如何防止ggplot hoverOpts消息使用CSS离开屏幕 [英] How to prevent ggplot hoverOpts messages to go off screen with css
本文介绍了如何防止ggplot hoverOpts消息使用CSS离开屏幕的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!
问题描述
在下面运行演示应用程序时,我遇到的问题是,情节底部的悬停消息最终不在屏幕上显示。
有人知道是否有一种方法可以调整位置,以使整个消息始终位于屏幕边界(l,r,t,b)之内?
require('shiny')
require('ggplot2')
库(DT)
ui<-pageWithSidebar(
headerPanel(悬停在页面上),
sidebarPanel(width = 2
),
mainPanel(
tags $ head(
tags $ style('
# my_tooltip {
位置:绝对;
指针事件:无;
z-index:1;
padding:0;
}'),
tags $ script('
$(document).ready(function(){
setTimeout(function(){
$( [id ^ = FP1Plot])。mousemove(function( e){
$(#my_tooltip)。show();
$(#my_tooltip)。css({
top :(e.offsetY)+ px,剩余
:(e.pageX -300)+ px
});
});
},1000)});')
),
plotOutput('FP1Plot1',
宽度= 1000,
高度= 800,
悬停= hoverOpts(id ='FP1Plot1_hover',延迟= 0)
),
uiOutput( my_tooltip),
style ='width:1250px'
)
)
服务器<-函数(输入,输出,会话){
范围<--reactValues()
output $ FP1Plot1<-renderPlot({
ggplot(mtcars,aes(wt,mpg,color = as.factor(cyl)))+ geom_point()+
coord_cartesian (xlim = range [[paste('FP1Plot1','x',sep ='')]],
ylim = range [[paste('FP1Plot1','y',sep ='')]]]
)
})
tooltipTable<-react({
y<-nearPoints (mtcars,输入$ FP1Plot1_hover,
阈值= 15)
if(nrow(y)){
datatable(t(y),colnames = rep(,nrow(y)),
options = list(dom = 't'))
}
})
output $ my_tooltip<-renderUI({
req(tooltipTable())
wellPanel(DTOutput ( vals),
style ='background-color:#fff;内边距:10px; width:400px; border-color:#339fff')
})
output $ vals<-renderDT({
tooltipTable()
})
}
ShinyApp(ui,服务器)
解决方案
以下是JS库
When running the demo App below, the problem I run into is that hover messages for the bottom part of the plot end up running off the screen.
Does anybody know if there is a way to adjust the position so that the entire message always falls within the screen boundaries (l,r,t,b)?
require('shiny')
require('ggplot2')
library(DT)
ui <- pageWithSidebar(
headerPanel("Hover off the page"),
sidebarPanel(width = 2
),
mainPanel(
tags$head(
tags$style('
#my_tooltip {
position: absolute;
pointer-events:none;
z-index: 1;
padding: 0;
}'),
tags$script('
$(document).ready(function() {
setTimeout(function(){
$("[id^=FP1Plot]").mousemove(function(e) {
$("#my_tooltip").show();
$("#my_tooltip").css({
top: (e.offsetY) + "px",
left: (e.pageX -300) + "px"
});
});
},1000)});')
),
plotOutput('FP1Plot1' ,
width = 1000,
height = 800,
hover = hoverOpts(id = 'FP1Plot1_hover', delay = 0)
),
uiOutput("my_tooltip"),
style = 'width:1250px'
)
)
server <- function(input, output, session) {
ranges <- reactiveValues()
output$FP1Plot1 <- renderPlot({
ggplot(mtcars, aes(wt, mpg, color = as.factor(cyl))) + geom_point() +
coord_cartesian(xlim = ranges[[paste('FP1Plot1', 'x', sep = '')]],
ylim = ranges[[paste('FP1Plot1', 'y', sep = '')]]
)
})
tooltipTable <- reactive({
y <- nearPoints(mtcars, input$FP1Plot1_hover,
threshold = 15)
if(nrow(y)){
datatable(t(y), colnames = rep("", nrow(y)),
options = list(dom = 't'))
}
})
output$my_tooltip <- renderUI({
req(tooltipTable())
wellPanel(DTOutput("vals"),
style = 'background-color:#fff; padding:10px; width:400px;border-color:#339fff')
})
output$vals <- renderDT({
tooltipTable()
})
}
shinyApp(ui, server)
解决方案
Here is a solution with the JS library qTip2.
library(shiny)
library(ggplot2)
library(DT)
js_qTip <- "
$('#hoverinfo').qtip({
overwrite: true,
content: {
text: $('#tooltip').clone()
},
position: {
my: '%s',
at: '%s',
target: [%s,%s],
container: $('#FP1Plot1')
},
show: {
ready: true
},
hide: {
target: $('#FP1Plot1')
},
style: {
classes: 'qtip-light'
}
});
"
ui <- fluidPage(
tags$head(
tags$link(rel = "stylesheet", href = "jquery.qtip.min.css"),
tags$script(src = "jquery.qtip.min.js"),
tags$script(
HTML(
'Shiny.addCustomMessageHandler("jsCode", function(mssg){setTimeout(function(){eval(mssg.value);},10);})'
)
)
),
plotOutput('FP1Plot1' ,
width = 1000,
height = 700,
hover = hoverOpts(id = 'FP1Plot1_hover')),
tags$div(id = "hoverinfo", style = "position: absolute;"),
tags$div(DTOutput("tooltip"), style = "visibility: hidden;") # put this div at the very end of the UI
)
server <- function(input, output, session){
output$FP1Plot1 <- renderPlot({
ggplot(mtcars, aes(wt, mpg, color = as.factor(cyl))) + geom_point(size = 2)
})
tooltipTable <- eventReactive(input[["FP1Plot1_hover"]], {
hover <- input[["FP1Plot1_hover"]]
if(is.null(hover)) return(NULL)
dat <- mtcars
point <- nearPoints(dat, hover, threshold = 15, maxpoints = 1)
if(nrow(point) == 0) return(NULL)
X <- point[["wt"]]
Y <- point[["mpg"]]
left_pct <-
(X - hover$domain$left) / (hover$domain$right - hover$domain$left)
top_pct <-
(hover$domain$top - Y) / (hover$domain$top - hover$domain$bottom)
left_px <-
(hover$range$left + left_pct * (hover$range$right - hover$range$left)) /
hover$img_css_ratio$x
top_px <-
(hover$range$top + top_pct * (hover$range$bottom - hover$range$top)) /
hover$img_css_ratio$y
pos <- ifelse(left_pct<0.5,
ifelse(top_pct<0.5,
"top left",
"bottom left"),
ifelse(top_pct<0.5,
"top right",
"bottom right"))
list(data = t(point), pos = pos, left_px = left_px+10, top_px = top_px)
}) # end of eventReactive
output[["tooltip"]] <- renderDT({
req(tooltipTable())
datatable(tooltipTable()$data, colnames = NULL,
options = list(dom = "t", ordering = FALSE))
}, server = FALSE)
observeEvent(tooltipTable(), {
tt <- tooltipTable()
session$sendCustomMessage(
type = "jsCode",
list(value = sprintf(js_qTip, tt$pos, tt$pos, tt$left_px, tt$top_px))
)
})
}
shinyApp(ui, server)
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