Convert multiple Excel sheets into separate csv files





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Now I used the xslx2csv tool which I saw in other answers of similar questions on stackoverflow and run the code: xlsx2csv --all file.xlsx in my terminal. But all that does is print all the sheets of the xlsx file as a csv in my terminal instead of creating separate csv files in for each sheet my current directory.



This should be simple but I can't find simple answers..



How do I solve this? All help much appreciated!










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  • I think it's working properly, it's just not designed to split them all into separate files. Is this helpful?

    – extensionhelp
    Nov 21 '18 at 22:15


















0















Now I used the xslx2csv tool which I saw in other answers of similar questions on stackoverflow and run the code: xlsx2csv --all file.xlsx in my terminal. But all that does is print all the sheets of the xlsx file as a csv in my terminal instead of creating separate csv files in for each sheet my current directory.



This should be simple but I can't find simple answers..



How do I solve this? All help much appreciated!










share|improve this question























  • I think it's working properly, it's just not designed to split them all into separate files. Is this helpful?

    – extensionhelp
    Nov 21 '18 at 22:15














0












0








0








Now I used the xslx2csv tool which I saw in other answers of similar questions on stackoverflow and run the code: xlsx2csv --all file.xlsx in my terminal. But all that does is print all the sheets of the xlsx file as a csv in my terminal instead of creating separate csv files in for each sheet my current directory.



This should be simple but I can't find simple answers..



How do I solve this? All help much appreciated!










share|improve this question














Now I used the xslx2csv tool which I saw in other answers of similar questions on stackoverflow and run the code: xlsx2csv --all file.xlsx in my terminal. But all that does is print all the sheets of the xlsx file as a csv in my terminal instead of creating separate csv files in for each sheet my current directory.



This should be simple but I can't find simple answers..



How do I solve this? All help much appreciated!







excel csv command-line terminal type-conversion






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asked Nov 21 '18 at 21:04









TdebeusTdebeus

5171519




5171519













  • I think it's working properly, it's just not designed to split them all into separate files. Is this helpful?

    – extensionhelp
    Nov 21 '18 at 22:15



















  • I think it's working properly, it's just not designed to split them all into separate files. Is this helpful?

    – extensionhelp
    Nov 21 '18 at 22:15

















I think it's working properly, it's just not designed to split them all into separate files. Is this helpful?

– extensionhelp
Nov 21 '18 at 22:15





I think it's working properly, it's just not designed to split them all into separate files. Is this helpful?

– extensionhelp
Nov 21 '18 at 22:15












1 Answer
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Since you seem to be using R, here is an R-based solution. You need the {readxl}, {purrr}, and {readr} packages. I am “namespacing” all functions, so you know, where they are from.
I am using the example Excel file from {readxl}.



path_to_xlsx <- readxl::readxl_example("datasets.xlsx")


This Excel file has 4 sheets. The names of the sheets are read by excel_sheets.



sheet_names <- readxl::excel_sheets(path_to_xlsx)


Now we import all excel sheets into one list.



sheets <- purrr::map(sheet_names, ~ readxl::read_excel(path_to_xlsx, sheet = .x))


We get a list of 4 data.frames or tibbles. Let’s name them.



base::names(sheets) <- sheet_names


Now export all tibbles from the list to separate CSVs in one go.



purrr::iwalk(sheets, ~ readr::write_excel_csv2(x = .x, path = paste0(.y, ".csv")))

list.files(pattern = "\.csv$")
#> [1] "chickwts.csv" "iris.csv" "mtcars.csv" "quakes.csv"





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    Since you seem to be using R, here is an R-based solution. You need the {readxl}, {purrr}, and {readr} packages. I am “namespacing” all functions, so you know, where they are from.
    I am using the example Excel file from {readxl}.



    path_to_xlsx <- readxl::readxl_example("datasets.xlsx")


    This Excel file has 4 sheets. The names of the sheets are read by excel_sheets.



    sheet_names <- readxl::excel_sheets(path_to_xlsx)


    Now we import all excel sheets into one list.



    sheets <- purrr::map(sheet_names, ~ readxl::read_excel(path_to_xlsx, sheet = .x))


    We get a list of 4 data.frames or tibbles. Let’s name them.



    base::names(sheets) <- sheet_names


    Now export all tibbles from the list to separate CSVs in one go.



    purrr::iwalk(sheets, ~ readr::write_excel_csv2(x = .x, path = paste0(.y, ".csv")))

    list.files(pattern = "\.csv$")
    #> [1] "chickwts.csv" "iris.csv" "mtcars.csv" "quakes.csv"





    share|improve this answer




























      0















      Since you seem to be using R, here is an R-based solution. You need the {readxl}, {purrr}, and {readr} packages. I am “namespacing” all functions, so you know, where they are from.
      I am using the example Excel file from {readxl}.



      path_to_xlsx <- readxl::readxl_example("datasets.xlsx")


      This Excel file has 4 sheets. The names of the sheets are read by excel_sheets.



      sheet_names <- readxl::excel_sheets(path_to_xlsx)


      Now we import all excel sheets into one list.



      sheets <- purrr::map(sheet_names, ~ readxl::read_excel(path_to_xlsx, sheet = .x))


      We get a list of 4 data.frames or tibbles. Let’s name them.



      base::names(sheets) <- sheet_names


      Now export all tibbles from the list to separate CSVs in one go.



      purrr::iwalk(sheets, ~ readr::write_excel_csv2(x = .x, path = paste0(.y, ".csv")))

      list.files(pattern = "\.csv$")
      #> [1] "chickwts.csv" "iris.csv" "mtcars.csv" "quakes.csv"





      share|improve this answer


























        0












        0








        0








        Since you seem to be using R, here is an R-based solution. You need the {readxl}, {purrr}, and {readr} packages. I am “namespacing” all functions, so you know, where they are from.
        I am using the example Excel file from {readxl}.



        path_to_xlsx <- readxl::readxl_example("datasets.xlsx")


        This Excel file has 4 sheets. The names of the sheets are read by excel_sheets.



        sheet_names <- readxl::excel_sheets(path_to_xlsx)


        Now we import all excel sheets into one list.



        sheets <- purrr::map(sheet_names, ~ readxl::read_excel(path_to_xlsx, sheet = .x))


        We get a list of 4 data.frames or tibbles. Let’s name them.



        base::names(sheets) <- sheet_names


        Now export all tibbles from the list to separate CSVs in one go.



        purrr::iwalk(sheets, ~ readr::write_excel_csv2(x = .x, path = paste0(.y, ".csv")))

        list.files(pattern = "\.csv$")
        #> [1] "chickwts.csv" "iris.csv" "mtcars.csv" "quakes.csv"





        share|improve this answer














        Since you seem to be using R, here is an R-based solution. You need the {readxl}, {purrr}, and {readr} packages. I am “namespacing” all functions, so you know, where they are from.
        I am using the example Excel file from {readxl}.



        path_to_xlsx <- readxl::readxl_example("datasets.xlsx")


        This Excel file has 4 sheets. The names of the sheets are read by excel_sheets.



        sheet_names <- readxl::excel_sheets(path_to_xlsx)


        Now we import all excel sheets into one list.



        sheets <- purrr::map(sheet_names, ~ readxl::read_excel(path_to_xlsx, sheet = .x))


        We get a list of 4 data.frames or tibbles. Let’s name them.



        base::names(sheets) <- sheet_names


        Now export all tibbles from the list to separate CSVs in one go.



        purrr::iwalk(sheets, ~ readr::write_excel_csv2(x = .x, path = paste0(.y, ".csv")))

        list.files(pattern = "\.csv$")
        #> [1] "chickwts.csv" "iris.csv" "mtcars.csv" "quakes.csv"






        share|improve this answer












        share|improve this answer



        share|improve this answer










        answered Dec 21 '18 at 15:09









        dpprdandpprdan

        895717




        895717
































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