Faster way to get year from large data set in R










0















Is it any faster way to get the year from large data set (around 1GB) in R?



Currently I used data$year <- format(as.Date(data$pickup_datatime), "%Y") to get the year, but it took very long time.










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  • Do both functions take a long time, or is it one or the other? You might try lubridate::year() instead of format.

    – Mako212
    Nov 15 '18 at 20:18






  • 3





    Instead of parsing the dates, you may try substr or stringi::stri_sub, as I did here when grabbing hour: Fastest way to extract hour from time (HH:MM). When posting a question about speed, it's good if you also provide easily reproducible data of sufficient size to try the code on. Cheers.

    – Henrik
    Nov 15 '18 at 20:47







  • 1





    Possible duplicate of Fastest way to extract hour from time (HH:MM)

    – Florian
    Nov 15 '18 at 21:10











  • ...or at least post some sample data.

    – Gregor
    Nov 15 '18 at 21:10















0















Is it any faster way to get the year from large data set (around 1GB) in R?



Currently I used data$year <- format(as.Date(data$pickup_datatime), "%Y") to get the year, but it took very long time.










share|improve this question
























  • Do both functions take a long time, or is it one or the other? You might try lubridate::year() instead of format.

    – Mako212
    Nov 15 '18 at 20:18






  • 3





    Instead of parsing the dates, you may try substr or stringi::stri_sub, as I did here when grabbing hour: Fastest way to extract hour from time (HH:MM). When posting a question about speed, it's good if you also provide easily reproducible data of sufficient size to try the code on. Cheers.

    – Henrik
    Nov 15 '18 at 20:47







  • 1





    Possible duplicate of Fastest way to extract hour from time (HH:MM)

    – Florian
    Nov 15 '18 at 21:10











  • ...or at least post some sample data.

    – Gregor
    Nov 15 '18 at 21:10













0












0








0








Is it any faster way to get the year from large data set (around 1GB) in R?



Currently I used data$year <- format(as.Date(data$pickup_datatime), "%Y") to get the year, but it took very long time.










share|improve this question
















Is it any faster way to get the year from large data set (around 1GB) in R?



Currently I used data$year <- format(as.Date(data$pickup_datatime), "%Y") to get the year, but it took very long time.







r date






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edited Nov 15 '18 at 20:57









Henrik

42.3k994110




42.3k994110










asked Nov 15 '18 at 20:13









Tomislav FridwaldTomislav Fridwald

262




262












  • Do both functions take a long time, or is it one or the other? You might try lubridate::year() instead of format.

    – Mako212
    Nov 15 '18 at 20:18






  • 3





    Instead of parsing the dates, you may try substr or stringi::stri_sub, as I did here when grabbing hour: Fastest way to extract hour from time (HH:MM). When posting a question about speed, it's good if you also provide easily reproducible data of sufficient size to try the code on. Cheers.

    – Henrik
    Nov 15 '18 at 20:47







  • 1





    Possible duplicate of Fastest way to extract hour from time (HH:MM)

    – Florian
    Nov 15 '18 at 21:10











  • ...or at least post some sample data.

    – Gregor
    Nov 15 '18 at 21:10

















  • Do both functions take a long time, or is it one or the other? You might try lubridate::year() instead of format.

    – Mako212
    Nov 15 '18 at 20:18






  • 3





    Instead of parsing the dates, you may try substr or stringi::stri_sub, as I did here when grabbing hour: Fastest way to extract hour from time (HH:MM). When posting a question about speed, it's good if you also provide easily reproducible data of sufficient size to try the code on. Cheers.

    – Henrik
    Nov 15 '18 at 20:47







  • 1





    Possible duplicate of Fastest way to extract hour from time (HH:MM)

    – Florian
    Nov 15 '18 at 21:10











  • ...or at least post some sample data.

    – Gregor
    Nov 15 '18 at 21:10
















Do both functions take a long time, or is it one or the other? You might try lubridate::year() instead of format.

– Mako212
Nov 15 '18 at 20:18





Do both functions take a long time, or is it one or the other? You might try lubridate::year() instead of format.

– Mako212
Nov 15 '18 at 20:18




3




3





Instead of parsing the dates, you may try substr or stringi::stri_sub, as I did here when grabbing hour: Fastest way to extract hour from time (HH:MM). When posting a question about speed, it's good if you also provide easily reproducible data of sufficient size to try the code on. Cheers.

– Henrik
Nov 15 '18 at 20:47






Instead of parsing the dates, you may try substr or stringi::stri_sub, as I did here when grabbing hour: Fastest way to extract hour from time (HH:MM). When posting a question about speed, it's good if you also provide easily reproducible data of sufficient size to try the code on. Cheers.

– Henrik
Nov 15 '18 at 20:47





1




1





Possible duplicate of Fastest way to extract hour from time (HH:MM)

– Florian
Nov 15 '18 at 21:10





Possible duplicate of Fastest way to extract hour from time (HH:MM)

– Florian
Nov 15 '18 at 21:10













...or at least post some sample data.

– Gregor
Nov 15 '18 at 21:10





...or at least post some sample data.

– Gregor
Nov 15 '18 at 21:10












1 Answer
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the lubridate package has a built-in function to get the year from a date-like object. Here's the use for your case:



data$year <- lubridate::year(data$pickup_datatime)





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    1 Answer
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    0














    the lubridate package has a built-in function to get the year from a date-like object. Here's the use for your case:



    data$year <- lubridate::year(data$pickup_datatime)





    share|improve this answer



























      0














      the lubridate package has a built-in function to get the year from a date-like object. Here's the use for your case:



      data$year <- lubridate::year(data$pickup_datatime)





      share|improve this answer

























        0












        0








        0







        the lubridate package has a built-in function to get the year from a date-like object. Here's the use for your case:



        data$year <- lubridate::year(data$pickup_datatime)





        share|improve this answer













        the lubridate package has a built-in function to get the year from a date-like object. Here's the use for your case:



        data$year <- lubridate::year(data$pickup_datatime)






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        share|improve this answer










        answered Nov 15 '18 at 23:12









        dmcadmca

        4681515




        4681515





























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