r - gganimate 图中的标签行为问题

Question

我有以下生成静态图表的 R 脚本

library(ggplot2)  
library(dplyr)    
library(tidyr)    
library(stringr)  
library(gtable)
library(cowplot)
library(ggrepel)
library(tidyquant)
library(gganimate)
library(gifski)

################################## BASIC SETUP TASKS ###############################
plotDate="May19"
basepath = "C:/Users/your output path here/"    


#Countries with testing data reported
#going to leave out Spain because their data is so sporadic
testCountries <- c("ARG", "AUS", "AUT","BEL","BGD","BHR","BGR","BOL","CAN","CHE",
                   "CHL","COL","CRI","CUB","CZE","DEU","DNK","ECU","EST",
                   "ETH","FIN","FRA","GBR","GHA","GRC","HKG","HRV","HUN","IDN",
                   "IND","IRL","IRN","ISL","ISR","ITA","JPN","KAZ","KEN","KOR",
                   "LTU","LUX","LVA","MAR","MEX","MMR","MYS","NGA","NLD","NOR",
                   "NPL","NZL","PAK","PAN","PER","PHL","POL","PRT","PRY","ROU",
                   "RUS","RWA","SEN","SGP","SLV","SRB","SVK","SVN","SWE","THA",
                   "TUN","TUR","TWN","UGA","URY","USA","VNM","ZAF")

# Get population data
url <- "https://population.un.org/wpp/Download/Files/1_Indicators%20(Standard)/CSV_FILES/WPP2019_TotalPopulationBySex.csv"

pops <- read.csv(url, stringsAsFactors = FALSE, header = TRUE)
pops <- pops %>% filter(Time==2020) %>% select(Location, PopTotal) %>% distinct()
pops$PopTotal <- pops$PopTotal * 1000
names(pops)[1] <- "location"

pops$location <- pops$location %>% str_replace_all("United States of America", "United States")
pops$location <- pops$location %>% str_replace_all("Republic of Korea", "South Korea")

# Get COVID cases, available from:
url <- "https://covid.ourworldindata.org/data/owid-covid-data.csv"

COVtests <- read.csv(url, stringsAsFactors = FALSE, header = TRUE)

COVtests <- COVtests %>% filter(iso_code %in% testCountries) %>%
  mutate(Date=as.Date(as.character(date), format="%Y-%m-%d"))

# merge in the population data
COVtests <- COVtests %>% left_join(pops,by='location')

#calculate test rates and test positivity rate
COVtests <- COVtests %>% mutate(PosRate = (total_cases/total_tests) * 100,
                                TestRate = (total_tests/PopTotal) * 100)

COVtests <- COVtests %>% group_by(location) %>% filter(total_cases > 0) %>%
  mutate(maxTestRate = max(TestRate, na.rm=TRUE)) %>% ungroup()


#keeping temporary data frames while testing
plotCOV <- COVtests %>% filter(PopTotal > 20000000, maxTestRate > 0.75) %>%
  select(TestRate, PosRate, location, Date)

#France has a 38% positive rate on day 1 that drops precipitously...removing to clean up
plotCOV[which(plotCOV$location=="France" & plotCOV$Date=="2020-02-24"),2] <- NA

plotCOV2 <- plotCOV[complete.cases(plotCOV),]

#endpoint layer
Endpoints <- plotCOV2 %>% 
  group_by(location) %>%
  filter(TestRate == max(TestRate, na.rm=TRUE)) %>%
  ungroup()

#if there's a stall you get doubles
Endpoints <- Endpoints %>% group_by(location) %>% filter(Date==max(Date)) %>% ungroup()


g <- plotCOV2 %>%
  ggplot(aes(x=TestRate, y=PosRate)) +
  geom_line(aes(color=location), show.legend = FALSE) +
  labs(x = "Cumulative % of Population Tested",
       y = "% of Tests Returning Positive",
       title = "Test Positivity Rate (pop > 2,000,000 & > 0.75% pop tested)",
       subtitle = paste("Data as of", format(max(plotCOV2$Date), "%A, %B %e, %Y")),
       caption = "Data: Our World in Data (https://covid.ourworldindata.org)\n
       UN Population Data (https://population.un.org)") +
  theme(plot.title = element_text(size = rel(1), face = "bold"),
        plot.subtitle = element_text(size = rel(0.7)),
        plot.caption = element_text(size = rel(1), lineheight = 0.5)) 

#add the endpoints and labels - kept out of g so I can animate it later
h <- g + geom_label_repel(data=Endpoints, aes(label=location), show.legend = FALSE) +
  geom_point(data = Endpoints,size = 1.5,shape = 21,
             aes(color = location,fill = location), show.legend = FALSE)
print(h)

这运行良好并产生以下结果



我现在想做的是动画绘制线条以传达有关数据的时间信息。所以我添加

#I left the endpoint labels out of g - now add geom_text labels
g <- g + geom_text(aes(label = location))
a <- g + transition_reveal(Date)
animate(a,
        renderer= gifski_renderer(file = paste(basepath,plotDate,"/animated/positivity.gif",sep=""), loop = FALSE, width = 2000, height = 1500))

这会产生下面的 gif，它很接近，但标签行为一团糟，我不明白



我不知道为什么会有重复的行列前行，也不知道为什么动画结束时只剩下一个标签。昨天是美国，今天是南非。

其他小问题，我不知道为什么 gifski 输出如此“窄”......我尝试了各种宽度和高度参数，试图让它看起来更像静态图，但结果总是一样。另外，我想知道如何引用日期，以便我可以将日期与标题中的每个过渡相关联。我以为我可以用 labs(title='Test Positivity Rate: {frame_time}') 做到这一点但这会引发有关 frame_time 的错误。主要问题是让标签正常运行。

Answer 1

使用小“生活小窍门”ggplot2 :如果看起来它们没有正确连接，您可能需要使用 group=审美的。这就是这里发生的事情。 ggplot2不知道使用什么基础来连接标签，所以很可能它试图按照与预期不同的分组来连接它们。在这种情况下，修复方法是让 ggplot2知道您希望点保持基于 location 的分组.因此，添加 group=审美在这里:

g <- g + geom_text(aes(label=location, group=location))

它解决了您的问题: