I have the following data frame that looks like this (3 columns as list).
A tibble: 14 x 4
clinic_name drop_
Create a tibble containing list columns:
library(tibble)
clinic_name <- c('bobo center', 'yoyo plaza', 'lolo market')
drop_in_hours <- list(c("Monday: 2 pm - 5 pm", "Tuesday: 4 pm - 7 pm"))
appointment_hours <- list(c("Monday: 1 pm - 2 pm", "Tuesday: 2 pm - 3 pm"))
services <- list(c("skin graft", "chicken heart replacement"))
tibb <- data_frame(clinic_name, drop_in_hours, appointment_hours, services)
print(tibb)
Write a general-purpose function that converts any list columns to character type:
set_lists_to_chars <- function(x) {
if(class(x) == 'list') {
y <- paste(unlist(x[1]), sep='', collapse=', ')
} else {
y <- x
}
return(y)
}
Apply function to tibble with list columns:
new_frame <- data.frame(lapply(tibb, set_lists_to_chars), stringsAsFactors = F)
new_frame
Write newly formatted dataframe as csv file:
write.csv(new_frame, file='Desktop/clinics.csv')
This is a csv file with the list columns expanded as regular strings.
Here is an all-encompassing function. Just pass in your tibble and a filename:
tibble_with_lists_to_csv <- function(tibble_object, file_path_name) {
set_lists_to_chars <- function(x) {
if(class(x) == 'list') { y <- paste(unlist(x[1]), sep='', collapse=', ') } else { y <- x }
return(y) }
new_frame <- data.frame(lapply(tibble_object, set_lists_to_chars), stringsAsFactors = F)
write.csv(new_frame, file=file_path_name)
}
Usage:
tibble_with_lists_to_csv(tibb, '~/Desktop/tibb.csv')