how to export the tables into a csv file pandas












0












$begingroup$


The following is a piece of code I wrote to create a pivot table for categorical vs continuous variable.



for row in categorical:
for col in numeric:
ptable = pd.pivot_table(df, values = col, index = row, aggfunc = ['min','max','median','mean','std',lambda x: 100*x.count()/df.shape[0]])
print(ptable)
writer = pd.ExcelWriter('report.xlsx')
ptable.to_excel(writer, 'Sheet1')
writer.save()




It displays the output as in the image:click fo image





but this is not a data frame and when writing into an excel file it displays only the last iteration values.
click image






how do I get all the iterated tables into the excel file or separate excel files?










share|improve this question











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bumped to the homepage by Community 15 mins ago


This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.




















    0












    $begingroup$


    The following is a piece of code I wrote to create a pivot table for categorical vs continuous variable.



    for row in categorical:
    for col in numeric:
    ptable = pd.pivot_table(df, values = col, index = row, aggfunc = ['min','max','median','mean','std',lambda x: 100*x.count()/df.shape[0]])
    print(ptable)
    writer = pd.ExcelWriter('report.xlsx')
    ptable.to_excel(writer, 'Sheet1')
    writer.save()




    It displays the output as in the image:click fo image





    but this is not a data frame and when writing into an excel file it displays only the last iteration values.
    click image






    how do I get all the iterated tables into the excel file or separate excel files?










    share|improve this question











    $endgroup$




    bumped to the homepage by Community 15 mins ago


    This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.


















      0












      0








      0





      $begingroup$


      The following is a piece of code I wrote to create a pivot table for categorical vs continuous variable.



      for row in categorical:
      for col in numeric:
      ptable = pd.pivot_table(df, values = col, index = row, aggfunc = ['min','max','median','mean','std',lambda x: 100*x.count()/df.shape[0]])
      print(ptable)
      writer = pd.ExcelWriter('report.xlsx')
      ptable.to_excel(writer, 'Sheet1')
      writer.save()




      It displays the output as in the image:click fo image





      but this is not a data frame and when writing into an excel file it displays only the last iteration values.
      click image






      how do I get all the iterated tables into the excel file or separate excel files?










      share|improve this question











      $endgroup$




      The following is a piece of code I wrote to create a pivot table for categorical vs continuous variable.



      for row in categorical:
      for col in numeric:
      ptable = pd.pivot_table(df, values = col, index = row, aggfunc = ['min','max','median','mean','std',lambda x: 100*x.count()/df.shape[0]])
      print(ptable)
      writer = pd.ExcelWriter('report.xlsx')
      ptable.to_excel(writer, 'Sheet1')
      writer.save()




      It displays the output as in the image:click fo image





      but this is not a data frame and when writing into an excel file it displays only the last iteration values.
      click image






      how do I get all the iterated tables into the excel file or separate excel files?







      python pandas ipython






      share|improve this question















      share|improve this question













      share|improve this question




      share|improve this question








      edited Jun 19 '18 at 14:59









      Harpal

      2661310




      2661310










      asked Jun 19 '18 at 11:22









      Abraham WilsonAbraham Wilson

      63




      63





      bumped to the homepage by Community 15 mins ago


      This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.







      bumped to the homepage by Community 15 mins ago


      This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
























          1 Answer
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          active

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          0












          $begingroup$

          Your current code overwrites the previous sheet, which is why only the last iteration is present. Setting each sheet to the same name (Sheet1) will overwrite the sheet. This name will need to be changed for each interation.



          Try this:



          for row_index, row in enumerate(categorical):
          for col_index, col in enumerate(numeric):
          ptable = pd.pivot_table(df, values = col, index = row, aggfunc = ['min','max','median','mean','std',lambda x: 100*x.count()/df.shape[0]])
          print(ptable)
          writer = pd.ExcelWriter('report.xlsx')
          ptable.to_excel(writer, 'Sheet1_{}_{}'.format(row_index, col_index))
          writer.save()


          This should save each iteration as an individual sheet






          share|improve this answer









          $endgroup$













          • $begingroup$
            i ran into the following error: Exception: Excel worksheet name 'Sheet1_Runners-Up_QualifiedTeams' must be <= 31 chars.
            $endgroup$
            – Abraham Wilson
            Jun 19 '18 at 14:00










          • $begingroup$
            Instead of writing it into different CSV, is it possible to convert the ptable into dataframes??
            $endgroup$
            – Abraham Wilson
            Jun 20 '18 at 11:52












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          1 Answer
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          1 Answer
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          active

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          active

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          0












          $begingroup$

          Your current code overwrites the previous sheet, which is why only the last iteration is present. Setting each sheet to the same name (Sheet1) will overwrite the sheet. This name will need to be changed for each interation.



          Try this:



          for row_index, row in enumerate(categorical):
          for col_index, col in enumerate(numeric):
          ptable = pd.pivot_table(df, values = col, index = row, aggfunc = ['min','max','median','mean','std',lambda x: 100*x.count()/df.shape[0]])
          print(ptable)
          writer = pd.ExcelWriter('report.xlsx')
          ptable.to_excel(writer, 'Sheet1_{}_{}'.format(row_index, col_index))
          writer.save()


          This should save each iteration as an individual sheet






          share|improve this answer









          $endgroup$













          • $begingroup$
            i ran into the following error: Exception: Excel worksheet name 'Sheet1_Runners-Up_QualifiedTeams' must be <= 31 chars.
            $endgroup$
            – Abraham Wilson
            Jun 19 '18 at 14:00










          • $begingroup$
            Instead of writing it into different CSV, is it possible to convert the ptable into dataframes??
            $endgroup$
            – Abraham Wilson
            Jun 20 '18 at 11:52
















          0












          $begingroup$

          Your current code overwrites the previous sheet, which is why only the last iteration is present. Setting each sheet to the same name (Sheet1) will overwrite the sheet. This name will need to be changed for each interation.



          Try this:



          for row_index, row in enumerate(categorical):
          for col_index, col in enumerate(numeric):
          ptable = pd.pivot_table(df, values = col, index = row, aggfunc = ['min','max','median','mean','std',lambda x: 100*x.count()/df.shape[0]])
          print(ptable)
          writer = pd.ExcelWriter('report.xlsx')
          ptable.to_excel(writer, 'Sheet1_{}_{}'.format(row_index, col_index))
          writer.save()


          This should save each iteration as an individual sheet






          share|improve this answer









          $endgroup$













          • $begingroup$
            i ran into the following error: Exception: Excel worksheet name 'Sheet1_Runners-Up_QualifiedTeams' must be <= 31 chars.
            $endgroup$
            – Abraham Wilson
            Jun 19 '18 at 14:00










          • $begingroup$
            Instead of writing it into different CSV, is it possible to convert the ptable into dataframes??
            $endgroup$
            – Abraham Wilson
            Jun 20 '18 at 11:52














          0












          0








          0





          $begingroup$

          Your current code overwrites the previous sheet, which is why only the last iteration is present. Setting each sheet to the same name (Sheet1) will overwrite the sheet. This name will need to be changed for each interation.



          Try this:



          for row_index, row in enumerate(categorical):
          for col_index, col in enumerate(numeric):
          ptable = pd.pivot_table(df, values = col, index = row, aggfunc = ['min','max','median','mean','std',lambda x: 100*x.count()/df.shape[0]])
          print(ptable)
          writer = pd.ExcelWriter('report.xlsx')
          ptable.to_excel(writer, 'Sheet1_{}_{}'.format(row_index, col_index))
          writer.save()


          This should save each iteration as an individual sheet






          share|improve this answer









          $endgroup$



          Your current code overwrites the previous sheet, which is why only the last iteration is present. Setting each sheet to the same name (Sheet1) will overwrite the sheet. This name will need to be changed for each interation.



          Try this:



          for row_index, row in enumerate(categorical):
          for col_index, col in enumerate(numeric):
          ptable = pd.pivot_table(df, values = col, index = row, aggfunc = ['min','max','median','mean','std',lambda x: 100*x.count()/df.shape[0]])
          print(ptable)
          writer = pd.ExcelWriter('report.xlsx')
          ptable.to_excel(writer, 'Sheet1_{}_{}'.format(row_index, col_index))
          writer.save()


          This should save each iteration as an individual sheet







          share|improve this answer












          share|improve this answer



          share|improve this answer










          answered Jun 19 '18 at 12:17









          HarpalHarpal

          2661310




          2661310












          • $begingroup$
            i ran into the following error: Exception: Excel worksheet name 'Sheet1_Runners-Up_QualifiedTeams' must be <= 31 chars.
            $endgroup$
            – Abraham Wilson
            Jun 19 '18 at 14:00










          • $begingroup$
            Instead of writing it into different CSV, is it possible to convert the ptable into dataframes??
            $endgroup$
            – Abraham Wilson
            Jun 20 '18 at 11:52


















          • $begingroup$
            i ran into the following error: Exception: Excel worksheet name 'Sheet1_Runners-Up_QualifiedTeams' must be <= 31 chars.
            $endgroup$
            – Abraham Wilson
            Jun 19 '18 at 14:00










          • $begingroup$
            Instead of writing it into different CSV, is it possible to convert the ptable into dataframes??
            $endgroup$
            – Abraham Wilson
            Jun 20 '18 at 11:52
















          $begingroup$
          i ran into the following error: Exception: Excel worksheet name 'Sheet1_Runners-Up_QualifiedTeams' must be <= 31 chars.
          $endgroup$
          – Abraham Wilson
          Jun 19 '18 at 14:00




          $begingroup$
          i ran into the following error: Exception: Excel worksheet name 'Sheet1_Runners-Up_QualifiedTeams' must be <= 31 chars.
          $endgroup$
          – Abraham Wilson
          Jun 19 '18 at 14:00












          $begingroup$
          Instead of writing it into different CSV, is it possible to convert the ptable into dataframes??
          $endgroup$
          – Abraham Wilson
          Jun 20 '18 at 11:52




          $begingroup$
          Instead of writing it into different CSV, is it possible to convert the ptable into dataframes??
          $endgroup$
          – Abraham Wilson
          Jun 20 '18 at 11:52


















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