数据变化时以动画方式绘制出闪亮的图

时间:2019-06-17 01:46:59

标签: r shiny plotly

我希望R曲线图在数据更改时能够平稳过渡。我不希望R-plotly提供动作按钮方法。因此,我尝试通过idx messages 112 I have a car and it is blue 114 I have a bike and it is red 115 I don't have any car 117 I don't have any bike 按照链接的示例获取动画:

https://plot.ly/javascript/plotlyjs-function-reference/#plotlyanimate

我的应用程序正在运行,但情节未设置动画。我丢失了一些东西。

    id     112    114    115    117
    id                             
    112  100.0   78.0   51.0   50.0
    114   78.0  100.0   47.0   54.0
    115   51.0   47.0  100.0   83.0
    117   50.0   54.0   83.0  100.0

1 个答案:

答案 0 :(得分:0)

原来,我只需要修改列表结构。 此外,条形痕迹目前无法以情节方式进行动画处理,因此我不得不使用粗线来伪造它。

library(shiny)
library(plotly)
library(dplyr)

ui <- fluidPage(
    actionButton("go", "Click to recalc"),
    plotlyOutput("plot")
)

gendata <- function(){
    ndata <- 10
    d <- tibble(text=LETTERS[1:ndata], f=1, x=runif(ndata)) %>% mutate(r = rank(x))
    rbind(mutate(d, x=-1), d, mutate(d, x=-1)) %>%
        arrange(text)
}

server <- function(input, output, session){

    origdata <- gendata()
    if (FALSE){ # for offline testing
        print(head(origdata))
        my <- list(olddata = origdata, newdata = origdata)
    }

    my <- reactiveValues(
        olddata = origdata,
        newdata = origdata
        )

    output$plot <- renderPlotly({
        cat("renderPlotly\n")
        plot_ly() %>%
            add_trace(x=origdata$x, y=origdata$r, frame=origdata$f, line=list(width=20, simplify=FALSE), type="scatter", opacity=0.5, mode="lines", name="Rank") %>%
            add_trace(x=origdata$x + 0.02, y=origdata$r, frame=origdata$f, text=origdata$text, type="scatter", mode="text", showlegend=FALSE) %>%
            layout(xaxis=list(range=list(0,1.1))) %>%
            animation_opts(frame=500, transition=500, redraw=FALSE)
    })

    observeEvent(input$go, {
        req(my$newdata)
        cat("observeEvent input$go\n")
        my$olddata <- my$newdata # save old data
        my$newdata <- gendata() %>% # generate new data
            mutate(f=my$olddata$f+1)
        print(head(my$newdata))
        # https://plot.ly/javascript/plotlyjs-function-reference/#plotlyanimate
        plotlyProxy("plot", session=session, deferUntilFlush=FALSE) %>%
            plotlyProxyInvoke("animate",
                              # frameOrGroupNameOrFrameList
                              list(
                                data = list(list(
                                                x = my$newdata$x,
                                                y = my$newdata$r,
                                                frame = my$newdata$f
                                            ),
                                            list(
                                                x = my$newdata$x + 0.02,
                                                y = my$newdata$r,
                                                text = my$newdata$text,
                                                frame = my$newdata$f
                                         )),
                                traces = list(as.integer(0), as.integer(1)),
                                layout = list()
                              ),
                              # animationAttributes
                              list()
                              )# plotlyProxyInvoke
    })

}

shinyApp(ui, server)
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