Hahaha, right, thanks!
On Sunday, October 12, 2014 3:10:56 PM UTC-4, John Myles White wrote:
>
> 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]
> <javascript:>> 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!
>
>
