在下面的虚拟应用程序中，用户可以通过拖动 1 个或多个点周围的区域来选择/取消选择点。 这会导致这些点的状态发生变化，从 data.table 中的 T <-> F 翻转。
我现在想要解决的是，如何在处理完event_data后将其清空，
或者至少确保用户可以连续两次选择同一组点。
即:现在，选择底部的三个点会将它们变成十字， 选择相同的三个点并打算将它们转回圆形当前不起作用，因为 event_data 与之前的选择相同。
我以为我可以正常工作，但事实证明我没有。
Plotly 允许通过双击清除事件数据，但我希望通过代码中的自动功能实现相同的效果，以便在处理后立即清除它。 我还尝试使用此解决方案来处理点击事件，但我无法让它适用于我的选择事件 HERE
useShinyjs(),
extendShinyjs(text = "shinyjs.resetSelect = function() { Shiny.onInputChange('.clientValue-plotly_click-A', 'null'); }"),
在 UI 中和 js$resetSelect() 在服务器 block 中
GIF 显示了拖动选择操作之间双击和不双击的行为之间的差异。
library(shiny)
library(plotly)
library(dplyr)
library(data.table)
testDF <- data.table( MeanDecreaseAccuracy = runif(10, min = 0, max = 1), Variables = letters[1:10])
testDF$Selected <- T
ui <- fluidPage(
plotlyOutput('RFAcc_FP1', width = 450)
)
server <- function(input, output, session) {
values <- reactiveValues(RFImp_FP1 = testDF)
observe({
if(!is.null( values$RFImp_FP1)) {
values$Selected <- event_data("plotly_selected", source = 'RFAcc_FP1')$y
}
})
observeEvent(values$Selected, {
parsToChange <- event_data("plotly_selected", source = 'RFAcc_FP1')$y
if(!is.null(event_data("plotly_selected", source = 'RFAcc_FP1'))){
data_df <- values$RFImp_FP1
data_df <- data_df %>% .[, Selected := if_else(Variables %in% parsToChange, !Selected, Selected)]
values$RFImp_FP1 <- NULL
values$RFImp_FP1 <- data_df
}
})
output$RFAcc_FP1 <- renderPlotly({
RFImp_score <- values$RFImp_FP1[order(MeanDecreaseAccuracy)]
plotheight <- length(RFImp_score$Variables) * 80
colors <- if(length(unique(RFImp_score$Selected)) > 1) { c('#F0F0F0', '#1b73c1') } else { '#1b73c1' }
symbols <- if(length(unique(RFImp_score$Selected)) > 1) { c('x', 'circle') } else { 'circle' }
p <- plot_ly(data = RFImp_score,
source = 'RFAcc_FP1',
height = plotheight,
width = 450) %>%
add_trace(x = RFImp_score$MeanDecreaseAccuracy,
y = RFImp_score$Variables,
type = 'scatter',
mode = 'markers',
color = factor(RFImp_score$Selected),
colors = colors,
symbol = factor(RFImp_score$Selected),
symbols = symbols,
marker = list(size = 6),
hoverinfo = "text",
text = ~paste ('<br>', 'Parameter: ', RFImp_score$Variables,
'<br>', 'Mean decrease accuracy: ', format(round(RFImp_score$MeanDecreaseAccuracy*100, digits = 2), nsmall = 2),'%',
sep = '')) %>%
layout(
margin = list(l = 160, r= 20, b = 70, t = 50),
hoverlabel = list(font=list( color = '#1b73c1'), bgcolor='#f7fbff'),
xaxis = list(title = 'Mean decrease accuracy index (%)',
tickformat = "%",
showgrid = F,
showline = T,
zeroline = F,
nticks = 5,
font = list(size = 8),
ticks = "outside",
ticklen = 5,
tickwidth = 2,
tickcolor = toRGB("black")
),
yaxis = list(categoryarray = RFImp_score$Variables,
autorange = T,
showgrid = F,
showline = T,
autotick = T,
font = list(size = 8),
ticks = "outside",
ticklen = 5,
tickwidth = 2,
tickcolor = toRGB("black")
),
dragmode = "select"
) %>% add_annotations(x = 0.5,
y = 1.05,
textangle = 0,
font = list(size = 14,
color = 'black'),
text = "Contribution to accuracy",
showarrow = F,
xref='paper',
yref='paper')
p <- p %>% config(displayModeBar = F)
p
})
}
shinyApp(ui, server)
最佳答案
请检查以下内容:
library(shiny)
library(plotly)
library(data.table)
testDF <- data.table(MeanDecreaseAccuracy = runif(10, min = 0, max = 1), Variables = letters[1:10], Selected = TRUE)
setorder(testDF, MeanDecreaseAccuracy)
ui <- fluidPage(
plotlyOutput('RFAcc_FP1', width = 450)
)
server <- function(input, output, session) {
RFImp_score <- reactive({
eventData <- event_data("plotly_selected", source = 'RFAcc_FP1_source', session)
parsToChange <- eventData$y
testDF[Variables %in% parsToChange, Selected := !Selected]
testDF
})
output$RFAcc_FP1 <- renderPlotly({
req(RFImp_score())
plotheight <- length(RFImp_score()$Variables) * 80
colors <- if (length(unique(RFImp_score()$Selected)) > 1) {
c('#F0F0F0', '#1b73c1')
} else {
if (unique(RFImp_score()$Selected)) {
'#1b73c1'
} else {
'#F0F0F0'
}
}
symbols <-
if (length(unique(RFImp_score()$Selected)) > 1) {
c('x', 'circle')
} else {
if (unique(RFImp_score()$Selected)) {
'circle'
} else {
'x'
}
}
p <- plot_ly(data = RFImp_score(),
source = 'RFAcc_FP1_source',
height = plotheight,
width = 450) %>%
add_trace(x = ~MeanDecreaseAccuracy,
y = ~Variables,
type = 'scatter',
mode = 'markers',
color = ~factor(Selected),
colors = colors,
symbol = ~factor(Selected),
symbols = symbols,
marker = list(size = 6),
hoverinfo = "text",
text = ~paste('<br>', 'Parameter: ', ~Variables,
'<br>', 'Mean decrease accuracy: ', format(round(MeanDecreaseAccuracy*100, digits = 2), nsmall = 2),'%',
sep = '')) %>%
layout(
margin = list(l = 160, r= 20, b = 70, t = 50),
hoverlabel = list(font=list( color = '#1b73c1'), bgcolor='#f7fbff'),
xaxis = list(title = 'Mean decrease accuracy index (%)',
tickformat = "%",
showgrid = F,
showline = T,
zeroline = F,
nticks = 5,
font = list(size = 8),
ticks = "outside",
ticklen = 5,
tickwidth = 2,
tickcolor = toRGB("black")
),
yaxis = list(categoryarray = ~Variables,
autorange = T,
showgrid = F,
showline = T,
autotick = T,
font = list(size = 8),
ticks = "outside",
ticklen = 5,
tickwidth = 2,
tickcolor = toRGB("black")
),
dragmode = "select"
) %>% add_annotations(x = 0.5,
y = 1.05,
textangle = 0,
font = list(size = 14,
color = 'black'),
text = "Contribution to accuracy",
showarrow = F,
xref='paper',
yref='paper')
p <- p %>% config(displayModeBar = F)
p
})
}
shinyApp(ui, server)
结果:
关于javascript - 处理后从plotly select中清除event_data，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/56416234/