Can you implement geom_GeomTextNpc() in plotly ?
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Description
Hi,
I'm using the package ggpmisc to display on ggplot graphique the R² and equation of regression thanks to ggpmisc::stat_poly_eq().
This is working well when I am plotting the ggplot graphic. But when I want to use the function ggplotly() to display the graphic, the R² and the equation disappear.
I receive this messages :
Warning message:
In geom2trace.default(dots[[1L]][[1L]], dots[[2L]][[1L]], dots[[3L]][[1L]]) :
geom_GeomTextNpc() has yet to be implemented in plotly.
If you'd like to see this geom implemented,
Please open an issue with your example code at
https://github.com/ropensci/plotly/issues
If you have the time, and the desire to implement geom_GeomTextNpc() in plotly, it could be super nice.
I give you a small code to reproduce the problem
#Data cration
df<-tibble(a=c(2,6,3,4,10),
b=c(3,6,9,12,15))
df
#relation
myFormula<- y ~ poly(x,2,raw = TRUE)
#ggplot
df_plot<-ggplot(data = df,aes(x = a,y = b))+
geom_point()+
geom_smooth(method = lm,
formula = myFormula)+
ggtitle("polynomial 2")+
#from here problem with ggplotly
ggpmisc::stat_poly_eq(
aes(label=paste("atop(",stat(rr.label),",",
stat(eq.label),")",
sep="")),
formula = myFormula,parse = TRUE)
df_plot
#plotly
ggplotly(df_plot)
The ggplot graphic :

And here the graphic with plotly:

Thank you for creating and implementing plotly 👍
Best,
Fanny
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with the geom2trace.default warning for geom_GeomTextNpc() and run the supplied ggplotly(df_plot) reproduction. Trace how ggplot2 layers are converted by ggplotly, then determine the implementation needed for this geom. Done means the warning is gone and the R² and regression equation appear in the interactive plot.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- plotly, r
- Domain
- data-visualization
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100