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Hello, thanks for this package. Currently any NA values in a data frame are written to excel as blank cells. This is not always the desired behavior. Would it be possible to add a parameter such as na_value, that would for example allow the Excel file to display NAs as a customized value? e.g. na_value="Not available". This is difficult to do in R when the column type is numeric for example. However, Excel columns can have both numeric and string values. thank you very much.
The text was updated successfully, but these errors were encountered:
This is difficult to do in R when the column type is numeric for example.
What about converting the column to character before writing it to xlsx? Like so:
# Example datadf<-data.frame(x=c(1,2,NA,4))
# Convert x to characterdf$x<- as.character(df$x)
df$x[is.na(df$x)] <-"Not available"# Write to excelwritexl::write_xlsx(df, 'test.xlsx')
Thank you, yes, indeed, this is what I have been doing, but it would be nice to be able to do it from the call in write_xlsx so user doesn't have to modify the original data frame.
What if you still want to use the numeric attributes of the df? then you have to make a copy just for writing to excel. read_xlsx has the nice parameter (na = "") which allows you to interpret values that are being read as NAs. It would be great if analogous to that write_xlsx also had a (na="") parameter. This allows for cleaner scripting. thanks!
Hello, thanks for this package. Currently any NA values in a data frame are written to excel as blank cells. This is not always the desired behavior. Would it be possible to add a parameter such as na_value, that would for example allow the Excel file to display NAs as a customized value? e.g. na_value="Not available". This is difficult to do in R when the column type is numeric for example. However, Excel columns can have both numeric and string values. thank you very much.
The text was updated successfully, but these errors were encountered: