How do I read multiple H5 files using Python

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Python2.7

I have some 19 hdf5 files(Remote sensing data). i read all of them separately and then i created a data matrix,say buy compiling band 1 from every h5 files and so on. But i did all these manually and now i need a full length program which does everything automatically.

#SND_MWIR1 is a particular band count data, it is a 3D array. I created a 2D array rom each of them. and then made a dictionary out of them.

What I have tried:

import h5py
import numpy as np
import math
import matplotlib.pylab as plt

f = h5py.File("3DSND_12MAY2016_0000_L1B_SA1.h5","r")
ls = list(f.keys())

f1 = h5py.File("3DSND_12MAY2016_0100_L1B_SA1.h5", "r")
ls1 = list(f1.keys())

f2 = h5py.File("3DSND_12MAY2016_0200_L1B_SA1.h5", "r")
ls2 = list(f2.keys())

f3 = h5py.File("3DSND_12MAY2016_0300_L1B_SA1.h5", "r")
ls3 = list(f3.keys())

f4 = h5py.File("3DSND_12MAY2016_0500_L1B_SA1.h5", "r")
ls4 = list(f4.keys())

f5 = h5py.File("3DSND_12MAY2016_0600_L1B_SA1.h5", "r")
ls5 = list(f5.keys())

A = np.array(f1['SND_MWIR1'])[0]
A1 = np.array(f2['SND_MWIR1'])[0]
A2 = np.array(f3['SND_MWIR1'])[0]
A3 = np.array(f4['SND_MWIR1'])[0]
A4 = np.array(f5['SND_MWIR1'])[0]
A5 = np.array(f6['SND_MWIR1'])[0] #SND_MWIR1 is a particular band count data

dict0 = {1:A}
dict1 = {2:A1}
dict2 = {3:A2}
dict3 = {4:A3}
dict4 = {5:A4}
dict5 = {6:A5}

dict_MWIR1 = {}
for d in (dict0, dict1, dict2, dict3, dict4, dict5): dict_MWIR1.update(d)
print dict_MWIR1[1][0][1]