CODEWITHSUNDEEP
rggplot2plotlyr-plotly
Javi_VM
Javi_VM

Reputation: 515

Equivalent of gganimate::transition_events on plotly

In R, using gganimate, one can make an animated plot where events appear and disappear with time. For example:

library(lubridate)
library(gganimate)

df=data.frame(
x=c(1,2,3,4),
y=c(1,2,3,4),
start=c(1,2,3,4),
end=c(5,6,7,8),
en=as_date(1),
ex=as_date(1))

ggplot(data=df, aes(x=x,y=y))+
  geom_point()+
  gganimate::transition_events(
     start=start, 
     end=end, 
     enter_length = as.numeric(en), 
     exit_length = as.numeric(ex))

This produces a plot in which points appear according to column "start" and desappear according to column "end".

I wonder if there is an easy way to achieve the same in with plotly (preferably using ggplotly()), getting a slider to move along the time.

Upvotes: 1

Views: 340

Answers (1)

ismirsehregal
ismirsehregal

Reputation: 33442

Here is an example using ggplotly. The result however isn't exactly the same:

library(plotly)
library(lubridate)

df = data.frame(
  x = c(1, 2, 3, 4),
  y = c(1, 2, 3, 4),
  start = c(1, 2, 3, 4),
  end = c(5, 6, 7, 8),
  en = as_date(1),
  ex = as_date(1)
)

frame_list <- Map(seq, from = df$start, to = df$end)
DF <- data.frame(x = rep(df$x, times = lengths(frame_list)),
                 y = rep(df$y, times = lengths(frame_list)),
                 frame = unlist(frame_list))

p <- ggplot(DF, aes(x, y)) +
  geom_point(aes(size = y, frame = frame))

fig <- ggplotly(p)

fig %>%
  animation_opts(
    frame = 0,
    easing = "linear",
    redraw = FALSE,
    mode = "immediate"
  )
fig

result

Upvotes: 2

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