[Bug] Geom_smooth graphical error when converting from ggplot to plotly using ggplotly

Hello,

I have a graphical issue which shows up when converting a ggplot2 plot with geom_smooth to a plotly plot:

as you can see in the plotly plot, an extra nonsensical confidence interval ribbon gets generated below the fitted lines.

When I lower the confidence interval from 0.95 to 0.80 the ribbon in correctly displayed:

However this is not the confidence interval I need.
I know it has something to do with plotly as this is my ggplot (with confidence interval 0.95) used to generate the first bugged image:

Here is the (anonymized) code used to generate the plot(s):

p16 <- ggplot(data= df, order = rownames(x)) +
geom_point(data= df,aes(x=x.ordered, y=(mean1), color=paste("Number = ", Number))) +
geom_point(data= df,aes(x=x.ordered, y=(mean2), color=paste("Number2 = ", Number))) +
geom_smooth(data = dfcopy, aes(x=x.ordered, y=mean2, color=Number, group=Number), method="loess", level=0.95) +
ylab("y") + scale_y_continuous(limits=c(0, 1)) + xlab(paste("x")) +
theme_bw() + theme(plot.title = element_text(hjust = -.5, face="bold"), axis.title.x = element_text(hjust = 1, size = 14, face="bold"), axis.text.x = element_text(angle = 90, hjust = 1), axis.title.y = element_text(size = 14, face="bold")) +
ggtitle("") + labs(color = "\n\nType of data point: " )

p16 <- p16 + scale_color_manual(values=c("#B24745FF", "#DF8F44FF","#00A1D5FF", "#6A6599FF", "#00A1D5FF", "#6A6599FF"))
gp16 <- ggplotly(p16, tooltip=c("text")) %>% layout(legend = list(orientation = "v",xanchor = "center", x = 1.2), title = list())

Unfortunately I can't provide data or the axes, I also removed the ggplot text variable due to anonymous data.

If someone might know a solution to this graphical error, it would be greatly appreciated.

Aucun fichier du dépôt ni aucun test n’est nommé, et le rapporteur ne peut pas fournir les données ni les axes. Commencez par le chemin de conversion de ggplotly avec un graphique loess geom_smooth reproductible utilisant level=0.95, en le comparant à la sortie de ggplot. Le travail est terminé lorsque le ruban supplémentaire d’intervalle de confiance n’est plus généré et que le graphique converti correspond au graphique source.