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By default, ggplot2 produces plots with a grey background. How do I change the color of the background of the plot?

For example, a plot produced by the following code:

library(ggplot2)
myplot<-ggplot(data=data.frame(a=c(1,2,3), b=c(2,3,4)), aes(x=a, y=b)) + geom_line()
myplot
Jack Edmonds
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3 Answers3

163

To change the panel's background color, use the following code:

myplot + theme(panel.background = element_rect(fill = 'green', colour = 'red'))

To change the color of the plot (but not the color of the panel), you can do:

myplot + theme(plot.background = element_rect(fill = 'green', colour = 'red'))

See here for more theme details Quick reference sheet for legends, axes and themes.

PatrickT
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Jack Edmonds
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    There also is the `theme_bw`, giving you a white background and grey gridlines. I use it all the time, as in print it looks much better than the default grey background: `myplot + theme_bw()` – ROLO Dec 16 '11 at 09:11
  • @ROLO: Nice! Is there a way to apply this to all plots by default? – krlmlr Jul 02 '12 at 11:05
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    Put this at the beginning of your script for default B&W ggplots: `ggplot <- function(...) { ggplot2::ggplot(...) + theme_bw() }` – ROLO Jul 19 '12 at 09:50
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    @ROLO that deserves it's own answer, especially because Jack's answer doesn't change the colour of the grid lines. – naught101 Nov 20 '12 at 04:40
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    Note that `opts` and `theme_rect` are deprecated in the newer versions of ggplot2. (0.9.3). So the newer version of the second command would become: `myplot + theme(plot.background = element_rect(fill='green', colour='red'))` – Ram Narasimhan Dec 21 '12 at 19:23
58

To avoid deprecated opts and theme_rect use:

myplot + theme(panel.background = element_rect(fill='green', colour='red'))

To define your own custom theme, based on theme_gray but with some of your changes and a few added extras including control of gridline colour/size (more options available to play with at ggplot2.org):

theme_jack <- function (base_size = 12, base_family = "") {
    theme_gray(base_size = base_size, base_family = base_family) %+replace% 
        theme(
            axis.text = element_text(colour = "white"),
            axis.title.x = element_text(colour = "pink", size=rel(3)),
            axis.title.y = element_text(colour = "blue", angle=45),
            panel.background = element_rect(fill="green"),
            panel.grid.minor.y = element_line(size=3),
            panel.grid.major = element_line(colour = "orange"),
            plot.background = element_rect(fill="red")
    )   
}

To make your custom theme the default when ggplot is called in future, without masking:

theme_set(theme_jack())

If you want to change an element of the currently set theme:

theme_update(plot.background = element_rect(fill="pink"), axis.title.x = element_text(colour = "red"))

To store the current default theme as an object:

theme_pink <- theme_get()

Note that theme_pink is a list whereas theme_jack was a function. So to return the theme to theme_jack use theme_set(theme_jack()) whereas to return to theme_pink use theme_set(theme_pink).

You can replace theme_gray by theme_bw in the definition of theme_jack if you prefer. For your custom theme to resemble theme_bw but with all gridlines (x, y, major and minor) turned off:

theme_nogrid <- function (base_size = 12, base_family = "") {
    theme_bw(base_size = base_size, base_family = base_family) %+replace% 
        theme(
            panel.grid = element_blank()
    )   
}

Finally a more radical theme useful when plotting choropleths or other maps in ggplot, based on discussion here but updated to avoid deprecation. The aim here is to remove the gray background, and any other features that might distract from the map.

theme_map <- function (base_size = 12, base_family = "") {
    theme_gray(base_size = base_size, base_family = base_family) %+replace% 
        theme(
            axis.line=element_blank(),
            axis.text.x=element_blank(),
            axis.text.y=element_blank(),
            axis.ticks=element_blank(),
            axis.ticks.length=unit(0.3, "lines"),
            axis.ticks.margin=unit(0.5, "lines"),
            axis.title.x=element_blank(),
            axis.title.y=element_blank(),
            legend.background=element_rect(fill="white", colour=NA),
            legend.key=element_rect(colour="white"),
            legend.key.size=unit(1.2, "lines"),
            legend.position="right",
            legend.text=element_text(size=rel(0.8)),
            legend.title=element_text(size=rel(0.8), face="bold", hjust=0),
            panel.background=element_blank(),
            panel.border=element_blank(),
            panel.grid.major=element_blank(),
            panel.grid.minor=element_blank(),
            panel.margin=unit(0, "lines"),
            plot.background=element_blank(),
            plot.margin=unit(c(1, 1, 0.5, 0.5), "lines"),
            plot.title=element_text(size=rel(1.2)),
            strip.background=element_rect(fill="grey90", colour="grey50"),
            strip.text.x=element_text(size=rel(0.8)),
            strip.text.y=element_text(size=rel(0.8), angle=-90) 
        )   
}
Silverfish
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    This is very helpful, thanks. FYI, I have found the argument `plot.background` must be passed to `theme`. The other arguments are optional. – Racing Tadpole Feb 25 '14 at 01:00
0

Here's a custom theme to make the ggplot2 background white and a bunch of other changes that's good for publications and posters. Just tack on +mytheme. If you want to add or change options by +theme after +mytheme, it will just replace those options from +mytheme.

library(ggplot2)
library(cowplot)
theme_set(theme_cowplot())

mytheme = list(
    theme_classic()+
        theme(panel.background = element_blank(),strip.background = element_rect(colour=NA, fill=NA),panel.border = element_rect(fill = NA, color = "black"),
              legend.title = element_blank(),legend.position="bottom", strip.text = element_text(face="bold", size=9),
              axis.text=element_text(face="bold"),axis.title = element_text(face="bold"),plot.title = element_text(face = "bold", hjust = 0.5,size=13))
)

ggplot(data=data.frame(a=c(1,2,3), b=c(2,3,4)), aes(x=a, y=b)) + mytheme + geom_line()

custom ggplot theme

Isaac Zhao
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