[英]Is there a way to use picker/selectInput in conjunction with an editable, reactive DT in shiny?
I have struggled with the following issue and have found no suitable solution on SO.我一直在努力解决以下问题,并且在 SO 上找不到合适的解决方案。
Here is what I require from my DataTable这是我对 DataTable 的要求
Thank you for your help in advance!提前谢谢你的帮助!
df <- iris
species <- unique(as.character(df$Species))
width <- unique(df$Petal.Width)
#==========================================UI=======================================================#
ui = navbarPage("CSAT & SA", theme = shinytheme("flatly"),
tabPanel("Sentiment Analysis",
sidebarLayout(
sidebarPanel(
pickerInput(inputId = "species",
label = "Species", selected = species,
choices = species, multiple = T,
options = list(`actions-box` = TRUE, `deselect-all-text` = "None...",
`select-all-text` = "Select All", `none-selected-text` = "None Selected")),
pickerInput(inputId = "width",
label = "Petal Width", selected = width,
choices = width, multiple = T,
options = list(`actions-box` = TRUE, `deselect-all-text` = "None...",
`select-all-text` = "Select All", `none-selected-text` = "None Selected")),
width = 2,
actionButton(inputId = "save", label = "Save"),
actionButton(inputId = "update", label = "Update")
),
mainPanel(
h2("Iris"), fluidRow(
tabPanel("Iris", DT::dataTableOutput("x1"),
width = 12)
)))))
#==========================================SERVER=======================================================#
server <- function(input, output, session) {
SA <- reactive({
df<-df %>%
filter(Species %in% input$species) %>%
filter(Petal.Width %in% input$width)
})
rec_val = reactiveValues(df = NULL)
observe({
rec_val$SA <- SA()
})
output$x1 = renderDT(SA(), selection = 'none', editable = list(target = 'cell', disable = list(columns=c(0,1,2))))
proxy = dataTableProxy('x1')
observeEvent(input$x1_cell_edit, {
info = input$x1_cell_edit
str(info)
i = info$row
j = info$col
v = info$value
rec_val$SA[i, j] <<- DT::coerceValue(v, rec_val$SA[i, j])
replaceData(proxy, rec_val$SA, resetPaging = FALSE)
})
observeEvent(input$save, {
saveRDS(rec_val$SA, "somewhere.rds") # write new data out
})
}
shinyApp(ui = ui, server = server)
Edit:编辑:
You need to use updatePickerInput()
to update the choices available based on the edits.您需要使用
updatePickerInput()
根据编辑更新可用的选项。 Also, define row id to keep the modified data.此外,定义行 id 以保留修改后的数据。 Using reset you can return to the original datatable.
使用重置您可以返回到原始数据表。 Try this
尝试这个
library(shinythemes)
dat <- iris
species <- unique(as.character(dat$Species))
width <- unique(dat$Petal.Width)
#==========================================UI=======================================================#
ui = navbarPage("CSAT & SA", theme = shinytheme("flatly"),
tabPanel("Sentiment Analysis",
sidebarLayout(
sidebarPanel(
pickerInput(inputId = "species",
label = "Species", selected = species,
choices = as.list(species), multiple = T,
options = list(`actions-box` = TRUE, `deselect-all-text` = "None...",
`select-all-text` = "Select All", `none-selected-text` = "None Selected")),
pickerInput(inputId = "width",
label = "Petal Width", selected = width,
choices = as.list(width), multiple = T,
options = list(`actions-box` = TRUE, `deselect-all-text` = "None...",
`select-all-text` = "Select All", `none-selected-text` = "None Selected")),
width = 2,
actionButton(inputId = "save", label = "Save"),
actionButton(inputId = "reset", label = "Reset")
),
mainPanel(
h2("Iris"), fluidRow(
tabPanel("Iris", DT::dataTableOutput("x1"), DTOutput("x2"),
width = 12)
)))))
#==========================================SERVER=======================================================#
server <- function(input, output, session) {
SA <- reactive({
row_id <- c(1:nrow(dat))
data <- data.frame(dat,row_id)
data
})
rv = reactiveValues(df = NULL)
observe({
rv$df <- SA() %>%
filter(Species %in% isolate(input$species)) %>%
filter(Petal.Width %in% isolate(input$width))
})
observeEvent(input$species, {
df1 <- SA() ### orig data
df2 <- rv$df ### modified data
if (is.null(df2)){
rvdf <- SA()
}else{
vn <- colnames(df1)
vnx <- paste0(vn,".x")
vny <- paste0(vn,".y")
rvdf <- left_join(df1, df2, by="row_id") %>% transmute(var1 = get(!!vnx[1]), var2 = get(!!vnx[2]), var3 = get(!!vnx[3]),
var4 = ifelse(is.na(get(!!vny[4])), get(!!vnx[4]), get(!!vny[4])),
var5 = get(!!vnx[5]), # ifelse(is.na(get(!!vny[5])), get(!!vnx[5]), get(!!vny[5])),
row_id)
colnames(rvdf) <- vn
}
rv$df <- rvdf %>%
filter(Species %in% input$species) %>%
filter(Petal.Width %in% input$width)
})
observeEvent(input$width, {
df1 <- SA() ### orig data
df2 <- rv$df ### modified data
if (is.null(df2)){
rvdf <- SA()
}else{
vn <- colnames(df1)
vnx <- paste0(vn,".x")
vny <- paste0(vn,".y")
### keep modified data, if present; if not, keep original data
rvdf <- left_join(df1, df2, by="row_id") %>% transmute(var1 = get(!!vnx[1]), var2 = get(!!vnx[2]), var3 = get(!!vnx[3]),
var4 = ifelse(is.na(get(!!vny[4])), get(!!vnx[4]), get(!!vny[4])), ## keep modified data
var5 = get(!!vnx[5]), # ifelse(is.na(get(!!vny[5])), get(!!vnx[5]), get(!!vny[5])),
row_id)
colnames(rvdf) <- vn
}
rv$df <- rvdf %>%
filter(Species %in% input$species) %>%
filter(Petal.Width %in% input$width)
})
output$x1 <- renderDT(rv$df, selection = 'none',
editable = list(target = 'cell', disable = list(columns=c(0,1,2))),
options = list(
columnDefs = list(
list(
visible = FALSE,
targets = 6
)
)
)
)
proxy <- dataTableProxy('x1')
observeEvent(input$x1_cell_edit, {
info = input$x1_cell_edit
str(info)
i = info$row
j = info$col
v = info$value
rv$df[i, j] <<- DT::coerceValue(v, rv$df[i, j])
#replaceData(proxy, rv$df, resetPaging = FALSE)
})
observeEvent(input$save, {
#choicess <- as.list(unique(c(as.character(rv$df[,5]), as.character(SA()[,5]))))
choicesp <- as.list(unique(c(rv$df[,4], SA()[,4])))
# updatePickerInput(session, inputId = "species", choices = choicess, selected=choicess)
updatePickerInput(session, inputId = "width", choices = choicesp, selected=choicesp)
saveRDS(rv$df, "somewhere.rds") # write new data out
df3 <- readRDS("C:/My Disk Space/_My Work/RStuff/GWS/somewhere.rds")
output$x2 <- renderDT({
df3
})
})
observeEvent(input$reset, {
rv$df <- SA()
# choicess <- unique(as.character(rv$df[,5]))
choicesp <- unique(SA()[,4])
# updatePickerInput(session, inputId = "species", choices = choicess, selected=choicess)
updatePickerInput(session, inputId = "width", choices = choicesp, selected=choicesp)
})
}
shinyApp(ui = ui, server = server)
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