plotly.R
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Sluggish performance when using add_annotations
Adding "add_annotations" to many points on any plot, cause slow performance. Please see the below minimal example
library(shiny)
library(plotly)
library(quantmod)
ui <- fluidPage(
plotlyOutput("plot"),
verbatimTextOutput("event")
)
server <- function(input, output) {
output$plot <- renderPlotly({
getSymbols("AAPL",src='yahoo')
# basic example of ohlc charts
df <- data.frame(Date=index(AAPL),coredata(AAPL))
df <- tail(df, 500)
p <- df %>%
plot_ly(x = ~Date, type="candlestick",
open = ~AAPL.Open, close = ~AAPL.Close,
high = ~AAPL.High, low = ~AAPL.Low) %>%
add_annotations(x = ~Date , y = ~AAPL.Open, text = "Tslow",xref = "x", yref = "y", yref = "y",ax = -30, ay = 40,
arrowcolor = 'rgb(0, 153, 51)', arrowsize = 2, arrowwidth = 1, arrowhead = 4) %>%
layout(title = "Basic Candlestick Chart",xaxis = list(rangeslider = list(visible = F)))
p
})
output$event <- renderPrint({
d <- event_data("plotly_hover")
if (is.null(d)) "Hover on a point!" else d
})
}
shinyApp(ui, server)