Reputation: 3502
I have a dataframe that has 1000
columns and 24729
rows.
I need to save it as several csv files (for example 10) split based on the number of rows.
I have checked many questions and most of them are for data.frames that can be split using levels of a factor. I could not find any examples that can be done based on number of rows.
I did a number of trials but none of them worked.
How would you save diamonds
as 10 csv files split based on the number of rows?
library(ggplot)
df = diamonds
Upvotes: 1
Views: 740
Reputation: 5456
The following writes 10 csv's to your working directory:
library(tidyverse)
df = diamonds
SPLITS <- 10
tmp <- sort(rep(seq_len(SPLITS), length.out = nrow(df)))
iwalk(split(df, tmp), ~write_csv(.x, str_c(str_c(getwd(), "/", .y, ".CSV"))))
Upvotes: 2