marcopah marcopah - 25 days ago 13x
R Question

Same color assigned to same level of factor in R plotly

I have a Shiny app with several plotly visualisations. The user is allowed to choose several products and I would like each product to have the same unique color throughout the entire app. One of my visualisations could e.g. look like this:

plot_ly(df, x = variable, y=value, type = "bar", color = Product, hoverinfo = "text",
colors = colpal, text = paste0(df$value,"%")) %>%
layout(xaxis=ax, yaxis=yx, legend=list(x=1, y = 0.5))

Is it possible to make sure that the first level of Product ALWAYS get the first value of colpal?

In ggplot I think this can be achieved by specifying the color pallette like this:

c("Product A" = "#00AADC", "Product B" = "#843532","Product C" = "#2C5481", "Product D" = "#CADFE1")

But this doesnt seem to work in plotly.

Any help would be greatly appreciated.

EDIT: Sample dataset

Product variable value
1 Product A DDD 24
2 Product B DDD 22
3 Product C DDD 35
4 Product D DDD 19
5 Product A Brand attention 29
6 Product B Brand attention 27
7 Product C Brand attention 27
8 Product D Brand attention 18

So I would like e.g. Product A to take on the same color everytime.

mal mal

You can make a colour palette with plotly as well, but it's not overly elegant, at least the way I've done it in the past. Should get you started though. Here's an example:


# Create a colour map
# Note that using factors will mess this up
mapColours <- data.frame(x = c('Graham', 'Eric', 'Terry', 'John'), 
                 colours = c('green', 'blue', 'red', 'orange'), 
                 stringsAsFactors = FALSE)

# The full data to plot
df <- data.frame(x = mapColours$x,
                 y = c(7, 9, 5, 8), 
                 stringsAsFactors = FALSE)

# Plot all categories
plot_ly(df, x = x, y = y, type = 'bar', color = x, colors = mapColours$colours)

# Now subset the data
dfSub <- subset(df, subset = x %in% c('Eric', 'John'))
dfSub <- droplevels(dfSub)

# Won't work as is, uses the wrong colours
plot_ly(dfSub, x = x, y = y, type = 'bar', color = x, colors = mapColours$colours)

# Need to get new colour map
mapColoursSub <- mapColours[match(dfSub$x, mapColours$x), 'colours']

# Use the subsetted colour map
plot_ly(dfSub, x = x, y = y, type = 'bar', color = x, colors = mapColoursSub)

The basic idea is to match any new data set on the original colour map and use this new colour map instead.

Note that have factor variables can mess this up due to the ordering that plotly uses (which I can't decipher sometimes).

Key session info:

R version 3.2.3 (2015-12-10)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows >= 8 x64 (build 9200)


other attached packages:
[1] plotly_3.4.3  ggplot2_2.1.0


EDIT: This example uses plotly 3.x.x. If you use plotly 4.x.x or above, this code may not work as is. See here for more details: