Piping, splitting, and zipping a CSV in LinuxWhat is the best way to find a list of several strings within a...

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Piping, splitting, and zipping a CSV in Linux


What is the best way to find a list of several strings within a large text fileIssues Splitting CSV filesawk and system and print and append to csv fileCount CSV columns and removeUsing bash to swap first and second columns in CSVSplitting text file into CSV with multiple delimiters in bash?csv filter on linux bash






.everyoneloves__top-leaderboard:empty,.everyoneloves__mid-leaderboard:empty,.everyoneloves__bot-mid-leaderboard:empty{
margin-bottom:0;
}








0















I have some large CSV that need to be processed. I need them pipe delimited, split into about 900,000 rows each, and gzipped



I have tried several methods. Currently I am using pandas to process the CSVs, everything else is written in Python. It just feels a little too slow.



What’s the fastest method?










share|improve this question







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    0















    I have some large CSV that need to be processed. I need them pipe delimited, split into about 900,000 rows each, and gzipped



    I have tried several methods. Currently I am using pandas to process the CSVs, everything else is written in Python. It just feels a little too slow.



    What’s the fastest method?










    share|improve this question







    New contributor



    Jedi_mc is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
    Check out our Code of Conduct.
























      0












      0








      0








      I have some large CSV that need to be processed. I need them pipe delimited, split into about 900,000 rows each, and gzipped



      I have tried several methods. Currently I am using pandas to process the CSVs, everything else is written in Python. It just feels a little too slow.



      What’s the fastest method?










      share|improve this question







      New contributor



      Jedi_mc is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.











      I have some large CSV that need to be processed. I need them pipe delimited, split into about 900,000 rows each, and gzipped



      I have tried several methods. Currently I am using pandas to process the CSVs, everything else is written in Python. It just feels a little too slow.



      What’s the fastest method?







      shell-script awk python csv csvkit






      share|improve this question







      New contributor



      Jedi_mc is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.










      share|improve this question







      New contributor



      Jedi_mc is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.








      share|improve this question




      share|improve this question






      New contributor



      Jedi_mc is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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      asked 51 mins ago









      Jedi_mcJedi_mc

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      Jedi_mc is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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