for examples) or custom table classes (like [dbplyr](https://dbplyr.tidyverse.org/) or [sf](https://r-spatial.github.io/sf/)).
-library(pillar)
-
-x <- 123456789 * (10 ^ c(-3, -5, NA, -8, -10))
-pillar(x)
-#> <pillar>
-#> <dbl>
-#> 123457.
-#> 1235.
-#> NA
-#> 1.23
-#> 0.0123
-
-tbl_format_setup(tibble::tibble(x))
-#> <pillar_tbl_format_setup>
-#> <tbl_format_header(setup)>
-#> # A data frame: 5 × 1
-#> <tbl_format_body(setup)>
-#> x
-#> <dbl>
-#> 1 123457.
-#> 2 1235.
-#> 3 NA
-#> 4 1.23
-#> 5 0.0123
-#> <tbl_format_footer(setup)>
+library(pillar)
+
+x <- 123456789 * (10^c(-3, -5, NA, -8, -10))
+pillar(x)
+#> <pillar>
+#> <dbl>
+#> 123457.
+#> 1235.
+#> NA
+#> 1.23
+#> 0.0123
+
+tbl_format_setup(tibble::tibble(x))
+#> <pillar_tbl_format_setup>
+#> <tbl_format_header(setup)>
+#> # A tibble: 5 × 1
+#> <tbl_format_body(setup)>
+#> x
+#> <dbl>
+#> 1 123457.
+#> 2 1235.
+#> 3 NA
+#> 4 1.23
+#> 5 0.0123
+#> <tbl_format_footer(setup)>
## Custom vector classes
The primary user of this package is [tibble](https://github.com/tidyverse/tibble), which lets pillar do all the formatting work. Packages that implement a data type to be used in a tibble column can customize the display by implementing a [`pillar_shaft()`](https://pillar.r-lib.org/reference/pillar_shaft.html) method.
-library(pillar)
-
-percent <- vctrs::new_vctr(9:11 * 0.01, class = "percent")
-
-pillar_shaft.percent <- function(x, ...) {
- fmt <- format(vctrs::vec_data(x) * 100)
- new_pillar_shaft_simple(paste0(fmt, " ", style_subtle("%")), align = "right")
-}
-
-pillar(percent)
-#> <pillar>
-#> <percent>
-#> 9 %
-#> 10 %
-#> 11 %
+library(pillar)
+
+percent <- vctrs::new_vctr(9:11 * 0.01, class = "percent")
+
+pillar_shaft.percent <- function(x, ...) {
+ fmt <- format(vctrs::vec_data(x) * 100)
+ new_pillar_shaft_simple(paste0(fmt, " ", style_subtle("%")), align = "right")
+}
+
+pillar(percent)
+#> <pillar>
+#> <percent>
+#> 9 %
+#> 10 %
+#> 11 %
See [`vignette("pillar", package = "vctrs")`](https://vctrs.r-lib.org/articles/pillar.html) for details.
@@ -80,19 +80,19 @@ See [`vignette("pillar", package = "vctrs")`](https://vctrs.r-lib.org/articles/p
pillar provides various extension points for customizing how a tibble-like class is printed.
-tbl <- vctrs::new_data_frame(list(a = 1:3), class = c("my_tbl", "tbl"))
-
-tbl_sum.my_tbl <- function(x, ...) {
- c("Hello" = "world!")
-}
-
-tbl
-#> # Hello: world!
-#> a
-#> <int>
-#> 1 1
-#> 2 2
-#> 3 3
+tbl <- vctrs::new_data_frame(list(a = 1:3), class = c("my_tbl", "tbl"))
+
+tbl_sum.my_tbl <- function(x, ...) {
+ c("Hello" = "world!")
+}
+
+tbl
+#> # Hello: world!
+#> a
+#> <int>
+#> 1 1
+#> 2 2
+#> 3 3
See [`vignette("extending", package = "pillar")`](https://pillar.r-lib.org/articles/extending.html) for a walkthrough of the options.