Yes, you're right, that won't work. I got to thinking about this from this part of the DataFrames documentation: http://dataframesjl.readthedocs.org/en/latest/getting_started.html#the-dataframe-type
df = DataFrame(A = 1:4, B = ["M", "F", "F", "M"]) and this code df = DataFrame() df[:A] = 1:8 df[:B] = ["M", "F", "F", "M", "F", "M", "M", "F"] df If I already had arrays A and B (or an arbitrary number of them) it would be nice to be able to do df = DataFrame(A, B) and then df would have column names :A and :B. On Friday, July 3, 2015 at 7:24:55 PM UTC-5, Yichao Yu wrote: > > On Fri, Jul 3, 2015 at 8:21 PM, Kevin Owens <kevin....@gmail.com > <javascript:>> wrote: > > Gah, nevermind: > > > > function as_symbol(x) > > :(print(x)).args[2] > > end > > This is almost certainly not what you want unless you just want a > function that returns `:x`, in which case, you would be better off to > just return that. > > Can you elaborate on what exactly you would like to do? Depending on > what you really want, there are different ways to implement. > > > > > > > (using print() so that it works regardless of the type) > > > > > > On Friday, July 3, 2015 at 7:16:38 PM UTC-5, Kevin Owens wrote: > >> > >> Say you have an array > >> > >> x = rand(5) > >> > >> or just any variable > >> > >> y = "abc" > >> > >> How would I write a function that I would call like foo(x) and would > >> return the symbol :x? >
