[add] check for gaps and trim traces for one station
[change] restitute data only if necessary!
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@ -73,7 +73,7 @@ from pylot.core.util.errors import FormatError, DatastructureError, \
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from pylot.core.util.connection import checkurl
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from pylot.core.util.dataprocessing import read_metadata, restitute_data
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from pylot.core.util.utils import fnConstructor, getLogin, \
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full_range, readFilterInformation
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full_range, readFilterInformation, trim_station_components, check4gaps
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from pylot.core.util.event import Event
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from pylot.core.io.location import create_creation_info, create_event
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from pylot.core.util.widgets import FilterOptionsDialog, NewEventDlg, \
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@ -1365,6 +1365,10 @@ class MainWindow(QMainWindow):
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# ans = False
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self.fnames = self.getWFFnames_from_eventbox()
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self.data.setWFData(self.fnames)
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wfdat = self.data.getWFData() # all available streams
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check4gaps(wfdat)
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# trim station components to same start value
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trim_station_components(wfdat, trim_start=True, trim_end=False)
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self._stime = full_range(self.get_data().getWFData())[0]
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def connectWFplotEvents(self):
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10
autoPyLoT.py
10
autoPyLoT.py
@ -22,12 +22,11 @@ from pylot.core.analysis.magnitude import MomentMagnitude, LocalMagnitude
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from pylot.core.io.data import Data
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from pylot.core.io.inputs import PylotParameter
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from pylot.core.pick.autopick import autopickevent, iteratepicker
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from pylot.core.util.dataprocessing import restitute_data, read_metadata, \
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remove_underscores
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from pylot.core.util.dataprocessing import restitute_data, read_metadata
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from pylot.core.util.defaults import SEPARATOR
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from pylot.core.util.event import Event
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from pylot.core.util.structure import DATASTRUCTURE
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from pylot.core.util.utils import real_None
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from pylot.core.util.utils import real_None, remove_underscores, trim_station_components, check4gaps
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from pylot.core.util.version import get_git_version as _getVersionString
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__version__ = _getVersionString()
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@ -239,7 +238,12 @@ def autoPyLoT(input_dict=None, parameter=None, inputfile=None, fnames=None, even
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print('Could not find station {}. STOP!'.format(station))
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return
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wfdat = remove_underscores(wfdat)
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# trim components for each station to avoid problems with different trace starttimes for one station
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wfdat = check4gaps(wfdat)
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wfdat = trim_station_components(wfdat, trim_start=True, trim_end=False)
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metadata = read_metadata(parameter.get('invdir'))
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corr_dat = None
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if locflag:
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print("Restitute data ...")
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corr_dat = restitute_data(wfdat.copy(), *metadata, ncores=ncores)
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if not corr_dat and locflag:
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@ -197,6 +197,7 @@ def autopickstation(wfstream, pickparam, verbose=False,
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if len(ndat) == 0: # check for other components
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ndat = wfstream.select(component="1")
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wfstart, wfend = full_range(wfstream)
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if algoP == 'HOS' or algoP == 'ARZ' and zdat is not None:
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@ -470,6 +470,61 @@ def remove_underscores(data):
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return data
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def trim_station_components(data, trim_start=True, trim_end=True):
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'''
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cut a stream so only the part common to all three traces is kept to avoid dealing with offsets
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:param data: stream of seismic data
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:type data: `obspy.core.stream.Stream`
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:param trim_start: trim start of stream
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:type trim_start: bool
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:param trim_end: trim end of stream
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:type trim_end: bool
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:return: data stream
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'''
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starttime = {False: None}
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endtime = {False: None}
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stations = get_stations(data)
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print('trim_station_components: Will trim stream for trim_start: {} and for '
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'trim_end: {}.'.format(trim_start, trim_end))
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for station in stations:
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wf_station = data.select(station=station)
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starttime[True] = max([trace.stats.starttime for trace in wf_station])
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endtime[True] = min([trace.stats.endtime for trace in wf_station])
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wf_station.trim(starttime=starttime[trim_start], endtime=endtime[trim_end])
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return data
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def check4gaps(data):
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'''
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check for gaps in Stream and remove them
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:param data: stream of seismic data
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:return: data stream
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'''
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stations = get_stations(data)
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for station in stations:
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wf_station = data.select(station=station)
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if wf_station.get_gaps():
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for trace in wf_station:
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data.remove(trace)
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print('check4gaps: Found gaps and removed station {} from waveform data.'.format(station))
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return data
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def get_stations(data):
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stations = []
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for tr in data:
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station = tr.stats.station
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if not station in stations:
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stations.append(station)
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return stations
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def scaleWFData(data, factor=None, components='all'):
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"""
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produce scaled waveforms from given waveform data and a scaling factor,
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