Cumulative Animations in R

How to create cumulative animations in R with Plotly.

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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)