plotly (version 4.5.2)

add_fun: Apply function to plot, without modifying data

Description

Useful when you need two or more layers that apply a summary statistic to the original data.

Usage

add_fun(p, fun, ...)

Arguments

p

a plotly object.

fun

a function. Should take a plotly object as input and return a modified plotly object.

...

arguments passed to fun.

Examples

# NOT RUN {
txhousing %>% 
  group_by(city) %>%
  plot_ly(x = ~date, y = ~median) %>%
  add_lines(alpha = 0.2, name = "Texan Cities") %>%
  add_fun(function(plot) {
    plot %>% filter(city == "Houston") %>% add_lines(name = "Houston")
  }) %>%
  add_fun(function(plot) {
    plot %>% filter(city == "San Antonio") %>% add_lines(name = "San Antonio")
  })

plot_ly(mtcars, x = ~wt, y = ~mpg) %>%
  add_markers() %>%
  add_fun(function(p) {
    p %>% slice(which.max(mpg)) %>% 
      add_annotations("Good mileage")
  }) %>%
  add_fun(function(p) {
    p %>% slice(which.min(mpg)) %>% 
      add_annotations(text = "Bad mileage")
  })

# }