Thanks, Johan. I have upgraded to 0.3 release candidate and see what you
mean about scalar multiplication not working for DataFrame any more. I see
also that DataArray successfully converts Integer to Float in the way John
was describing earlier, which solves the original problem.
Problem solved, thanks guys,
Bradley
On Monday, August 18, 2014 10:32:25 AM UTC-5, Johan Sigfrids wrote:
>
> Multiplying a DataFrame by a scalar has been deprecated and will not work
> once you update to Julia 0.3 and the associated DataFrames version.
>
> On Monday, August 18, 2014 6:10:44 PM UTC+3, Bradley Setzler wrote:
>>
>> Update: I found a 1-line command to convert everything in a DataFrame
>> into a Float that seems to work generally:
>>
>> data = data*1.0
>>
>> So, for example,
>> julia> A=DataFrame([1 2 ; 3 4])
>> 2x2 DataFrame:
>> x1 x2
>> [1,] 1 2
>> [2,] 3 4
>> julia> A=A*1.0
>> 2x2 DataFrame:
>> x1 x2
>> [1,] 1.0 2.0
>> [2,] 3.0 4.0
>>
>> Best,
>> Bradley
>>
>>
>>
>> On Monday, August 18, 2014 10:02:02 AM UTC-5, Bradley Setzler 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
>>>> >
>>>>
>>>>
