What versions are you using? This was a bug, but I think it’s been fixed on 0.3 for some time.
— John On Aug 18, 2014, at 8:02 AM, Bradley Setzler <[email protected]> wrote: > Hi John, > > Thanks for your reply, I'm getting the following: > > julia> A=DataArray([1 2; 3 4]) > 2x2 DataArray{Int64,2}: > 1 2 > 3 4 > julia> A*.5 > 2x2 DataArray{Float64,2}: > 0.5 1.0 > 1.5 2.0 > julia> A/2. > 2x2 DataArray{Float64,2}: > 0.5 1.0 > 1.5 2.0 > julia> A/2 > InexactError() > > So it converts to Float if divided by Float, but does not convert if divided > by Integer. > > Best, > Bradley > > > > On Monday, August 18, 2014 9:31:43 AM UTC-5, John Myles White wrote: > Hi Bradley, > > Would you consider using DataArrays for this? DataFrames no longer support > these operations, so any upgrade in your setup would turn all of this code > into errors. > > All of these operations work on DataArrays already. > > — John > > On Aug 18, 2014, at 7:28 AM, Bradley Setzler <[email protected]> wrote: > > > > > > > Good morning, > > > > I am looking for a simple way to convert an Integer DataFrame to a Float > > DataFrame. Here is an example of the problem: > > > > julia> using DataFrames > > julia> A=DataFrame([1 2; 3 4]) > > 2x2 DataFrame: > > x1 x2 > > [1,] 1 2 > > [2,] 3 4 > > > > With multiplication, there is no problem automatically converting to Float: > > > > julia> A*.5 > > 2x2 DataFrame: > > x1 x2 > > [1,] 0.5 1.0 > > [2,] 1.5 2.0 > > > > But with division, for example, the conversion fails: > > > > julia> A/2 > > InexactError() > > > > Ideally, there would be a one-line command so that we don't have to worry > > about this issue, say DataFloat() of the form: > > > > julia> A=DataFloat(A) > > 2x2 DataFrame: > > x1 x2 > > [1,] 1.0 2.0 > > [2,] 3.0 4.0 > > > > Does something like this exist? > > > > Thanks, > > Bradley > > >
