It's actually possible to place pure Julia vectors in a DataFrame, which might
be convenient in this case. But you could always just store the columns in a
Vector{Any}, which is what the DataFrame does behind the scenes anyway.
-- John
On Apr 17, 2014, at 2:27 PM, Stefan Karpinski <[email protected]> wrote:
> A DataFrame does seem like a good option, but those have NA support that you
> may not need. Can you elaborate a little more on the use case? Is it a fixed
> set of column names and types? Or will you need to support different schemas?
>
>
> On Thu, Apr 17, 2014 at 5:16 PM, Stéphane Laurent <[email protected]>
> wrote:
> Hello,
>
> I need to deal with some objects represented as arrays whose some columns
> are BigFloat, some columns are Int, some columns are logical. Is it a good
> idea to use a DataFrame ? Is there a better solution ?This is for a
> computationally intensive program.
>
