Export HDF5 tables to CSV files

h5_to_csv.py

"""Export HDF5 tables to csv files
"""
import argparse
import os
import pandas as pd

parser = argparse.ArgumentParser(description='Export HDF5 tables to csv files.')
parser.add_argument('-o', '--h5', dest='h5_path', required=True,
                    help='Path to HDF5 file.')
parser.add_argument('-d', '--csv', dest='csv_path', default='./',
                    help='Path where csv files will be stored (default: current path)')

# Parse arguments
args = parser.parse_args()

# Check if HDF5 file exists
if not os.path.isfile(args.h5_path):
    print 'ERROR: hdf5 file does not exists.'
    exit(-1)

# Open HDF5 file
store = pd.HDFStore(args.h5_path)
tables = store.keys()

# Check if destination path exists
if not os.path.isdir(args.csv_path):
    print 'ERROR: destination path does not exists.'
    exit(-1)

# Store tables as csv filesa
for table in tables:
    table_name = table.replace('/', '')
    store[table].to_csv(os.path.join(args.csv_path, table_name + '.csv'))

requirements.txt

pandas