Keeping dot size fixed on scatterplot

Dash Python
1

Hello,

I followed https://dashr.plotly.com/layout. The dot size changes every time when zooming in or out. I would like to keep the dot size fixed when zooming in and out of a plot.

Is there an option to do that?

library(dash)
library(dashCoreComponents)
library(dashHtmlComponents)

app <- Dash$new()

df <- read.csv(
  file = "https://raw.githubusercontent.com/plotly/datasets/master/gapminderDataFiveYear.csv",
  stringsAsFactor=FALSE,
  check.names=FALSE
)

continents <- unique(df$continent)

data_gdp_life_exp_2007 <- with(df,
  lapply(continents,
         function(cont) {
           list(
             x = gdpPercap[continent == cont],
             y = lifeExp[continent == cont],
             opacity=0.7,
             text = country[continent == cont],
             mode = 'markers',
             name = cont,
             marker = list(size = 15,
                           line = list(width = 0.5, color = 'white'))
           )
         }
  )
)

app$layout(
  htmlDiv(
    list(
      dccGraph(
        id = 'life-exp-vs-gdp',
        figure = list(
          data =  data_gdp_life_exp_2007,
          layout = list(
            xaxis = list('type' = 'log', 'title' = 'GDP Per Capita'),
            yaxis = list('title' = 'Life Expectancy'),
            margin = list('l' = 40, 'b' = 40, 't' = 10, 'r' = 10),
            legend = list('x' = 0, 'y' = 1),
            hovermode = 'closest'
          )
        )
      )
    )
  )
)

app$run_server()
2

Hi @schienstockd welcome to the forum! This is not possible at the moment but I’ve created an issue for this in https://github.com/plotly/plotly.js/issues/4838. If someone from an organization with a software budget is interested in this feature, feature development can be accelerated with sponsoring :-).

If you really need circle markers which have a shape defined in data units, you could use shapes (possibly in combination with a trace with transparent markers if you want to have hover information).

3

Sounds good. The shapes would work for me.
I would like to display these shapes (derived from image segmentation) on images.

Is there a way to make these shapes editable?

I found the documentation for the python plotly version:

fig.add_shape(editable=True,
              x0=-1, x1=0, y0=2, y1=3,
              xref='x1', yref='y1')

My naive attempt to do this in R did not work.

fig <- fig %>% add_trace(
  x = c(0, 0, 100, 100),
  y = c(0, 100, 100, 0),
  type = 'scatter',
  fill = 'toself',
  fillcolor = '#e763fa',
  opacity = 0.5
  # editable = TRUE # ?
)

Is there a way to do this in dashr?

4

The editable attribute for shapes has just been added to plotly.js 1.54 and plotly.py 4.7 but it is not yet available in plotly R. However there is a config attribute editable=True to be able to edit all shapes.

5

Can I extract the datapoints that are within a shape? - In the same way as you can get the data points from ‘Box Select’?

Can I get the coordinates of the shapes as you have shown with dash-canvas?