How do I write data to pandas as columns












0















I'm struggling to write list into a CSV file.
So first of all i convert list to pandas dataframe and now truing to save it as columns to a file, but data is being displayed from new line.
Can you please help me figure out what I've missing in my code



lst = ['Name', 'Age', 'City']
df = pd.DataFrame(lst)
df.to_csv('file.csv', mode='a', index=False, header=False)


Expected result: Name, Age, City










share|improve this question





























    0















    I'm struggling to write list into a CSV file.
    So first of all i convert list to pandas dataframe and now truing to save it as columns to a file, but data is being displayed from new line.
    Can you please help me figure out what I've missing in my code



    lst = ['Name', 'Age', 'City']
    df = pd.DataFrame(lst)
    df.to_csv('file.csv', mode='a', index=False, header=False)


    Expected result: Name, Age, City










    share|improve this question



























      0












      0








      0








      I'm struggling to write list into a CSV file.
      So first of all i convert list to pandas dataframe and now truing to save it as columns to a file, but data is being displayed from new line.
      Can you please help me figure out what I've missing in my code



      lst = ['Name', 'Age', 'City']
      df = pd.DataFrame(lst)
      df.to_csv('file.csv', mode='a', index=False, header=False)


      Expected result: Name, Age, City










      share|improve this question
















      I'm struggling to write list into a CSV file.
      So first of all i convert list to pandas dataframe and now truing to save it as columns to a file, but data is being displayed from new line.
      Can you please help me figure out what I've missing in my code



      lst = ['Name', 'Age', 'City']
      df = pd.DataFrame(lst)
      df.to_csv('file.csv', mode='a', index=False, header=False)


      Expected result: Name, Age, City







      python pandas csv dataframe indexing






      share|improve this question















      share|improve this question













      share|improve this question




      share|improve this question








      edited Nov 17 '18 at 10:36









      jpp

      96k2157109




      96k2157109










      asked Nov 17 '18 at 10:18









      ViktorViktor

      268214




      268214
























          2 Answers
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          active

          oldest

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          2














          To save as columns, assign your list as columns:



          lst = ['Name', 'Age', 'City']
          df = pd.DataFrame(columns=lst)

          df.to_csv('file.csv', mode='a', index=False)


          If not specified, the first argument to pd.DataFrame is data, so you must assign to columns explicitly.






          share|improve this answer































            1














            If I understand correctly, you'd just have to add a .T to your line to write the transposed dataframe.



            df.T.to_csv('file.csv', mode='a', index=False, header=False)
            ---^


            although if you are using pandas only to write lists as rows to csv files, you'd better have a look at the csv module, because creating intermediary dataframes is pretty pointless.



            import csv
            lst = ['Name', 'Age', 'City']
            with open('file.csv', 'a') as f:
            csv.writer(f).writerow(lst)





            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









              2














              To save as columns, assign your list as columns:



              lst = ['Name', 'Age', 'City']
              df = pd.DataFrame(columns=lst)

              df.to_csv('file.csv', mode='a', index=False)


              If not specified, the first argument to pd.DataFrame is data, so you must assign to columns explicitly.






              share|improve this answer




























                2














                To save as columns, assign your list as columns:



                lst = ['Name', 'Age', 'City']
                df = pd.DataFrame(columns=lst)

                df.to_csv('file.csv', mode='a', index=False)


                If not specified, the first argument to pd.DataFrame is data, so you must assign to columns explicitly.






                share|improve this answer


























                  2












                  2








                  2







                  To save as columns, assign your list as columns:



                  lst = ['Name', 'Age', 'City']
                  df = pd.DataFrame(columns=lst)

                  df.to_csv('file.csv', mode='a', index=False)


                  If not specified, the first argument to pd.DataFrame is data, so you must assign to columns explicitly.






                  share|improve this answer













                  To save as columns, assign your list as columns:



                  lst = ['Name', 'Age', 'City']
                  df = pd.DataFrame(columns=lst)

                  df.to_csv('file.csv', mode='a', index=False)


                  If not specified, the first argument to pd.DataFrame is data, so you must assign to columns explicitly.







                  share|improve this answer












                  share|improve this answer



                  share|improve this answer










                  answered Nov 17 '18 at 10:24









                  jppjpp

                  96k2157109




                  96k2157109

























                      1














                      If I understand correctly, you'd just have to add a .T to your line to write the transposed dataframe.



                      df.T.to_csv('file.csv', mode='a', index=False, header=False)
                      ---^


                      although if you are using pandas only to write lists as rows to csv files, you'd better have a look at the csv module, because creating intermediary dataframes is pretty pointless.



                      import csv
                      lst = ['Name', 'Age', 'City']
                      with open('file.csv', 'a') as f:
                      csv.writer(f).writerow(lst)





                      share|improve this answer






























                        1














                        If I understand correctly, you'd just have to add a .T to your line to write the transposed dataframe.



                        df.T.to_csv('file.csv', mode='a', index=False, header=False)
                        ---^


                        although if you are using pandas only to write lists as rows to csv files, you'd better have a look at the csv module, because creating intermediary dataframes is pretty pointless.



                        import csv
                        lst = ['Name', 'Age', 'City']
                        with open('file.csv', 'a') as f:
                        csv.writer(f).writerow(lst)





                        share|improve this answer




























                          1












                          1








                          1







                          If I understand correctly, you'd just have to add a .T to your line to write the transposed dataframe.



                          df.T.to_csv('file.csv', mode='a', index=False, header=False)
                          ---^


                          although if you are using pandas only to write lists as rows to csv files, you'd better have a look at the csv module, because creating intermediary dataframes is pretty pointless.



                          import csv
                          lst = ['Name', 'Age', 'City']
                          with open('file.csv', 'a') as f:
                          csv.writer(f).writerow(lst)





                          share|improve this answer















                          If I understand correctly, you'd just have to add a .T to your line to write the transposed dataframe.



                          df.T.to_csv('file.csv', mode='a', index=False, header=False)
                          ---^


                          although if you are using pandas only to write lists as rows to csv files, you'd better have a look at the csv module, because creating intermediary dataframes is pretty pointless.



                          import csv
                          lst = ['Name', 'Age', 'City']
                          with open('file.csv', 'a') as f:
                          csv.writer(f).writerow(lst)






                          share|improve this answer














                          share|improve this answer



                          share|improve this answer








                          edited Nov 17 '18 at 10:28

























                          answered Nov 17 '18 at 10:21









                          timgebtimgeb

                          50.5k116392




                          50.5k116392






























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