Let me start by saying I have tried the methods outlined in Color coding error bars in a plotly scatter plot, but I have not been able to get them to work. From what I can tell there were changes in how coloraxes are treated in plotly version 4, which might be why this no longer solves the problem.
I want to make a simple scatterplot of two variables with error bars for each variable. I would like the color of the points and their error bars to follow a scale determined by a third variable. I have been unable to make the error bar colors match the markers. Below are a couple simple methods I tried and their results.
set.seed(1)
x.data <- rnorm(20, 0, 1)
y.data <- rnorm(20, 2, 1)
x.err <- runif(20, 0.2, 0.8)
y.err <- runif(20, 0.2, 0.8)
z.data <- runif(20, 1.7, 2.8)
p <- plot_ly() %>%
add_markers(x=x.data, y=y.data,
error_x=list(array=x.err, color=z.data),
error_y=list(array=y.err, color=z.data),
marker=list(color=z.data, colorscale='Viridis',
colorbar=list(title='Z', limits=range(z.data)))) %>%
layout(xaxis=list(title='X'), yaxis=list(title='Y'))
z.norm <- (z.data - min(z.data))/(max(z.data)-min(z.data))
mycramp<-colorRamp(c("darkblue","yellow"))
mycolors<-rgb(mycramp(z.norm), maxColorValue = 255)
p <- plot_ly() %>%
add_markers(x=x.data, y=y.data,
error_x=list(array=x.err, color=mycolors),
error_y=list(array=y.err, color=mycolors),
marker=list(color=mycolors,
colorbar=list(title='Z', limits=range(z.data)))) %>%
layout(xaxis=list(title='X'), yaxis=list(title='Y'))
The documentation on r
plotly
can be a bit lacking. I think this is what you're looking for though. You want to use the name
argument. Both color
and name
have to be included. We have to define the name
argument's levels manually. We can set color
to factor as well but then we lose the color ramp. colors
let's us change the color palette using RColorBrewer
palettes.
plot_ly() %>%
add_markers(x = x.data,
y = y.data,
showlegend = F, # must hide legend here or it shows up twice
name = factor(z.data, levels = z.data, labels = z.data), # this is missing
color = z.data,
colors = "Set1",
error_x = list(array = x.err),
error_y = list(array = y.err))