col2", "col3"]

                def write_csv_from_dicts(data, header, filename):
                with open(filename, "w") as csv_file:
                dict_writer = csv.DictWriter(csv_file, fieldnames=header)
                dict_writer.writeheader() # write header
                for row in data:
                dict_writer.writerow(row) # write each row

                write_csv_from_dicts(data_dict, header, "file2.csv")


                file2.csv



                col1,col2,col3
                Russia,Moscow,Russian
                US,"Washington, D.C.",English
                Colombia,Bogotá,Spanish


                c) Writing the CSV with pandas



                import pandas as pd


                data_dict = [
                {"col1": "Russia", "col2": "Moscow", "col3": "Russian"},
                {"col1": "US", "col2": "Washington, D.C.", "col3": "English"},
                {"col1": "Colombia", "col2": "Bogotá", "col3": "Spanish"}
                ]

                def write_csv_pandas(data, filename):

                pd.DataFrame(data).to_csv(filename, index=False)

                write_csv_pandas(data_dict, "file3.csv")


                file3.csv



                col1,col2,col3
                Russia,Moscow,Russian
                US,"Washington, D.C.",English
                Colombia,Bogotá,Spanish





                share|improve this answer























                  up vote
                  0
                  down vote



                  accepted







                  up vote
                  0
                  down vote



                  accepted






                  There are many ways to do this, depending on your data and what tools you're willing to use:



                  a) Writing the CSV row by row with lists and a header



                  import csv


                  data_list = [
                  ["Russia", "Moscow", "Russian"],
                  ["US", "Washington, D.C.", "English"],
                  ["Colombia", "Bogotá", "Spanish"]
                  ]
                  header = ["col1", "col2", "col3"]

                  def write_csv_from_lists(data, header, filename):
                  with open(filename, "w") as csv_file:
                  csv_writer = csv.writer(csv_file)
                  csv_writer.writerow(header) # write header
                  for row in data:
                  csv_writer.writerow(row) # write each row

                  write_csv_from_lists(data_list, header, "file1.csv")


                  file1.csv



                  col1,col2,col3
                  Russia,Moscow,Russian
                  US,"Washington, D.C.",English
                  Colombia,Bogotá,Spanish


                  b) Writing the CSV row by row with dicts and a header



                  import csv


                  data_dict = [
                  {"col1": "Russia", "col2": "Moscow", "col3": "Russian"},
                  {"col1": "US", "col2": "Washington, D.C.", "col3": "English"},
                  {"col1": "Colombia", "col2": "Bogotá", "col3": "Spanish"}
                  ]
                  header = ["col1", "col2", "col3"]

                  def write_csv_from_dicts(data, header, filename):
                  with open(filename, "w") as csv_file:
                  dict_writer = csv.DictWriter(csv_file, fieldnames=header)
                  dict_writer.writeheader() # write header
                  for row in data:
                  dict_writer.writerow(row) # write each row

                  write_csv_from_dicts(data_dict, header, "file2.csv")


                  file2.csv



                  col1,col2,col3
                  Russia,Moscow,Russian
                  US,"Washington, D.C.",English
                  Colombia,Bogotá,Spanish


                  c) Writing the CSV with pandas



                  import pandas as pd


                  data_dict = [
                  {"col1": "Russia", "col2": "Moscow", "col3": "Russian"},
                  {"col1": "US", "col2": "Washington, D.C.", "col3": "English"},
                  {"col1": "Colombia", "col2": "Bogotá", "col3": "Spanish"}
                  ]

                  def write_csv_pandas(data, filename):

                  pd.DataFrame(data).to_csv(filename, index=False)

                  write_csv_pandas(data_dict, "file3.csv")


                  file3.csv



                  col1,col2,col3
                  Russia,Moscow,Russian
                  US,"Washington, D.C.",English
                  Colombia,Bogotá,Spanish





                  share|improve this answer












                  There are many ways to do this, depending on your data and what tools you're willing to use:



                  a) Writing the CSV row by row with lists and a header



                  import csv


                  data_list = [
                  ["Russia", "Moscow", "Russian"],
                  ["US", "Washington, D.C.", "English"],
                  ["Colombia", "Bogotá", "Spanish"]
                  ]
                  header = ["col1", "col2", "col3"]

                  def write_csv_from_lists(data, header, filename):
                  with open(filename, "w") as csv_file:
                  csv_writer = csv.writer(csv_file)
                  csv_writer.writerow(header) # write header
                  for row in data:
                  csv_writer.writerow(row) # write each row

                  write_csv_from_lists(data_list, header, "file1.csv")


                  file1.csv



                  col1,col2,col3
                  Russia,Moscow,Russian
                  US,"Washington, D.C.",English
                  Colombia,Bogotá,Spanish


                  b) Writing the CSV row by row with dicts and a header



                  import csv


                  data_dict = [
                  {"col1": "Russia", "col2": "Moscow", "col3": "Russian"},
                  {"col1": "US", "col2": "Washington, D.C.", "col3": "English"},
                  {"col1": "Colombia", "col2": "Bogotá", "col3": "Spanish"}
                  ]
                  header = ["col1", "col2", "col3"]

                  def write_csv_from_dicts(data, header, filename):
                  with open(filename, "w") as csv_file:
                  dict_writer = csv.DictWriter(csv_file, fieldnames=header)
                  dict_writer.writeheader() # write header
                  for row in data:
                  dict_writer.writerow(row) # write each row

                  write_csv_from_dicts(data_dict, header, "file2.csv")


                  file2.csv



                  col1,col2,col3
                  Russia,Moscow,Russian
                  US,"Washington, D.C.",English
                  Colombia,Bogotá,Spanish


                  c) Writing the CSV with pandas



                  import pandas as pd


                  data_dict = [
                  {"col1": "Russia", "col2": "Moscow", "col3": "Russian"},
                  {"col1": "US", "col2": "Washington, D.C.", "col3": "English"},
                  {"col1": "Colombia", "col2": "Bogotá", "col3": "Spanish"}
                  ]

                  def write_csv_pandas(data, filename):

                  pd.DataFrame(data).to_csv(filename, index=False)

                  write_csv_pandas(data_dict, "file3.csv")


                  file3.csv



                  col1,col2,col3
                  Russia,Moscow,Russian
                  US,"Washington, D.C.",English
                  Colombia,Bogotá,Spanish






                  share|improve this answer












                  share|improve this answer



                  share|improve this answer










                  answered Nov 12 at 7:54









                  Edgar R. Mondragón

                  1,2611619




                  1,2611619
























                      up vote
                      1
                      down vote













                      You can use this to add the header:



                      header = "col1,col2,col3"
                      with open('file.csv','w') as my_csv:
                      my_csv.write(header+'n')


                      concerning filling your CSV with data, it will depend on the original data you will use as source.






                      share|improve this answer

























                        up vote
                        1
                        down vote













                        You can use this to add the header:



                        header = "col1,col2,col3"
                        with open('file.csv','w') as my_csv:
                        my_csv.write(header+'n')


                        concerning filling your CSV with data, it will depend on the original data you will use as source.






                        share|improve this answer























                          up vote
                          1
                          down vote










                          up vote
                          1
                          down vote









                          You can use this to add the header:



                          header = "col1,col2,col3"
                          with open('file.csv','w') as my_csv:
                          my_csv.write(header+'n')


                          concerning filling your CSV with data, it will depend on the original data you will use as source.






                          share|improve this answer












                          You can use this to add the header:



                          header = "col1,col2,col3"
                          with open('file.csv','w') as my_csv:
                          my_csv.write(header+'n')


                          concerning filling your CSV with data, it will depend on the original data you will use as source.







                          share|improve this answer












                          share|improve this answer



                          share|improve this answer










                          answered Nov 11 at 19:40









                          Walid Da.

                          468313




                          468313






























                              draft saved

                              draft discarded




















































                              Thanks for contributing an answer to Stack Overflow!


                              • Please be sure to answer the question. Provide details and share your research!

                              But avoid



                              • Asking for help, clarification, or responding to other answers.

                              • Making statements based on opinion; back them up with references or personal experience.


                              To learn more, see our tips on writing great answers.





                              Some of your past answers have not been well-received, and you're in danger of being blocked from answering.


                              Please pay close attention to the following guidance:


                              • Please be sure to answer the question. Provide details and share your research!

                              But avoid



                              • Asking for help, clarification, or responding to other answers.

                              • Making statements based on opinion; back them up with references or personal experience.


                              To learn more, see our tips on writing great answers.




                              draft saved


                              draft discarded














                              StackExchange.ready(
                              function () {
                              StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53252420%2fhow-do-you-write-in-the-header-column-for-csv-file%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

                              Bressuire

                              Vorschmack

                              Quarantine