ggpath is a ‘ggplot2’ extension that enables robust image grobs in panels and theme elements. This means it helps plotting images (from local paths, from urls or from raw image data) in nearly every part of a ggplot.
The easiest way to get ggpath is to install it from CRAN with:
install.packages("ggpath")
To get a bug fix or to use a feature from the development version, you can install the development version of ggpath from GitHub, for example with:
if (!require("pak")) install.packages("pak")
::pak("mrcaseb/ggpath") pak
The two main features to provide images in a ggplot are a geom (geom_from_path) and a theme element (element_path). Both replace image urls, local image paths, or raw image data with the actual image. And to improve performance, the images are cached locally.
The below examples use local image files that are shipped with the package. Let’s locate the images first.
<- system.file("r_logo.png", package = "ggpath") local_image_path
Now, we can make a simple plot, where we use the image like a point by replacing the local path with the actual image.
library(ggplot2)
library(ggpath)
<- data.frame(x = c(-1, 1), y = 1, path = local_image_path)
plot_data ggplot(plot_data, aes(x = x, y = y)) +
geom_from_path(aes(path = path), width = 0.2) +
coord_cartesian(xlim = c(-2, 2)) +
theme_minimal()
We can build on top of that by adding new axis labels, axis titles,
plot title and subtitle, or a caption and using the ggpath theme
element. Note the usage of transparency with the alpha
argument, the justification with the
hjust
/vjust
arguments, or the rotation with
the angle
argument.
ggplot(plot_data, aes(x = x, y = local_image_path)) +
geom_from_path(aes(path = path), width = 0.2, alpha = 0.2) +
coord_cartesian(xlim = c(-2, 2)) +
theme_minimal() +
labs(
title = local_image_path,
subtitle = local_image_path,
x = local_image_path,
y = local_image_path,
caption = local_image_path
+
) theme(
plot.caption = element_path(hjust = 1, size = 0.6),
axis.text.y = element_path(size = 1),
axis.title.x = element_path(),
axis.title.y = element_path(vjust = 0.9),
plot.title = element_path(hjust = 0, size = 2, alpha = 0.5),
plot.subtitle = element_path(hjust = 0.9, angle = 45),
)
The option "ggpath.cache"
can be used to configure the
package cache. It can be set with
options(ggpath.cache = "memory")
# or
options(ggpath.cache = "filesystem")
# or
options(ggpath.cache = "off")
The default - "memory"
- caches in the current session,
while "filesystem"
caches on disk which means that the
cache is available after starting a fresh session. All cache options
time out after 24 hours.
There are various ggplot2 extensions that provide similar functionality in terms of plotting images. These include but not limited to
ggpath combines the strengths of all of the above by providing
geom_from_path
)
and all other plot areas (with element_path
),There are some downsides compared to the above mentioned packages, e.g.
element_markdown
,