Examine the column specifications for a data frame

cols_condense() takes a spec object and condenses its definition by setting the default column type to the most frequent type and only listing columns with a different type.

spec() extracts the full column specification from a tibble created by readr.

cols_condense(x)

spec(x)

Arguments

x	The data frame object to extract from

Value

A col_spec object.

Examples

df <- vroom(vroom_example("mtcars.csv"))
#> Rows: 32
#> Columns: 12
#> Delimiter: ","
#> chr [ 1]: model
#> dbl [11]: mpg, cyl, disp, hp, drat, wt, qsec, vs, am, gear, carb
#> 
#> Use `spec()` to retrieve the guessed column specification
#> Pass a specification to the `col_types` argument to quiet this message
s <- spec(df)
s
#> cols(
#>   model = col_character(),
#>   mpg = col_double(),
#>   cyl = col_double(),
#>   disp = col_double(),
#>   hp = col_double(),
#>   drat = col_double(),
#>   wt = col_double(),
#>   qsec = col_double(),
#>   vs = col_double(),
#>   am = col_double(),
#>   gear = col_double(),
#>   carb = col_double(),
#>   .delim = ","
#> )

cols_condense(s)
#> cols(
#>   .default = col_double(),
#>   model = col_character(),
#>   .delim = ","
#> )