堆叠条形图上的R ggplot标签

时间:2018-09-20 23:50:45

标签: r ggplot2 geom-text

我有一些数据需要放入堆栈条形图中,但是当我添加计数标签时,有些标签在类别上方,而有些标签在类别下方。我尝试修改geom_text函数的位置参数无济于事。

下面是一个可重现的示例,显示了位于该类别上方的“ Under”类别座椅的标签和位于栏内的“ Over”类别座椅的标签。

library(tidyverse)

data.frame(AgeGroup = sample(c(rep("Over",10),"Under"), 6000, replace = TRUE),
DueDate = sample( 
         seq( as.Date("2015-01-01"), 
              as.Date("2015-06-30"), by="1 month") ,  
         6000,replace = TRUE),
             stringsAsFactors = TRUE) %>%
group_by(AgeGroup,DueDate) %>%
  tally() %>% ungroup %>% 
  ggplot() +
  geom_bar(aes(x=DueDate, y=n, fill = AgeGroup),stat = "identity") +
  geom_text(aes(x=DueDate, y=n
            ,label = prettyNum(n,big.mark = ","))
        , vjust = 0,  size = 2) +
  scale_y_continuous(labels = scales::comma) +
  theme_bw() +
  labs(title="Where are the labels")

下面是输出图表。 enter image description here

1 个答案:

答案 0 :(得分:1)

只需将from flask_login import current_user from my_app.tests.base import BaseTest class MyTests(BaseTest): def test_a(self): with self.app: print current_user 用作app.config['LOGIN_DISABLED'] = False的{​​{1}}位置,它将始终落在栏内:

app.login_manager._login_disabled = False

enter image description here

编辑:该快速解决方案仅适用于您的特定示例。如果每个条形有两个以上类别,或者值分布更均匀,则它将不会显示。即:

n/2

enter image description here

因此,这是一个通用的解决方案,它在数据框(y)上添加了一个“位置”列,以与geom_text()一起使用并将标签准确地放置在它们所属的位置:

library(tidyverse)

data.frame(AgeGroup = sample(c(rep("Over",10),"Under"), 6000, replace = TRUE),
           DueDate = sample( 
               seq( as.Date("2015-01-01"), 
                    as.Date("2015-06-30"), by="1 month") ,  
               6000,replace = TRUE),
           stringsAsFactors = TRUE) %>%
    group_by(AgeGroup,DueDate) %>%
    tally() %>% ungroup %>% 
    ggplot() +
    geom_bar(aes(x=DueDate, y=n, fill = AgeGroup),stat = "identity") +
    geom_text(aes(x=DueDate, y=n/2
                  ,label = prettyNum(n,big.mark = ","))
              , vjust = 0,  size = 2) +
    scale_y_continuous(labels = scales::comma) +
    theme_bw() +
    labs(title="Where are the labels")

enter image description here