Use something like this:
julia> using DataFrames
julia> DataArray(Int, 10)
10-element DataArray{Int64,1}:
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
— John
On Oct 12, 2014, at 12:05 PM, Westley Hennigh <[email protected]> wrote:
> Suppose that I want to create a new column of integers, default them all to
> "not set" (in other words, NA), and then loop and initialize some of them
> later.
>
> I can't just `df[:C] = NA` because then I'll have a column that's an
> Array{NA,1}...
>
> So maybe I've got to do something like:
> df[:C] = fill!(Array(Any, size(df,1)), NA)
>
> But then I'm sort of breaking the DataFrame structure (as I understand it).
> Underneath, the DataFrame is suppose to be a nicely typed set of column
> arrays, with a separate set of columns that contain values that indicate when
> something is missing. What I just produced is a column with a very generic
> type where all values are set and some just happen to be the special NA value.
>
> Is there a better way to do this?
>
> On Friday, May 16, 2014 7:10:06 AM UTC-4, Jason Solack wrote:
> Thank you!
