Revision 8b7a963110a428ecd7572dc2db64c84f9e0fd04b authored by Zhang Yunjun on 05 March 2019, 20:28:43 UTC, committed by Zhang Yunjun on 05 March 2019, 20:28:43 UTC
1 parent d2e1acc
load_hdf5.py
#!/usr/bin/env python3
############################################################
# Program is part of PySAR #
# Copyright(c) 2018, Zhang Yunjun #
# Author: Zhang Yunjun #
############################################################
import os
import argparse
import numpy as np
from pysar.utils import readfile, writefile, utils as ut
############################################################
EXAMPLE = """example:
load2hdf5.py SanAndreas.dem --data-type float32 -o demGeo.h5
load2hdf5.py geomap_4rlks.trans -o geometryGeo.h5
load2hdf5.py filt_fine_101120-110220.unw -o 20101120_20110220_unw.h5
"""
def create_parser():
parser = argparse.ArgumentParser(description='Load binary data file(s) into an HDF5 file.',
formatter_class=argparse.RawTextHelpFormatter,
epilog=EXAMPLE)
parser.add_argument('file', help='file to be loaded.')
parser.add_argument('-o', '--output', dest='outfile',
help='output HDF5 file name')
parser.add_argument('--data-type', dest='data_type', help='output data type')
return parser
def cmd_line_parse(iargs=None):
parser = create_parser()
inps = parser.parse_args(args=iargs)
return inps
############################################################
def main(iargs=None):
inps = cmd_line_parse(iargs)
if not inps.outfile:
inps.outfile = os.path.splitext(inps.file)[0]+'.h5'
if inps.data_type:
if inps.data_type in ['float', 'float32', 'np.float32']:
inps.data_type = np.float32
elif inps.data_type in ['float64', 'np.float64']:
inps.data_type = np.float64
elif inps.data_type in ['int', 'int16', 'np.int16']:
inps.data_type = np.int16
elif inps.data_type in ['bool', 'np.bool_']:
inps.data_type = np.bool_
elif inps.data_type in ['complex', 'np.complex64']:
inps.data_type = np.complex64
elif inps.data_type in ['complex128', 'np.complex128']:
inps.data_type = np.complex128
else:
raise ValueError('un-recognized input data type: {}'.format(inps.data_type))
atr = readfile.read_attribute(inps.file)
dsNames = readfile.get_dataset_list(inps.file)
dsDict = {}
for dsName in dsNames:
data = readfile.read(inps.file, datasetName=dsName)[0]
if inps.data_type:
data = np.array(data, inps.data_type)
dsDict[dsName] = data
writefile.write(dsDict, out_file=inps.outfile, metadata=atr)
return inps.outfile
############################################################
if __name__ == '__main__':
main()
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