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Parsing Binary files that contains BCD (Binary Coded Decimal) values using Python Numpy

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I have a binary file that has some fields encoded as BCD (Binary Coded Decimal). Example as below.

14 75 26 58 87 7F (Raw bytes in hex format).

I am using (np.void, 6) to read and convert from binary file and below is the output I am getting.

b'\x14\x75\x26\x58\x87\x7F'

But I would like to get the output as '14752658877', without the fill character 'F' using numpy.

Below is the code:with open (filename, "rb") as f:

    while True:        chunk = f.read(chunksize)        if (chunk):            dt = np.dtype([('a','b'), ('b', '>i4'), ('c', 'S15'),('d', np.str, 7),                                   ('e', 'S7'), ('f', np.void, 6)])            x = np.frombuffer (chunk, dtype=dt)            print (x)        else:            break

Also, the input file contains many fixed length binary records. What is the efficient way to convert and store it as ascii file using numpy.


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