闪亮的 ggplotly 图的动态高度

Question

我有一个基于 geom_col() 的 ggplotly 输出，其柱数变化很大。我想对其进行配置，以便无论有多少个条形图，条形图之间的间距（以及条形图的宽度）都保持不变，这意味着要更改绘图高度。以下是基于但对我没有影响。任何建议表示赞赏。

require(tidyverse)
require(shiny)
require(plotly)

ui = fluidPage(
  sidebarPanel(width = 3, 
      sliderInput('count', 'count', min = 3, max = 100, value = 100, step = 25)
  ),
  mainPanel(width = 9, 
      div(plotlyOutput("plot", height = '200vh'), 
          style='height:90vh !important; overflow:auto !important; background-color:yellow;')
  )
)

server <- function(input, output, session) {
  
  output$plot = renderPlotly({
    d = data.frame(x = head(sentences, input$count), y = rlnorm(input$count, meanlog = 5))
    p = d %>% ggplot(aes(fct_reorder(x, y), y)) +
      geom_col(width = 0.1, col='grey90') + geom_point(size = 2) + 
      coord_flip() +
      theme_minimal(base_size = 12) + theme(panel.grid.major.y = element_blank())
    pltly = ggplotly(p) %>% layout(xaxis = list(side ="top" ))
    pltly$height = nrow(d) * 15
    pltly
  })
  
}

shinyApp(ui = ui, server = server,
         options = list(launch.browser = FALSE))

Answer 1

您可以在ggplotly()或plot_ly()中指定width/height:

library(tidyverse)
library(shiny)
library(plotly)

ui = fluidPage(
  sidebarPanel(width = 3, 
               sliderInput('count', 'count', min = 3, max = 100, value = 100, step = 25)
  ),
  mainPanel(width = 9, 
            plotlyOutput("plot"),
  )
)

server <- function(input, output, session) {
  output$plot = renderPlotly({
    d = data.frame(x = head(sentences, input$count), y = rlnorm(input$count, meanlog = 5))
    p = d %>% ggplot(aes(fct_reorder(x, y), y)) +
      geom_col(width = 0.1, col='grey90') + geom_point(size = 2) + 
      coord_flip() +
      theme_minimal(base_size = 12) + theme(panel.grid.major.y = element_blank())
    pltly = ggplotly(p, height = nrow(d) * 15) %>% layout(xaxis = list(side ="top" ))
    pltly
  })
}

shinyApp(ui = ui, server = server, options = list(launch.browser = TRUE))

但是，您可能想要指定更大的最小高度，使用第一个选项，绘图会变得很窄。

闪亮的 ggplotly 图的动态高度

Dynamic height of shiny ggplotly plot

r

shiny

r-plotly

ggplotly