绘图区域外部的ggplot2注解_滴答声 [英] ggplot2 annotation_ticks on the outside of the plot region
问题描述
我试图找到一种优雅的方法来在使用ggplot2
创建的绘图上插入小刻度线.我发现了一个几乎可以实现我想要的功能: https://rdrr.io/github/hrbrmstr/ggalt/src/R/annotation_ticks.r
I try to find an elegant way to insert minor ticks on plots created with ggplot2
. I found a function which does almost exactly what I want: https://rdrr.io/github/hrbrmstr/ggalt/src/R/annotation_ticks.r
只有一个缺点:刻度线(如annotation_logticks
中所示)绘制在绘图区域内.我需要它们在外面.
There is only one drawback: the ticks, like in annotation_logticks
, are drawn inside the plot region. I need them to be on the outside.
一个解决方案可能是对刻度长度使用负值.当我这样做时,刻度线消失了.我认为这是由于ggplot2
的默认剪裁操作所致,该操作会阻止在绘图区域(?)之外进行绘图(另请参见
A solution could be to use negative values for the tick-length. When I do so, the ticks disappear. I assume, that this is due to the default clipping action of ggplot2
, which supresses plotting outside the plot region (?) (see also log ticks on the outer side of axes (annotation_logticks), where the clipping is turned off which - unfortunately - leads to ticks exceeding the plot-range).
所以:是否有一个选项可以修改annotation_ticks
-函数以便在绘图区域的外部中产生刻度线,仅覆盖绘图的范围?理想情况下,应将此功能整合到annotate_ticks
-函数中(我不想保存然后重新布置图;我宁愿一步建立最终图).
So: is there an option to modify the annotation_ticks
- function in order to produce ticks outside of the plot region, only covering the range of the plot? Ideally, this functionality should by incorporated in the annotate_ticks
- function (I don't want to save and then re-arrange the plot; I'd rather build my final plot in one step).
推荐答案
我找到了一种令人满意的解决方案,用于适应annotation_ticks
函数.如果我们只是简单地从您发布的链接中复制粘贴代码,则可以在GeomTicks
ggproto对象的末尾附近进行以下小的调整:
I've found a sort of satisfactory solution to adapting the annotation_ticks
function. If we'd simply copy-paste the code from the link you've posted, we can make the following small adjustment near the end in the GeomTicks
ggproto object:
GeomTicks <- ggproto(
"GeomTicks", Geom,
# ...
# all the rest of the code
# ...
gTree(children = do.call("gList", ticks), cl = "ticktrimmer") # Change this line
},
default_aes = aes(colour = "black", size = 0.5, linetype = 1, alpha = 1)
)
然后,我们可以编写一个小函数,通过在网格包中劫持S3泛型makeContent
,简单地裁剪在绘图之前触发的刻度之外的刻度线:
Then we can write a small function that simply clips the ticks that are outside the range that gets triggered just before drawing by hijacking the S3 generic makeContent
in the grid package:
library(grid)
makeContent.ticktrimmer <- function(x) {
# Loop over segment grobs
x$children <- lapply(x$children, function(m) {
# convert positions to values
x0 <- convertX(m$x0, "npc", valueOnly = T)
x1 <- convertX(m$x1, "npc", valueOnly = T)
y0 <- convertY(m$y0, "npc", valueOnly = T)
y1 <- convertY(m$y1, "npc", valueOnly = T)
# check if values are outside 0-1
if (length(unique(x0)) == 1) {
keep <- y0 >= 0 & y0 <= 1 & y1 >= 0 & y1 <= 1
} else if (length(unique(y0)) == 1) {
keep <- x0 >= 0 & x0 <= 1 & x1 >= 0 & x1 <= 1
} else {
keep <- TRUE
}
# Trim the segments
m$x0 <- m$x0[keep]
m$y0 <- m$y0[keep]
m$x1 <- m$x1[keep]
m$y1 <- m$y1[keep]
m
})
x
}
现在我们可以绘制:
g <- ggplot(iris, aes(Sepal.Width, Sepal.Length)) +
geom_point(aes(colour = Species)) +
annotation_ticks(long = -1 * unit(0.3, "cm"),
mid = -1 * unit(0.2, "cm"),
short = -1 * unit(0.1, "cm")) +
coord_cartesian(clip = "off")
除了将左侧的第一个刻度打得有些怪异之外,这似乎还算合理.
Besides the first tick on the left being slightly weirdly placed, this seems to work reasonably.
这是一种代码的快速重构,可用于本机的次要休息时间,而不是从头计算次要休息时间.用户功能:
Here is a quick refactoring of the code to work with the native minor breaks instead of calculating minor breaks de novo. The user function:
annotation_ticks <- function(sides = "b",
scale = "identity",
scaled = TRUE,
ticklength = unit(0.1, "cm"),
colour = "black",
size = 0.5,
linetype = 1,
alpha = 1,
color = NULL,
ticks_per_base = NULL,
...) {
if (!is.null(color)) {
colour <- color
}
# check for invalid side
if (grepl("[^btlr]", sides)) {
stop(gsub("[btlr]", "", sides), " is not a valid side: b,t,l,r are valid")
}
# split sides to character vector
sides <- strsplit(sides, "")[[1]]
if (length(sides) != length(scale)) {
if (length(scale) == 1) {
scale <- rep(scale, length(sides))
} else {
stop("Number of scales does not match the number of sides")
}
}
base <- sapply(scale, function(x) switch(x, "identity" = 10, "log10" = 10, "log" = exp(1)), USE.NAMES = FALSE)
if (missing(ticks_per_base)) {
ticks_per_base <- base - 1
} else {
if ((length(sides) != length(ticks_per_base))) {
if (length(ticks_per_base) == 1) {
ticks_per_base <- rep(ticks_per_base, length(sides))
} else {
stop("Number of ticks_per_base does not match the number of sides")
}
}
}
delog <- scale %in% "identity"
layer(
data = data.frame(x = NA),
mapping = NULL,
stat = StatIdentity,
geom = GeomTicks,
position = PositionIdentity,
show.legend = FALSE,
inherit.aes = FALSE,
params = list(
base = base,
sides = sides,
scaled = scaled,
ticklength = ticklength,
colour = colour,
size = size,
linetype = linetype,
alpha = alpha,
ticks_per_base = ticks_per_base,
delog = delog,
...
)
)
}
ggproto对象:
The ggproto object:
GeomTicks <- ggproto(
"GeomTicks", Geom,
extra_params = "",
handle_na = function(data, params) {
data
},
draw_panel = function(data,
panel_scales,
coord,
base = c(10, 10),
sides = c("b", "l"),
scaled = TRUE,
ticklength = unit(0.1, "cm"),
ticks_per_base = base - 1,
delog = c(x = TRUE, y = TRUE)) {
ticks <- list()
for (s in 1:length(sides)) {
if (grepl("[b|t]", sides[s])) {
xticks <- panel_scales$x.minor
# Make the grobs
if (grepl("b", sides[s])) {
ticks$x_b <- with(
data,
segmentsGrob(
x0 = unit(xticks, "npc"),
x1 = unit(xticks, "npc"),
y0 = unit(0, "npc"),
y1 = ticklength,
gp = gpar(
col = alpha(colour, alpha),
lty = linetype,
lwd = size * .pt
)
)
)
}
if (grepl("t", sides[s])) {
ticks$x_t <- with(
data,
segmentsGrob(
x0 = unit(xticks, "npc"),
x1 = unit(xticks, "npc"),
y0 = unit(1, "npc"),
y1 = unit(1, "npc") - ticklength,
gp = gpar(
col = alpha(colour, alpha),
lty = linetype,
lwd = size * .pt
)
)
)
}
}
if (grepl("[l|r]", sides[s])) {
yticks <- panel_scales$y.minor
# Make the grobs
if (grepl("l", sides[s])) {
ticks$y_l <- with(
data,
segmentsGrob(
y0 = unit(yticks, "npc"),
y1 = unit(yticks, "npc"),
x0 = unit(0, "npc"),
x1 = ticklength,
gp = gpar(
col = alpha(colour, alpha),
lty = linetype, lwd = size * .pt
)
)
)
}
if (grepl("r", sides[s])) {
ticks$y_r <- with(
data,
segmentsGrob(
y0 = unit(yticks, "npc"),
y1 = unit(yticks, "npc"),
x0 = unit(1, "npc"),
x1 = unit(1, "npc") - ticklength,
gp = gpar(
col = alpha(colour, alpha),
lty = linetype,
lwd = size * .pt
)
)
)
}
}
}
gTree(children = do.call("gList", ticks))
},
default_aes = aes(colour = "black", size = 0.5, linetype = 1, alpha = 1)
)
绘图:
ggplot(iris, aes(Sepal.Width, Sepal.Length)) +
geom_point(aes(colour = Species)) +
annotation_ticks(ticklength = -1 * unit(0.1, "cm"),
side = "b") +
coord_cartesian(clip = "off")
这篇关于绘图区域外部的ggplot2注解_滴答声的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋!