Question in short: how to run a Plotly Animation when fully loaded in the UI.R of a Shiny Web Application?
I'm trying to add an animation to my R Shiny Web Application, using Plot.ly's cumulative animations. I would like to execute the animation plot when loaded in the UI, but can't find a way to automatically run the plots.
Working example of a Shiny Web application below, which includes a Plot.ly cumulative animation, which runs when clicking the 'play' button and should be running automatically.
Help is highly appreciated!
UI.R
pageWithSidebar(
sidebarPanel(
'some controls'
),
mainPanel(
plotlyOutput("frontPage", width = "100%")
)
)
server.R
library(shiny)
library(dplyr)
function(input, output, session) {
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)
}
d <- txhousing %>%
filter(year > 2005, city %in% c("Abilene", "Bay Area")) %>%
accumulate_by(~date)
observe({
output$frontPage <- renderPlotly({
p <- d %>%
plot_ly(
x = ~date,
y = ~median,
split = ~city,
frame = ~frame,
type = 'scatter',
mode = 'lines',
line = list(simplyfy = F)
) %>%
layout(
xaxis = list(
title = "Date",
zeroline = F
),
yaxis = list(
title = "Median",
zeroline = F
)
) %>%
animation_opts(
frame = 10,
transition = 5,
redraw = FALSE
) %>%
animation_slider(
hide = T
) %>%
animation_button(
x = 1, xanchor = "right", y = 0, yanchor = "bottom"
)
})
})
}
答案 0 :(得分:0)
这是一个很大的挑战!这可能不是唯一的方法。即使这晚了几年,也很难找到这些信息。我正在做一个类似的项目,所以回答这个问题对我很有用。
一些注意事项:
library(shiny)
library(dplyr)
library(plotly)
ui <- fluidPage(
# actionButton("go", "Advance"),
plotlyOutput("frontPage", width = "100%")
)
server <- function(input, output, session) {
accumulate_by <- function(dat, var) {
var <- lazyeval::f_eval(var, dat)
lvls <- plotly:::getLevels(var)
dats <- lapply(seq_along(lvls), function(x) {
cbind(dat[var %in% lvls[seq(1, x)], ], frame = lvls[[x]])
})
dplyr::bind_rows(dats)
}
cities <- c("Abilene", "Bay Area")
colors <- c(I("blue"), I("orange"))
d <- txhousing %>%
filter(year > 2005, city %in% cities) %>%
accumulate_by(~date)
frames <- unique(d$frame)
speed = 50
r <- reactiveValues(
i = 1
)
output$frontPage <- renderPlotly({
isolate({
# plot only one frame to avoid button and slider
cat("first frame", frames[r$i], "\n")
p <- plot_ly()
for (i in seq_along(cities)){
temp <- d %>%
filter(frame==frames[r$i]) %>%
filter(city==cities[i])
p <- p %>%
add_trace(
x = temp$date,
y = temp$median,
ids = as.character(temp$date),
name = cities[i],
frame = temp$frame,
type = 'scatter',
mode = 'lines',
line = list(color=colors[i], simplify=FALSE)
)
}
p <- p %>%
layout(
xaxis = list(
range = range(frames),
title = "Date",
zeroline = F
),
yaxis = list(
range = range(d$median),
title = "Median",
zeroline = F
)
) %>%
animation_opts(
frame = speed,
transition = speed,
redraw = FALSE
)
p # return plot_ly
}) # isolate
}) # renderPlotly
proxy <- plotlyProxy("frontPage", session=session, deferUntilFlush=FALSE)
# https://shiny.rstudio.com/reference/shiny/0.14/reactiveTimer.html
autoInvalidate <- reactiveTimer(speed)
observe({
autoInvalidate()
})
observeEvent(autoInvalidate(), {
req(r$i<length(frames))
r$i <- r$i + 1 # next frame
cat("add frame", frames[r$i], "\n")
f <- vector("list", length(cities))
for (i in seq_along(cities)){
temp <- d %>%
filter(frame==frames[r$i]) %>%
filter(city==cities[i])
f[[i]] <- list(
x = temp$date,
y = temp$median,
ids = as.character(temp$date),
frame = temp$frame
)
}
plotlyProxyInvoke(proxy, "animate",
# frameOrGroupNameOrFrameList
list(
data = f,
traces = as.list(as.integer(seq_along(f)-1)),
layout = list()
),
# animationAttributes
list(
frame=as.list(rep(list(duration=speed), length(f))),
transition=as.list(rep(list(duration=speed), length(f)))
)
)# plotlyProxyInvoke
}) # observeEvent
}
shinyApp(ui, server)