Ann*_*Ann 5 r list dplyr tidyverse
我有以下数据框,看起来像这样(3列作为列表)。
A tibble: 14 x 4
clinic_name drop_in_hours appointment_hours services
<chr> <list> <list> <list>
1 Birth Control and Sexual Health Centre <list [1]> <list [1]> <list [1]>
2 Black Creek Community Health Centre (Sheridan Mall Site) <list [1]> <list [1]> <list [1]>
3 Black Creek Community Health Centre (Yorkgate mall Site) <list [1]> <list [1]> <list [1]>
4 Crossways Clinic <list [1]> <list [1]> <list [1]>
5 Hassle Free Clinic <list [1]> <list [1]> <list [1]>
6 Immigrant Women's Health Center <list [1]> <list [1]> <list [1]>
7 Rexdale Community Health Center <list [1]> <list [1]> <list [1]>
8 Rexdale Youth Resource Center <list [1]> <list [1]> <list [1]>
9 Scarborough Sexual Health Clinic <list [1]> <list [1]> <list [1]>
10 Special Treatment Clinic <list [1]> <list [1]> <list [1]>
11 Taibu Community Health Center <list [1]> <list [1]> <list [1]>
12 The Gate <list [1]> <list [1]> <list [1]>
13 The Jane Street Clinic <list [1]> <list [1]> <list [1]>
14 The Talk Shop <list [1]> <list [1]> <list [1]>
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我想将其输出为csv文件。引起我注意的是,数据帧的列不应该是R中的列表。所以我做了一些google,发现它用list-column保存了data.frames,所以我尝试了一下:
library(tidyverse)
df %>%
mutate(drop_in_hours = map_chr(drop_in_hours, ~ capture.output(dput(.))),
appointment_hours = map_chr(appointment_hours, ~ capture.output(dput(.))),
services = map_chr(services, ~ capture.output(dput(.))) ) %>%
write_csv("health.csv")
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但是我出错了,我在这里错过了什么吗?
Error in mutate_impl(.data, dots) :
Evaluation error: Result 4 is not a length 1 atomic vector
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。
sbh*_*bha 14
这是另一个可能更简单的选项。
根据数据的不同,逗号分隔的值可能会变得复杂,因此我使用栏|来分隔列表列中的值:
library(tidyverse)
starwars %>%
rowwise() %>%
mutate_if(is.list, ~paste(unlist(.), collapse = '|')) %>%
write.csv('df_starwars.csv', row.names = FALSE)
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starwars是示例数据帧之一dplyr。
创建一个包含列表列的标题:
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)
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编写将所有列表列转换为字符类型的通用函数:
set_lists_to_chars <- function(x) {
if(class(x) == 'list') {
y <- paste(unlist(x[1]), sep='', collapse=', ')
} else {
y <- x
}
return(y)
}
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将函数应用于带有列表列的小标题:
new_frame <- data.frame(lapply(tibb, set_lists_to_chars), stringsAsFactors = F)
new_frame
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将新格式化的数据帧写入csv文件:
write.csv(new_frame, file='Desktop/clinics.csv')
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这是一个csv文件,列表列扩展为常规字符串。
这是一个无所不包的功能。只需传递您的小标题和文件名即可:
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)
}
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用法:
tibble_with_lists_to_csv(tibb, '~/Desktop/tibb.csv')
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