import h5py as h5
from h5lib import h5dump, print_attrs

f = h5.File('example.h5')

print '\nHDF5 file \'example.h5\' just loaded:\n\n%r' % f
print '\nWe see that the file has been opened in read-mode, hence the \'mode +r\'...'

print '\nThe loaded .h5 file is of type...\n%s' % type(f)
print '\nLoaded file is of type \'File\'.'

h5dump(f)

print '\nStored groups and datasets within .h5 file:\n'.upper()
for each_item in f.items():
    print each_item

print '\nPrinting out all the keys in the imported hdf5 file.\n'
for n, each_key in enumerate(f.keys()):
    print 'Key %d:\t%s' % (n + 1, each_key)

print '\n'

print_attrs('Example SDS', f['Example SDS'])

print_attrs('MonthlyRain', f['MonthlyRain'])

print '''\n
Here, 
    - we see 'MonthlyRain' is a group belonging to the group 'Vgroup'.
    - ...also see there are 2 additional members (or subgroups) attached to 
      this group.
    - the subgroups can be accessed with the .keys() method.
\n'''

for n, each_key in enumerate(f['MonthlyRain']):
    print 'Key %d:\t%s' % (n+1, each_key)

print '''\n
We can check/confirm what object type each group/dataset is, by using the 'type()' 
function.\n
'''

print 'f[\'MonthlyRain\'] is a of type:\n\n%s\n' % type(f['MonthlyRain'])

print_attrs('Data Fields Metadata', f['MonthlyRain']['Data Fields'])

print '\nHere we see 2 members of the Data Fields group, so we can access \n\
additional fields with the .keys() method.\n'

print 'Additional groups/datasets:\n'
for n, each_key in enumerate(f['MonthlyRain']['Data Fields']):
    print 'Key %d:\t%s' % (n+1, each_key)

type(f['MonthlyRain']['Data Fields']['TbOceanRain'])

print '\n', f['MonthlyRain']['Data Fields']['TbOceanRain'].value