R Shiny + plotly：使用 javascript 改变轨迹的颜色而不影响多个图中的标记和图例
R Shiny + plotly : change color of a trace with javascript without affecting markers and legend in multiple plots
这是基于 post 的后续问题。
这里的演示应用程序更接近于我真实 shiny app 的更复杂情况，我试图通过替换导致 [=17= 的重新 rendering 的代码来改进] 对象的 javascript 代码改变了现有的 plots。
此应用有：
- 4 个独特的地块 ID's
- 一组 2 plots 收听同一组 colourInputs，每个 trace 一组 plot
- 所有 plots 中的 legend 和 marker size 链接到 numericInputs
针对此解决方案对上一个问题的 javascript 的修改需要：
- 按照 size inputs
- 按照 trace - colourInput 链接
- 目标跟踪 n in 2 plots 基于 colourInput n 属于那些 2 plots。
编辑：稍微简化的场景
现在让我们放弃图例问题，因为 Stephane 的解决方案第 2 部分做了我想要的颜色。我稍后会处理图例尺寸。
修改后的版本可能更清晰一些。
javascript 应该：
如果 plot id 是“plot1”或“plot2”听color-set1-1直到-3
如果 plot id 是 'plot3' 或 'plot4'，lister 到 color-set2-1 直到 -3
我想我们需要在 js 中添加一些行，例如：“
"var setnr = parseInt(id.split('-')[1]) ;",
查看我们正在查看的是哪一组按钮，然后是一个实现的 if 语句：
if 'setnr' == set1 , then var plots = plot1, plot2
else if 'setnr == set2, then var plots = plot3, plot4
and then update the trace in 'plots'
在新的应用程序中，color-set1-1、color-set1-2、color-set1-3 仍然针对所有 4 个绘图。
library(plotly)
library(shiny)
library(colourpicker)
library(htmlwidgets)
js <- c(
"function(el,x){",
" $('[id^=Color]').on('change', function(){",
" var color = this.value;",
" var id = this.id;",
" var index = parseInt(id.split('-')[1]) - 1;",
" var data = el.data;",
" var marker = data[index].marker;",
" marker.color = color;",
" Plotly.restyle(el, {marker: marker}, [index]);",
" });",
"}")
ui <- fluidPage(
fluidRow(
column(4,plotlyOutput("plot1")),
column(4,plotlyOutput("plot2")),
column(4,
colourInput("Color-1", "Color item 1", value = "blue"), # these buttons will become named Color-set1-1, Color-set1-2, Color-set1-3
colourInput("Color-2", "Color item 2", value = "red"), # but that requires an extra change to the js
colourInput("Color-3", "Color item 3", value = "green")
)
),
fluidRow(
column(4,plotlyOutput("plot3")),
column(4,plotlyOutput("plot4")),
column(4,
colourInput("Color-set2-1", "Color item 1", value = "blue"),
colourInput("Color-set2-2", "Color item 2", value = "red"),
colourInput("Color-set2-3", "Color item 3", value = "green")
)
)
)
server <- function(input, output, session) {
values <- reactiveValues(colors1 = c('red', 'blue', 'black'), colors2 = c('yellow', 'blue', 'green') )
myplotly <- function(THEPLOT, xvar, setnr) {
markersize <- input[[paste('markersize', THEPLOT, sep = '_')]]
markerlegendsize <- input[[paste('legendsize', THEPLOT, sep = '_')]]
colors <- isolate ({values[[paste('colors', setnr, sep = '')]] })
p <- plot_ly(source = paste('plotlyplot', THEPLOT, sep = '.'))
p <- add_trace(p, data = mtcars, x = mtcars[[xvar]], y = ~mpg, type = 'scatter', mode = 'markers', color = ~as.factor(cyl), colors = colors)
p <- layout(p, title = 'mtcars group by cyl with switching colors')
p <- plotly_build(p)
p %>% onRender(js)
}
output$plot1 <- renderPlotly({ myplotly('plot1', 'hp', 1) })
output$plot2 <- renderPlotly({ myplotly('plot2', 'disp', 1)})
output$plot3 <- renderPlotly({ myplotly('plot3','hp', 2)})
output$plot4 <- renderPlotly({ myplotly('plot4', 'disp', 2)})
}
shinyApp(ui, server)
原APP：
library(plotly)
library(shiny)
library(htmlwidgets)
library(colourpicker)
library(shinyjs)
## javascript from previous question's answer:
jsCode <- "shinyjs.changelegend = function(){
var paths = d3.select('#plot1').
select('.legend').
select('.scrollbox').
selectAll('.traces').
select('.scatterpts')
.attr('d','M8,0A8,8 0 1,1 0,-8A8,8 0 0,1 8,0Z');}"
ui <- fluidPage(
tags$script(src = "https://d3js.org/d3.v4.min.js"),
useShinyjs(),
extendShinyjs(text = jsCode),
fluidRow(
column(2,numericInput(inputId = 'markersize_plot1', label = 'marker', min = 1, max = 40, value = 20)),
column(2,numericInput(inputId = 'legendsize_plot1', label = 'legend', min = 1, max = 40, value = 10)),
column(2,numericInput(inputId = 'markersize_plot2', label = 'marker', min = 1, max = 40, value = 4)),
column(2,numericInput(inputId = 'legendsize_plot2', label = 'legend', min = 1, max = 40, value = 20))
),
fluidRow(
column(4,plotlyOutput("plot1")),
column(4,plotlyOutput("plot2")),
column(2,uiOutput('buttons_color_1'))
),
fluidRow(
column(2,numericInput(inputId = 'markersize_plot3', label = 'marker', min = 1, max = 40, value = 10)),
column(2,numericInput(inputId = 'legendsize_plot3', label = 'legend', min = 1, max = 40, value = 30)),
column(2,numericInput(inputId = 'markersize_plot4', label = 'marker', min = 1, max = 40, value = 7)),
column(2,numericInput(inputId = 'legendsize_plot4', label = 'legend', min = 1, max = 40, value = 40))
),
fluidRow(
column(4,plotlyOutput("plot3")),
column(4,plotlyOutput("plot4")),
column(2,uiOutput('buttons_color_2'))
)
)
server <- function(input, output, session) {
values <- reactiveValues(colors1 = c('red', 'blue', 'black'), colors2 = c('yellow', 'blue', 'green') )
lapply(c(1:2), function(i) {
output[[paste('buttons_color_', i,sep = '')]] <- renderUI({
isolate({ lapply(1:3, function(x) { ## 3 in my app changes based on clustering output of my model
Idname <- if(i == 1) { COLElement_1(x) } else {COLElement_2(x) }
div(colourpicker::colourInput(inputId = Idname, label = NULL,
palette = "limited", allowedCols = TheColors,
value = values[[paste('colors', i, sep = '')]][x],
showColour = "background", returnName = TRUE),
style = " height: 30px; width: 30px; border-radius: 6px; border-width: 2px; text-align:center; padding: 0px; display:block; margin: 10px")
})
})})
outputOptions(output, paste('buttons_color_', i,sep = ''), suspendWhenHidden=FALSE)
})
COLElement_1 <- function(idx){sprintf("COL_button_1-%d",idx)}
lapply(1:3, function(ob) {
COLElement_1 <- COLElement_1(ob)
observeEvent(input[[COLElement_1]], {
values[[paste('colors', 1, sep = '')]][ob] <- input[[COLElement_1]]
plotlyProxy("plot1", session) %>%
plotlyProxyInvoke("restyle", list(marker = list(color = input[[COLElement_1]])), list(as.numeric(ob)-1))
plotlyProxy("plot2", session) %>%
plotlyProxyInvoke("restyle", list(marker = list(color = input[[COLElement_1]])), list(as.numeric(ob)-1))
})
})
COLElement_2 <- function(idx){sprintf("COL_button_2-%d",idx)}
lapply(1:3, function(ob) {
COLElement_2 <- COLElement_2(ob)
observeEvent(input[[COLElement_2]], {
values[[paste('colors', 2, sep = '')]][ob] <- input[[COLElement_2]]
plotlyProxy("plot3", session) %>%
plotlyProxyInvoke("restyle", list(marker = list(color = input[[COLElement_2]])), list(as.numeric(ob)-1))
plotlyProxy("plot4", session) %>%
plotlyProxyInvoke("restyle", list(marker = list(color = input[[COLElement_2]])), list(as.numeric(ob)-1))
})
})
myplotly <- function(THEPLOT, xvar, setnr) {
markersize <- input[[paste('markersize', THEPLOT, sep = '_')]]
markerlegendsize <- input[[paste('legendsize', THEPLOT, sep = '_')]]
colors <- isolate ({values[[paste('colors', setnr, sep = '')]] })
p <- plot_ly(source = paste('plotlyplot', THEPLOT, sep = '.'))
p <- add_trace(p, data = mtcars, x = mtcars[[xvar]], y = ~mpg, type = 'scatter', mode = 'markers', color = ~as.factor(cyl), colors = colors)
p <- layout(p, title = 'mtcars group by cyl with switching colors')
p <- plotly_build(p)
# 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$cyl))[i]), ])
p$x$data[[i]]$marker$size <- c(rep(markersize,length.group), rep(c(-markersize+2*markerlegendsize), length.group))
}
p
}
output$plot1 <- renderPlotly({ myplotly('plot1', 'hp', 1) })
output$plot2 <- renderPlotly({ myplotly('plot2', 'disp', 1)})
output$plot3 <- renderPlotly({ myplotly('plot3','hp', 2)})
output$plot4 <- renderPlotly({ myplotly('plot4', 'disp', 2)})
}
shinyApp(ui, server)
我迷路了:)
开始吧。这是一个允许更改标记大小的应用程序：
library(plotly)
library(shiny)
js <- paste(c(
"$(document).ready(function(){",
" $('#size').on('change', function(){",
" var size = Number(this.value);",
" var plot = document.getElementById('plot');",
" var data = plot.data;",
" $.each(data, function(index,value){",
" var marker = data[index].marker;",
" marker.size = size;",
" Plotly.restyle(plot, {marker: marker}, [index]);",
" });",
" });",
"})"), sep = "\n")
ui <- fluidPage(
tags$head(
tags$script(HTML(js))
),
plotlyOutput("plot"),
numericInput("size", "Size", value = 5, min = 1, max = 15)
)
server <- function(input, output, session) {
output$plot <- renderPlotly({
p <- plot_ly()
for(name in c("drat", "wt", "qsec"))
{
p <- add_markers(p, x = as.numeric(mtcars$cyl), y = as.numeric(mtcars[[name]]), name = name)
}
p
})
}
shinyApp(ui, server)
这是一个允许更改标记颜色的应用程序：
library(plotly)
library(shiny)
library(colourpicker)
library(htmlwidgets)
js <- c(
"function(el,x){",
" $('[id^=Color]').on('change', function(){",
" var color = this.value;",
" var id = this.id;",
" var index = parseInt(id.split('-')[1]) - 1;",
" var data = el.data;",
" var marker = data[index].marker;",
" marker.color = color;",
" Plotly.restyle(el, {marker: marker}, [index]);",
" });",
"}")
ui <- fluidPage(
plotlyOutput("plot"),
colourInput("Color-1", "Color item 1", value = "blue"),
colourInput("Color-2", "Color item 2", value = "red"),
colourInput("Color-3", "Color item 3", value = "green")
)
server <- function(input, output, session) {
output$plot <- renderPlotly({
p <- plot_ly()
for(name in c("drat", "wt", "qsec"))
{
p <- add_markers(p, x = as.numeric(mtcars$cyl), y = as.numeric(mtcars[[name]]), name = name)
}
p %>% onRender(js)
})
}
shinyApp(ui, server)
有帮助吗？
有了闪亮，就可以使用color=~get(input$XXX)。这是我自己的代码示例：
fig = plot_mapbox()
# POLYGONS
fig = fig %>% add_sf(
data=districts,
split=~DISTRICT,
color=~log10(get(input$multi_indicator_districts.selectors.colorBy)))
# POINTS
fig = fig %>% add_trace(
type='scatter',
data=facilities,
x=~longitude,
y=~latitude,
split=~tier)
fig = fig %>% layout(
mapbox=list(
zoom=4,
style='open-street-map'))
这是基于
这里的演示应用程序更接近于我真实 shiny app 的更复杂情况，我试图通过替换导致 [=17= 的重新 rendering 的代码来改进] 对象的 javascript 代码改变了现有的 plots。
此应用有：
- 4 个独特的地块 ID's
- 一组 2 plots 收听同一组 colourInputs，每个 trace 一组 plot
- 所有 plots 中的 legend 和 marker size 链接到 numericInputs
针对此解决方案对上一个问题的 javascript 的修改需要：
- 按照 size inputs
- 按照 trace - colourInput 链接
- 目标跟踪 n in 2 plots 基于 colourInput n 属于那些 2 plots。
编辑：稍微简化的场景 现在让我们放弃图例问题，因为 Stephane 的解决方案第 2 部分做了我想要的颜色。我稍后会处理图例尺寸。
修改后的版本可能更清晰一些。
javascript 应该：
如果 plot id 是“plot1”或“plot2”听color-set1-1直到-3
如果 plot id 是 'plot3' 或 'plot4'，lister 到 color-set2-1 直到 -3
我想我们需要在 js 中添加一些行，例如：“
"var setnr = parseInt(id.split('-')[1]) ;",
查看我们正在查看的是哪一组按钮，然后是一个实现的 if 语句：
if 'setnr' == set1 , then var plots = plot1, plot2
else if 'setnr == set2, then var plots = plot3, plot4
and then update the trace in 'plots'
在新的应用程序中，color-set1-1、color-set1-2、color-set1-3 仍然针对所有 4 个绘图。
library(plotly)
library(shiny)
library(colourpicker)
library(htmlwidgets)
js <- c(
"function(el,x){",
" $('[id^=Color]').on('change', function(){",
" var color = this.value;",
" var id = this.id;",
" var index = parseInt(id.split('-')[1]) - 1;",
" var data = el.data;",
" var marker = data[index].marker;",
" marker.color = color;",
" Plotly.restyle(el, {marker: marker}, [index]);",
" });",
"}")
ui <- fluidPage(
fluidRow(
column(4,plotlyOutput("plot1")),
column(4,plotlyOutput("plot2")),
column(4,
colourInput("Color-1", "Color item 1", value = "blue"), # these buttons will become named Color-set1-1, Color-set1-2, Color-set1-3
colourInput("Color-2", "Color item 2", value = "red"), # but that requires an extra change to the js
colourInput("Color-3", "Color item 3", value = "green")
)
),
fluidRow(
column(4,plotlyOutput("plot3")),
column(4,plotlyOutput("plot4")),
column(4,
colourInput("Color-set2-1", "Color item 1", value = "blue"),
colourInput("Color-set2-2", "Color item 2", value = "red"),
colourInput("Color-set2-3", "Color item 3", value = "green")
)
)
)
server <- function(input, output, session) {
values <- reactiveValues(colors1 = c('red', 'blue', 'black'), colors2 = c('yellow', 'blue', 'green') )
myplotly <- function(THEPLOT, xvar, setnr) {
markersize <- input[[paste('markersize', THEPLOT, sep = '_')]]
markerlegendsize <- input[[paste('legendsize', THEPLOT, sep = '_')]]
colors <- isolate ({values[[paste('colors', setnr, sep = '')]] })
p <- plot_ly(source = paste('plotlyplot', THEPLOT, sep = '.'))
p <- add_trace(p, data = mtcars, x = mtcars[[xvar]], y = ~mpg, type = 'scatter', mode = 'markers', color = ~as.factor(cyl), colors = colors)
p <- layout(p, title = 'mtcars group by cyl with switching colors')
p <- plotly_build(p)
p %>% onRender(js)
}
output$plot1 <- renderPlotly({ myplotly('plot1', 'hp', 1) })
output$plot2 <- renderPlotly({ myplotly('plot2', 'disp', 1)})
output$plot3 <- renderPlotly({ myplotly('plot3','hp', 2)})
output$plot4 <- renderPlotly({ myplotly('plot4', 'disp', 2)})
}
shinyApp(ui, server)
原APP：
library(plotly)
library(shiny)
library(htmlwidgets)
library(colourpicker)
library(shinyjs)
## javascript from previous question's answer:
jsCode <- "shinyjs.changelegend = function(){
var paths = d3.select('#plot1').
select('.legend').
select('.scrollbox').
selectAll('.traces').
select('.scatterpts')
.attr('d','M8,0A8,8 0 1,1 0,-8A8,8 0 0,1 8,0Z');}"
ui <- fluidPage(
tags$script(src = "https://d3js.org/d3.v4.min.js"),
useShinyjs(),
extendShinyjs(text = jsCode),
fluidRow(
column(2,numericInput(inputId = 'markersize_plot1', label = 'marker', min = 1, max = 40, value = 20)),
column(2,numericInput(inputId = 'legendsize_plot1', label = 'legend', min = 1, max = 40, value = 10)),
column(2,numericInput(inputId = 'markersize_plot2', label = 'marker', min = 1, max = 40, value = 4)),
column(2,numericInput(inputId = 'legendsize_plot2', label = 'legend', min = 1, max = 40, value = 20))
),
fluidRow(
column(4,plotlyOutput("plot1")),
column(4,plotlyOutput("plot2")),
column(2,uiOutput('buttons_color_1'))
),
fluidRow(
column(2,numericInput(inputId = 'markersize_plot3', label = 'marker', min = 1, max = 40, value = 10)),
column(2,numericInput(inputId = 'legendsize_plot3', label = 'legend', min = 1, max = 40, value = 30)),
column(2,numericInput(inputId = 'markersize_plot4', label = 'marker', min = 1, max = 40, value = 7)),
column(2,numericInput(inputId = 'legendsize_plot4', label = 'legend', min = 1, max = 40, value = 40))
),
fluidRow(
column(4,plotlyOutput("plot3")),
column(4,plotlyOutput("plot4")),
column(2,uiOutput('buttons_color_2'))
)
)
server <- function(input, output, session) {
values <- reactiveValues(colors1 = c('red', 'blue', 'black'), colors2 = c('yellow', 'blue', 'green') )
lapply(c(1:2), function(i) {
output[[paste('buttons_color_', i,sep = '')]] <- renderUI({
isolate({ lapply(1:3, function(x) { ## 3 in my app changes based on clustering output of my model
Idname <- if(i == 1) { COLElement_1(x) } else {COLElement_2(x) }
div(colourpicker::colourInput(inputId = Idname, label = NULL,
palette = "limited", allowedCols = TheColors,
value = values[[paste('colors', i, sep = '')]][x],
showColour = "background", returnName = TRUE),
style = " height: 30px; width: 30px; border-radius: 6px; border-width: 2px; text-align:center; padding: 0px; display:block; margin: 10px")
})
})})
outputOptions(output, paste('buttons_color_', i,sep = ''), suspendWhenHidden=FALSE)
})
COLElement_1 <- function(idx){sprintf("COL_button_1-%d",idx)}
lapply(1:3, function(ob) {
COLElement_1 <- COLElement_1(ob)
observeEvent(input[[COLElement_1]], {
values[[paste('colors', 1, sep = '')]][ob] <- input[[COLElement_1]]
plotlyProxy("plot1", session) %>%
plotlyProxyInvoke("restyle", list(marker = list(color = input[[COLElement_1]])), list(as.numeric(ob)-1))
plotlyProxy("plot2", session) %>%
plotlyProxyInvoke("restyle", list(marker = list(color = input[[COLElement_1]])), list(as.numeric(ob)-1))
})
})
COLElement_2 <- function(idx){sprintf("COL_button_2-%d",idx)}
lapply(1:3, function(ob) {
COLElement_2 <- COLElement_2(ob)
observeEvent(input[[COLElement_2]], {
values[[paste('colors', 2, sep = '')]][ob] <- input[[COLElement_2]]
plotlyProxy("plot3", session) %>%
plotlyProxyInvoke("restyle", list(marker = list(color = input[[COLElement_2]])), list(as.numeric(ob)-1))
plotlyProxy("plot4", session) %>%
plotlyProxyInvoke("restyle", list(marker = list(color = input[[COLElement_2]])), list(as.numeric(ob)-1))
})
})
myplotly <- function(THEPLOT, xvar, setnr) {
markersize <- input[[paste('markersize', THEPLOT, sep = '_')]]
markerlegendsize <- input[[paste('legendsize', THEPLOT, sep = '_')]]
colors <- isolate ({values[[paste('colors', setnr, sep = '')]] })
p <- plot_ly(source = paste('plotlyplot', THEPLOT, sep = '.'))
p <- add_trace(p, data = mtcars, x = mtcars[[xvar]], y = ~mpg, type = 'scatter', mode = 'markers', color = ~as.factor(cyl), colors = colors)
p <- layout(p, title = 'mtcars group by cyl with switching colors')
p <- plotly_build(p)
# 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$cyl))[i]), ])
p$x$data[[i]]$marker$size <- c(rep(markersize,length.group), rep(c(-markersize+2*markerlegendsize), length.group))
}
p
}
output$plot1 <- renderPlotly({ myplotly('plot1', 'hp', 1) })
output$plot2 <- renderPlotly({ myplotly('plot2', 'disp', 1)})
output$plot3 <- renderPlotly({ myplotly('plot3','hp', 2)})
output$plot4 <- renderPlotly({ myplotly('plot4', 'disp', 2)})
}
shinyApp(ui, server)
我迷路了:) 开始吧。这是一个允许更改标记大小的应用程序：
library(plotly)
library(shiny)
js <- paste(c(
"$(document).ready(function(){",
" $('#size').on('change', function(){",
" var size = Number(this.value);",
" var plot = document.getElementById('plot');",
" var data = plot.data;",
" $.each(data, function(index,value){",
" var marker = data[index].marker;",
" marker.size = size;",
" Plotly.restyle(plot, {marker: marker}, [index]);",
" });",
" });",
"})"), sep = "\n")
ui <- fluidPage(
tags$head(
tags$script(HTML(js))
),
plotlyOutput("plot"),
numericInput("size", "Size", value = 5, min = 1, max = 15)
)
server <- function(input, output, session) {
output$plot <- renderPlotly({
p <- plot_ly()
for(name in c("drat", "wt", "qsec"))
{
p <- add_markers(p, x = as.numeric(mtcars$cyl), y = as.numeric(mtcars[[name]]), name = name)
}
p
})
}
shinyApp(ui, server)
这是一个允许更改标记颜色的应用程序：
library(plotly)
library(shiny)
library(colourpicker)
library(htmlwidgets)
js <- c(
"function(el,x){",
" $('[id^=Color]').on('change', function(){",
" var color = this.value;",
" var id = this.id;",
" var index = parseInt(id.split('-')[1]) - 1;",
" var data = el.data;",
" var marker = data[index].marker;",
" marker.color = color;",
" Plotly.restyle(el, {marker: marker}, [index]);",
" });",
"}")
ui <- fluidPage(
plotlyOutput("plot"),
colourInput("Color-1", "Color item 1", value = "blue"),
colourInput("Color-2", "Color item 2", value = "red"),
colourInput("Color-3", "Color item 3", value = "green")
)
server <- function(input, output, session) {
output$plot <- renderPlotly({
p <- plot_ly()
for(name in c("drat", "wt", "qsec"))
{
p <- add_markers(p, x = as.numeric(mtcars$cyl), y = as.numeric(mtcars[[name]]), name = name)
}
p %>% onRender(js)
})
}
shinyApp(ui, server)
有帮助吗？
有了闪亮，就可以使用color=~get(input$XXX)。这是我自己的代码示例：
fig = plot_mapbox()
# POLYGONS
fig = fig %>% add_sf(
data=districts,
split=~DISTRICT,
color=~log10(get(input$multi_indicator_districts.selectors.colorBy)))
# POINTS
fig = fig %>% add_trace(
type='scatter',
data=facilities,
x=~longitude,
y=~latitude,
split=~tier)
fig = fig %>% layout(
mapbox=list(
zoom=4,
style='open-street-map'))