Classes and functions for GSSI file reading¶
Just define some classes and helper reader functions for gssi data
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class
pygssi.lib.gssi_filelib.DZT(header, sample)[source]¶ A DZT file
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samp¶ numpy.ndarray – An array containing the actual returns (not normalized, so won’t plot well as-is
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class
pygssi.lib.gssi_filelib.RH[source]¶ You probably need to read the GSSI docs on the c struct to understand this stuff
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pygssi.lib.gssi_filelib.check_headers(dzts)[source]¶ This function should check that the headers have the same number of channels, bytes, etc. and raise an exception if not
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pygssi.lib.gssi_filelib.get_dzg_data(fn, t_srs='sps', rev=False)[source]¶ Read GPS data associated with a GSSI sir4000 file.
Parameters: - fn (str) – A dzg file with ggis and gga strings.
- t_srs (str, optional) – Target coordinate reference. Default lat/lon (wgs84)
- rev (bool, optional) – Reverse the points in this file (used for concatenating radar files). Default False.
Returns: data
Return type:
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pygssi.lib.gssi_filelib.read(fns, revs, pickle_fn=None, elev_fn=None, t_srs='sps', cache=False)[source]¶ Read in files (and try to get their GPS info too)
Parameters: - fns (iterable) – The files to read
- revs (iterable) – Reverse each file? (must be same length as fns)
- pickle_fn (str, optional) – Try to load pre-packaged results from this filename
- elev_fn (str, optional) – Load kinematic GPS data from this matlab file so that you don’t use the crappy ones from the GPS on the radar
- t_srs (str, optional) – Load things into this projection (can convert to sps/EPSG:3031 or nps/EPSG:3413 from wgs84
- cache (bool, optional) – pickle results for future use
Returns: gps_data – GPS data for each of the input files
Return type: list of
NMEA