Nothing
tests/testthat/_snaps/tbl-format.md
In pillar: Coloured Formatting for Columns
format() reacts on cli.num_colors option
Code
format(as_tbl(trees))
Output
[1] "\033[90m# A data frame: 31 x 3\033[39m"
[2] " Girth Height Volume"
[3] " \033[3m\033[90m<dbl>\033[39m\033[23m \033[3m\033[90m<dbl>\033[39m\033[23m \033[3m\033[90m<dbl>\033[39m\033[23m"
[4] "\033[90m 1\033[39m 8.3 70 10.3"
[5] "\033[90m 2\033[39m 8.6 65 10.3"
[6] "\033[90m 3\033[39m 8.8 63 10.2"
[7] "\033[90m 4\033[39m 10.5 72 16.4"
[8] "\033[90m 5\033[39m 10.7 81 18.8"
[9] "\033[90m 6\033[39m 10.8 83 19.7"
[10] "\033[90m 7\033[39m 11 66 15.6"
[11] "\033[90m 8\033[39m 11 75 18.2"
[12] "\033[90m 9\033[39m 11.1 80 22.6"
[13] "\033[90m10\033[39m 11.2 75 19.9"
[14] "\033[90m# i 21 more rows\033[39m"
Code
options(cli.num_colors = 1)
format(as_tbl(trees))
Output
[1] "# A data frame: 31 x 3" " Girth Height Volume" " <dbl> <dbl> <dbl>"
[4] " 1 8.3 70 10.3" " 2 8.6 65 10.3" " 3 8.8 63 10.2"
[7] " 4 10.5 72 16.4" " 5 10.7 81 18.8" " 6 10.8 83 19.7"
[10] " 7 11 66 15.6" " 8 11 75 18.2" " 9 11.1 80 22.6"
[13] "10 11.2 75 19.9" "# i 21 more rows"
print() output
Code
as_tbl(mtcars)
Output
# A data frame: 32 x 11
mpg cyl disp hp drat wt qsec vs am gear carb
* <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
1 21 6 160 110 3.9 2.62 16.5 0 1 4 4
2 21 6 160 110 3.9 2.88 17.0 0 1 4 4
3 22.8 4 108 93 3.85 2.32 18.6 1 1 4 1
4 21.4 6 258 110 3.08 3.22 19.4 1 0 3 1
5 18.7 8 360 175 3.15 3.44 17.0 0 0 3 2
6 18.1 6 225 105 2.76 3.46 20.2 1 0 3 1
7 14.3 8 360 245 3.21 3.57 15.8 0 0 3 4
8 24.4 4 147. 62 3.69 3.19 20 1 0 4 2
9 22.8 4 141. 95 3.92 3.15 22.9 1 0 4 2
10 19.2 6 168. 123 3.92 3.44 18.3 1 0 4 4
# i 22 more rows
Code
print(as_tbl(mtcars), n = 8, width = 30)
Output
# A data frame: 32 x 11
mpg cyl disp hp
* <dbl> <dbl> <dbl> <dbl>
1 21 6 160 110
2 21 6 160 110
3 22.8 4 108 93
4 21.4 6 258 110
5 18.7 8 360 175
6 18.1 6 225 105
7 14.3 8 360 245
8 24.4 4 147. 62
# i 24 more rows
# i 7 more variables:
# drat <dbl>, wt <dbl>,
# qsec <dbl>, vs <dbl>,
# am <dbl>, gear <dbl>,
# carb <dbl>
Code
print(as_tbl(mtcars), n = 30)
Output
# A data frame: 32 x 11
mpg cyl disp hp drat wt qsec vs am gear carb
* <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
1 21 6 160 110 3.9 2.62 16.5 0 1 4 4
2 21 6 160 110 3.9 2.88 17.0 0 1 4 4
3 22.8 4 108 93 3.85 2.32 18.6 1 1 4 1
4 21.4 6 258 110 3.08 3.22 19.4 1 0 3 1
5 18.7 8 360 175 3.15 3.44 17.0 0 0 3 2
6 18.1 6 225 105 2.76 3.46 20.2 1 0 3 1
7 14.3 8 360 245 3.21 3.57 15.8 0 0 3 4
8 24.4 4 147. 62 3.69 3.19 20 1 0 4 2
9 22.8 4 141. 95 3.92 3.15 22.9 1 0 4 2
10 19.2 6 168. 123 3.92 3.44 18.3 1 0 4 4
11 17.8 6 168. 123 3.92 3.44 18.9 1 0 4 4
12 16.4 8 276. 180 3.07 4.07 17.4 0 0 3 3
13 17.3 8 276. 180 3.07 3.73 17.6 0 0 3 3
14 15.2 8 276. 180 3.07 3.78 18 0 0 3 3
15 10.4 8 472 205 2.93 5.25 18.0 0 0 3 4
16 10.4 8 460 215 3 5.42 17.8 0 0 3 4
17 14.7 8 440 230 3.23 5.34 17.4 0 0 3 4
18 32.4 4 78.7 66 4.08 2.2 19.5 1 1 4 1
19 30.4 4 75.7 52 4.93 1.62 18.5 1 1 4 2
20 33.9 4 71.1 65 4.22 1.84 19.9 1 1 4 1
21 21.5 4 120. 97 3.7 2.46 20.0 1 0 3 1
22 15.5 8 318 150 2.76 3.52 16.9 0 0 3 2
23 15.2 8 304 150 3.15 3.44 17.3 0 0 3 2
24 13.3 8 350 245 3.73 3.84 15.4 0 0 3 4
25 19.2 8 400 175 3.08 3.84 17.0 0 0 3 2
26 27.3 4 79 66 4.08 1.94 18.9 1 1 4 1
27 26 4 120. 91 4.43 2.14 16.7 0 1 5 2
28 30.4 4 95.1 113 3.77 1.51 16.9 1 1 5 2
29 15.8 8 351 264 4.22 3.17 14.5 0 1 5 4
30 19.7 6 145 175 3.62 2.77 15.5 0 1 5 6
# i 2 more rows
Code
print(as_tbl(mtcars), n = 100)
Output
# A data frame: 32 x 11
mpg cyl disp hp drat wt qsec vs am gear carb
* <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
1 21 6 160 110 3.9 2.62 16.5 0 1 4 4
2 21 6 160 110 3.9 2.88 17.0 0 1 4 4
3 22.8 4 108 93 3.85 2.32 18.6 1 1 4 1
4 21.4 6 258 110 3.08 3.22 19.4 1 0 3 1
5 18.7 8 360 175 3.15 3.44 17.0 0 0 3 2
6 18.1 6 225 105 2.76 3.46 20.2 1 0 3 1
7 14.3 8 360 245 3.21 3.57 15.8 0 0 3 4
8 24.4 4 147. 62 3.69 3.19 20 1 0 4 2
9 22.8 4 141. 95 3.92 3.15 22.9 1 0 4 2
10 19.2 6 168. 123 3.92 3.44 18.3 1 0 4 4
11 17.8 6 168. 123 3.92 3.44 18.9 1 0 4 4
12 16.4 8 276. 180 3.07 4.07 17.4 0 0 3 3
13 17.3 8 276. 180 3.07 3.73 17.6 0 0 3 3
14 15.2 8 276. 180 3.07 3.78 18 0 0 3 3
15 10.4 8 472 205 2.93 5.25 18.0 0 0 3 4
16 10.4 8 460 215 3 5.42 17.8 0 0 3 4
17 14.7 8 440 230 3.23 5.34 17.4 0 0 3 4
18 32.4 4 78.7 66 4.08 2.2 19.5 1 1 4 1
19 30.4 4 75.7 52 4.93 1.62 18.5 1 1 4 2
20 33.9 4 71.1 65 4.22 1.84 19.9 1 1 4 1
21 21.5 4 120. 97 3.7 2.46 20.0 1 0 3 1
22 15.5 8 318 150 2.76 3.52 16.9 0 0 3 2
23 15.2 8 304 150 3.15 3.44 17.3 0 0 3 2
24 13.3 8 350 245 3.73 3.84 15.4 0 0 3 4
25 19.2 8 400 175 3.08 3.84 17.0 0 0 3 2
26 27.3 4 79 66 4.08 1.94 18.9 1 1 4 1
27 26 4 120. 91 4.43 2.14 16.7 0 1 5 2
28 30.4 4 95.1 113 3.77 1.51 16.9 1 1 5 2
29 15.8 8 351 264 4.22 3.17 14.5 0 1 5 4
30 19.7 6 145 175 3.62 2.77 15.5 0 1 5 6
31 15 8 301 335 3.54 3.57 14.6 0 1 5 8
32 21.4 4 121 109 4.11 2.78 18.6 1 1 4 2
Code
print(as_tbl(mtcars), width = 40, max_extra_cols = 1)
Output
# A data frame: 32 x 11
mpg cyl disp hp drat wt
* <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
1 21 6 160 110 3.9 2.62
2 21 6 160 110 3.9 2.88
3 22.8 4 108 93 3.85 2.32
4 21.4 6 258 110 3.08 3.22
5 18.7 8 360 175 3.15 3.44
6 18.1 6 225 105 2.76 3.46
7 14.3 8 360 245 3.21 3.57
8 24.4 4 147. 62 3.69 3.19
9 22.8 4 141. 95 3.92 3.15
10 19.2 6 168. 123 3.92 3.44
# i 22 more rows
# i 5 more variables: qsec <dbl>, ...
Code
print(as_tbl(mtcars), width = 30, max_footer_lines = 3)
Output
# A data frame: 32 x 11
mpg cyl disp hp
* <dbl> <dbl> <dbl> <dbl>
1 21 6 160 110
2 21 6 160 110
3 22.8 4 108 93
4 21.4 6 258 110
5 18.7 8 360 175
6 18.1 6 225 105
7 14.3 8 360 245
8 24.4 4 147. 62
9 22.8 4 141. 95
10 19.2 6 168. 123
# i 22 more rows
# i 7 more variables:
# drat <dbl>, wt <dbl>, ...
Code
rlang::with_options(tibble.print_min = 5, as_tbl(mtcars))
Output
# A data frame: 32 x 11
mpg cyl disp hp drat wt qsec vs am gear carb
* <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
1 21 6 160 110 3.9 2.62 16.5 0 1 4 4
2 21 6 160 110 3.9 2.88 17.0 0 1 4 4
3 22.8 4 108 93 3.85 2.32 18.6 1 1 4 1
4 21.4 6 258 110 3.08 3.22 19.4 1 0 3 1
5 18.7 8 360 175 3.15 3.44 17.0 0 0 3 2
6 18.1 6 225 105 2.76 3.46 20.2 1 0 3 1
7 14.3 8 360 245 3.21 3.57 15.8 0 0 3 4
8 24.4 4 147. 62 3.69 3.19 20 1 0 4 2
9 22.8 4 141. 95 3.92 3.15 22.9 1 0 4 2
10 19.2 6 168. 123 3.92 3.44 18.3 1 0 4 4
# i 22 more rows
Code
rlang::with_options(tibble.print_max = 50, as_tbl(mtcars))
Output
# A data frame: 32 x 11
mpg cyl disp hp drat wt qsec vs am gear carb
* <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
1 21 6 160 110 3.9 2.62 16.5 0 1 4 4
2 21 6 160 110 3.9 2.88 17.0 0 1 4 4
3 22.8 4 108 93 3.85 2.32 18.6 1 1 4 1
4 21.4 6 258 110 3.08 3.22 19.4 1 0 3 1
5 18.7 8 360 175 3.15 3.44 17.0 0 0 3 2
6 18.1 6 225 105 2.76 3.46 20.2 1 0 3 1
7 14.3 8 360 245 3.21 3.57 15.8 0 0 3 4
8 24.4 4 147. 62 3.69 3.19 20 1 0 4 2
9 22.8 4 141. 95 3.92 3.15 22.9 1 0 4 2
10 19.2 6 168. 123 3.92 3.44 18.3 1 0 4 4
# i 22 more rows
Code
rlang::with_options(tibble.width = 30, as_tbl(mtcars))
Output
# A data frame: 32 x 11
mpg cyl disp hp drat wt qsec vs am gear carb
* <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
1 21 6 160 110 3.9 2.62 16.5 0 1 4 4
2 21 6 160 110 3.9 2.88 17.0 0 1 4 4
3 22.8 4 108 93 3.85 2.32 18.6 1 1 4 1
4 21.4 6 258 110 3.08 3.22 19.4 1 0 3 1
5 18.7 8 360 175 3.15 3.44 17.0 0 0 3 2
6 18.1 6 225 105 2.76 3.46 20.2 1 0 3 1
7 14.3 8 360 245 3.21 3.57 15.8 0 0 3 4
8 24.4 4 147. 62 3.69 3.19 20 1 0 4 2
9 22.8 4 141. 95 3.92 3.15 22.9 1 0 4 2
10 19.2 6 168. 123 3.92 3.44 18.3 1 0 4 4
# i 22 more rows
Code
print(as_tbl(mtcars), width = 40, max_extra_cols = 1)
Output
# A data frame: 32 x 11
mpg cyl disp hp drat wt
* <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
1 21 6 160 110 3.9 2.62
2 21 6 160 110 3.9 2.88
3 22.8 4 108 93 3.85 2.32
4 21.4 6 258 110 3.08 3.22
5 18.7 8 360 175 3.15 3.44
6 18.1 6 225 105 2.76 3.46
7 14.3 8 360 245 3.21 3.57
8 24.4 4 147. 62 3.69 3.19
9 22.8 4 141. 95 3.92 3.15
10 19.2 6 168. 123 3.92 3.44
# i 22 more rows
# i 5 more variables: qsec <dbl>, ...
Code
print(tbl_format_setup(new_tbl(trees, pillar_focus = "Volume"), width = 30))
Output
<pillar_tbl_format_setup>
<tbl_format_header(setup)>
# A data frame: 31 x 3
# Focus columns: Volume
<tbl_format_body(setup)>
Girth Height Volume
<dbl> <dbl> <dbl>
1 8.3 70 10.3
2 8.6 65 10.3
3 8.8 63 10.2
4 10.5 72 16.4
5 10.7 81 18.8
6 10.8 83 19.7
7 11 66 15.6
8 11 75 18.2
9 11.1 80 22.6
10 11.2 75 19.9
<tbl_format_footer(setup)>
# i 21 more rows
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format() reacts on cli.num_colors option
Code
format(as_tbl(trees))
Output
[1] "\033[90m# A data frame: 31 x 3\033[39m"
[2] " Girth Height Volume"
[3] " \033[3m\033[90m<dbl>\033[39m\033[23m \033[3m\033[90m<dbl>\033[39m\033[23m \033[3m\033[90m<dbl>\033[39m\033[23m"
[4] "\033[90m 1\033[39m 8.3 70 10.3"
[5] "\033[90m 2\033[39m 8.6 65 10.3"
[6] "\033[90m 3\033[39m 8.8 63 10.2"
[7] "\033[90m 4\033[39m 10.5 72 16.4"
[8] "\033[90m 5\033[39m 10.7 81 18.8"
[9] "\033[90m 6\033[39m 10.8 83 19.7"
[10] "\033[90m 7\033[39m 11 66 15.6"
[11] "\033[90m 8\033[39m 11 75 18.2"
[12] "\033[90m 9\033[39m 11.1 80 22.6"
[13] "\033[90m10\033[39m 11.2 75 19.9"
[14] "\033[90m# i 21 more rows\033[39m"
Code
options(cli.num_colors = 1)
format(as_tbl(trees))
Output
[1] "# A data frame: 31 x 3" " Girth Height Volume" " <dbl> <dbl> <dbl>"
[4] " 1 8.3 70 10.3" " 2 8.6 65 10.3" " 3 8.8 63 10.2"
[7] " 4 10.5 72 16.4" " 5 10.7 81 18.8" " 6 10.8 83 19.7"
[10] " 7 11 66 15.6" " 8 11 75 18.2" " 9 11.1 80 22.6"
[13] "10 11.2 75 19.9" "# i 21 more rows"
print() output
Code
as_tbl(mtcars)
Output
# A data frame: 32 x 11
mpg cyl disp hp drat wt qsec vs am gear carb
* <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
1 21 6 160 110 3.9 2.62 16.5 0 1 4 4
2 21 6 160 110 3.9 2.88 17.0 0 1 4 4
3 22.8 4 108 93 3.85 2.32 18.6 1 1 4 1
4 21.4 6 258 110 3.08 3.22 19.4 1 0 3 1
5 18.7 8 360 175 3.15 3.44 17.0 0 0 3 2
6 18.1 6 225 105 2.76 3.46 20.2 1 0 3 1
7 14.3 8 360 245 3.21 3.57 15.8 0 0 3 4
8 24.4 4 147. 62 3.69 3.19 20 1 0 4 2
9 22.8 4 141. 95 3.92 3.15 22.9 1 0 4 2
10 19.2 6 168. 123 3.92 3.44 18.3 1 0 4 4
# i 22 more rows
Code
print(as_tbl(mtcars), n = 8, width = 30)
Output
# A data frame: 32 x 11
mpg cyl disp hp
* <dbl> <dbl> <dbl> <dbl>
1 21 6 160 110
2 21 6 160 110
3 22.8 4 108 93
4 21.4 6 258 110
5 18.7 8 360 175
6 18.1 6 225 105
7 14.3 8 360 245
8 24.4 4 147. 62
# i 24 more rows
# i 7 more variables:
# drat <dbl>, wt <dbl>,
# qsec <dbl>, vs <dbl>,
# am <dbl>, gear <dbl>,
# carb <dbl>
Code
print(as_tbl(mtcars), n = 30)
Output
# A data frame: 32 x 11
mpg cyl disp hp drat wt qsec vs am gear carb
* <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
1 21 6 160 110 3.9 2.62 16.5 0 1 4 4
2 21 6 160 110 3.9 2.88 17.0 0 1 4 4
3 22.8 4 108 93 3.85 2.32 18.6 1 1 4 1
4 21.4 6 258 110 3.08 3.22 19.4 1 0 3 1
5 18.7 8 360 175 3.15 3.44 17.0 0 0 3 2
6 18.1 6 225 105 2.76 3.46 20.2 1 0 3 1
7 14.3 8 360 245 3.21 3.57 15.8 0 0 3 4
8 24.4 4 147. 62 3.69 3.19 20 1 0 4 2
9 22.8 4 141. 95 3.92 3.15 22.9 1 0 4 2
10 19.2 6 168. 123 3.92 3.44 18.3 1 0 4 4
11 17.8 6 168. 123 3.92 3.44 18.9 1 0 4 4
12 16.4 8 276. 180 3.07 4.07 17.4 0 0 3 3
13 17.3 8 276. 180 3.07 3.73 17.6 0 0 3 3
14 15.2 8 276. 180 3.07 3.78 18 0 0 3 3
15 10.4 8 472 205 2.93 5.25 18.0 0 0 3 4
16 10.4 8 460 215 3 5.42 17.8 0 0 3 4
17 14.7 8 440 230 3.23 5.34 17.4 0 0 3 4
18 32.4 4 78.7 66 4.08 2.2 19.5 1 1 4 1
19 30.4 4 75.7 52 4.93 1.62 18.5 1 1 4 2
20 33.9 4 71.1 65 4.22 1.84 19.9 1 1 4 1
21 21.5 4 120. 97 3.7 2.46 20.0 1 0 3 1
22 15.5 8 318 150 2.76 3.52 16.9 0 0 3 2
23 15.2 8 304 150 3.15 3.44 17.3 0 0 3 2
24 13.3 8 350 245 3.73 3.84 15.4 0 0 3 4
25 19.2 8 400 175 3.08 3.84 17.0 0 0 3 2
26 27.3 4 79 66 4.08 1.94 18.9 1 1 4 1
27 26 4 120. 91 4.43 2.14 16.7 0 1 5 2
28 30.4 4 95.1 113 3.77 1.51 16.9 1 1 5 2
29 15.8 8 351 264 4.22 3.17 14.5 0 1 5 4
30 19.7 6 145 175 3.62 2.77 15.5 0 1 5 6
# i 2 more rows
Code
print(as_tbl(mtcars), n = 100)
Output
# A data frame: 32 x 11
mpg cyl disp hp drat wt qsec vs am gear carb
* <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
1 21 6 160 110 3.9 2.62 16.5 0 1 4 4
2 21 6 160 110 3.9 2.88 17.0 0 1 4 4
3 22.8 4 108 93 3.85 2.32 18.6 1 1 4 1
4 21.4 6 258 110 3.08 3.22 19.4 1 0 3 1
5 18.7 8 360 175 3.15 3.44 17.0 0 0 3 2
6 18.1 6 225 105 2.76 3.46 20.2 1 0 3 1
7 14.3 8 360 245 3.21 3.57 15.8 0 0 3 4
8 24.4 4 147. 62 3.69 3.19 20 1 0 4 2
9 22.8 4 141. 95 3.92 3.15 22.9 1 0 4 2
10 19.2 6 168. 123 3.92 3.44 18.3 1 0 4 4
11 17.8 6 168. 123 3.92 3.44 18.9 1 0 4 4
12 16.4 8 276. 180 3.07 4.07 17.4 0 0 3 3
13 17.3 8 276. 180 3.07 3.73 17.6 0 0 3 3
14 15.2 8 276. 180 3.07 3.78 18 0 0 3 3
15 10.4 8 472 205 2.93 5.25 18.0 0 0 3 4
16 10.4 8 460 215 3 5.42 17.8 0 0 3 4
17 14.7 8 440 230 3.23 5.34 17.4 0 0 3 4
18 32.4 4 78.7 66 4.08 2.2 19.5 1 1 4 1
19 30.4 4 75.7 52 4.93 1.62 18.5 1 1 4 2
20 33.9 4 71.1 65 4.22 1.84 19.9 1 1 4 1
21 21.5 4 120. 97 3.7 2.46 20.0 1 0 3 1
22 15.5 8 318 150 2.76 3.52 16.9 0 0 3 2
23 15.2 8 304 150 3.15 3.44 17.3 0 0 3 2
24 13.3 8 350 245 3.73 3.84 15.4 0 0 3 4
25 19.2 8 400 175 3.08 3.84 17.0 0 0 3 2
26 27.3 4 79 66 4.08 1.94 18.9 1 1 4 1
27 26 4 120. 91 4.43 2.14 16.7 0 1 5 2
28 30.4 4 95.1 113 3.77 1.51 16.9 1 1 5 2
29 15.8 8 351 264 4.22 3.17 14.5 0 1 5 4
30 19.7 6 145 175 3.62 2.77 15.5 0 1 5 6
31 15 8 301 335 3.54 3.57 14.6 0 1 5 8
32 21.4 4 121 109 4.11 2.78 18.6 1 1 4 2
Code
print(as_tbl(mtcars), width = 40, max_extra_cols = 1)
Output
# A data frame: 32 x 11
mpg cyl disp hp drat wt
* <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
1 21 6 160 110 3.9 2.62
2 21 6 160 110 3.9 2.88
3 22.8 4 108 93 3.85 2.32
4 21.4 6 258 110 3.08 3.22
5 18.7 8 360 175 3.15 3.44
6 18.1 6 225 105 2.76 3.46
7 14.3 8 360 245 3.21 3.57
8 24.4 4 147. 62 3.69 3.19
9 22.8 4 141. 95 3.92 3.15
10 19.2 6 168. 123 3.92 3.44
# i 22 more rows
# i 5 more variables: qsec <dbl>, ...
Code
print(as_tbl(mtcars), width = 30, max_footer_lines = 3)
Output
# A data frame: 32 x 11
mpg cyl disp hp
* <dbl> <dbl> <dbl> <dbl>
1 21 6 160 110
2 21 6 160 110
3 22.8 4 108 93
4 21.4 6 258 110
5 18.7 8 360 175
6 18.1 6 225 105
7 14.3 8 360 245
8 24.4 4 147. 62
9 22.8 4 141. 95
10 19.2 6 168. 123
# i 22 more rows
# i 7 more variables:
# drat <dbl>, wt <dbl>, ...
Code
rlang::with_options(tibble.print_min = 5, as_tbl(mtcars))
Output
# A data frame: 32 x 11
mpg cyl disp hp drat wt qsec vs am gear carb
* <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
1 21 6 160 110 3.9 2.62 16.5 0 1 4 4
2 21 6 160 110 3.9 2.88 17.0 0 1 4 4
3 22.8 4 108 93 3.85 2.32 18.6 1 1 4 1
4 21.4 6 258 110 3.08 3.22 19.4 1 0 3 1
5 18.7 8 360 175 3.15 3.44 17.0 0 0 3 2
6 18.1 6 225 105 2.76 3.46 20.2 1 0 3 1
7 14.3 8 360 245 3.21 3.57 15.8 0 0 3 4
8 24.4 4 147. 62 3.69 3.19 20 1 0 4 2
9 22.8 4 141. 95 3.92 3.15 22.9 1 0 4 2
10 19.2 6 168. 123 3.92 3.44 18.3 1 0 4 4
# i 22 more rows
Code
rlang::with_options(tibble.print_max = 50, as_tbl(mtcars))
Output
# A data frame: 32 x 11
mpg cyl disp hp drat wt qsec vs am gear carb
* <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
1 21 6 160 110 3.9 2.62 16.5 0 1 4 4
2 21 6 160 110 3.9 2.88 17.0 0 1 4 4
3 22.8 4 108 93 3.85 2.32 18.6 1 1 4 1
4 21.4 6 258 110 3.08 3.22 19.4 1 0 3 1
5 18.7 8 360 175 3.15 3.44 17.0 0 0 3 2
6 18.1 6 225 105 2.76 3.46 20.2 1 0 3 1
7 14.3 8 360 245 3.21 3.57 15.8 0 0 3 4
8 24.4 4 147. 62 3.69 3.19 20 1 0 4 2
9 22.8 4 141. 95 3.92 3.15 22.9 1 0 4 2
10 19.2 6 168. 123 3.92 3.44 18.3 1 0 4 4
# i 22 more rows
Code
rlang::with_options(tibble.width = 30, as_tbl(mtcars))
Output
# A data frame: 32 x 11
mpg cyl disp hp drat wt qsec vs am gear carb
* <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
1 21 6 160 110 3.9 2.62 16.5 0 1 4 4
2 21 6 160 110 3.9 2.88 17.0 0 1 4 4
3 22.8 4 108 93 3.85 2.32 18.6 1 1 4 1
4 21.4 6 258 110 3.08 3.22 19.4 1 0 3 1
5 18.7 8 360 175 3.15 3.44 17.0 0 0 3 2
6 18.1 6 225 105 2.76 3.46 20.2 1 0 3 1
7 14.3 8 360 245 3.21 3.57 15.8 0 0 3 4
8 24.4 4 147. 62 3.69 3.19 20 1 0 4 2
9 22.8 4 141. 95 3.92 3.15 22.9 1 0 4 2
10 19.2 6 168. 123 3.92 3.44 18.3 1 0 4 4
# i 22 more rows
Code
print(as_tbl(mtcars), width = 40, max_extra_cols = 1)
Output
# A data frame: 32 x 11
mpg cyl disp hp drat wt
* <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
1 21 6 160 110 3.9 2.62
2 21 6 160 110 3.9 2.88
3 22.8 4 108 93 3.85 2.32
4 21.4 6 258 110 3.08 3.22
5 18.7 8 360 175 3.15 3.44
6 18.1 6 225 105 2.76 3.46
7 14.3 8 360 245 3.21 3.57
8 24.4 4 147. 62 3.69 3.19
9 22.8 4 141. 95 3.92 3.15
10 19.2 6 168. 123 3.92 3.44
# i 22 more rows
# i 5 more variables: qsec <dbl>, ...
Code
print(tbl_format_setup(new_tbl(trees, pillar_focus = "Volume"), width = 30))
Output
<pillar_tbl_format_setup>
<tbl_format_header(setup)>
# A data frame: 31 x 3
# Focus columns: Volume
<tbl_format_body(setup)>
Girth Height Volume
<dbl> <dbl> <dbl>
1 8.3 70 10.3
2 8.6 65 10.3
3 8.8 63 10.2
4 10.5 72 16.4
5 10.7 81 18.8
6 10.8 83 19.7
7 11 66 15.6
8 11 75 18.2
9 11.1 80 22.6
10 11.2 75 19.9
<tbl_format_footer(setup)>
# i 21 more rows
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