> a file contains a single column
Isn't a CSV file without commas just a file? In which case, wouldn't
it make more sense to do line-oriented IO?
readlines(csvfile)
On Sun, May 11, 2014 at 10:27 PM, Tim Holy <tim.h...@gmail.com> wrote:
> Yes, when reading data from files, where information about the object is
> encoded in the file, "type stability" kinda goes out the window. (We have the
> same issue with HDF5, of course.)
>
> So it's not an unreasonable request (although neither is the current
> behavior). You might consider giving it a stab yourself and see how people
> react to a pull request.
>
> --Tim
>
>
>
> On Sunday, May 11, 2014 03:00:10 PM Ethan Anderes wrote:
>> Thanks for the response. Still not sure I understand what you mean. readcsv
>> returns Array{T, 2} where T is determined form the file ... so the type of
>> the output does change based on the file. Since column vectors are thought
>> of as 1-d arrays in Julia I would have assumed the Julian way to load a
>> column is to return Array{T,1}. I was just suggesting that readcsv would
>> just return Array{T,d} where T and d are appropriately determined form the
>> file.
>>
>> Anyhoo, I guess there must be a reason it works the way it does but the
>> whole readcsv(...)[:] thing seemed an unnecessary overhead so I thought I
>> would check to see if I'm using the wrong command.
