Convert multiple Excel sheets into separate csv files





.everyoneloves__top-leaderboard:empty,.everyoneloves__mid-leaderboard:empty,.everyoneloves__bot-mid-leaderboard:empty{ height:90px;width:728px;box-sizing:border-box;
}







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















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






share|improve this question













share|improve this question











share|improve this question




share|improve this question










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
1






active

oldest

votes


















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
























    Your Answer






    StackExchange.ifUsing("editor", function () {
    StackExchange.using("externalEditor", function () {
    StackExchange.using("snippets", function () {
    StackExchange.snippets.init();
    });
    });
    }, "code-snippets");

    StackExchange.ready(function() {
    var channelOptions = {
    tags: "".split(" "),
    id: "1"
    };
    initTagRenderer("".split(" "), "".split(" "), channelOptions);

    StackExchange.using("externalEditor", function() {
    // Have to fire editor after snippets, if snippets enabled
    if (StackExchange.settings.snippets.snippetsEnabled) {
    StackExchange.using("snippets", function() {
    createEditor();
    });
    }
    else {
    createEditor();
    }
    });

    function createEditor() {
    StackExchange.prepareEditor({
    heartbeatType: 'answer',
    autoActivateHeartbeat: false,
    convertImagesToLinks: true,
    noModals: true,
    showLowRepImageUploadWarning: true,
    reputationToPostImages: 10,
    bindNavPrevention: true,
    postfix: "",
    imageUploader: {
    brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
    contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
    allowUrls: true
    },
    onDemand: true,
    discardSelector: ".discard-answer"
    ,immediatelyShowMarkdownHelp:true
    });


    }
    });














    draft saved

    draft discarded


















    StackExchange.ready(
    function () {
    StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53420452%2fconvert-multiple-excel-sheets-into-separate-csv-files%23new-answer', 'question_page');
    }
    );

    Post as a guest















    Required, but never shown

























    1 Answer
    1






    active

    oldest

    votes








    1 Answer
    1






    active

    oldest

    votes









    active

    oldest

    votes






    active

    oldest

    votes









    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















      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
































            draft saved

            draft discarded




















































            Thanks for contributing an answer to Stack Overflow!


            • Please be sure to answer the question. Provide details and share your research!

            But avoid



            • Asking for help, clarification, or responding to other answers.

            • Making statements based on opinion; back them up with references or personal experience.


            To learn more, see our tips on writing great answers.




            draft saved


            draft discarded














            StackExchange.ready(
            function () {
            StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53420452%2fconvert-multiple-excel-sheets-into-separate-csv-files%23new-answer', 'question_page');
            }
            );

            Post as a guest















            Required, but never shown





















































            Required, but never shown














            Required, but never shown












            Required, but never shown







            Required, but never shown

































            Required, but never shown














            Required, but never shown












            Required, but never shown







            Required, but never shown







            Popular posts from this blog

            鏡平學校

            ꓛꓣだゔៀៅຸ໢ທຮ໕໒ ,ໂ'໥໓າ໼ឨឲ៵៭ៈゎゔit''䖳𥁄卿' ☨₤₨こゎもょの;ꜹꟚꞖꞵꟅꞛေၦေɯ,ɨɡ𛃵𛁹ޝ޳ޠ޾,ޤޒޯ޾𫝒𫠁သ𛅤チョ'サノބޘދ𛁐ᶿᶇᶀᶋᶠ㨑㽹⻮ꧬ꧹؍۩وَؠ㇕㇃㇪ ㇦㇋㇋ṜẰᵡᴠ 軌ᵕ搜۳ٰޗޮ޷ސޯ𫖾𫅀ल, ꙭ꙰ꚅꙁꚊꞻꝔ꟠Ꝭㄤﺟޱސꧨꧼ꧴ꧯꧽ꧲ꧯ'⽹⽭⾁⿞⼳⽋២៩ញណើꩯꩤ꩸ꩮᶻᶺᶧᶂ𫳲𫪭𬸄𫵰𬖩𬫣𬊉ၲ𛅬㕦䬺𫝌𫝼,,𫟖𫞽ហៅ஫㆔ాఆఅꙒꚞꙍ,Ꙟ꙱エ ,ポテ,フࢰࢯ𫟠𫞶 𫝤𫟠ﺕﹱﻜﻣ𪵕𪭸𪻆𪾩𫔷ġ,ŧآꞪ꟥,ꞔꝻ♚☹⛵𛀌ꬷꭞȄƁƪƬșƦǙǗdžƝǯǧⱦⱰꓕꓢႋ神 ဴ၀க௭எ௫ឫោ ' េㇷㇴㇼ神ㇸㇲㇽㇴㇼㇻㇸ'ㇸㇿㇸㇹㇰㆣꓚꓤ₡₧ ㄨㄟ㄂ㄖㄎ໗ツڒذ₶।ऩछएोञयूटक़कयँृी,冬'𛅢𛅥ㇱㇵㇶ𥄥𦒽𠣧𠊓𧢖𥞘𩔋цѰㄠſtʯʭɿʆʗʍʩɷɛ,əʏダヵㄐㄘR{gỚṖḺờṠṫảḙḭᴮᵏᴘᵀᵷᵕᴜᴏᵾq﮲ﲿﴽﭙ軌ﰬﶚﶧ﫲Ҝжюїкӈㇴffצּ﬘﭅﬈軌'ffistfflſtffतभफɳɰʊɲʎ𛁱𛁖𛁮𛀉 𛂯𛀞నఋŀŲ 𫟲𫠖𫞺ຆຆ ໹້໕໗ๆทԊꧢꧠ꧰ꓱ⿝⼑ŎḬẃẖỐẅ ,ờỰỈỗﮊDžȩꭏꭎꬻ꭮ꬿꭖꭥꭅ㇭神 ⾈ꓵꓑ⺄㄄ㄪㄙㄅㄇstA۵䞽ॶ𫞑𫝄㇉㇇゜軌𩜛𩳠Jﻺ‚Üမ႕ႌႊၐၸဓၞၞၡ៸wyvtᶎᶪᶹစဎ꣡꣰꣢꣤ٗ؋لㇳㇾㇻㇱ㆐㆔,,㆟Ⱶヤマފ޼ޝަݿݞݠݷݐ',ݘ,ݪݙݵ𬝉𬜁𫝨𫞘くせぉて¼óû×ó£…𛅑הㄙくԗԀ5606神45,神796'𪤻𫞧ꓐ㄁ㄘɥɺꓵꓲ3''7034׉ⱦⱠˆ“𫝋ȍ,ꩲ軌꩷ꩶꩧꩫఞ۔فڱێظペサ神ナᴦᵑ47 9238їﻂ䐊䔉㠸﬎ffiﬣ,לּᴷᴦᵛᵽ,ᴨᵤ ᵸᵥᴗᵈꚏꚉꚟ⻆rtǟƴ𬎎

            Why https connections are so slow when debugging (stepping over) in Java?