tests/testthat/_snaps/separate-wider.md

In tidyr: Tidy Messy Data

separate_wider_delim() errors about too few/too many values

Code
  df %>% separate_wider_delim(x, " ", names = c("a", "b"))
Condition
  Error in `separate_wider_delim()`:
  ! Expected 2 pieces in each element of `x`.
  ! 1 value was too short.
  i Use `too_few = "debug"` to diagnose the problem.
  i Use `too_few = "align_start"/"align_end"` to silence this message.
  ! 1 value was too long.
  i Use `too_many = "debug"` to diagnose the problem.
  i Use `too_many = "drop"/"merge"` to silence this message.

separate_wider_delim() can diagnose problems

Code
  out <- df %>% separate_wider_delim(x, " ", names = c("a", "b"), too_few = "debug",
  too_many = "debug", )
Condition
  Warning:
  Debug mode activated: adding variables `x_ok`, `x_pieces`, and `x_remainder`.

separate_wider_delim() validates its inputs

Code
  df %>% separate_wider_delim()
Condition
  Error in `separate_wider_delim()`:
  ! `cols` is absent but must be supplied.
Code
  df %>% separate_wider_delim(x)
Condition
  Error in `separate_wider_delim()`:
  ! `delim` must be a single string, not absent.
Code
  df %>% separate_wider_delim(x, 1)
Condition
  Error in `separate_wider_delim()`:
  ! `delim` must be a single string, not the number 1.
Code
  df %>% separate_wider_delim(x, "")
Condition
  Error in `separate_wider_delim()`:
  ! `delim` must be a single string, not the empty string "".
Code
  df %>% separate_wider_delim(x, "-")
Condition
  Error in `separate_wider_delim()`:
  ! Must specify at least one of `names` or `names_sep`.
Code
  df %>% separate_wider_delim(x, "-", names = 1)
Condition
  Error in `separate_wider_delim()`:
  ! `names` must be a character vector or `NULL`, not the number 1.
Code
  df %>% separate_wider_delim(x, "-", names = c(x = "x"))
Condition
  Error in `separate_wider_delim()`:
  ! `names` must be an unnamed character vector.
Code
  df %>% separate_wider_delim(x, "-", names_sep = "_", too_many = "merge")
Condition
  Error in `separate_wider_delim()`:
  ! Must provide `names` when `too_many = "merge"`.

separate_wider_position() errors if lengths are inconsistent

Code
  df %>% separate_wider_position(x, widths = c(a = 2, b = 1))
Condition
  Error in `separate_wider_position()`:
  ! Expected 3 characters in each element of `x`.
  ! 1 value was too short.
  i Use `too_few = "debug"` to diagnose the problem.
  i Use `too_few = "start"` to silence this message.
  ! 1 value was too long.
  i Use `too_many = "debug"` to diagnose the problem.
  i Use `too_many = "drop"` to silence this message.

separate_wider_position() can diagnose problems

Code
  out <- df %>% separate_wider_position(x, widths = c(a = 2, b = 1), too_few = "debug",
  too_many = "debug")
Condition
  Warning:
  Debug mode activated: adding variables `x_ok`, `x_width`, and `x_remainder`.

separate_wider_position() validates its inputs

Code
  df %>% separate_wider_position()
Condition
  Error in `separate_wider_position()`:
  ! `cols` is absent but must be supplied.
Code
  df %>% separate_wider_position(x)
Condition
  Error in `is_integerish()`:
  ! argument "widths" is missing, with no default
Code
  df %>% separate_wider_position(x, widths = 1.5)
Condition
  Error in `separate_wider_position()`:
  ! `widths` must be a (partially) named integer vector.
Code
  df %>% separate_wider_position(x, widths = 1L)
Condition
  Error in `separate_wider_position()`:
  ! `widths` must be a (partially) named integer vector.
Code
  df %>% separate_wider_position(x, widths = c(x = 0))
Condition
  Error in `separate_wider_position()`:
  ! All values of `widths` must be positive.

separate_wider_regex() errors if match fails

Code
  df %>% separate_wider_regex(x, c(a = ".", "-", b = "\\d+"))
Condition
  Error in `separate_wider_regex()`:
  ! Expected each value of `x` to match the pattern, the whole pattern, and nothing but the pattern.
  ! 1 value has problem.
  i Use `too_few = "debug"` to diagnose the problem.
  i Use `too_few = "start"` to silence this message.

separate_wider_regex() can diagnose errors

Code
  out <- df %>% separate_wider_regex(x, c(a = "[a-z]", "-", b = "\\d+"), too_few = "debug")
Condition
  Warning:
  Debug mode activated: adding variables `x_ok`, `x_matches`, and `x_remainder`.

separate_wider_regex() gives informative error if () used

Code
  df %>% separate_wider_regex(x, c(`_` = "(.)"))
Condition
  Error in `separate_wider_regex()`:
  ! Invalid number of groups.
  i Did you use "()" instead of "(?:)" inside `patterns`?

separate_wider_regex() advises on outer / inner name duplication (#1425)

Code
  separate_wider_regex(df, y, patterns = c(x = ".", value = "."))
Condition
  Error in `separate_wider_regex()`:
  ! Can't duplicate names between the affected columns and the original data.
  x These names are duplicated:
    i `x`, from `y`.
  i Use `names_sep` to disambiguate using the column name.
  i Or use `names_repair` to specify a repair strategy.

separate_wider_regex() advises on inner / inner name duplication (#1425)

Code
  separate_wider_regex(df, c(x, y), patterns = c(gender = ".", value = "."))
Condition
  Error in `separate_wider_regex()`:
  ! Can't duplicate names within the affected columns.
  x These names are duplicated:
    i `gender`, within `x` and `y`.
    i `value`, within `x` and `y`.
  i Use `names_sep` to disambiguate using the column name.
  i Or use `names_repair` to specify a repair strategy.

separate_wider_regex() validates its inputs

Code
  df %>% separate_wider_regex()
Condition
  Error in `separate_wider_regex()`:
  ! `cols` is absent but must be supplied.
Code
  df %>% separate_wider_regex(x)
Condition
  Error in `separate_wider_regex()`:
  ! `patterns` must be a character vector, not absent.
Code
  df %>% separate_wider_regex(y, patterns = c(x = "-"))
Condition
  Error in `separate_wider_regex()`:
  ! Can't subset columns that don't exist.
  x Column `y` doesn't exist.
Code
  df %>% separate_wider_regex(x, patterns = ".")
Condition
  Error in `separate_wider_regex()`:
  ! `patterns` must be a named character vector.

tidyr documentation built on Feb. 16, 2023, 7:40 p.m.