I've apparently made some progress... the following code:
outDict = mapreduce(name -> Dict(string(name) =>
Array{typeof(obj.(name)), 1}()), merge, fieldNames)
produced all Array{Float64,1} arrays, and I'm still trying to figure out
why, as
typeDict = mapreduce(name -> Dict(string(name) => typeof(obj.(name))),
merge, fieldNames)
-> typeDict =
Dict("msgid"=>UInt32,"data"=>UInt64,"bufsize"=>UInt32,"timestamp"=>Float64)
shows the correct types.
On 12 April 2016 at 16:03, Dömötör Gulyás <[email protected]> wrote:
> Hi,
>
> in an attempt to export some data to Matlab that's an 'uint64' array, I
> discovered that apparently all arrays are written out as 'double', thus
> mangling my data. Is there a way to get the MAT package to respect data
> types when writing the .mat files? As an aside, I checked that reading back
> the .mat data in julia is mangled, thus confirming that it's not just
> Matlab having a fit.
>
> Thanks,
> Dömötör
>
