# format_glimpse() output test
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# # Atomic numbers
format_glimpse(1)
Output
[1] "1"
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format_glimpse(1:3)
Output
[1] "1" "2" "3"
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format_glimpse(NA)
Output
[1] "NA"
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format_glimpse(TRUE)
Output
[1] "TRUE"
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format_glimpse(logical())
Output
character(0)
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# # Strings
format_glimpse("1")
Output
[1] "\"1\""
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format_glimpse(letters)
Output
[1] "\"a\"" "\"b\"" "\"c\"" "\"d\"" "\"e\"" "\"f\"" "\"g\"" "\"h\"" "\"i\""
[10] "\"j\"" "\"k\"" "\"l\"" "\"m\"" "\"n\"" "\"o\"" "\"p\"" "\"q\"" "\"r\""
[19] "\"s\"" "\"t\"" "\"u\"" "\"v\"" "\"w\"" "\"x\"" "\"y\"" "\"z\""
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format_glimpse(NA_character_)
Output
[1] "NA"
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format_glimpse(character())
Output
character(0)
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# # Factors
format_glimpse(factor(c("1", "a")))
Output
[1] "1" "a"
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format_glimpse(factor(c("foo", "\"bar\"")))
Output
[1] "foo" "\"bar\""
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format_glimpse(factor())
Output
character(0)
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# Add quotes around factor levels with comma
# so they don't appear as if they were two observations (#384)
format_glimpse(factor(c("foo, bar", "foo", "\"bar\"")))
Output
[1] "\"foo, bar\"" "\"foo\"" "\"\\\"bar\\\"\""
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# # Lists
format_glimpse(list(1:3))
Output
[1] "<1, 2, 3>"
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format_glimpse(as.list(1:3))
Output
[1] "1" "2" "3"
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format_glimpse(list(1:3, 4))
Output
[1] "<1, 2, 3>" "4"
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format_glimpse(list(1:3, 4:5))
Output
[1] "<1, 2, 3>" "<4, 5>"
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format_glimpse(list())
Output
[1] "list()"
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format_glimpse(list(list()))
Output
[1] "[]"
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format_glimpse(list(character()))
Output
[1] "<>"
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format_glimpse(list(1:3, list(4)))
Output
[1] "<1, 2, 3>" "[4]"
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format_glimpse(list(1:3, list(4:5)))
Output
[1] "<1, 2, 3>" "[<4, 5>]"
# output test for glimpse()
Code
glimpse(as_tbl(mtcars), width = 70L)
Output
Rows: 32
Columns: 11
$ mpg <dbl> 21.0, 21.0, 22.8, 21.4, 18.7, 18.1, 14.3, 24.4, 22.8, 1~
$ cyl <dbl> 6, 6, 4, 6, 8, 6, 8, 4, 4, 6, 6, 8, 8, 8, 8, 8, 8, 4, 4~
$ disp <dbl> 160.0, 160.0, 108.0, 258.0, 360.0, 225.0, 360.0, 146.7,~
$ hp <dbl> 110, 110, 93, 110, 175, 105, 245, 62, 95, 123, 123, 180~
$ drat <dbl> 3.90, 3.90, 3.85, 3.08, 3.15, 2.76, 3.21, 3.69, 3.92, 3~
$ wt <dbl> 2.620, 2.875, 2.320, 3.215, 3.440, 3.460, 3.570, 3.190,~
$ qsec <dbl> 16.46, 17.02, 18.61, 19.44, 17.02, 20.22, 15.84, 20.00,~
$ vs <dbl> 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1~
$ am <dbl> 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1~
$ gear <dbl> 4, 4, 4, 3, 3, 3, 3, 4, 4, 4, 4, 3, 3, 3, 3, 3, 3, 4, 4~
$ carb <dbl> 4, 4, 1, 1, 2, 1, 4, 2, 2, 4, 4, 3, 3, 3, 4, 4, 4, 1, 2~
Code
glimpse(as_tbl(trees), width = 70L)
Output
Rows: 31
Columns: 3
$ Girth <dbl> 8.3, 8.6, 8.8, 10.5, 10.7, 10.8, 11.0, 11.0, 11.1, 11~
$ Height <dbl> 70, 65, 63, 72, 81, 83, 66, 75, 80, 75, 79, 76, 76, 6~
$ Volume <dbl> 10.3, 10.3, 10.2, 16.4, 18.8, 19.7, 15.6, 18.2, 22.6,~
Code
# No columns
glimpse(as_tbl(trees[integer()]), width = 70L)
Output
Rows: 31
Columns: 0
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# Non-syntactic names
df <- tibble::tibble(!!!set_names(c(5, 3), c("mean(x)", "var(x)")))
glimpse(df, width = 28)
Output
Rows: 1
Columns: 2
$ `mean(x)` <dbl> 5
$ `var(x)` <dbl> 3
Code
glimpse(as_tbl(df_all), width = 70L)
Output
Rows: 3
Columns: 9
$ a <dbl> 1.0, 2.5, NA
$ b <int> 1, 2, NA
$ c <lgl> TRUE, FALSE, NA
$ d <chr> "a", "b", NA
$ e <fct> a, b, NA
$ f <date> 2015-12-10, 2015-12-11, NA
$ g <dttm> 2015-12-09 10:51:35, 2015-12-09 10:51:36, NA
$ h <list> 1, 2, NA
$ i <list> [1, <2, 3>], [<4, 5, 6>], [NA]
Code
# options(tibble.width = 50)
withr::with_options(list(tibble.width = 50), glimpse(as_tbl(df_all)))
Output
Rows: 3
Columns: 9
$ a <dbl> 1.0, 2.5, NA
$ b <int> 1, 2, NA
$ c <lgl> TRUE, FALSE, NA
$ d <chr> "a", "b", NA
$ e <fct> a, b, NA
$ f <date> 2015-12-10, 2015-12-11, NA
$ g <dttm> 2015-12-09 10:51:35, 2015-12-09 10:51:~
$ h <list> 1, 2, NA
$ i <list> [1, <2, 3>], [<4, 5, 6>], [NA]
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# options(tibble.width = 35)
withr::with_options(list(tibble.width = 35), glimpse(as_tbl(df_all)))
Output
Rows: 3
Columns: 9
$ a <dbl> 1.0, 2.5, NA
$ b <int> 1, 2, NA
$ c <lgl> TRUE, FALSE, NA
$ d <chr> "a", "b", NA
$ e <fct> a, b, NA
$ f <date> 2015-12-10, 2015-12-11,~
$ g <dttm> 2015-12-09 10:51:35, 20~
$ h <list> 1, 2, NA
$ i <list> [1, <2, 3>], [<4, 5, 6>~
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# non-tibble
glimpse(5)
Output
num 5
Code
trees2 <- as_unknown_rows(trees)
glimpse(trees2, width = 70L)
Output
Rows: ??
Columns: 3
$ Girth <dbl> 8.3, 8.6, 8.8, 10.5, 10.7, 10.8, 11.0, 11.0, 11.1, 11~
$ Height <dbl> 70, 65, 63, 72, 81, 83, 66, 75, 80, 75, 79, 76, 76, 6~
$ Volume <dbl> 10.3, 10.3, 10.2, 16.4, 18.8, 19.7, 15.6, 18.2, 22.6,~
Code
cyl <- unique(mtcars$cyl)
data <- unname(split(mtcars, mtcars$cyl))
nested_mtcars_df <- tibble::tibble(cyl, data)
glimpse(nested_mtcars_df, width = 70L)
Output
Rows: 3
Columns: 2
$ cyl <dbl> 6, 4, 8
$ data <list> [<data.frame[11 x 11]>], [<data.frame[7 x 11]>], [<data~
Code
data <- map(data, as_tbl)
nested_mtcars_tbl <- tibble::tibble(cyl, data)
glimpse(nested_mtcars_tbl, width = 70L)
Output
Rows: 3
Columns: 2
$ cyl <dbl> 6, 4, 8
$ data <list> [<tbl[11 x 11]>], [<tbl[7 x 11]>], [<tbl[14 x 11]>]
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