ggplot2中离散y轴的倒序
Reverse order of discrete y axis in ggplot2
情况与数据
我有一个比赛中运动员位置的数据框 df
:
df <- structure(list(athlete = c("A", "B", "C", "D", "E", "F", "G",
"H", "I", "J", "A", "B", "C", "D", "E", "F", "G", "H", "I", "J",
"A", "B", "C", "D", "E", "F", "G", "H", "I", "J", "A", "B", "C",
"D", "E", "F", "G", "H", "I", "J", "A", "B", "C", "D", "E", "F",
"G", "H", "I", "J", "A", "B", "C", "D", "E", "F", "G", "H", "I",
"J"), distanceRemaining = structure(c(1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L,
4L, 4L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L,
6L, 6L, 6L, 6L, 6L, 6L), .Label = c("1400m", "1200m", "600m",
"400m", "200m", "FINISH"), class = "factor"), position = c(10,
6, 7, 8, 2, 1, 3, 5, 9, 4, 9, 8, 7, 6, 4, 3, 1, 5, 10, 2, 8,
7, 9, 5, 6, 2, 3, 1, 10, 4, 9, 8, 6, 5, 7, 3, 2, 4, 10, 1, 4,
5, 1, 6, 8, 3, 2, 7, 10, 9, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10)), row.names = c(NA,
-60L), .Names = c("athlete", "distanceRemaining", "position"), class = "data.frame")
我正在用
绘制数据
library(ggplot2)
g <- ggplot(df, aes(x=distanceRemaining, y =position, colour=athlete, group = athlete))
g <- g + geom_point()
g <- g + geom_line(size=1.15)
g <- g + scale_y_discrete()
g
给予
问题
如何反转 y 轴的顺序,使 10 在底部,1 在顶部?
尝试以下操作:
g <- ggplot(df, aes(x=distanceRemaining, y =position, colour=athlete, group = athlete))
g <- g + geom_point()
g <- g + geom_line(size=1.15)
g <- g + scale_y_continuous(trans = "reverse", breaks = unique(df$position))
g
你只需要将位置变量变成一个因子,然后反转它的水平:
require(dplyr)
df <- df %>% mutate(position = factor(position),
position = factor(position, levels = rev(levels(position)))
然后用你的代码你会得到:
对于离散轴,使用 reorder() 对我有用。在上述问题的上下文中,它看起来像这样:
ggplot(df, aes(x = distanceRemaining, y = reorder(position, desc(position))))
希望对您有所帮助。
根据https://gist.github.com/jennybc/6f3fa527b915b920fdd5:
添加scale_y_discrete(limits = rev(levels(theFactor)))
到你的 ggplot 命令。
另一个使用 forcats
包的选项。
ggplot(df, aes(x = distanceRemaining, y = forcats::fct_rev(factor(position))))
这样做的好处是可以将所有内容都保留在 ggplot
调用中,并且可以与 coord_flip
和 facets_wrap(..., scales = "free")
等其他选项配合使用
有new解,scale_*_discrete(limits=rev)
,例子:
tibble(x=1:26,y=letters) %>%
ggplot(aes(x,y)) +
geom_point() +
scale_y_discrete(limits=rev)
情况与数据
我有一个比赛中运动员位置的数据框 df
:
df <- structure(list(athlete = c("A", "B", "C", "D", "E", "F", "G",
"H", "I", "J", "A", "B", "C", "D", "E", "F", "G", "H", "I", "J",
"A", "B", "C", "D", "E", "F", "G", "H", "I", "J", "A", "B", "C",
"D", "E", "F", "G", "H", "I", "J", "A", "B", "C", "D", "E", "F",
"G", "H", "I", "J", "A", "B", "C", "D", "E", "F", "G", "H", "I",
"J"), distanceRemaining = structure(c(1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L,
4L, 4L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L,
6L, 6L, 6L, 6L, 6L, 6L), .Label = c("1400m", "1200m", "600m",
"400m", "200m", "FINISH"), class = "factor"), position = c(10,
6, 7, 8, 2, 1, 3, 5, 9, 4, 9, 8, 7, 6, 4, 3, 1, 5, 10, 2, 8,
7, 9, 5, 6, 2, 3, 1, 10, 4, 9, 8, 6, 5, 7, 3, 2, 4, 10, 1, 4,
5, 1, 6, 8, 3, 2, 7, 10, 9, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10)), row.names = c(NA,
-60L), .Names = c("athlete", "distanceRemaining", "position"), class = "data.frame")
我正在用
绘制数据library(ggplot2)
g <- ggplot(df, aes(x=distanceRemaining, y =position, colour=athlete, group = athlete))
g <- g + geom_point()
g <- g + geom_line(size=1.15)
g <- g + scale_y_discrete()
g
给予
问题
如何反转 y 轴的顺序,使 10 在底部,1 在顶部?
尝试以下操作:
g <- ggplot(df, aes(x=distanceRemaining, y =position, colour=athlete, group = athlete))
g <- g + geom_point()
g <- g + geom_line(size=1.15)
g <- g + scale_y_continuous(trans = "reverse", breaks = unique(df$position))
g
你只需要将位置变量变成一个因子,然后反转它的水平:
require(dplyr)
df <- df %>% mutate(position = factor(position),
position = factor(position, levels = rev(levels(position)))
然后用你的代码你会得到:
对于离散轴,使用 reorder() 对我有用。在上述问题的上下文中,它看起来像这样:
ggplot(df, aes(x = distanceRemaining, y = reorder(position, desc(position))))
希望对您有所帮助。
根据https://gist.github.com/jennybc/6f3fa527b915b920fdd5:
添加scale_y_discrete(limits = rev(levels(theFactor)))
到你的 ggplot 命令。
另一个使用 forcats
包的选项。
ggplot(df, aes(x = distanceRemaining, y = forcats::fct_rev(factor(position))))
这样做的好处是可以将所有内容都保留在 ggplot
调用中,并且可以与 coord_flip
和 facets_wrap(..., scales = "free")
有new解,scale_*_discrete(limits=rev)
,例子:
tibble(x=1:26,y=letters) %>%
ggplot(aes(x,y)) +
geom_point() +
scale_y_discrete(limits=rev)