How to cut and paste columns with python using pandas












0














df = pd.read_excel('C:/Python/Python37/Files/Original.xls')

#Delete columns
df.drop(['StartDate', 'EndDate','EmployeeID'], axis = 1, inplace=True)

#Renames Columns
df.rename(columns={'CheckNumber': 'W/E Date', 'CheckBranch':
'Branch','DeductionAmount':'Amount'},inplace=True)


[['Branch','Deduction','CheckDate','W/E Date','SSN','LastName','FirstName','Amount','Agency','CaseNumber']]

writer = pd.ExcelWriter('C:/Python/Python37/Files/Deductions Report.xlsx')
df.to_excel(writer,'Sheet1')
writer.save()


Where I have the Branch, Deductions ...... that is the way I want the columns to be listed. Each column has specific information that I need to be kept with each column.










share|improve this question



























    0














    df = pd.read_excel('C:/Python/Python37/Files/Original.xls')

    #Delete columns
    df.drop(['StartDate', 'EndDate','EmployeeID'], axis = 1, inplace=True)

    #Renames Columns
    df.rename(columns={'CheckNumber': 'W/E Date', 'CheckBranch':
    'Branch','DeductionAmount':'Amount'},inplace=True)


    [['Branch','Deduction','CheckDate','W/E Date','SSN','LastName','FirstName','Amount','Agency','CaseNumber']]

    writer = pd.ExcelWriter('C:/Python/Python37/Files/Deductions Report.xlsx')
    df.to_excel(writer,'Sheet1')
    writer.save()


    Where I have the Branch, Deductions ...... that is the way I want the columns to be listed. Each column has specific information that I need to be kept with each column.










    share|improve this question

























      0












      0








      0







      df = pd.read_excel('C:/Python/Python37/Files/Original.xls')

      #Delete columns
      df.drop(['StartDate', 'EndDate','EmployeeID'], axis = 1, inplace=True)

      #Renames Columns
      df.rename(columns={'CheckNumber': 'W/E Date', 'CheckBranch':
      'Branch','DeductionAmount':'Amount'},inplace=True)


      [['Branch','Deduction','CheckDate','W/E Date','SSN','LastName','FirstName','Amount','Agency','CaseNumber']]

      writer = pd.ExcelWriter('C:/Python/Python37/Files/Deductions Report.xlsx')
      df.to_excel(writer,'Sheet1')
      writer.save()


      Where I have the Branch, Deductions ...... that is the way I want the columns to be listed. Each column has specific information that I need to be kept with each column.










      share|improve this question













      df = pd.read_excel('C:/Python/Python37/Files/Original.xls')

      #Delete columns
      df.drop(['StartDate', 'EndDate','EmployeeID'], axis = 1, inplace=True)

      #Renames Columns
      df.rename(columns={'CheckNumber': 'W/E Date', 'CheckBranch':
      'Branch','DeductionAmount':'Amount'},inplace=True)


      [['Branch','Deduction','CheckDate','W/E Date','SSN','LastName','FirstName','Amount','Agency','CaseNumber']]

      writer = pd.ExcelWriter('C:/Python/Python37/Files/Deductions Report.xlsx')
      df.to_excel(writer,'Sheet1')
      writer.save()


      Where I have the Branch, Deductions ...... that is the way I want the columns to be listed. Each column has specific information that I need to be kept with each column.







      python pandas






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked Nov 19 at 21:27









      Roberto Gonzalez

      274




      274
























          2 Answers
          2






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          0














          Try this



          df = pd.read_excel('C:/Python/Python37/Files/Original.xls')

          #Delete columns
          df.drop(['StartDate', 'EndDate','EmployeeID'], axis = 1, inplace=True)

          #Renames Columns
          df.rename(columns={'CheckNumber': 'W/E Date', 'CheckBranch':
          'Branch','DeductionAmount':'Amount'},inplace=True)


          df = df[['Branch','Deduction','CheckDate','W/E Date','SSN','LastName','FirstName','Amount','Agency','CaseNumber']]

          writer = pd.ExcelWriter('C:/Python/Python37/Files/Deductions Report.xlsx')
          df.to_excel(writer,'Sheet1')
          writer.save()





          share|improve this answer





























            0














            You were close. Try replacing that line with the following one:



            df = df[['Branch','Deduction','CheckDate','W/E Date',
            'SSN','LastName','FirstName','Amount','Agency','CaseNumber']]





            share|improve this answer























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              2 Answers
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              active

              oldest

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              2 Answers
              2






              active

              oldest

              votes









              active

              oldest

              votes






              active

              oldest

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              0














              Try this



              df = pd.read_excel('C:/Python/Python37/Files/Original.xls')

              #Delete columns
              df.drop(['StartDate', 'EndDate','EmployeeID'], axis = 1, inplace=True)

              #Renames Columns
              df.rename(columns={'CheckNumber': 'W/E Date', 'CheckBranch':
              'Branch','DeductionAmount':'Amount'},inplace=True)


              df = df[['Branch','Deduction','CheckDate','W/E Date','SSN','LastName','FirstName','Amount','Agency','CaseNumber']]

              writer = pd.ExcelWriter('C:/Python/Python37/Files/Deductions Report.xlsx')
              df.to_excel(writer,'Sheet1')
              writer.save()





              share|improve this answer


























                0














                Try this



                df = pd.read_excel('C:/Python/Python37/Files/Original.xls')

                #Delete columns
                df.drop(['StartDate', 'EndDate','EmployeeID'], axis = 1, inplace=True)

                #Renames Columns
                df.rename(columns={'CheckNumber': 'W/E Date', 'CheckBranch':
                'Branch','DeductionAmount':'Amount'},inplace=True)


                df = df[['Branch','Deduction','CheckDate','W/E Date','SSN','LastName','FirstName','Amount','Agency','CaseNumber']]

                writer = pd.ExcelWriter('C:/Python/Python37/Files/Deductions Report.xlsx')
                df.to_excel(writer,'Sheet1')
                writer.save()





                share|improve this answer
























                  0












                  0








                  0






                  Try this



                  df = pd.read_excel('C:/Python/Python37/Files/Original.xls')

                  #Delete columns
                  df.drop(['StartDate', 'EndDate','EmployeeID'], axis = 1, inplace=True)

                  #Renames Columns
                  df.rename(columns={'CheckNumber': 'W/E Date', 'CheckBranch':
                  'Branch','DeductionAmount':'Amount'},inplace=True)


                  df = df[['Branch','Deduction','CheckDate','W/E Date','SSN','LastName','FirstName','Amount','Agency','CaseNumber']]

                  writer = pd.ExcelWriter('C:/Python/Python37/Files/Deductions Report.xlsx')
                  df.to_excel(writer,'Sheet1')
                  writer.save()





                  share|improve this answer












                  Try this



                  df = pd.read_excel('C:/Python/Python37/Files/Original.xls')

                  #Delete columns
                  df.drop(['StartDate', 'EndDate','EmployeeID'], axis = 1, inplace=True)

                  #Renames Columns
                  df.rename(columns={'CheckNumber': 'W/E Date', 'CheckBranch':
                  'Branch','DeductionAmount':'Amount'},inplace=True)


                  df = df[['Branch','Deduction','CheckDate','W/E Date','SSN','LastName','FirstName','Amount','Agency','CaseNumber']]

                  writer = pd.ExcelWriter('C:/Python/Python37/Files/Deductions Report.xlsx')
                  df.to_excel(writer,'Sheet1')
                  writer.save()






                  share|improve this answer












                  share|improve this answer



                  share|improve this answer










                  answered Nov 19 at 21:32









                  Ken Dekalb

                  17911




                  17911

























                      0














                      You were close. Try replacing that line with the following one:



                      df = df[['Branch','Deduction','CheckDate','W/E Date',
                      'SSN','LastName','FirstName','Amount','Agency','CaseNumber']]





                      share|improve this answer




























                        0














                        You were close. Try replacing that line with the following one:



                        df = df[['Branch','Deduction','CheckDate','W/E Date',
                        'SSN','LastName','FirstName','Amount','Agency','CaseNumber']]





                        share|improve this answer


























                          0












                          0








                          0






                          You were close. Try replacing that line with the following one:



                          df = df[['Branch','Deduction','CheckDate','W/E Date',
                          'SSN','LastName','FirstName','Amount','Agency','CaseNumber']]





                          share|improve this answer














                          You were close. Try replacing that line with the following one:



                          df = df[['Branch','Deduction','CheckDate','W/E Date',
                          'SSN','LastName','FirstName','Amount','Agency','CaseNumber']]






                          share|improve this answer














                          share|improve this answer



                          share|improve this answer








                          edited Nov 19 at 21:37

























                          answered Nov 19 at 21:31









                          Julian Peller

                          849511




                          849511






























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