yeah that's true! same for me. argh. alright. let me do exactly what you do in depracted.jl when you build that dataframe and i'll be back. gotta be that cols vector.
On 12 June 2014 16:39, John Myles White <[email protected]> wrote: > Actually, I think the problem is in your code right now. > > When I use your code, I hit the problem you’re seeing. But if I step > through it line-by-line, it doesn’t seem to happen. I suspect something > wacky is happening with type inference. > > — John > > On Jun 12, 2014, at 8:31 AM, Florian Oswald <[email protected]> > wrote: > > sure - any idea where should I look for this? I pretty much copied this > line > > > https://github.com/JuliaStats/DataFrames.jl/blob/master/src/deprecated.jl#L34 > > for my collectFields function. > > > > > On 12 June 2014 16:18, John Myles White <[email protected]> wrote: > >> Certainly seems like a bug. A PR fixing this would be very helpful. >> >> At some point I’d like to move the functions for converting Dict’s to >> DataFrames out of the DataFrames package since there’s so many ways to do >> it that it’s hard for me to keep track of them. >> >> — John >> >> On Jun 12, 2014, at 8:15 AM, Florian Oswald <[email protected]> >> wrote: >> >> Hi all, >> >> I found some strange behaviour and am trying to find out where I'm going >> wrong. I have a dict that stores several vectors of equal length, and I >> want to make a DataFrame from it, where the columns should have the names >> of the dict keys: >> >> using DataFrames >> >> function collectFields(dict::Dict) >> di_keys = collect(keys(dict)) >> cols = [ dict[k] for k in di_keys ] >> cnames = Array(Symbol,length(dict)) >> for i in 1:length(di_keys) >> cnames[i] = symbol(di_keys[i]) >> end >> return DataFrame(cols, cnames) >> end >> >> di = ["a"=>[1,3],"b"=>[0.0,1.0]] >> collectFields(di) >> >> This works as expected: >> >> collectFields(di) >> 2x2 DataFrame >> |-------|---|-----| >> | Row # | a | b | >> | 1 | 1 | 0.0 | >> | 2 | 3 | 1.0 | >> >> however, changing the type of the vectors in dict: >> >> di2 = ["a"=>[1,3],"b"=>[0,1]] >> >> >> julia> collectFields(di2) >> 2x2 DataFrame >> |-------|-------|----| >> | Row # | x1 | x2 | >> | 1 | [1,3] | a | >> | 2 | [0,1] | b | >> >> >> Any ideas? thanks! >> >> >> > >
