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How to change POSIXct objects display in facets title?


How to change facet labels?Custom Merge Function in RLooping subsets in plmhow to make a bar plot for a list of dataframes?ggplot/mapping US counties — problems with visualization shapes in R“minimum count is not zero” error for zero inflated modelMatplot not plotting datasetR error: “invalid type (NULL) for variable”Timeseries and its visualisationHow can I add a regression plot for a multiple regression for certain x values?






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








0















I am trying to create a ggplot2 graph using facet_grid(). Each facet has to be entitled with a date (here a POSIXct object) and I would like to change the way it is displayed.



How can i control the way POSIXct objects displays in ggplot2 facets title ?



Ex : this is how it is displayed : "2019-03-29"
and here is how I would like to see it written : "29/03/2018"



I have already looked at the labeller function but I can't figure out how to use it to change the way POSIXct object display. Maybe I am missing something.
I know facet labels can be "manually" changed but here I want a solution that works for any POSIXct object.



# create a dummy dataframe named ex
ex = structure(list(date = structure(c(1510531200, 1510531200, 1522195200,
1522195200), class = c("POSIXct", "POSIXt"), tzone = "UTC"),
cat = c("a", "b", "a", "b"), measure = c(0.0777420913800597,
0.71574708330445, 0.725231731543317, 0.217509124660864)), row.names = c(NA,
-4L), vars = "date", indices = list(0:1, 2:3), group_sizes = c(2L,
2L), biggest_group_size = 2L, labels = structure(list(date = structure(c(1510531200,
1522195200), class = c("POSIXct", "POSIXt"), tzone = "UTC")), row.names = c(NA,
-2L), class = "data.frame", vars = "date", indices = list(c(0L,
1L, 8L, 9L, 16L, 17L), c(2L, 3L, 4L, 5L, 10L, 11L, 12L, 13L,
18L, 19L, 20L, 21L), c(6L, 7L, 14L, 15L, 22L, 23L)), group_sizes = c(6L,
12L, 6L), biggest_group_size = 12L, labels = structure(list(date = structure(c(1510531200,
1522195200, 1543881600), class = c("POSIXct", "POSIXt"), tzone = "UTC")), row.names = c(NA,
-3L), class = "data.frame", vars = "date"), drop = TRUE), drop = TRUE, class = c("grouped_df",
"tbl_df", "tbl", "data.frame"))

# create a graph

plot_ex = ggplot(ex, aes(x = cat, y = measure)) +
geom_bar(stat = "identity") +
facet_grid(.~date)
print(plot_ex)


The facets are named "2017-11-13" and "2018-03-28". I want them to be "13/11/2017" and "28/03/2018".



Many thanks for your help,










share|improve this question






























    0















    I am trying to create a ggplot2 graph using facet_grid(). Each facet has to be entitled with a date (here a POSIXct object) and I would like to change the way it is displayed.



    How can i control the way POSIXct objects displays in ggplot2 facets title ?



    Ex : this is how it is displayed : "2019-03-29"
    and here is how I would like to see it written : "29/03/2018"



    I have already looked at the labeller function but I can't figure out how to use it to change the way POSIXct object display. Maybe I am missing something.
    I know facet labels can be "manually" changed but here I want a solution that works for any POSIXct object.



    # create a dummy dataframe named ex
    ex = structure(list(date = structure(c(1510531200, 1510531200, 1522195200,
    1522195200), class = c("POSIXct", "POSIXt"), tzone = "UTC"),
    cat = c("a", "b", "a", "b"), measure = c(0.0777420913800597,
    0.71574708330445, 0.725231731543317, 0.217509124660864)), row.names = c(NA,
    -4L), vars = "date", indices = list(0:1, 2:3), group_sizes = c(2L,
    2L), biggest_group_size = 2L, labels = structure(list(date = structure(c(1510531200,
    1522195200), class = c("POSIXct", "POSIXt"), tzone = "UTC")), row.names = c(NA,
    -2L), class = "data.frame", vars = "date", indices = list(c(0L,
    1L, 8L, 9L, 16L, 17L), c(2L, 3L, 4L, 5L, 10L, 11L, 12L, 13L,
    18L, 19L, 20L, 21L), c(6L, 7L, 14L, 15L, 22L, 23L)), group_sizes = c(6L,
    12L, 6L), biggest_group_size = 12L, labels = structure(list(date = structure(c(1510531200,
    1522195200, 1543881600), class = c("POSIXct", "POSIXt"), tzone = "UTC")), row.names = c(NA,
    -3L), class = "data.frame", vars = "date"), drop = TRUE), drop = TRUE, class = c("grouped_df",
    "tbl_df", "tbl", "data.frame"))

    # create a graph

    plot_ex = ggplot(ex, aes(x = cat, y = measure)) +
    geom_bar(stat = "identity") +
    facet_grid(.~date)
    print(plot_ex)


    The facets are named "2017-11-13" and "2018-03-28". I want them to be "13/11/2017" and "28/03/2018".



    Many thanks for your help,










    share|improve this question


























      0












      0








      0


      1






      I am trying to create a ggplot2 graph using facet_grid(). Each facet has to be entitled with a date (here a POSIXct object) and I would like to change the way it is displayed.



      How can i control the way POSIXct objects displays in ggplot2 facets title ?



      Ex : this is how it is displayed : "2019-03-29"
      and here is how I would like to see it written : "29/03/2018"



      I have already looked at the labeller function but I can't figure out how to use it to change the way POSIXct object display. Maybe I am missing something.
      I know facet labels can be "manually" changed but here I want a solution that works for any POSIXct object.



      # create a dummy dataframe named ex
      ex = structure(list(date = structure(c(1510531200, 1510531200, 1522195200,
      1522195200), class = c("POSIXct", "POSIXt"), tzone = "UTC"),
      cat = c("a", "b", "a", "b"), measure = c(0.0777420913800597,
      0.71574708330445, 0.725231731543317, 0.217509124660864)), row.names = c(NA,
      -4L), vars = "date", indices = list(0:1, 2:3), group_sizes = c(2L,
      2L), biggest_group_size = 2L, labels = structure(list(date = structure(c(1510531200,
      1522195200), class = c("POSIXct", "POSIXt"), tzone = "UTC")), row.names = c(NA,
      -2L), class = "data.frame", vars = "date", indices = list(c(0L,
      1L, 8L, 9L, 16L, 17L), c(2L, 3L, 4L, 5L, 10L, 11L, 12L, 13L,
      18L, 19L, 20L, 21L), c(6L, 7L, 14L, 15L, 22L, 23L)), group_sizes = c(6L,
      12L, 6L), biggest_group_size = 12L, labels = structure(list(date = structure(c(1510531200,
      1522195200, 1543881600), class = c("POSIXct", "POSIXt"), tzone = "UTC")), row.names = c(NA,
      -3L), class = "data.frame", vars = "date"), drop = TRUE), drop = TRUE, class = c("grouped_df",
      "tbl_df", "tbl", "data.frame"))

      # create a graph

      plot_ex = ggplot(ex, aes(x = cat, y = measure)) +
      geom_bar(stat = "identity") +
      facet_grid(.~date)
      print(plot_ex)


      The facets are named "2017-11-13" and "2018-03-28". I want them to be "13/11/2017" and "28/03/2018".



      Many thanks for your help,










      share|improve this question
















      I am trying to create a ggplot2 graph using facet_grid(). Each facet has to be entitled with a date (here a POSIXct object) and I would like to change the way it is displayed.



      How can i control the way POSIXct objects displays in ggplot2 facets title ?



      Ex : this is how it is displayed : "2019-03-29"
      and here is how I would like to see it written : "29/03/2018"



      I have already looked at the labeller function but I can't figure out how to use it to change the way POSIXct object display. Maybe I am missing something.
      I know facet labels can be "manually" changed but here I want a solution that works for any POSIXct object.



      # create a dummy dataframe named ex
      ex = structure(list(date = structure(c(1510531200, 1510531200, 1522195200,
      1522195200), class = c("POSIXct", "POSIXt"), tzone = "UTC"),
      cat = c("a", "b", "a", "b"), measure = c(0.0777420913800597,
      0.71574708330445, 0.725231731543317, 0.217509124660864)), row.names = c(NA,
      -4L), vars = "date", indices = list(0:1, 2:3), group_sizes = c(2L,
      2L), biggest_group_size = 2L, labels = structure(list(date = structure(c(1510531200,
      1522195200), class = c("POSIXct", "POSIXt"), tzone = "UTC")), row.names = c(NA,
      -2L), class = "data.frame", vars = "date", indices = list(c(0L,
      1L, 8L, 9L, 16L, 17L), c(2L, 3L, 4L, 5L, 10L, 11L, 12L, 13L,
      18L, 19L, 20L, 21L), c(6L, 7L, 14L, 15L, 22L, 23L)), group_sizes = c(6L,
      12L, 6L), biggest_group_size = 12L, labels = structure(list(date = structure(c(1510531200,
      1522195200, 1543881600), class = c("POSIXct", "POSIXt"), tzone = "UTC")), row.names = c(NA,
      -3L), class = "data.frame", vars = "date"), drop = TRUE), drop = TRUE, class = c("grouped_df",
      "tbl_df", "tbl", "data.frame"))

      # create a graph

      plot_ex = ggplot(ex, aes(x = cat, y = measure)) +
      geom_bar(stat = "identity") +
      facet_grid(.~date)
      print(plot_ex)


      The facets are named "2017-11-13" and "2018-03-28". I want them to be "13/11/2017" and "28/03/2018".



      Many thanks for your help,







      r ggplot2 posixct






      share|improve this question















      share|improve this question













      share|improve this question




      share|improve this question








      edited Mar 26 at 18:04









      Muhammad usman

      17311 bronze badges




      17311 bronze badges










      asked Mar 26 at 17:31









      PaulPaul

      658 bronze badges




      658 bronze badges






















          2 Answers
          2






          active

          oldest

          votes


















          2














          You can change how dates are printed with format. Using that, we can set an appropriate labeller, without changing the data.frame column.



          ggplot(ex, aes(x = cat, y = measure)) +
          geom_bar(stat = "identity") +
          facet_grid(.~date, labeller = function(x) format(x, '%d/%m/%Y'))


          enter image description here






          share|improve this answer























          • Many thanks, I completely missed this "format()" option when I tested the code.

            – Paul
            Mar 26 at 17:47


















          1














          We can use strftime.



          ex$date <- strftime(ex$date, format="%d/%m/%Y")

          library(ggplot2)
          plot_ex <- ggplot(ex, aes(x=cat, y=measure)) +
          geom_bar(stat="identity") +
          facet_grid(.~date)
          print(plot_ex)


          enter image description here






          share|improve this answer


















          • 1





            Thank you very much, this answer works and is nice when you can modify the data outside the graph creation process. However, here I can not really do that (my bad I should have explained better in my post).

            – Paul
            Mar 26 at 17:48














          Your Answer






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          2 Answers
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          2 Answers
          2






          active

          oldest

          votes









          active

          oldest

          votes






          active

          oldest

          votes









          2














          You can change how dates are printed with format. Using that, we can set an appropriate labeller, without changing the data.frame column.



          ggplot(ex, aes(x = cat, y = measure)) +
          geom_bar(stat = "identity") +
          facet_grid(.~date, labeller = function(x) format(x, '%d/%m/%Y'))


          enter image description here






          share|improve this answer























          • Many thanks, I completely missed this "format()" option when I tested the code.

            – Paul
            Mar 26 at 17:47















          2














          You can change how dates are printed with format. Using that, we can set an appropriate labeller, without changing the data.frame column.



          ggplot(ex, aes(x = cat, y = measure)) +
          geom_bar(stat = "identity") +
          facet_grid(.~date, labeller = function(x) format(x, '%d/%m/%Y'))


          enter image description here






          share|improve this answer























          • Many thanks, I completely missed this "format()" option when I tested the code.

            – Paul
            Mar 26 at 17:47













          2












          2








          2







          You can change how dates are printed with format. Using that, we can set an appropriate labeller, without changing the data.frame column.



          ggplot(ex, aes(x = cat, y = measure)) +
          geom_bar(stat = "identity") +
          facet_grid(.~date, labeller = function(x) format(x, '%d/%m/%Y'))


          enter image description here






          share|improve this answer













          You can change how dates are printed with format. Using that, we can set an appropriate labeller, without changing the data.frame column.



          ggplot(ex, aes(x = cat, y = measure)) +
          geom_bar(stat = "identity") +
          facet_grid(.~date, labeller = function(x) format(x, '%d/%m/%Y'))


          enter image description here







          share|improve this answer












          share|improve this answer



          share|improve this answer










          answered Mar 26 at 17:38









          AxemanAxeman

          20.4k5 gold badges48 silver badges62 bronze badges




          20.4k5 gold badges48 silver badges62 bronze badges












          • Many thanks, I completely missed this "format()" option when I tested the code.

            – Paul
            Mar 26 at 17:47

















          • Many thanks, I completely missed this "format()" option when I tested the code.

            – Paul
            Mar 26 at 17:47
















          Many thanks, I completely missed this "format()" option when I tested the code.

          – Paul
          Mar 26 at 17:47





          Many thanks, I completely missed this "format()" option when I tested the code.

          – Paul
          Mar 26 at 17:47













          1














          We can use strftime.



          ex$date <- strftime(ex$date, format="%d/%m/%Y")

          library(ggplot2)
          plot_ex <- ggplot(ex, aes(x=cat, y=measure)) +
          geom_bar(stat="identity") +
          facet_grid(.~date)
          print(plot_ex)


          enter image description here






          share|improve this answer


















          • 1





            Thank you very much, this answer works and is nice when you can modify the data outside the graph creation process. However, here I can not really do that (my bad I should have explained better in my post).

            – Paul
            Mar 26 at 17:48
















          1














          We can use strftime.



          ex$date <- strftime(ex$date, format="%d/%m/%Y")

          library(ggplot2)
          plot_ex <- ggplot(ex, aes(x=cat, y=measure)) +
          geom_bar(stat="identity") +
          facet_grid(.~date)
          print(plot_ex)


          enter image description here






          share|improve this answer


















          • 1





            Thank you very much, this answer works and is nice when you can modify the data outside the graph creation process. However, here I can not really do that (my bad I should have explained better in my post).

            – Paul
            Mar 26 at 17:48














          1












          1








          1







          We can use strftime.



          ex$date <- strftime(ex$date, format="%d/%m/%Y")

          library(ggplot2)
          plot_ex <- ggplot(ex, aes(x=cat, y=measure)) +
          geom_bar(stat="identity") +
          facet_grid(.~date)
          print(plot_ex)


          enter image description here






          share|improve this answer













          We can use strftime.



          ex$date <- strftime(ex$date, format="%d/%m/%Y")

          library(ggplot2)
          plot_ex <- ggplot(ex, aes(x=cat, y=measure)) +
          geom_bar(stat="identity") +
          facet_grid(.~date)
          print(plot_ex)


          enter image description here







          share|improve this answer












          share|improve this answer



          share|improve this answer










          answered Mar 26 at 17:36









          jay.sfjay.sf

          10.4k3 gold badges21 silver badges45 bronze badges




          10.4k3 gold badges21 silver badges45 bronze badges







          • 1





            Thank you very much, this answer works and is nice when you can modify the data outside the graph creation process. However, here I can not really do that (my bad I should have explained better in my post).

            – Paul
            Mar 26 at 17:48













          • 1





            Thank you very much, this answer works and is nice when you can modify the data outside the graph creation process. However, here I can not really do that (my bad I should have explained better in my post).

            – Paul
            Mar 26 at 17:48








          1




          1





          Thank you very much, this answer works and is nice when you can modify the data outside the graph creation process. However, here I can not really do that (my bad I should have explained better in my post).

          – Paul
          Mar 26 at 17:48






          Thank you very much, this answer works and is nice when you can modify the data outside the graph creation process. However, here I can not really do that (my bad I should have explained better in my post).

          – Paul
          Mar 26 at 17:48


















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