在ggplot/plotly图表上单击以打开超链接 [英] Open hyperlink on click on an ggplot/plotly chart
问题描述
This is a follow up question on the answer provided for Add onclick open hyperlink event to an html widget created in R. Consider the following example:
library(ggplot2)
library(plotly)
library(htmlwidgets)
library(htmltools)
myData <- data.frame(
x=c(1,2,3),
y=c(3,2,1),
label=c("Google", "Bing", "R"),
category=c("search", "search", "other"),
urls=c("http://google.de", "http://bing.com", "http://r-project.org")
)
f <- function(p) {
ply <- ggplotly(p)
javascript <- HTML(paste("
var myPlot = document.getElementById('", ply$elementId, "');
myPlot.on('plotly_click', function(data){
var urls = ['", paste(myData$urls, collapse = "', '"), "'];
window.open(urls[data.points[0].pointNumber],'_blank');
});", sep=''))
prependContent(ply, onStaticRenderComplete(javascript))
}
这可以按预期工作-在任意点上单击都会打开相应的网址:
This works as expected - a click on any point opens the corresponding url:
f(ggplot(myData, aes(x=x, y=y)) + geom_point(aes(text=label)))
这无法正常工作-索引不再匹配:
This does not work as expected - the indices do not match anymore:
f(ggplot(myData, aes(x=x, y=y)) + geom_point(aes(text=label, color=category)))
plotly对象有所不同,似乎pointNumber
不再拥有所有点的绝对索引,而是(颜色)分组中的索引.
The plotly objects differ and it seems as if pointNumber
does not hold the absolute index of all points any more, but the index within a (color) grouping.
是否有关于如何修改示例的想法,以便它也可以与颜色/填充分组一起用于一般用例?
Any ideas on how to adapt the example so that it works for general use cases also with color/fill groupings?
推荐答案
-
plotly_click
事件提供数据跟踪的名称. -
data
是点击事件信息 -
data.points[0].data.name
是跟踪/类别名称 - The
plotly_click
event provides the name of the data trace. data
is the click event informationdata.points[0].data.name
is the trace/category name
我们可以通过category
对其进行拆分(就像aes
一样),而不是传递经过展平的数据帧,然后传递给我们的JavaScript函数
Instead of passing the flattened data frame we can split it by category
(just like aes
does) and pass into our JavaScript function
var urls = ", toJSON(split(myData, myData$category)), ";
哪个为我们提供了以下JSON
Which gives us the following JSON
{"other": [{"x":3,"y":1,"label":"R","category":"other","urls":"http://r-project.org"}],
"search":[{"x":1,"y":3,"label":"Google","category":"search","urls":"http://google.de"},
{"x":2,"y":2,"label":"Bing","category":"search","urls":"http://bing.com"}]
}
然后通过以下方式检索URL
The URL is then retrieved by
window.open(urls[data.points[0].data.name][data.points[0].pointNumber]['urls'],'_blank');
即从提供的JSON中获取:我们从单击(data.points[0]
)的第一个(也是唯一一个)点开始,获取跟踪的名称(data.name
)及其pointNumber
(即跟踪中的第n个点)
i.e. from the provided JSON: we take from the first (and only) point which was clicked on (data.points[0]
) the name of the trace (data.name
) and its pointNumber
(i.e. the n-th point in the trace).
完整代码
library(ggplot2)
library(plotly)
library(htmlwidgets)
library(htmltools)
library(jsonlite)
myData <- data.frame(
x=c(1,2,3),
y=c(3,2,1),
label=c("Google", "Bing", "R"),
category=c("search", "search", "other"),
urls=c("http://google.de", "http://bing.com", "http://r-project.org")
)
f <- function(p) {
ply <- ggplotly(p)
javascript <- HTML(paste("
var myPlot = document.getElementById('", ply$elementId, "');
myPlot.on('plotly_click', function(data){
var urls = ", toJSON(split(myData, myData$category)), ";
window.open(urls[data.points[0].data.name][data.points[0].pointNumber]['urls'],'_blank');
});", sep=''))
prependContent(ply, onStaticRenderComplete(javascript))
}
f(ggplot(myData, aes(x=x, y=y)) + geom_point(aes(text=label, color=category)))
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