Hacks with the HDF5 format using h5py

h5py.py

import h5py
import numpy as np

filename = 'filename.h5'
data     = h5py.File(filename)
nodes    = list(data.items())
data_path= '/a/b' #mention the node you are interested in

#Convert to .csv
filename_save = 'filename.csv'
np.savetxt(filename_save, data[data_path], delimiter=',')

numpy_save

import numpy as np

## Saves a .npy file
X       = np.ones((5,5))
y       = np.ones((3,3))
url_npz = 'data_npy/train_{0}'.format('%.5d' % (i))
np.savez_compressed(url_npz, X=X, Y=Y)