R: Cannot Read All Worksheets in Excel











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See below readxl::readxl_example() that I am attempting to copy:



path <- readxl::readxl_example("datasets.xls")
lapply(readxl::excel_sheets(path), readxl::read_excel, path=path)


The above obviously works, and I'm essentially trying to recreate for my own work, below:



df2016<- readxl::read_excel("data_2016.xlsx")
lapply(readxl::excel_sheets(df2016), readxl::read_excel, df2016= df2016)


When I run my code, I return the below error:
Error: path must be a string










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  • 1




    readxl::readxl_example just returns a path to a file provided in the readxl package. Replace df2016 with the path to your excel file.
    – Eric
    Nov 11 at 2:26















up vote
0
down vote

favorite












See below readxl::readxl_example() that I am attempting to copy:



path <- readxl::readxl_example("datasets.xls")
lapply(readxl::excel_sheets(path), readxl::read_excel, path=path)


The above obviously works, and I'm essentially trying to recreate for my own work, below:



df2016<- readxl::read_excel("data_2016.xlsx")
lapply(readxl::excel_sheets(df2016), readxl::read_excel, df2016= df2016)


When I run my code, I return the below error:
Error: path must be a string










share|improve this question


















  • 1




    readxl::readxl_example just returns a path to a file provided in the readxl package. Replace df2016 with the path to your excel file.
    – Eric
    Nov 11 at 2:26













up vote
0
down vote

favorite









up vote
0
down vote

favorite











See below readxl::readxl_example() that I am attempting to copy:



path <- readxl::readxl_example("datasets.xls")
lapply(readxl::excel_sheets(path), readxl::read_excel, path=path)


The above obviously works, and I'm essentially trying to recreate for my own work, below:



df2016<- readxl::read_excel("data_2016.xlsx")
lapply(readxl::excel_sheets(df2016), readxl::read_excel, df2016= df2016)


When I run my code, I return the below error:
Error: path must be a string










share|improve this question













See below readxl::readxl_example() that I am attempting to copy:



path <- readxl::readxl_example("datasets.xls")
lapply(readxl::excel_sheets(path), readxl::read_excel, path=path)


The above obviously works, and I'm essentially trying to recreate for my own work, below:



df2016<- readxl::read_excel("data_2016.xlsx")
lapply(readxl::excel_sheets(df2016), readxl::read_excel, df2016= df2016)


When I run my code, I return the below error:
Error: path must be a string







r excel readxl






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asked Nov 11 at 2:02









enriqueStateSpacias

818




818








  • 1




    readxl::readxl_example just returns a path to a file provided in the readxl package. Replace df2016 with the path to your excel file.
    – Eric
    Nov 11 at 2:26














  • 1




    readxl::readxl_example just returns a path to a file provided in the readxl package. Replace df2016 with the path to your excel file.
    – Eric
    Nov 11 at 2:26








1




1




readxl::readxl_example just returns a path to a file provided in the readxl package. Replace df2016 with the path to your excel file.
– Eric
Nov 11 at 2:26




readxl::readxl_example just returns a path to a file provided in the readxl package. Replace df2016 with the path to your excel file.
– Eric
Nov 11 at 2:26












2 Answers
2






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2
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Instead of reading the excel, provide the location in the lapply function. For example:



location <- "D:/data_2016.xlsx"
lapply(readxl::excel_sheets(location), readxl::read_excel, path=location)





share|improve this answer




























    up vote
    0
    down vote













    To get two different dataframes for 2 sheets. The following code will do the jon.



    import pandas as pd    
    excel_file_sheet1 = pd.read_excel("excel_file.xlsx", sheet_name="Sheet1")
    excel_file_sheet2 = pd.read_excel("excel_file.xlsx", sheet_name="Sheet22")





    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
      2
      down vote



      accepted










      Instead of reading the excel, provide the location in the lapply function. For example:



      location <- "D:/data_2016.xlsx"
      lapply(readxl::excel_sheets(location), readxl::read_excel, path=location)





      share|improve this answer

























        up vote
        2
        down vote



        accepted










        Instead of reading the excel, provide the location in the lapply function. For example:



        location <- "D:/data_2016.xlsx"
        lapply(readxl::excel_sheets(location), readxl::read_excel, path=location)





        share|improve this answer























          up vote
          2
          down vote



          accepted







          up vote
          2
          down vote



          accepted






          Instead of reading the excel, provide the location in the lapply function. For example:



          location <- "D:/data_2016.xlsx"
          lapply(readxl::excel_sheets(location), readxl::read_excel, path=location)





          share|improve this answer












          Instead of reading the excel, provide the location in the lapply function. For example:



          location <- "D:/data_2016.xlsx"
          lapply(readxl::excel_sheets(location), readxl::read_excel, path=location)






          share|improve this answer












          share|improve this answer



          share|improve this answer










          answered Nov 11 at 2:30









          CIAndrews

          1616




          1616
























              up vote
              0
              down vote













              To get two different dataframes for 2 sheets. The following code will do the jon.



              import pandas as pd    
              excel_file_sheet1 = pd.read_excel("excel_file.xlsx", sheet_name="Sheet1")
              excel_file_sheet2 = pd.read_excel("excel_file.xlsx", sheet_name="Sheet22")





              share|improve this answer

























                up vote
                0
                down vote













                To get two different dataframes for 2 sheets. The following code will do the jon.



                import pandas as pd    
                excel_file_sheet1 = pd.read_excel("excel_file.xlsx", sheet_name="Sheet1")
                excel_file_sheet2 = pd.read_excel("excel_file.xlsx", sheet_name="Sheet22")





                share|improve this answer























                  up vote
                  0
                  down vote










                  up vote
                  0
                  down vote









                  To get two different dataframes for 2 sheets. The following code will do the jon.



                  import pandas as pd    
                  excel_file_sheet1 = pd.read_excel("excel_file.xlsx", sheet_name="Sheet1")
                  excel_file_sheet2 = pd.read_excel("excel_file.xlsx", sheet_name="Sheet22")





                  share|improve this answer












                  To get two different dataframes for 2 sheets. The following code will do the jon.



                  import pandas as pd    
                  excel_file_sheet1 = pd.read_excel("excel_file.xlsx", sheet_name="Sheet1")
                  excel_file_sheet2 = pd.read_excel("excel_file.xlsx", sheet_name="Sheet22")






                  share|improve this answer












                  share|improve this answer



                  share|improve this answer










                  answered Nov 11 at 2:33









                  Prometheus

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