Cumulative Animations in R

How to create cumulative animations in R with Plotly.

Plotly Studio: Transform any dataset into an interactive data application in minutes with AI. Try Plotly Studio now.

Frames

Now, along with data and layout, frames is added to the keys that figure allows. Your frames key points to a list of figures, each of which will be cycled through upon instantiation of the plot.

Cumulative Lines Animation

library(plotly)

accumulate_by <- function(dat, var) {
  var <- lazyeval::f_eval(var, dat)
  lvls <- plotly:::getLevels(var)
  dats <- lapply(seq_along(lvls), function(x) {
    cbind(dat[var %in% lvls[seq(1, x)], ], frame = lvls[[x]])
  })
  dplyr::bind_rows(dats)
}

df <- txhousing 
fig <- df %>%
  filter(year > 2005, city %in% c("Abilene", "Bay Area"))
fig <- fig %>% accumulate_by(~date)


fig <- fig %>%
  plot_ly(
    x = ~date, 
    y = ~median,
    split = ~city,
    frame = ~frame, 
    type = 'scatter',
    mode = 'lines', 
    line = list(simplyfy = F)
  )
fig <- fig %>% layout(
  xaxis = list(
    title = "Date",
    zeroline = F
  ),
  yaxis = list(
    title = "Median",
    zeroline = F
  )
) 
fig <- fig %>% animation_opts(
  frame = 100, 
  transition = 0, 
  redraw = FALSE
)
fig <- fig %>% animation_slider(
  hide = T
)
fig <- fig %>% animation_button(
  x = 1, xanchor = "right", y = 0, yanchor = "bottom"
)

fig

Filled-Area Animation

library(plotly)
library(quantmod)

getSymbols("AAPL",src='yahoo')

## [1] "AAPL"

df <- data.frame(Date=index(AAPL),coredata(AAPL))
df <- tail(df, 30)
df$ID <- seq.int(nrow(df))

accumulate_by <- function(dat, var) {
  var <- lazyeval::f_eval(var, dat)
  lvls <- plotly:::getLevels(var)
  dats <- lapply(seq_along(lvls), function(x) {
    cbind(dat[var %in% lvls[seq(1, x)], ], frame = lvls[[x]])
  })
  dplyr::bind_rows(dats)
}

df <- df %>% accumulate_by(~ID)
fig <- df %>% plot_ly(
  x = ~ID, 
  y = ~AAPL.Close, 
  frame = ~frame,
  type = 'scatter', 
  mode = 'lines', 
  fill = 'tozeroy', 
  fillcolor='rgba(114, 186, 59, 0.5)',
  line = list(color = 'rgb(114, 186, 59)'),
  text = ~paste("Day: ", ID, "<br>Close: $", AAPL.Close), 
  hoverinfo = 'text'
)
fig <- fig %>% layout(
  title = "AAPL: Last 30 days",
  yaxis = list(
    title = "Close", 
    range = c(0,250), 
    zeroline = F,
    tickprefix = "$"
  ),
  xaxis = list(
    title = "Day", 
    range = c(0,30), 
    zeroline = F, 
    showgrid = F
  )
) 
fig <- fig %>% animation_opts(
  frame = 100, 
  transition = 0, 
  redraw = FALSE
)
fig <- fig %>% animation_slider(
  currentvalue = list(
    prefix = "Day "
  )
)

fig

Reference

To read more on animations see The Plotly Book.

What About Dash?

Dash for R is an open-source framework for building analytical applications, with no Javascript required, and it is tightly integrated with the Plotly graphing library.

Learn about how to install Dash for R at https://dashr.plot.ly/installation.

Everywhere in this page that you see fig, you can display the same figure in a Dash for R application by passing it to the figure argument of the Graph component from the built-in dashCoreComponents package like this:

library(plotly)

fig <- plot_ly() 
# fig <- fig %>% add_trace( ... )
# fig <- fig %>% layout( ... ) 

library(dash)
library(dashCoreComponents)
library(dashHtmlComponents)

app <- Dash$new()
app$layout(
    htmlDiv(
        list(
            dccGraph(figure=fig) 
        )
     )
)

app$run_server(debug=TRUE, dev_tools_hot_reload=FALSE)