Readjusting axes on plotly plot after filtering

[Jonathan Burns]

This is the same in concept to issue #107, however, that issue was for leaflet and my request is for a plotly plot.

Essentially, I have a large plot with a lot of data. I wanted to use filter_slider to be able to zoom in on a portion of the data; however, what ends up happening is just that the data that is filtered out is removed from the plot, but the axes themselves do not change.

I created a reproducible example below from the mtcars dataset:

library(crosstalk)
library(plotly)
library(ggplot2)
library(dplyr)

shared_mtcars <- SharedData$new(mtcars)

tt<-shared_mtcars %>% 
  ggplot(aes(x=mpg, y=hp))+
  geom_point(size=2)+
  theme_bw()+
  scale_x_continuous(limits=c(min(shared_mtcars$data()$mpg), max(shared_mtcars$data()$mpg)))

bscols(widths = 10,
       list(
         filter_slider("mpg", "MPG", shared_mtcars, ~mpg)
       ),
      ggplotly(tt)
)

As you can see, I attempted to adjust the limits on my graph based on the shared_mtcars SharedData, but it still didn't adjust the graph.

In addition to attempting to adjust within scale_x_continuous(...), I also tried coord_cartesian(xlim=...) but got the same result.

If this functionality could be added, I believe it would be very beneficial.