def readSLIST(filename, headonly=False, **kwargs): # @UnusedVariable """ Reads a ASCII SLIST file and returns an ObsPy Stream object. .. warning:: This function should NOT be called directly, it registers via the ObsPy :func:`~obspy.core.stream.read` function, call this instead. :type filename: str :param filename: ASCII file to be read. :type headonly: bool, optional :param headonly: If set to True, read only the head. This is most useful for scanning available data in huge (temporary) data sets. :rtype: :class:`~obspy.core.stream.Stream` :return: A ObsPy Stream object. .. rubric:: Example >>> from obspy import read >>> st = read('/path/to/slist.ascii') """ with open(filename, 'rt') as fh: # read file and split text into channels buf = [] key = False for line in fh: if line.isspace(): # blank line continue elif line.startswith('TIMESERIES'): # new header line key = True buf.append((line, StringIO())) elif headonly: # skip data for option headonly continue elif key: # data entry - may be written in multiple columns buf[-1][1].write(line.strip() + ' ') # create ObsPy stream object stream = Stream() for header, data in buf: # create Stats stats = Stats() parts = header.replace(',', '').split() temp = parts[1].split('_') stats.network = temp[0] stats.station = temp[1] stats.location = temp[2] stats.channel = temp[3] stats.sampling_rate = parts[4] # quality only used in MSEED stats.mseed = AttribDict({'dataquality': temp[4]}) stats.ascii = AttribDict({'unit': parts[-1]}) stats.starttime = UTCDateTime(parts[6]) stats.npts = parts[2] if headonly: # skip data stream.append(Trace(header=stats)) else: data = _parse_data(data, parts[8]) stream.append(Trace(data=data, header=stats)) return stream
def _read_tspair(filename, headonly=False, **kwargs): # @UnusedVariable """ Reads a ASCII TSPAIR file and returns an ObsPy Stream object. .. warning:: This function should NOT be called directly, it registers via the ObsPy :func:`~obspy.core.stream.read` function, call this instead. :type filename: str :param filename: ASCII file to be read. :type headonly: bool, optional :param headonly: If set to True, read only the headers. This is most useful for scanning available data in huge (temporary) data sets. :rtype: :class:`~obspy.core.stream.Stream` :return: A ObsPy Stream object. .. rubric:: Example >>> from obspy import read >>> st = read('/path/to/tspair.ascii') """ with open(filename, 'rt') as fh: # read file and split text into channels buf = [] key = False for line in fh: if line.isspace(): # blank line continue elif line.startswith('TIMESERIES'): # new header line key = True buf.append((line, io.StringIO())) elif headonly: # skip data for option headonly continue elif key: # data entry - may be written in multiple columns buf[-1][1].write(line.strip().split()[-1] + ' ') # create ObsPy stream object stream = Stream() for header, data in buf: # create Stats stats = Stats() parts = header.replace(',', '').split() temp = parts[1].split('_') stats.network = temp[0] stats.station = temp[1] stats.location = temp[2] stats.channel = temp[3] stats.sampling_rate = parts[4] # quality only used in MSEED # don't put blank quality code into 'mseed' dictionary # (quality code is mentioned as optional by format specs anyway) if temp[4]: stats.mseed = AttribDict({'dataquality': temp[4]}) stats.ascii = AttribDict({'unit': parts[-1]}) stats.starttime = UTCDateTime(parts[6]) stats.npts = parts[2] if headonly: # skip data stream.append(Trace(header=stats)) else: data = _parse_data(data, parts[8]) stream.append(Trace(data=data, header=stats)) return stream
def readSLIST(filename, headonly=False, **kwargs): # @UnusedVariable """ Reads a ASCII SLIST file and returns an ObsPy Stream object. .. warning:: This function should NOT be called directly, it registers via the ObsPy :func:`~obspy.core.stream.read` function, call this instead. :type filename: str :param filename: ASCII file to be read. :type headonly: bool, optional :param headonly: If set to True, read only the head. This is most useful for scanning available data in huge (temporary) data sets. :rtype: :class:`~obspy.core.stream.Stream` :return: A ObsPy Stream object. .. rubric:: Example >>> from obspy.core import read >>> st = read('/path/to/slist.ascii') """ fh = open(filename, 'rt') # read file and split text into channels headers = {} key = None for line in fh: if line.isspace(): # blank line continue elif line.startswith('TIMESERIES'): # new header line key = line headers[key] = StringIO() elif headonly: # skip data for option headonly continue elif key: # data entry - may be written in multiple columns headers[key].write(line.strip() + ' ') fh.close() # create ObsPy stream object stream = Stream() for header, data in headers.iteritems(): # create Stats stats = Stats() parts = header.replace(',', '').split() temp = parts[1].split('_') stats.network = temp[0] stats.station = temp[1] stats.location = temp[2] stats.channel = temp[3] stats.sampling_rate = parts[4] # quality only used in MSEED stats.mseed = AttribDict({'dataquality': temp[4]}) stats.ascii = AttribDict({'unit': parts[-1]}) stats.starttime = UTCDateTime(parts[6]) stats.npts = parts[2] if headonly: # skip data stream.append(Trace(header=stats)) else: # parse data data.seek(0) if parts[8] == 'INTEGER': data = loadtxt(data, dtype='int', ndlim=1) elif parts[8] == 'FLOAT': data = loadtxt(data, dtype='float32', ndlim=1) else: raise NotImplementedError stream.append(Trace(data=data, header=stats)) return stream
def readTSPAIR(filename, headonly=False, **kwargs): # @UnusedVariable """ Reads a ASCII TSPAIR file and returns an ObsPy Stream object. .. warning:: This function should NOT be called directly, it registers via the ObsPy :func:`~obspy.core.stream.read` function, call this instead. :type filename: str :param filename: ASCII file to be read. :type headonly: bool, optional :param headonly: If set to True, read only the headers. This is most useful for scanning available data in huge (temporary) data sets. :rtype: :class:`~obspy.core.stream.Stream` :return: A ObsPy Stream object. .. rubric:: Example >>> from obspy import read >>> st = read('/path/to/tspair.ascii') """ fh = open(filename, "rt") # read file and split text into channels headers = {} key = None for line in fh: if line.isspace(): # blank line continue elif line.startswith("TIMESERIES"): # new header line key = line headers[key] = StringIO() elif headonly: # skip data for option headonly continue elif key: # data entry - may be written in multiple columns headers[key].write(line.strip().split()[-1] + " ") fh.close() # create ObsPy stream object stream = Stream() for header, data in headers.iteritems(): # create Stats stats = Stats() parts = header.replace(",", "").split() temp = parts[1].split("_") stats.network = temp[0] stats.station = temp[1] stats.location = temp[2] stats.channel = temp[3] stats.sampling_rate = parts[4] # quality only used in MSEED stats.mseed = AttribDict({"dataquality": temp[4]}) stats.ascii = AttribDict({"unit": parts[-1]}) stats.starttime = UTCDateTime(parts[6]) stats.npts = parts[2] if headonly: # skip data stream.append(Trace(header=stats)) else: data = _parse_data(data, parts[8]) stream.append(Trace(data=data, header=stats)) return stream