I am looking to remove nested list columns from a tibble with lists. For example in the list below I want to remove "affected_rows" without specifically referencing the column name. How would i best approach this?
my_list <- list(
a =
tibble(
code = c("ax","yz"),
affected_rows =
c(list(1:10),list(200))
),
b =
tibble(
workid = c("123","456"),
sheet = c("sheet1", "sheet2")
)
)
Another possible solution:
library(tidyverse)
map(my_list, ~ .x %>% mutate(across(where(is.list), as.null)))
#> $a
#> # A tibble: 2 × 1
#> code
#> <chr>
#> 1 ax
#> 2 yz
#>
#> $b
#> # A tibble: 2 × 2
#> workid sheet
#> <chr> <chr>
#> 1 123 sheet1
#> 2 456 sheet2