Cumulative Animations in ggplot2
How to create cumulative animations in ggplot2 with Plotly.
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)
library(quantmod)
invisible(getSymbols("AAPL",src='yahoo'))
df <- data.frame(Date=index(AAPL),coredata(AAPL))
df <- tail(df, 30)
df$ID <- seq.int(nrow(df))
accumulate_by <- function(dat, var) {
var <- lazyeval::f_eval(var, dat)
lvls <- plotly:::getLevels(var)
dats <- lapply(seq_along(lvls), function(x) {
cbind(dat[var %in% lvls[seq(1, x)], ], frame = lvls[[x]])
})
dplyr::bind_rows(dats)
}
df <- df %>%
accumulate_by(~ID)
p <- ggplot(df,aes(ID, AAPL.Close, frame = frame)) +
geom_line()
fig <- ggplotly(p) %>%
layout(
title = "AAPL: Last 30 days",
yaxis = list(
title = "Close",
zeroline = F,
tickprefix = "$"
),
xaxis = list(
title = "Day",
zeroline = F,
showgrid = F
)
) %>%
animation_opts(
frame = 100,
transition = 0,
redraw = FALSE
) %>%
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)