| e_append1_p | R Documentation | 
Append data dynamically.
e_append1_p(proxy, series_index = NULL, data, x, y, name = NULL)
e_append1_p_(proxy, series_index = NULL, data, x, y, name = NULL)
e_append2_p(
  proxy,
  series_index = NULL,
  data,
  x,
  y,
  z,
  scale = NULL,
  symbol_size = 1
)
e_append2_p_(
  proxy,
  series_index = NULL,
  data,
  x,
  y,
  z,
  scale = NULL,
  symbol_size = 1
)
proxy | 
 An echarts4r proxy as returned by   | 
series_index | 
 Index of serie to append to (starts from 0).  | 
data | 
 Data.frame containing data to append.  | 
x, y, z | 
 Columns names to plot.  | 
name | 
 if using 'bind' with e.g 'e_scatter' this can be used to supply the colname for the name attribute bind is mapping to  | 
scale | 
 A scaling function as passed to   | 
symbol_size | 
 Multiplier of scaling function as in   | 
Currently not all types of series supported incremental rendering when using appendData.
Only these types of series support it: e_scatter and e_line of pure echarts, and
e_scatter_3d, and e_line_3d of echarts-gl.
## Not run: 
library(shiny)
ui <- fluidPage(
  actionButton("add", "Add Data to y"),
  echarts4rOutput("plot"),
  h4("Brush"),
  verbatimTextOutput("selected"),
  h4("Legend select change"),
  verbatimTextOutput("legend")
)
server <- function(input, output, session) {
  data <- data.frame(x = rnorm(10, 5, 3), y = rnorm(10, 50, 12), z = rnorm(10, 5, 20))
  react <- eventReactive(input$add, {
    set.seed(sample(1:1000, 1))
    data.frame(x = rnorm(10, 5, 2), y = rnorm(10, 50, 10), z = rnorm(10, 5, 20))
  })
  output$plot <- renderEcharts4r({
    data |>
      e_charts(x) |>
      e_scatter(y, z, scale = NULL) |>
      e_scatter(z) |>
      e_brush()
  })
  observeEvent(input$add, {
    echarts4rProxy("plot") |>
      e_append2_p(0, react(), x, y, z)
  })
  output$selected <- renderPrint({
    input$plot_brush
  })
  output$legend <- renderPrint({
    input$plot_legend_change
  })
}
shinyApp(ui, server)
## End(Not run)
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