Read HDF5 data with numpy axis order with Julia HDF5 -


i have hdf5 file containing arrays saved python/numpy. when read them julia using hdf5.jl, axes in reverse of order in appear in python. reduce mental gymnastics involved in moving between python , julia codebases, reverse axis order when read data julia. have written own function this:

function reversedims(ary::array)   permutedims(ary, [ ndims(ary):-1:1 ]) end  data = hdf5.read(someh5file, somekey) |> reversedims

this not ideal because (1) have import reversedims use this; (2) have remember each array read. wondering if possible either:

  • instruct hdf5.jl read in arrays numpy-style axis order, either through keyword argument or kind of global configuration parameter
  • use builtin single argument function reverse axes

the best approach create h5py.jl package, modeled on mat.jl (which reads , writes .mat files created matlab). see https://github.com/timholy/hdf5.jl/issues/180.


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