我正在尝试使用plotlyproxy
来改变color
的trace
,这有效,但问题是,它也改变了我的标记/ legendmarkers
的大小。
很久以前我发现(据我目前的研究表明)仍无法单独设置图例标记的大小与图标记不同。
如果你想要在散点图中绘制5000点,如果你问我最终得到的是小传说或巨型情节标记,那就是一场灾难。
所以问题是A或B解决方案类型:A:找到一种方法来使用plotlyproxy
而不更改我的legend
marker
size
或B:找到一种方法来分别调整legend
的大小,以一种不受影响的方式,当plotlyproxy
开火
我欢迎那些了解这个图例大小问题的人的任何反馈。
注意:可能这可以用javascript完成,但如果在这种情况下,我可能需要提供更多关于我正在努力实现的实际应用程序的信息
这是显示它的虚拟应用程序:
library(plotly)
library(shiny)
library(htmlwidgets)
library(colourpicker)
ui <- fluidPage(
fluidRow(
column(8,
plotlyOutput("plot1")
),
column(2,
colourpicker::colourInput(inputId = 'markercolor', label = 'X',
palette = "limited",
showColour = "background", returnName = TRUE),
selectInput(inputId = 'traceNo', label = 'Trace', choices = c(1:3), selected = 1),
br(),
h5('Switch'),
actionButton(inputId = 'Switch', label = icon('refresh'), style = "color: #f7ad6e; background-color: white; border-color: #f7ad6e;
height: 40px; width: 40px; border-radius: 6px; border-width: 2px; text-align: center; line-height: 50%; padding: 0px; display:block; margin: 2px")
)
)
)
server <- function(input, output, session) {
# values <- reactiveValues()
observeEvent(input$Switch, {
plotlyProxy("plot1", session) %>%
plotlyProxyInvoke("restyle", list(marker = list(color = input$markercolor)), list(as.numeric(input$traceNo)-1))
})
output$plot1 <- renderPlotly({
markersize <- 4
markerlegendsize <- 20
colors <- c('red', 'blue', 'black')
p1 <- plot_ly()
p1 <- add_trace(p1, data = mtcars, x = ~disp, y = ~mpg, type = 'scatter', mode = 'markers', color = ~as.factor(cyl), colors = colors)
p1 <- layout(p1, title = 'mtcars group by cyl with switching colors')
p1 <- plotly_build(p1)
## this is a bit of a hack to change the size of the legend markers to not be equal to the plot marker size.
## it makes a list of 1 size value for each marker in de trace in the plot, and another half of with sizes that are a lot bigger.
## the legend marker size is effectively the average size of all markers of a trace
for(i in seq(1, length(sort(unique(mtcars$cyl) )))) {
length.group <- nrow(mtcars[which(mtcars$cyl == sort(unique(mtcars$cyl))[i]), ])
p1$x$data[[i]]$marker$size <- c(rep(markersize,length.group), rep(c(-markersize+2*markerlegendsize), length.group))
}
p1
})
}
shinyApp(ui, server)
您可以使用shinyJS注入custon javascript代码。在这里,我使用一些d3来选择图例项并更改它们的大小。这是非常hacky但不幸的是,据我所知,情节上没有提供内部解决方案。
library(plotly)
library(shiny)
library(htmlwidgets)
library(colourpicker)
library(shinyjs)
jsCode <- "shinyjs.changelegend = function(){
var paths = d3.select('#plot1').
select('.legend').
select('.scrollbox').
selectAll('.traces').
select('.scatterpts')
.attr('d','M8,0A8,8 0 1,1 0,-8A8,8 0 0,1 8,0Z');}"
ui <- fluidPage(
tags$script(src = "https://d3js.org/d3.v4.min.js"),
useShinyjs(),
extendShinyjs(text = jsCode),
fluidRow(
column(8,
plotlyOutput("plot1")
),
column(2,
colourpicker::colourInput(inputId = 'markercolor', label = 'X',
palette = "limited",
showColour = "background", returnName = TRUE),
selectInput(inputId = 'traceNo', label = 'Trace', choices = c(1:3), selected = 1),
br(),
h5('Switch'),
actionButton(inputId = 'Switch', label = icon('refresh'), style = "color: #f7ad6e; background-color: white; border-color: #f7ad6e;
height: 40px; width: 40px; border-radius: 6px; border-width: 2px; text-align: center; line-height: 50%; padding: 0px; display:block; margin: 2px")
)
),
tags$div(id = "test")
)
server <- function(input, output, session) {
# values <- reactiveValues()
observeEvent(input$Switch, {
plotlyProxy("plot1", session) %>%
plotlyProxyInvoke("restyle", list(marker = list(color = input$markercolor)), list(as.numeric(input$traceNo)-1))
})
observeEvent(input$Switch,{
js$changelegend()
})
output$plot1 <- renderPlotly({
markersize <- 4
markerlegendsize <- 20
colors <- c('red', 'blue', 'black')
p1 <- plot_ly()
p1 <- add_trace(p1, data = mtcars, x = ~disp, y = ~mpg, type = 'scatter', mode = 'markers', color = ~as.factor(cyl), colors = colors)
p1 <- layout(p1, title = 'mtcars group by cyl with switching colors')
p1 <- plotly_build(p1)
# this is a bit of a hack to change the size of the legend markers to not be equal to the plot marker size.
# it makes a list of 1 size value for each marker in de trace in the plot, and another half of with sizes that are a lot bigger.
# the legend marker size is effectively the average size of all markers of a trace
for(i in seq(1, length(sort(unique(mtcars$cyl) )))) {
length.group <- nrow(mtcars[which(mtcars$cyl == sort(unique(mtcars$cyl))[i]), ])
p1$x$data[[i]]$marker$size <- c(rep(markersize,length.group), rep(c(-markersize+2*markerlegendsize), length.group))
}
return(p1)
})
}
shinyApp(ui, server)
自定义javascript代码在jsCode
中定义,extendShinyjs()
在js$changelegend()
中初始化。最后,只要单击按钮,就会在js$changelegend()
中调用它。
如果你有多个图并且你想要相同的行为,你可以将plot id作为参数传递给jsCode
并相应地改变qazxswpoi来处理这个问题。