I'm trying to read in all columns from a CSV as character type with either readr or vroom, as I need to wrangle data further. This post: https://github.com/tidyverse/readr/issues/148 is quite old and when I try col_types = cols(.default = "c")
, it seems to be ignored. Is there a simple approach to this now?
1 Like
That is still correct.
library(readr)
str(
read_csv(readr_example("mtcars.csv"), col_types = cols(.default = "c"))
)
#> tibble [32 × 11] (S3: spec_tbl_df/tbl_df/tbl/data.frame)
#> $ mpg : chr [1:32] "21" "21" "22.8" "21.4" ...
#> $ cyl : chr [1:32] "6" "6" "4" "6" ...
#> $ disp: chr [1:32] "160" "160" "108" "258" ...
#> $ hp : chr [1:32] "110" "110" "93" "110" ...
#> $ drat: chr [1:32] "3.9" "3.9" "3.85" "3.08" ...
#> $ wt : chr [1:32] "2.62" "2.875" "2.32" "3.215" ...
#> $ qsec: chr [1:32] "16.46" "17.02" "18.61" "19.44" ...
#> $ vs : chr [1:32] "0" "0" "1" "1" ...
#> $ am : chr [1:32] "1" "1" "1" "0" ...
#> $ gear: chr [1:32] "4" "4" "4" "3" ...
#> $ carb: chr [1:32] "4" "4" "1" "1" ...
#> - attr(*, "spec")=
#> .. cols(
#> .. .default = col_character(),
#> .. mpg = col_character(),
#> .. cyl = col_character(),
#> .. disp = col_character(),
#> .. hp = col_character(),
#> .. drat = col_character(),
#> .. wt = col_character(),
#> .. qsec = col_character(),
#> .. vs = col_character(),
#> .. am = col_character(),
#> .. gear = col_character(),
#> .. carb = col_character()
#> .. )
Created on 2020-10-13 by the reprex package (v0.3.0)
As you can see from above it is not ignored, could you show a more complete example, perhaps there is something else going on.
Yep apologies, embarrassing typo. Sometimes you need to step away for a bit.
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