[Python] How can extract data from .h5 file and save it in .txt or .csv properly?

After searching a lot I couldn't find a simple way to extract data from .h5 and pass it to a data.Frame by Numpy or Pandas in order to save in .txt or .csv file.

import h5py
import numpy as np
import pandas as pd

filename = 'D:\data.h5'
f = h5py.File(filename, 'r')

# List all groups
print("Keys: %s" % f.keys())
a_group_key = list(f.keys())[0]

# Get the data
data = list(f[a_group_key])
pd.DataFrame(data).to_csv("hi.csv")


Keys: <KeysViewHDF5 ['dd48']>


When I print data I see following results:

print(data)


['axis0',
'axis1',
'block0_items',
'block0_values',
'block1_items',
'block1_values']


I would appreciate the if someone explain me what are they and how I can extract data completely and save it in .csv file. It seems there hasn't been a routine way to do that and it's kind of challenging yet! Until now I just could see part of data via:

import numpy as np
dfm = np.fromfile('D:\data.h5', dtype=float)
print (dfm.shape)
print(dfm[5:])

dfm=pd.to_csv('train.csv')
#dfm.to_csv('hi.csv', sep=',', header=None, index=None)


My expectation is to extract time_stamps and measurements in .h5 file.

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