6
Data <- data.frame(Time = c(1, 1, 1, 2, 2, 2, 3, 3, 3),
                   Group = c("A", "B", "C", "A", "B", "C", "A", "B", "C"),
                   Value = c(20, 10, 15, 20, 20, 20, 30, 25, 35))

我在三个不同的点有三个组的值Time

library(ggplot2)
library(gganimate)

p <- ggplot(Data, aes(Group, Value)) +
     geom_col(position = "identity") +
  geom_text(aes(label = Value), vjust = -1) +
     coord_cartesian(ylim = c(0, 40)) +
     transition_time(Time)
p 

上面的代码很好地产生了条形转换的动画,但是 geom_text 的变化还有很多不足之处,因为 geom_text 补间/转换具有 >10 个小数位。理想情况下,我希望 geom_text 数值在转换时保持为整数,或者以某种方式控制舍入程度。

编辑:更改Value为整数类型没有帮助。

在此处输入图像描述

4

2 回答 2

3

您可以尝试自己预先计算转换...

library(gganimate)
library(tidyverse)
Data2 <- Data %>% 
  group_by(Group) %>% 
    arrange(Group) %>% 
    mutate(diff = c((Value - lag(Value))[-1],0))

Seq <- seq(1,3,0.01)
library(gganimate)
tibble(Time_new=rep(Seq,3), Group = rep(LETTERS[1:3], each = length(Seq))) %>% 
  mutate(Time=as.numeric(str_sub(as.character(Time_new),1,1))) %>% 
  left_join(Data2)  %>%
  group_by(Group, Time) %>% 
  mutate(diff = cumsum(diff/n())) %>% 
  mutate(Value2 = Value + diff) %>%
  mutate(new_old = ifelse(Time == Time_new, 2, 1)) %>% 
  ggplot(aes(Group, Value2)) +
  geom_col(position = "identity") +
  geom_text(aes(label = sprintf("%1.2f",Value2)), vjust = -1) +
  coord_cartesian(ylim = c(0, 40)) +
  transition_manual(Time_new) 

在此处输入图像描述

或尝试geom_text(aes(label = round(Value2,2)), vjust = -1)

于 2018-11-09T10:41:29.573 回答
2

包作者提供了一个非常优雅的通用解决方案,即

..只是把"Year: {as.integer(frame_time)}"你的标题

这里

于 2020-04-26T07:37:11.530 回答