Label minimum and maximum of scale fill gradient legend with text: ggplot2
For scale_fill_gradientn()
you should provide both arguments: breaks=
and labels=
with the same length. With argument limits=
you extend colorbar to minimum and maximum value you need.
ggplot(df, aes(x, y, fill = z)) + geom_raster() +
scale_fill_gradientn(colours=topo.colors(7),na.value = "transparent",
breaks=c(0,0.5,1),labels=c("Minimum",0.5,"Maximum"),
limits=c(0,1))
User Didzis Elfert's answer slightly lacks "automatism" in my opinion (but it is of course pointing to the core of the problem +1 :). Here an option to programatically define minimum and maximum of your data.
Advantages:
- You will not need to hard code values any more (which is error prone)
- You will not need hard code the limits (which also is error prone)
- Passing a named vector: You don't need the labels argument (manually map labels to values is also error-prone).
- As a side effect you will avoid the "non-matching labels/breaks" problem
library(ggplot2)
foo <- expand.grid(x = 0:5, y = 0:5)
foo$z <- runif(nrow(foo))
myfuns <- list(Minimum = min, Mean = mean, Maximum = max)
ls_val <- unlist(lapply(myfuns, function(f) f(foo$z)))
# you only need to set the breaks argument!
ggplot(foo, aes(x, y, fill = z)) +
geom_raster() +
scale_fill_gradientn(
colours = topo.colors(7),
breaks = ls_val
)
# You can obviously also replace the middle value with sth else
ls_val[2] <- 0.5
names(ls_val)[2] <- 0.5
ggplot(foo, aes(x, y, fill = z)) +
geom_raster() +
scale_fill_gradientn(
colours = topo.colors(7),
breaks = ls_val
)