Remove ggplot2 default padding

ggplot2 pads both continuous and discrete axes with a little expansion, which can make a taichi grid look like it is floating. `remove_padding()` trims that space. Called with no arguments it inspects the plot it is added to and figures out for itself whether each axis is continuous or discrete; pass `"c"` (continuous) or `"d"` (discrete) explicitly to override the detection, e.g. when the axis mapping is a computed expression the plot data cannot answer for.

Usage

remove_padding(x = NULL, y = NULL, ...)

Arguments

x, y

`NULL` (the default) to auto-detect the scale type of that axis from the plot's data and mapping, `"c"` for a continuous axis, or `"d"` for a discrete one.

...

Additional arguments passed on to the underlying [ggplot2::scale_x_continuous()] / [ggplot2::scale_x_discrete()] (and y) calls.

Value

An object that, added to a ggplot, replaces both position scales with padding-free ones.

Examples

library(ggplot2)
d <- data.frame(x = 1:3, y = c("a", "b", "c"), yin = 1:3, yang = 3:1)

# auto-detects x as continuous and y as discrete
ggplot(d, aes(x, y)) +
  geom_taichi(yin = yin, yang = yang) +
  remove_padding()


# explicit override, identical result here
ggplot(d, aes(x, y)) +
  geom_taichi(yin = yin, yang = yang) +
  remove_padding(x = "c", y = "d")