R ggplot2 lims 设置规模限制

这是向各个比例提供 limits 参数的快捷方式。默认情况下，任何超出指定限制的值都将替换为 NA 。请注意，这将删除超出限制的数据，并可能产生意想不到的结果。要在不删除数据观测的情况下更改 x 或 y 轴限制，请参阅 coord_cartesian() 。

用法

lims(...)

xlim(...)

ylim(...)

参数

...

对于xlim() 和ylim() ：两个数值，指定刻度的左/下限和右/上限。如果先给出较大的值，则比例将相反。如果您想从数据范围计算相应的限制，可以将一个值保留为NA。

对于 lims() ：名称-值对。名称必须美观，值必须是长度为 2 的数字、字符、因子或日期/时间。数值将创建连续的比例。如果较大的值先出现，则比例将反转。如果您想根据数据范围计算相应的限制，可以将一个值保留为NA。字符或因子值将创建离散比例。日期时间值将创建连续的日期/时间刻度。

也可以看看

要扩展绘图范围以始终包含某些值，请参阅 expand_limits() 。对于其他类型的数据，请参阅 scale_x_discrete() 、 scale_x_continuous() 、 scale_x_date() 。

例子

# Zoom into a specified area
ggplot(mtcars, aes(mpg, wt)) +
  geom_point() +
  xlim(15, 20)
#> Warning: Removed 19 rows containing missing values (`geom_point()`).


# reverse scale
ggplot(mtcars, aes(mpg, wt)) +
  geom_point() +
  xlim(20, 15)
#> Warning: Removed 19 rows containing missing values (`geom_point()`).


# with automatic lower limit
ggplot(mtcars, aes(mpg, wt)) +
  geom_point() +
  xlim(NA, 20)
#> Warning: Removed 14 rows containing missing values (`geom_point()`).


# You can also supply limits that are larger than the data.
# This is useful if you want to match scales across different plots
small <- subset(mtcars, cyl == 4)
big <- subset(mtcars, cyl > 4)

ggplot(small, aes(mpg, wt, colour = factor(cyl))) +
  geom_point() +
  lims(colour = c("4", "6", "8"))


ggplot(big, aes(mpg, wt, colour = factor(cyl))) +
  geom_point() +
  lims(colour = c("4", "6", "8"))


# There are two ways of setting the axis limits: with limits or
# with coordinate systems. They work in two rather different ways.

set.seed(1)
last_month <- Sys.Date() - 0:59
df <- data.frame(
  date = last_month,
  price = c(rnorm(30, mean = 15), runif(30) + 0.2 * (1:30))
)

p <- ggplot(df, aes(date, price)) +
  geom_line() +
  stat_smooth()

p
#> `geom_smooth()` using method = 'loess' and formula = 'y ~ x'


# Setting the limits with the scale discards all data outside the range.
p + lims(x= c(Sys.Date() - 30, NA), y = c(10, 20))
#> `geom_smooth()` using method = 'loess' and formula = 'y ~ x'
#> Warning: Removed 30 rows containing non-finite values (`stat_smooth()`).
#> Warning: Removed 30 rows containing missing values (`geom_line()`).


# For changing x or y axis limits **without** dropping data
# observations use [coord_cartesian()]. Setting the limits on the
# coordinate system performs a visual zoom.
p + coord_cartesian(xlim =c(Sys.Date() - 30, NA), ylim = c(10, 20))
#> `geom_smooth()` using method = 'loess' and formula = 'y ~ x'

源代码：R/limits.R

相关用法

注：本文由纯净天空筛选整理自Hadley Wickham等大神的英文原创作品 Set scale limits。非经特殊声明，原始代码版权归原作者所有，本译文未经允许或授权，请勿转载或复制。