Use purrr to make many single one-row tibbles from a larger tibble

[libjohn]

I want to slice a n row tibble and make n single one-row tibbles, one tibble for each row. Following that I want to use googlesheets4 to create a new google spreadsheet for each one-row tibble, and use a variable from each tibble row for the google spreadsheet name. Seems like I should use purrr for these steps, but I've thought myself into a circle and could use some tips/help.

In long form this might look like:

library(tidyverse)

mick_df <- band_members %>% 
    slice(n = 1)

john_df <- band_members %>% 
    slice(n = 2)

paul_df <- band_members %>% 
    slice(n = 3)

googlesheets4::gs4_create("mick", sheets = list(sname = mick_df))
googlesheets4::gs4_create("john", sheets = list(sname = john_df))
googlesheets4::gs4_create("paul", sheets = list(sname = paul_df))

[nirgrahamuk]

library(tidyverse)
library(googlesheets4)

# either
(mem_list <- band_members %>% rowwise() %>%
  group_map(tibble))

walk(
  mem_list,
  ~ gs4_create(.$name,
    sheets = list(sname = .))
)

# or
walk(
  seq_len(nrow(band_members)),
  ~ {
    f <- slice(band_members, .)
    gs4_create(f$name,
      sheets = list(sname = f))
  }
)

[libjohn]

@nirgrahamuk

(mem_list <- band_members %>% rowwise() %>%
  group_map(tibble))

walk(
  mem_list,
  ~ gs4_create(.$name,
    sheets = list(sname = .))
)

Many thanks @nirgrahamuk. I learned some new dplyr functions as well. Appreciated!!