geom_label_repel无法在动画中正确显示

Question

对于篮球数据集，我正在尝试使用y轴上的EPV度量和x轴上的时间构建线形图的动画。我可以使它起作用，但是现在我想在出现任何event的特定时间点添加文本标签。 event是指篮球比赛中某项动作（如控球，运球或传球）发生的时间。这是我到目前为止的内容：

library(tidyverse)
library(gganimate)
library(ggrepel)
theme_set(theme_minimal())

epv_curve_228 <- read_csv("https://raw.githubusercontent.com/jasonbaik94/stackoverflow-data/master/epv_curve_228.csv")

epv_curve_228 %>%
  ggplot() +
  geom_path(aes(x = 720 - game_clock, y = epv.smooth)) +
  # Add description of event for home players
  geom_label_repel(aes(x = 720 - game_clock, y = epv.smooth, label = h1_event), force = 5) +
  geom_label_repel(aes(x = 720 - game_clock, y = epv.smooth, label = h2_event), force = 5) +
  geom_label_repel(aes(x = 720 - game_clock, y = epv.smooth, label = h3_event), force = 5) +
  geom_label_repel(aes(x = 720 - game_clock, y = epv.smooth, label = h4_event), force = 5) +
  geom_label_repel(aes(x = 720 - game_clock, y = epv.smooth, label = h5_event), force = 5) +
  # Add description of event for away players
  geom_label_repel(aes(x = 720 - game_clock, y = epv.smooth, label = a1_event), force = 5) +
  geom_label_repel(aes(x = 720 - game_clock, y = epv.smooth, label = a2_event), force = 5) +
  geom_label_repel(aes(x = 720 - game_clock, y = epv.smooth, label = a3_event), force = 5) +
  geom_label_repel(aes(x = 720 - game_clock, y = epv.smooth, label = a4_event), force = 5) +
  geom_label_repel(aes(x = 720 - game_clock, y = epv.smooth, label = a5_event), force = 5) +
  transition_reveal(720 - game_clock) +
  labs(x = "Time (Seconds)",
       y = "EPV",
       title = "Possession #228 EPV") 

问题是不是所有的文本标签（诸如Dribble，Possession等事件）都会出现。我知道可以通过将NA替换为“”来消除NA标签。我不确定如何显示与所有事件关联的所有文本标签。我看到至少4个不同的event值

Answer 1

这是一种方法。我发现合并事件，然后填充以下几行（在本例中为5，以与100帧和约500行对齐）很有用，以避免丢失可能在动画的帧之间发生的事件。

epv_curve_228_excerpt <- epv_curve_228 %>%
  select(game_clock, epv.smooth, ends_with("event")) %>%
  unite(event, a1_event:h5_event) %>%
  mutate(event = str_remove_all(event, "NA|_")) %>%
  # Add event to a few following time stamps so we don't miss any in our frames
  mutate(event_count = cumsum(event != "")) %>%
  group_by(event_count) %>%
  mutate(event_fill = if_else(row_number() <= 5, first(event), "")) %>%
  ungroup()


 a <- ggplot(epv_curve_228_excerpt,
         aes(x = 720 - game_clock, 
             y = epv.smooth,
             label = event_fill)) +
  geom_path() +
    geom_label_repel(nudge_x = -1, size = 5) +
    transition_reveal(720 - game_clock) +
    shadow_wake(wake_length = 0.5, alpha = 0.7, size = 3,
                exclude_layer = 1)

 animate(a, nframes = 100, width = 600, height = 250)