I know the feeling, i get around hard to remember things like this by creating a snippet for it in Sublime text... that way I at least have a place to go to find them!
On Thursday, March 13, 2014 4:13:45 AM UTC-4, David van Leeuwen wrote: > > Hi, > > I've run into this and similar things many times, and somehow each time it > takes me a lot of time to come up with such a solution again. Don't ask me > why I can't remember this, I must be getting old. Would it make sense to > define a > > string(da::DataArray) > > to do just that, within DataArrays.jl? > > On Wednesday, March 12, 2014 6:06:59 PM UTC+1, Jason Solack wrote: >> >> that worked, thank you very much >> >> On Tuesday, March 11, 2014 9:51:49 PM UTC-4, John Myles White wrote: >>> >>> Here's one way to do that: UTF8String[string(x) for x in df[:A]] >>> >>> -- John >>> >>> On Mar 11, 2014, at 6:48 PM, Jason Solack <jays...@gmail.com> wrote: >>> >>> > no, i'm sorry. I have a vector that's eltype is Float64, it has >>> values that i'd like to replace with the words that describe their values. >>> right now when assigning them i'm getting errors since it's type is Float >>> and it needs to be string. >>> > >>> > so i'd like to convert the first column in the dataframe to an eltype >>> of string so i can replace the numeric values with strings >>> > >>> > On Tuesday, March 11, 2014 9:37:56 PM UTC-4, John Myles White wrote: >>> > I'm not totally sure what you mean. A column of a DataFrame is a >>> vector, so one natural way to convert the column to a string would be to >>> join all of the entries using join: >>> > >>> > using DataFrames >>> > df = DataFrame(A = 1:10) >>> > join(df[:A], "::") >>> > >>> > Is that what you're looking for? >>> > >>> > -- John >>> > >>> > On Mar 11, 2014, at 6:35 PM, Jason Solack <jays...@gmail.com> wrote: >>> > >>> > > So this seems like silly question, but i'm looking to convert a >>> column in a dataframe to a string and I don't see how to do that. >>> > > >>> > > Any help? >>> > > >>> > > Thank you! >>> > > >>> > > Jason >>> > >>> >>>
