# lims

##### Set scale limits

This is a shortcut for supplying the `limits`

argument to the individual
scales. By default, any values outside the limits specified are replaced with
`NA`

. Be warned that this will remove data outside the limits and this can
produce unintended results. For changing x or y axis limits **without**
dropping data observations, see `coord_cartesian()`

.

##### Usage

`lims(...)`xlim(...)

ylim(...)

##### Arguments

- ...
For

`xlim()`

and`ylim()`

: Two numeric values, specifying the left/lower limit and the right/upper limit of the scale. If the larger value is given first, the scale will be reversed. You can leave one value as`NA`

if you want to compute the corresponding limit from the range of the data.For

`lims()`

: A name--value pair. The name must be an aesthetic, and the value must be either a length-2 numeric, a character, a factor, or a date/time. A numeric value will create a continuous scale. If the larger value comes first, the scale will be reversed. You can leave one value as`NA`

if you want to compute the corresponding limit from the range of the data. A character or factor value will create a discrete scale. A date-time value will create a continuous date/time scale.

##### See Also

To expand the range of a plot to always include
certain values, see `expand_limits()`

. For other types of data, see
`scale_x_discrete()`

, `scale_x_continuous()`

, `scale_x_date()`

.

##### Examples

```
# NOT RUN {
# Zoom into a specified area
ggplot(mtcars, aes(mpg, wt)) +
geom_point() +
xlim(15, 20)
# reverse scale
ggplot(mtcars, aes(mpg, wt)) +
geom_point() +
xlim(20, 15)
# with automatic lower limit
ggplot(mtcars, aes(mpg, wt)) +
geom_point() +
xlim(NA, 20)
# 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.
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
# Setting the limits with the scale discards all data outside the range.
p + lims(x= c(Sys.Date() - 30, NA), y = c(10, 20))
# 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))
# }
```

*Documentation reproduced from package ggplot2, version 3.3.2, License: GPL-2 | file LICENSE*