r - 使用 ggplot 和 gganiminate 的动画条形图

Question

我有一个用 ggplot 创建的条形图，我想对其进行动画处理；基本情节是……

我在网上对此进行了研究并创建了以下代码：-

这是一些 Reprex 数据...

 Data <- as.data.frame(rbind(c("11 Mar'", "Male", "20-30"),
                                                c("11 Mar'", "Male", "20-30"),
                                                c("11 Mar'", "Female", "20-30"),
                                                c("12 Mar'", "Female", "50-60"),
                                                c("12 Mar'", "Female", "10-20"),
                                                c("12 Mar'", "Male", "60-70"),
                                                c("13 Mar'", "Female", "20-30"),
                                                c("13 Mar'", "Female", "60-70"),
                                                c("13 Mar'", "Male", "60-70"),
                                                c("13 Mar'", "Male", "60-70"),
                                                c("13 Mar'", "Female", "20-30"),
                                                c("14 Mar'", "Female", "70-80"),
                                                c("14 Mar'", "Female", "70-80"),
                                                c("14 Mar'", "Male", "40-50")))
                    colnames(Data) <- c("Date", "Sex", "AgeGroup")

这是我对 ggplot 的呼吁......

 ggplot(Data, aes(x = AgeGroup, fill = Sex, frame = Date, Cumulative = TRUE)) + 
                 geom_bar(position = position_dodge2(preserve = "single")) +
                 scale_fill_manual(values = c("lightblue", "darkblue")) +
                 xlab("\nAge Group") + ylab("\nIndividuals") +
                 ggtitle("\nMarch - April 2020") + 
                 scale_y_discrete(limits= c(2,4,6,8)) + theme_pc() +
                 transition_states(Date, transition_length = 4, state_length = 1) +
                   labs(title = 'Date: {closest_state}',  
                   subtitle  =  "Age and Gender distribution",
                   caption  = "data as of 0945 10 Apr 2020")

不幸的是，我没有得到想要的输出 - 数据没有累积显示，而是每帧图都会刷新，只显示一天的结果。我希望 geom_bar 总是会在几天内累积数据，但它似乎没有 - 我什至在 ggplot 调用中有“Cumulative = TRUE”，但结果仍然看起来像这样......

谁能指出我正确的方向？

标签： ranimationggplot2gganimate

Answer 1

我设法得到它。我通过复制前一个日期的行并添加到当前日期等来复制数据集。这样频率将是累积的。我无法在 R 中完成它。但是，数据将如下所示：

Data <- structure(list(Date = c("11 Mar'", "11 Mar'", "11 Mar'", "12 Mar'", 
"12 Mar'", "12 Mar'", "12 Mar'", "12 Mar'", "12 Mar'", "13 Mar'", 
"13 Mar'", "13 Mar'", "13 Mar'", "13 Mar'", "13 Mar'", "13 Mar'", 
"13 Mar'", "13 Mar'", "13 Mar'", "13 Mar'", "14 Mar'", "14 Mar'", 
"14 Mar'", "14 Mar'", "14 Mar'", "14 Mar'", "14 Mar'", "14 Mar'", 
"14 Mar'", "14 Mar'", "14 Mar'", "14 Mar'", "14 Mar'", "14 Mar'"
), Sex = c("Female", "Male", "Male", "Female", "Female", "Female", 
"Male", "Male", "Female", "Female", "Female", "Female", "Female", 
"Female", "Female", "Male", "Male", "Male", "Male", "Male", "Female", 
"Female", "Female", "Female", "Female", "Female", "Female", "Female", 
"Male", "Male", "Female", "Male", "Male", "Male"), AgeGroup = c("20-30", 
"20-30", "20-30", "10-20", "20-30", "50-60", "20-30", "20-30", 
"60-70", "10-20", "20-30", "20-30", "20-30", "50-60", "60-70", 
"20-30", "20-30", "60-70", "60-70", "60-70", "10-20", "20-30", 
"20-30", "20-30", "50-60", "60-70", "70-80", "70-80", "20-30", 
"20-30", "40-50", "60-70", "60-70", "60-70")), class = c("spec_tbl_df", 
"tbl_df", "tbl", "data.frame"), row.names = c(NA, -34L), spec = structure(list(
    cols = list(Date = structure(list(), class = c("collector_character", 
    "collector")), Sex = structure(list(), class = c("collector_character", 
    "collector")), AgeGroup = structure(list(), class = c("collector_character", 
    "collector"))), default = structure(list(), class = c("collector_guess", 
    "collector")), skip = 1), class = "col_spec"))

然后，需要添加带有 alpha 值的 enter_grow() 和 exit_fade()。确保条形按类别的相同顺序显示。通常，无论颜色如何，首先都会绘制可用值的条形图。使条形颜色在过渡时发生变化。

ggplot(Data, aes(x = AgeGroup, fill = Sex, frame = Date)) + 
  geom_bar(position = position_dodge(preserve = "single")) +
  scale_fill_manual(values = c("lightblue", "darkblue"), drop = TRUE) +
  xlab("\nAge Group") + ylab("\nIndividuals") +
  ggtitle("\nMarch - April 2020") + 
  scale_y_discrete(limits= c(2,4,6,8)) +
  transition_states(Date, transition_length = 4, state_length = 1) + shadow_mark() +
  enter_grow() + 
  exit_fade(alpha = 1)+
  labs(title = 'Date: {closest_state}',  
       subtitle  =  "Age and Gender distribution",
       caption  = "data as of 0945 10 Apr 2020")