如何让ggplot为每个刻度线显示一个标签

How to have ggplot show a label for each and every tick mark

这可能看起来很简单,但我找到的解决方案只会让它变得更加复杂。以下是我正在使用的可重现代码。有点迂回,但这是学习经验的一部分。在轴上使用 4 个标签添加比例 x 连续部分之前的结果。我需要显示每个时期(总共 24 个)。稍后我会担心文本的格式和角度,但在这一点上有点难过。包含 scale_x_continuous 项后,出现以下错误:

       Error in UseMethod("rescale") : 
       no applicable method for 'rescale' applied to an object of class "character"

       #Data generation
       Month1 <- c(201812,20191,20192,20193,20194,20195,20196,
        20197,20198,20199,201910,201911,201912,20201
        ,20202,20203,20204,20205,20206,20207
        ,20208,20209,202010,202011)
       annualjobgrowth<- c(44400,46000,42600,40500,42800,40500,36000,
                34000,32300,29900,21900,24500,21000,
                23300,16000,-6200,-275600,-249500,-149200,
                -136500,-129900,-122800,-113900,-109500)
       Rate <- 
       c(3.3,3.4,3.1,3.0,3.1,2.9,2.6,2.5,2.3,2.1,1.6,1.7,1.5,1.7,1.1,-0.4,
       -19.5,-17.6,-10.5,-9.6,-9.1,-8.6,-8.0,-7.7)
       cesyoy <- data.frame(Month1,annualjobgrowth, Rate)

      #Chart
      library(ggplot2)
      library(dplyr)
      library(lubridate)
      library(scales)


      cesyoy %>% mutate(year = substr(as.character(Month1),1,4),
              month = substr(as.character(Month1),5,7),
              date = as.Date(paste(year,month,"1",sep ="-"))) %>%
              ggplot() + geom_col(aes(x = date, y = annualjobgrowth))+
              scale_y_continuous()



    secondces<-cesyoy %>% mutate(year = substr(as.character(Month1),1,4),
                         month = substr(as.character(Month1),5,7),
                         date = as.Date(paste(year,month,"1",sep ="-"))) %>%
    ggplot() + geom_col(aes(x = date, y = annualjobgrowth),fill = "#00abff")+
    scale_y_continuous(labels=comma,breaks=c(50000,0,-50000,-100000,-150000,-200000,-250000))
    +scale_x_continuous(labels=as.character(x),breaks=x)+
    scale_fill_brewer(palette="Dark2")

使用scale_x_date格式化日期轴。调整您的代码,我们可以执行以下操作:

cesyoy %>% 
  mutate(year = substr(as.character(Month1),1,4),
         month = substr(as.character(Month1),5,7),
         date = as.Date(paste(year,month,"1",sep ="-"))) %>%
  ggplot() + 
  geom_col(aes(x = date, y = annualjobgrowth)) +
  scale_x_date(date_breaks="1 month", date_labels="%b\n%Y")

我为日期标签选择了一种特定格式,但您可以通过调整 date_labels 参数来调整它。有关格式化代码和选项的详细信息,请参阅 strftime 的帮助。

scale_x_date 代替了 scale_x_continuous,而不是补充它。对于给定的比例,您只能使用一个比例函数。如果您为 x 轴添加新的刻度,它将替换之前的 scale_x_***。因此,无论您想自定义 x 轴刻度,都可以在一次调用 scale_x_date.

中完成所有操作