HDF5-only data analysis

Galen implemented the ability to work from only hdf5 files (i.e., no LJH files), but some things may not work.

There is a new type TESGroupHDF5 that inherits from TESGroup. It has only one constructor, TESGroupHDF5(filename) where filename is the filename of the master hdf5 file. In a TESGroup you can get the filename by data.hdf5_file.filename. There a bit of extra work required to use hdf5 files from julia.

To do hdf5 file only with hdf5 files generated by python MASS do:

data = mass.TESGroupHDF5(filename)

To do hdf5 file only with hdf5 file generated by julia Mass2 do something like:

h5filenames = ['/Users/oneilg/.julia/v0.4/ReferenceMicrocalFiles/ljh/20150707_D_chan13.hdf5']
h5master_fname=mass.make_or_get_master_hdf5_from_julia_hdf5_file(h5filenames,forceNew=True)
data = mass.TESGroupHDF5(h5master_fname)

or

h5filenames = filter(path.isfile,map(mass.hdf5jl_name_from_ljh_name, pulse_files))
h5master_fname=mass.make_or_get_master_hdf5_from_julia_hdf5_file(h5filenames,forceNew=True)
data = mass.TESGroupHDF5(h5master_fname)

Obviously, if you have different hdf5 filenames than in the example, and especially if you have more than one, you will have to do a bit more work.