I want to make a heatmap in ggplot2. My toy data and code is:
set.seed(12345) dat <- data.frame( Row = rep(x = LETTERS[1:5], times = 10) , Col = rep(x = LETTERS[1:10], each = 5) , Y = rnorm(n = 50, mean = 0, sd = 1) ) library(ggplot2) p <- ggplot(data = dat, aes(x = Row, y = Col)) + geom_tile(aes(fill = Y), colour = "white") + scale_fill_gradient(low = "white", high = "steelblue") p
I want to have color scheme for ranged values like this:
-3 <= Y < -2 ---> Dark Blue -2 <= Y < -1 ---> Blue -1 <= Y < 0 ---> Light Blue 0 <= Y < 1 ---> Light Green 1 <= Y < 2 ---> Green 2 <= Y <= 3 ---> Dark Green
To add colors to such heatmap in ranges, use scale_fill_manual() with a vector of the colors for each range. Example: R.
To specify colors of the bar in Barplot in ggplot2, we use the scale_fill_manual function of the ggplot2 package. Within this function, we need to specify a color for each of the bars as a vector. We can use colors using names as well as hex codes.
You can change the color of the seaborn heatmap by using the color map using the cmap attribute of the heatmap.
What do the colors on a heatmap show? Heatmaps pictorially or graphically represent the measured value of numerical data using a chosen color scheme, with one end of the color scheme representing the high-value data points and the other end representing the low-value data points of one or more data sets.
It's not clear if you want discrete colors or if the colors you list are just markers along the range of Y
. I'll show both.
For discrete colors, use Y1
as joran defines it
dat$Y1 <- cut(dat$Y,breaks = c(-Inf,-3:3,Inf),right = FALSE)
Then you can get a plot with the specific colors you list using a manual scale
p <- ggplot(data = dat, aes(x = Row, y = Col)) + geom_tile(aes(fill = Y1)) + scale_fill_manual(breaks=c("\[-Inf,-3)", "\[-3,-2)", "\[-2,-1)", "\[-1,0)", "\[0,1)", "\[1,2)", "\[2,3)", "\[3, Inf)"), values = c("white", "darkblue", "blue", "lightblue", "lightgreen", "green", "darkgreen", "white")) p
I didn't know what you wanted for colours beyond -3 and 3, so I used white.
If you wanted a continuous color, going from blue on the negative through white at 0 to green on the positive, scale_fill_gradient2
would work.
ggplot(data = dat, aes(x = Row, y = Col)) + geom_tile(aes(fill = Y)) + scale_fill_gradient2(low="darkblue", high="darkgreen", guide="colorbar")
If you want fine detail control of color, such that the mapping is "darkblue" at 3, "blue" at 2, "lightblue" at 1, "white" at 0, etc., then scale_fill_gradientn
will work for you:
library("scales") ggplot(data = dat, aes(x = Row, y = Col)) + geom_tile(aes(fill = Y)) + scale_fill_gradientn(colours=c("darkblue", "blue", "lightblue", "white", "lightgreen", "green", "darkgreen"), values=rescale(c(-3, -2, -1, 0, 1, 2, 3)), guide="colorbar")
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With