How to globally convert NaN to NA in dataframe?
Hello,
I would use something like:
x <- c(1:5, NaN) |> sample(100, replace = TRUE) |> matrix(10, 10) |>
as.data.frame()
x[] <- lapply(x, function(xx) {
xx[is.nan(xx)] <- NA_real_
xx
})
This prevents attributes from being changed in 'x', but accomplishes the
same thing as you have above, I hope this helps!
On Thu, Sep 2, 2021 at 9:19 AM Luigi Marongiu <marongiu.luigi at gmail.com>
wrote:
Hello, I have some NaN values in some elements of a dataframe that I would like to convert to NA. The command `df1$col[is.nan(df1$col)]<-NA` allows to work column-wise. Is there an alternative for the global modification at once of all instances? I have seen from https://stackoverflow.com/questions/18142117/how-to-replace-nan-value-with-zero-in-a-huge-data-frame/18143097#18143097 that once could use: ``` is.nan.data.frame <- function(x) do.call(cbind, lapply(x, is.nan)) data123[is.nan(data123)] <- 0 ``` replacing o with NA, but I got ``` str(df)
logi NA
``` when modifying my dataframe df. What would be the correct syntax? Thank you -- Best regards, Luigi
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