Hello, I want to be able to parse a binary file which hold information regarding to experiment configuration and data obviously. Both configuration and data sections are variable-length. A chuck this data is shown as below (after a binary read operation)
'\x00\...@\x00$\x00\x02\x00\x12\x00\xff\x00\x00\x00u\xaa\xfa\xffd\x00\x08\x00\x01\x00\x08\x00\xff\x00\x00\x00u\xaa\xfb\xffl\x00\xab\x00\x01\x00\xab\x00\xff\x00\x00\x00u\xaa\xe7\x03\x17\x01\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00u\xaa\xd9\x07\x04\x00\x02\x00\r\x00\x06\x00\x03\x00\x00\x00\x01\x00\x00\x00\xd9\x07\x04\x00\x02\x00\r\x00\x06\x00\x03\x00\x00\x00\x01\x00\x00\x00prj.300\x00; Version = 1\n', 'ProjectName = PME1 2009 King Air N825ST\n', 'FlightId = \n', 'AircraftType = WMI King Air 200\n', 'AircraftId = N825ST\n', 'OperatorName = Weather Modification Inc.\n', 'Comments = \n', '\x00\x00@ In binary form the file is 1.3MB, and when written to a txt file it expands to 3.7MB totalling approximately 4 million characters. When fully processed (with an IDL code) it produces 86 seperate configuration files, and 46 ascii files for data, about 10-15 different instruments and in various combinations plus sampling rates. I attemted to use RE module, however the time it takes parse the file is really longer than I expected. What would be wisest and fastest way to tackle this issue? Upon successful re-construction of the data and metadata, I am planning to use a much modular structure like HDF5 or netCDF4 for an easy data storage and analyses. Thank you. -- Gökhan
_______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion