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.

See also

Other parsers: col_skip, cols, parse_datetime, parse_factor, parse_guess, parse_logical, parse_number, parse_vector

Examples

df <- read_csv(readr_example("mtcars.csv"))
#> Parsed with column specification:
#> cols(
#>   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()
#> )
s <- spec(df)
s
#> cols(
#>   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()
#> )

cols_condense(s)
#> cols(
#>   .default = col_double()
#> )