plotly (version 4.9.0)

animation_opts: Animation configuration options


Animations can be created by either using the frame argument in plot_ly() or the (unofficial) frame ggplot2 aesthetic in ggplotly(). By default, animations populate a play button and slider component for controlling the state of the animation (to pause an animation, click on a relevant location on the slider bar). Both the play button and slider component transition between frames according rules specified by animation_opts().


animation_opts(p, frame = 500, transition = frame, easing = "linear",
  redraw = TRUE, mode = "immediate")

animation_slider(p, hide = FALSE, ...)

animation_button(p, ..., label)



a plotly object.


The amount of time between frames (in milliseconds). Note that this amount should include the transition.


The duration of the smooth transition between frames (in milliseconds).


The type of transition easing. See the list of options here


Trigger a redraw of the plot at completion of the transition? A redraw may significantly impact performance, but may be necessary to update graphical elements that can't be transitioned.


Describes how a new animate call interacts with currently-running animations. If immediate, current animations are interrupted and the new animation is started. If next, the current frame is allowed to complete, after which the new animation is started. If afterall all existing frames are animated to completion before the new animation is started.


remove the animation slider?


for animation_slider, attributes are passed to a special layout.sliders object tied to the animation frames. The definition of these attributes may be found here For animation_button, arguments are passed to a special layout.updatemenus button object tied to the animation


a character string used for the animation button's label


Run this code
df <- data.frame(
  x = c(1, 2, 2, 1, 1, 2),
  y = c(1, 2, 2, 1, 1, 2),
  z = c(1, 1, 2, 2, 3, 3)
plot_ly(df) %>%
  add_markers(x = 1.5, y = 1.5) %>%
  add_markers(x = ~x, y = ~y, frame = ~z)

# it's a good idea to remove smooth transitions when there is
# no relationship between objects in each view
plot_ly(mtcars, x = ~wt, y = ~mpg, frame = ~cyl) %>%
  animation_opts(transition = 0)

# works the same way with ggplotly
if (interactive()) {
  p <- ggplot(txhousing, aes(month, median)) +
    geom_line(aes(group = year), alpha = 0.3) +
    geom_smooth() +
    geom_line(aes(frame = year, ids = month), color = "red") +
    facet_wrap(~ city)
  ggplotly(p, width = 1200, height = 900) %>%

#' # for more, see

# }

Run the code above in your browser using DataCamp Workspace