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











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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.










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    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





















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              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






























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