在 renderPlotly 单击事件中使用 nearPoints 时出现闪亮错误 [英] Shiny error while using nearPoints in renderPlotly click event
问题描述
我想使用来自点击事件的数据获取 nearPoints
.
I would like to fetch nearPoints
using the data from a click event.
我从 Shiny 网页 中找到了以下片段它按预期工作正常.
I have found the below snippet from the Shiny webpage and it works fine as expected.
output$plot <- renderPlot({
d <- data()
plot(d$speed, d$dist)
})
output$plot_clickedpoints <- renderPrint({
# For base graphics, we need to specify columns, though for ggplot2,
# it's usually not necessary.
res <- nearPoints(data(), input$plot_click, "speed", "dist")
if (nrow(res) == 0)
return()
res
})
我尝试模仿上述方法,使用点击事件数据在 Plotly 图中识别 nearPoints
.但是,它不起作用.
I tried to mimic the above the approach to identify the nearPoints
in the Plotly plots using the click event data. However, it did not work.
output$plot <- renderPlotly({
d <- data()
plot(d$speed, d$dist)
})
output$plot_clickedpoints <- renderPrint({
# For base graphics, we need to specify columns, though for ggplot2,
# it's usually not necessary.
res <- nearPoints(data(), event_data("plotly_click"), "speed", "dist")
if (nrow(res) == 0)
return()
res
})
知道如何将坐标信息传递给绘图吗?
Any idea on how to pass the coordinate information to the plotly plot?
推荐答案
我不确定如何使用 NearPoints 函数来做到这一点,但使用该函数真的有必要吗?您也可以使用以下代码找到在点击点阈值内的点:
I am not sure on how to do this with the nearPoints function, but is using that function really necessary? You could find the points that are within a threshold of the clicked point as well with the following code:
library(shiny)
library(plotly)
library(DT)
threshold_mpg = 3
threshold_cyl = 1
shinyApp(
ui <- shinyUI(
fluidPage(
plotlyOutput("plot"),
DT::dataTableOutput("table")
)
),
function(input,output){
data <- reactive({
mtcars
})
output$plot <- renderPlotly({
d <- data()
plot_ly(d, x= ~mpg, y=~cyl, mode = "markers", type = "scatter", source="mysource")
})
output$table<- DT::renderDataTable({
event.data <- event_data("plotly_click", source = "mysource")
print(event.data)
if(is.null(event.data)) { return(NULL)}
# A simple alternative for the nearPoints function
result <- data()[abs(data()$mpg-event.data$x)<=threshold_mpg & abs(data()$cyl-event.data$y)<=threshold_cyl, ]
DT::datatable(result)
})
}
)
希望这会有所帮助.
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