how to reverse order y-axis values in ggplot2

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挽巷
挽巷 2020-12-20 00:56

I have this data frame y. I am trying to create a heatmap using ggplot. I would like to reverse the order of y-axis. The top value should be 00:00 and the values should be d

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  • 2020-12-20 01:33

    Since ggplot2 converts your y-axis values to a factor, just convert all values to the factor of interest in advance:

    library(ggplot2)
    y <- data.frame(DATE = structure(c(15809, 15809, 15809, 15809,
                                      15809, 15809, 15809, 15809, 15809, 15809, 15809, 15809, 15809,
                                      15809, 15809, 15809, 15809, 15809, 15809, 15809, 15809, 15809,
                                      15809, 15809, 15809, 15809, 15809, 15809, 15809, 15809, 15809,
                                      15809, 15809, 15809, 15809, 15809, 15809, 15809, 15809, 15809,
                                      15809, 15809, 15809, 15809, 15809, 15809, 15809, 15809, 15809,
                                      15809), class = "Date"),
                    Time = c("20:14", "20:29", "20:44",
                    "20:59", "21:14", "21:29", "21:44", "21:59", "22:14", "22:29",
                    "22:44", "22:59", "23:14", "23:29", "23:44", "23:59", "00:14",
                    "00:29", "00:44", "00:59", "01:14", "01:29", "01:44", "01:59",
                    "02:14", "02:29", "02:44", "02:59", "03:14", "03:29", "03:44",
                    "03:59", "04:14", "04:29", "04:44", "04:59", "05:14", "05:29",
                    "05:44", "05:59", "06:14", "06:29", "06:44", "06:59", "07:14",
                    "07:29", "07:44", "07:59", "08:14", "08:29"),
                    CPU = c(30, 30,
                    30, 31, 30, 27, 25, 23, 24, 22, 20, 21, 22, 21, 20, 20, 20, 15,
                    17, 15, 20, 16, 15, 16, 15, 14, 14, 11, 12, 11, 19, 22, 22, 21,
                    19, 20, 20, 17, 16, 10, 9, 9, 9, 10, 12, 13, 14, 14, 16, 16))
    y$Time <- factor(y$Time, levels=rev(sort(y$Time)))
    
    
    cols<-c("white","#F0FFFF","#BBFFFF","#00FFFF","#42C0FB","#1C86EE", "green","yellow","#C9821E", "#FF0000", "#FF0000")
    vals<-c(0,0.19,0.29,0.39, 0.49,0.59, 0.69, 0.79, 0.89, 0.90,1)
    brk<-c(20, 30, 40, 50, 60, 70, 80, 90, 100)
    ggplot(y,aes(DATE, Time, fill=CPU)) + geom_tile() + theme_bw() +
      scale_fill_gradientn(name="CPU Utilization", colours=cols, values=vals, limits=c(0,100), breaks = brk)
    

    plot as shown

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