I have a ggplotly
output based on geom_col()
for which the number of bars varies significantly. I'd like to configure it so the spacing between bars (and therefore also the bar width) remains constant no matter how many bars there are, which means changing the plot height. Below is based on this solution but has no effect for me. Any suggestions appreciated.
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))
You can specify width/height in ggplotly()
or plot_ly()
:
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))
However, you might want to specify a bigger minimum height, using the first option, the plot becomes quite narrow.