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In the simple example below, there is a difference between df01 and df02:
library(readr) set.seed(1234) n <- 1e3 dat <- data.frame(a=as.integer(sample(1:1000,n,replace=TRUE)), b=rnorm(n), c=sample(c("foo","bar","baz","qux","quux"),n,replace=TRUE), d=sample(c(TRUE,FALSE),n,replace=TRUE), stringsAsFactors=FALSE) write.csv(dat,"test.csv",row.names = FALSE) write_csv(dat,"test1.csv") df01 <- read_csv("test.csv") df02 <- read_csv("test1.csv")
The text was updated successfully, but these errors were encountered:
A some what smaller reproducible example:
input <- runif(100) output <- read_csv(write_csv(data.frame(input), ""))$input all.equal(input, output)
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20de5b5
Ooops, have now gone too far in the opposite direction.
Closed 0e4cc5e
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In the simple example below, there is a difference between df01 and df02:
The text was updated successfully, but these errors were encountered: