library(pillar)
How to customize the printed output of a "tbl"
subclass? This vignette shows the various customization options. Customizing the formatting of a vector class in a tibble is described in vignette("pillar", package = "vctrs")
. An overview over the control and data flow is given in vignette("printing")
.
This vignette assumes that the reader is familiar with S3 classes, methods, and inheritance. The “S3” chapter of Hadley Wickham’s “Advanced R” is a good start.
To make use of pillar’s printing capabilities, create a class that inherits from "tbl"
, like tibble (classes "tbl_df"
and "tbl"
), dbplyr lazy tables ("tbl_lazy"
and "tbl"
) and sf spatial data frames ("sf"
, "tbl_df"
and "tbl"
). Because we are presenting various customization options, we create a constructor for an example data frame with arbitrary subclass.
<- function(class) {
example_tbl ::new_data_frame(
vctrslist(
a = letters[1:3],
b = data.frame(c = 1:3, d = 4:6 + 0.5)
),class = c(class, "tbl")
) }
The "custom"
class doesn’t have any customizations yet, and prints like a regular tibble.
example_tbl("custom")
#> # A data frame: 3 × 2
#> a b$c $d
#> <chr> <int> <dbl>
#> 1 a 1 4.5
#> 2 b 2 5.5
#> 3 c 3 6.5
The easiest customization consists of tweaking the header. Implement a tbl_sum()
method to extend or replace the information shown in the header, keeping the original formatting.
<- function(x, ...) {
tbl_sum.default_header_extend <- NextMethod()
default_header c(default_header, "New" = "A new header")
}
example_tbl("default_header_extend")
#> # A data frame: 3 × 2
#> # New: A new header
#> a b$c $d
#> <chr> <int> <dbl>
#> 1 a 1 4.5
#> 2 b 2 5.5
#> 3 c 3 6.5
<- function(x, ...) {
tbl_sum.default_header_replace c("Override" = "Replace all headers")
}
example_tbl("default_header_replace")
#> # Override: Replace all headers
#> a b$c $d
#> <chr> <int> <dbl>
#> 1 a 1 4.5
#> 2 b 2 5.5
#> 3 c 3 6.5
To style the header in a different way, implement a tbl_format_header()
method. The implementation is responsible for the entire formatting and styling, including the leading hash.
<- function(x, setup, ...) {
tbl_format_header.custom_header_replace ::italic(paste0(names(setup$tbl_sum), " = ", setup$tbl_sum))
crayon
}
example_tbl("custom_header_replace")
#> A data frame = 3 × 2
#> a b$c $d
#> <chr> <int> <dbl>
#> 1 a 1 4.5
#> 2 b 2 5.5
#> 3 c 3 6.5
Pillars consist of components, see ?new_pillar_component
for details. Extend or override the ctl_new_pillar()
method to alter the appearance. The example below adds table rules of constant width to the output.
<- function(controller, x, width, ..., title = NULL) {
ctl_new_pillar.pillar_rule <- NextMethod()
out new_pillar(list(
top_rule = new_pillar_component(list("========"), width = 8),
title = out$title,
type = out$type,
mid_rule = new_pillar_component(list("--------"), width = 8),
data = out$data,
bottom_rule = new_pillar_component(list("========"), width = 8)
))
}
example_tbl("pillar_rule")
#> # A data frame: 3 × 2
#> ======== ======== ========
#> a b$c $d
#> <chr> <int> <dbl>
#> -------- -------- --------
#> 1 a 1 4.5
#> 2 b 2 5.5
#> 3 c 3 6.5
#> ======== ======== ========
To make the width adaptive, we implement a "rule"
class with a format()
method that formats rules to prespecified widths.
<- function(char = "-") {
rule stopifnot(nchar(char) == 1)
structure(char, class = "rule")
}
<- function(x, width, ...) {
format.rule paste(rep(x, width), collapse = "")
}
<- function(controller, x, width, ..., title = NULL) {
ctl_new_pillar.pillar_rule_adaptive <- NextMethod()
out if (is.null(out)) {
return(NULL)
}
new_pillar(list(
top_rule = new_pillar_component(list(rule("=")), width = 1),
title = out$title,
type = out$type,
mid_rule = new_pillar_component(list(rule("-")), width = 1),
data = out$data,
bottom_rule = new_pillar_component(list(rule("=")), width = 1)
))
}
example_tbl("pillar_rule_adaptive")
#> # A data frame: 3 × 2
#> ===== ===== =====
#> a b$c $d
#> <chr> <int> <dbl>
#> ----- ----- -----
#> 1 a 1 4.5
#> 2 b 2 5.5
#> 3 c 3 6.5
#> ===== ===== =====
Compound pillars are created by ctl_new_compound_pillar()
for columns that contain a data frame, a matrix or an array. The default implementation also calls ctl_new_pillar()
shown above. The example
<- function(controller, x, width, ..., title = NULL) {
ctl_new_compound_pillar.hide_df if (!is.data.frame(x)) {
return(NextMethod())
}
if (width < 8) {
return(NULL)
}
new_pillar(
list(
title = pillar_component(new_pillar_title(title)),
type = new_pillar_component(list("<hidden>"), width = 8),
data = new_pillar_component(list(""), width = 1)
),width = 8
)
}
example_tbl("hide_df")
#> # A data frame: 3 × 2
#> a b
#> <chr> <hidden>
#> 1 a
#> 2 b
#> 3 c
Last but not least, it is also possible to completely alter the display of the body by overriding tbl_format_body()
. The example below uses plain data frame output for a tibble.
<- function(x, setup, ...) {
tbl_format_body.oldskool capture.output(print.data.frame(setup$df))
}
print(example_tbl("oldskool"), n = 2)
#> # A data frame: 3 × 2
#> a b.c b.d
#> 1 a 1 4.5
#> 2 b 2 5.5
#> # … with 1 more row
Note that default printed output is computed in tbl_format_setup()
, this takes a considerable amount of time. If you really need to change the output for the entire body, consider providing your own tbl_format_setup()
method.