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R Shiny DT - 用表格编辑表中的值

[英]R Shiny DT - edit values in table with reactive

Is it possible to update a reactive data source by editing the DT::DataTable? 是否可以通过编辑DT :: DataTable来更新被动数据源? Below code is based on this code with change that x is made reactive. 下面的代码是基于这个代码的变化,x被激活了。 The problem starts when trying to change x in observeEvent. 尝试在observeEvent中更改x时,问题就开始了。

The purpose of having x reactive is that I intend to source it from an external database, then have edits to the DT::DataTable write back to the database so that it stays in sync with what the user sees (I'm fine with doing that - it is not part of the question). 有x反应的目的是我打算从外部数据库中获取它,然后编辑DT :: DataTable写回数据库,以便它与用户看到的内容保持同步(我很好那 - 它不是问题的一部分)。

library(shiny)
library(DT)
shinyApp(
  ui = fluidPage(
    DTOutput('x1')
  ),
  server = function(input, output, session) {
    x = reactive({
      df <- iris
      df$Date = Sys.time() + seq_len(nrow(df))
      df
    })
    output$x1 = renderDT(x(), selection = 'none', editable = TRUE)

    proxy = dataTableProxy('x1')

    observeEvent(input$x1_cell_edit, {
      info = input$x1_cell_edit
      str(info)
      i = info$row
      j = info$col
      v = info$value

      # problem starts here
      x()[i, j] <<- isolate(DT::coerceValue(v, x()[i, j])) 
      replaceData(proxy, x(), resetPaging = FALSE)  # important
    })
  }
)

I am not sure if I understand you correctly, but maybe this solution might help you a bit. 我不确定我是否理解正确,但也许这个解决方案可能对你有所帮助。 I changed your reactive into a reactiveValues object and I removed the replaceData line. 我将您的被动变为reactiveValues对象,并删除了replaceData行。

library(shiny)
library(DT)
shinyApp(
  ui = fluidPage(
    DTOutput('x1'),
    verbatimTextOutput("print")
  ),
  server = function(input, output, session) {
    x = reactiveValues(df = NULL)

    observe({
      df <- iris
      df$Date = Sys.time() + seq_len(nrow(df))
      x$df <- df
    })

    output$x1 = renderDT(x$df, selection = 'none', editable = TRUE)

    proxy = dataTableProxy('x1')

    observeEvent(input$x1_cell_edit, {
      info = input$x1_cell_edit
      str(info)
      i = info$row
      j = info$col
      v = info$value

      # problem starts here
      x$df[i, j] <- isolate(DT::coerceValue(v, x$df[i, j]))
    })

    output$print <- renderPrint({
      x$df
    })
  }
)

如果你没有在DT中显示行名,那么你应该在info$col添加1以获得正确的列,即j = info$col + 1

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