octave:1> a = rand(10,10)
a =
0.859429 0.895490 0.366489 0.209172 0.115529 0.212583 0.346897 0.737492 0.520998 0.765509
0.458690 0.832058 0.600122 0.703332 0.339640 0.579577 0.330600 0.228996 0.669966 0.292111
0.690453 0.306055 0.040796 0.379313 0.295865 0.064997 0.925082 0.709484 0.145930 0.787097
0.995525 0.717836 0.641777 0.189449 0.610176 0.976574 0.316809 0.709783 0.588515 0.694197
0.578332 0.285901 0.989679 0.834628 0.914659 0.033759 0.798227 0.715250 0.171039 0.617217
0.201751 0.233143 0.055314 0.182800 0.021884 0.305863 0.161870 0.467997 0.625401 0.504653
0.979039 0.182347 0.284751 0.144414 0.871048 0.327347 0.135534 0.687959 0.118036 0.771967
0.656888 0.463329 0.373998 0.176467 0.169954 0.812317 0.940715 0.471986 0.513240 0.363201
0.923390 0.520225 0.859957 0.084463 0.650109 0.563110 0.085505 0.661934 0.590937 0.353477
0.011857 0.850067 0.612539 0.618590 0.286480 0.844025 0.427313 0.112950 0.688636 0.364019
octave:2> save("-hdf5", 'test.h5')
from tables import *
import numpy as np
In [10]: h5file = openFile('test.h5', mode='r')
In[27]: np.array(h5file.getNode('/a/value'))
Out[27]:
array([[ 0.85942853, 0.45869015, 0.69045291, 0.9955255 , 0.57833199,
0.20175055, 0.97903879, 0.65688757, 0.92339013, 0.01185726],
[ 0.89548958, 0.83205841, 0.30605546, 0.71783626, 0.28590104,
0.2331425 , 0.18234741, 0.46332915, 0.52022491, 0.85006653],
[ 0.3664888 , 0.60012242, 0.04079594, 0.64177667, 0.98967891,
0.05531351, 0.28475066, 0.37399819, 0.8599565 , 0.61253857],
[ 0.2091725 , 0.70333161, 0.37931316, 0.18944913, 0.83462842,
0.18280043, 0.14441352, 0.1764671 , 0.08446347, 0.61859039],
[ 0.11552948, 0.33963994, 0.29586523, 0.6101756 , 0.91465903,
0.02188408, 0.87104812, 0.16995431, 0.65010927, 0.28648005],
[ 0.21258272, 0.57957659, 0.06499659, 0.97657428, 0.03375861,
0.30586279, 0.32734666, 0.81231662, 0.56311025, 0.8440249 ],
[ 0.34689707, 0.33059982, 0.92508155, 0.31680851, 0.79822683,
0.16187031, 0.13553413, 0.94071459, 0.08550529, 0.42731278],
[ 0.73749221, 0.22899569, 0.70948351, 0.7097833 , 0.71525036,
0.4679971 , 0.6879589 , 0.47198606, 0.66193417, 0.11295035],
[ 0.52099847, 0.66996573, 0.14593022, 0.58851511, 0.17103871,
0.62540062, 0.11803642, 0.51324018, 0.59093715, 0.68863624],
[ 0.76550949, 0.29211147, 0.78709733, 0.69419733, 0.61721683,
0.50465322, 0.77196659, 0.3632014 , 0.35347675, 0.36401924]])
In [28]: s2 = openFile('test2.h5', mode='w')
In [29]: s2.createArray(s2.root,'a', np.random.randn(10,10))
Out[29]:
/a (Array(10, 10)) ''
atom := Float64Atom(shape=(), dflt=0.0)
maindim := 0
flavor := 'numpy'
byteorder := 'little'
chunkshape := None
In [30]: s2.close()
octave:1> load 'test2.h5'
octave:2> a
a =
0.7131209 -2.1341231 1.2262886 -1.2291569 -0.2285198 -0.4324507 0.2445414 0.8702512 0.4899783 -1.2861712
1.3053592 -1.5935487 -0.2166692 -0.9083949 -0.1680680 -0.2283791 0.2474000 1.0191515 0.0813963 -1.3614287
-0.7396352 -1.3789601 -0.2585963 -0.2461638 -0.2263464 -0.0730651 -0.7571070 0.8451095 -2.9420820 -0.6064189
0.1768817 -0.2709983 0.8999636 0.2608454 1.2002653 -1.3739324 -0.1487325 0.1581497 0.5541764 -0.2338047
-0.3878351 1.0805891 -0.2784655 -0.2252829 0.1414650 -1.0420837 2.0748913 -2.8347940 1.7320956 -0.9222796
1.2738671 -0.7286286 -0.6598480 -2.2519772 -0.7001558 0.1603010 -0.5332355 -0.0500654 0.3594471 -0.6885272
-0.4748571 -1.1039091 -0.2261936 0.7115729 0.3370656 1.3467805 -0.8753468 -0.3203379 0.8127135 1.1378636
0.4688077 -0.1723309 0.0071681 0.3727903 0.5151999 -0.4269389 0.3310272 0.5319466 -0.9313046 0.6295486
0.4547873 -1.4798898 -1.5841713 0.2594823 -1.2110460 0.8441917 -1.8153448 -1.4499722 -0.1499643 1.5062362
0.0452690 0.0450779 0.1782524 0.3836340 -1.0348064 -2.9670641 0.7806250 -0.8790209 -0.9783835 0.0262051
