问题描述
如何在连续渐变色条周围添加边框.默认情况下,ggplot拾取scale_fill_gradient
中指定的填充颜色.
How to add a border around the continuous gradient color bar. By default, ggplot picks up the fill color specified in the scale_fill_gradient
.
我发现最接近的答案是一个,但这并没有帮助我完成这项任务.
The closest answer, I found is this one, but it did not help me with this task.
我也用图例键尝试过此操作,但没有帮助我.
I also tried this with legend key, but did not help me.
legend.key = element_rect(colour = "black", size = 4)
请参见下面的当前和预期图表.
Please see the current and expected graphs below.
数据:
df1 <- structure(list(go = structure(c(17L, 16L, 15L, 14L, 13L, 12L,
11L, 10L, 9L, 8L, 7L, 6L, 5L, 4L, 3L, 2L, 1L, 17L, 16L, 15L,
14L, 13L, 12L, 11L, 10L, 9L, 8L, 7L, 6L, 5L, 4L, 3L, 2L, 1L,
17L, 16L, 15L, 14L, 13L, 12L, 11L, 10L, 9L, 8L, 7L, 6L, 5L, 4L,
3L, 2L, 1L, 17L, 16L, 15L, 14L, 13L, 12L, 11L, 10L, 9L, 8L, 7L,
6L, 5L, 4L, 3L, 2L, 1L),
.Label = c("q", "p", "o", "n", "m", "l", "k", "j", "i", "h", "g", "f", "e", "d", "c", "b", "a"),
class = c("ordered", "factor")),
variable = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L,
4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L),
class = "factor", .Label = c("a", "b", "c", "d")),
value = c(-0.626453810742332, 0.183643324222082, -0.835628612410047, 1.59528080213779, 0.329507771815361,
-0.820468384118015, 0.487429052428485, 0.738324705129217, 0.575781351653492,
-0.305388387156356, 1.51178116845085, 0.389843236411431, -0.621240580541804,
-2.2146998871775, 1.12493091814311, -0.0449336090152309, -0.0161902630989461,
0.943836210685299, 0.821221195098089, 0.593901321217509, 0.918977371608218,
0.782136300731067, 0.0745649833651906, -1.98935169586337, 0.61982574789471,
-0.0561287395290008, -0.155795506705329, -1.47075238389927, -0.47815005510862,
0.417941560199702, 1.35867955152904, -0.102787727342996, 0.387671611559369,
-0.0538050405829051, -1.37705955682861, -0.41499456329968, -0.394289953710349,
-0.0593133967111857, 1.10002537198388, 0.763175748457544, -0.164523596253587,
-0.253361680136508, 0.696963375404737, 0.556663198673657, -0.68875569454952,
-0.70749515696212, 0.36458196213683, 0.768532924515416, -0.112346212150228,
0.881107726454215, 0.398105880367068, -0.612026393250771, 0.341119691424425,
-1.12936309608079, 1.43302370170104, 1.98039989850586, -0.367221476466509,
-1.04413462631653, 0.569719627442413, -0.135054603880824, 2.40161776050478,
-0.0392400027331692, 0.689739362450777, 0.0280021587806661, -0.743273208882405,
0.188792299514343, -1.80495862889104, 1.46555486156289)),
.Names = c("go", "variable", "value"), row.names = c(NA, -68L), class = "data.frame")
代码:
library('ggplot2')
ggplot( data = df1, mapping = aes( x = variable, y = go ) ) + # draw heatmap
geom_tile( aes( fill = value ), colour = "white") +
scale_fill_gradient( low = "white", high = "black",
guide = guide_colorbar(label = TRUE,
draw.ulim = TRUE,
draw.llim = TRUE,
ticks = TRUE,
nbin = 10,
label.position = "bottom",
barwidth = 13,
barheight = 1.3,
direction = 'horizontal')) +
scale_y_discrete(position = "right") +
scale_x_discrete(position = "top") +
coord_flip() +
theme(axis.text.x = element_text(),
axis.title = element_blank(),
axis.ticks = element_blank(),
axis.line = element_blank(),
legend.position = 'bottom',
legend.title = element_blank(),
legend.key = element_rect(colour = "black", size = 4)
)
当前图形:
预期图表:
推荐答案
截至2018年5月2日,这已经可以在ggplot2的github版本中使用,并将成为ggplot2 2.3的一部分:
This is now possible in the github version of ggplot2, as of May 2, 2018, and will be part of ggplot2 2.3:
# devtools::install_github("tidyverse/ggplot2") # do this once, to install github version
library(ggplot2)
ggplot( data = df1, mapping = aes( x = variable, y = go ) ) + # draw heatmap
geom_tile( aes( fill = value ), colour = "white") +
scale_fill_gradient( low = "white", high = "black",
guide = guide_colorbar(label = TRUE,
draw.ulim = TRUE,
draw.llim = TRUE,
# here comes the code change:
frame.colour = "black",
ticks = TRUE,
nbin = 10,
label.position = "bottom",
barwidth = 13,
barheight = 1.3,
direction = 'horizontal')) +
scale_y_discrete(position = "right") +
scale_x_discrete(position = "top") +
coord_flip() +
theme(axis.text.x = element_text(),
axis.title = element_blank(),
axis.ticks = element_blank(),
axis.line = element_blank(),
legend.position = 'bottom',
legend.title = element_blank()
)
具体来说,以下参数已添加到guide_colorbar()
:
Specifically, the following arguments were added to guide_colorbar()
:
-
frame.colour
颜色栏周围框架的颜色.如果为NULL
,则不会绘制任何框架. -
frame.linewidth
框架的线宽. -
frame.linetype
框架的线型. -
ticks.colour
绘制的刻度线的颜色. -
ticks.linewidth
刻度线的宽度.
frame.colour
The color of the frame around the colorbar. IfNULL
, no frame is drawn.frame.linewidth
The line width of the frame.frame.linetype
The line type of the frame.ticks.colour
The color of the tick lines that are drawn.ticks.linewidth
The width of the tick lines.
这五个参数应允许最常用的样式.我认为,更复杂的样式(例如外面的刻度线)将需要对指南的主题进行一般性的重新思考.
These five arguments should allow for the most commonly requested stylings. More sophisticated stylings (such as tick lines outside) will require a general rethinking of how the guides are themed, in my opinion.
这篇关于在热图的图例连续渐变颜色栏周围绘制边框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!