Hey Andre, Unfortunately there's nothing currently that would make this very easy. I'm actually in the middle of a big rewrite of the Datetime.jl package that will, among other things, include the possibility of handling something like this, but it's at least a few weeks away of anything practical in this case. Sorry to not be more help!
You may consider truncating to millisecond precision, or another option would be to look into calling numpy through Pycall, which supports microsecond precision (so it seems from their docs). Numpy: http://docs.scipy.org/doc/numpy/reference/arrays.datetime.html PyCall: https://github.com/stevengj/PyCall.jl -Jacob On Thu, May 8, 2014 at 12:48 AM, Andre P. <apemmel...@gmail.com> wrote: > I have just started using Julia. I have a csv data files that use > microsecond fidelity time stamps > > ex: 2013-10-20T23:00:00.036928Z > > I would like to import these into Julia, but I haven't been able to find > any documentation on using Datetime types with anything beyond millisecond > fidelity. > Is there a way to do this? > > Andre > > >
