debugged some code fragments while trying to solve the load event data problem
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commit
2b42583999
39
QtPyLoT.py
39
QtPyLoT.py
@ -36,7 +36,7 @@ from PySide.QtGui import QMainWindow, QInputDialog, QIcon, QFileDialog, \
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QDialog, QErrorMessage, QApplication, QPixmap, QMessageBox, QSplashScreen, \
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QActionGroup, QListWidget, QDockWidget
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import numpy as np
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from obspy.core import UTCDateTime
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from obspy import UTCDateTime, readEvents
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from pylot.core.read.data import Data
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from pylot.core.read.inputs import FilterOptions, AutoPickParameter
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@ -339,6 +339,8 @@ class MainWindow(QMainWindow):
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return settings.value("data/dataRoot")
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def loadData(self, fname=None):
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if not self.okToContinue():
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return
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if fname is None:
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action = self.sender()
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if isinstance(action, QAction):
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@ -348,16 +350,13 @@ class MainWindow(QMainWindow):
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fname = QFileDialog().getOpenFileName(self,
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caption=caption,
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filter=filt)
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self.setFileName(fname[0])
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fname = fname[0]
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else:
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self.setFileName(unicode(action.data().toString()))
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if not self.okToContinue():
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return
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else:
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self.setFileName(fname)
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fname = unicode(action.data().toString())
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self.setFileName(fname)
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self.data += Data(self, evtdata=self.getFileName())
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self.updatePicks()
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self.updateStatus('Event data loaded ...')
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self.convertPicks4PyLoT()
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self.drawPicks()
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def getLastEvent(self):
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return self.recentEvents[0]
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@ -468,9 +467,6 @@ class MainWindow(QMainWindow):
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def getPicks(self):
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return self.picks
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def updatePicks(self):
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pass
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def getPicksOnStation(self, station):
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try:
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return self.getPicks()[station]
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@ -696,6 +692,25 @@ class MainWindow(QMainWindow):
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raise Exception('FATAL: Should never occur!')
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self.getPicks()[station] = stat_picks
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def convertPicks4PyLoT(self):
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evt = self.getData().getEvtData()
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picks = {}
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onsets = {}
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for pick in evt.picks:
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phase = {}
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station = pick.waveform_id.station_code
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mpp = pick.time
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lpp = mpp + pick.time.upper_uncertainty
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epp = mpp - pick.time.lower_uncertainty
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spe = pick.time.uncertainty
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phase['mpp'] = mpp
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phase['epp'] = epp
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phase['lpp'] = lpp
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phase['spe'] = spe
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onsets[pick.phase_hint] = phase
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picks[station] = onsets
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def drawPicks(self, station=None):
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# if picks to draw not specified, draw all picks available
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if not station:
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@ -7,8 +7,8 @@
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#main settings#
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/DATA/Insheim #rootpath# %project path
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EVENT_DATA/LOCAL #datapath# %data path
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2015.08_Insheim #database# %name of data base
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e0013.241.15 #eventID# %event ID for single event processing
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2013.02_Insheim #database# %name of data base
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e0019.048.13 #eventID# %event ID for single event processing
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/DATA/Insheim/STAT_INFO #invdir# %full path to inventory or dataless-seed file
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PILOT #datastructure# %choose data structure
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0 #iplot# %flag for plotting: 0 none, 1, partly, >1 everything
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@ -32,7 +32,7 @@ HYPOSAT #locrt# %location routine used ("HYPO
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#common settings picker#
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20 #pstart# %start time [s] for calculating CF for P-picking
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100 #pstop# %end time [s] for calculating CF for P-picking
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3.0 #sstart# %start time [s] after or before(-) P-onset for calculating CF for S-picking
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1.0 #sstart# %start time [s] after or before(-) P-onset for calculating CF for S-picking
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100 #sstop# %end time [s] after P-onset for calculating CF for S-picking
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3 10 #bpz1# %lower/upper corner freq. of first band pass filter Z-comp. [Hz]
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3 12 #bpz2# %lower/upper corner freq. of second band pass filter Z-comp. [Hz]
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@ -65,11 +65,11 @@ ARH #algoS# %choose algorithm for S-onset
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0.3 #tpred2h# %for HOS/AR, length of AR-prediction window [s], H-components, 2nd pick
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4 #Sarorder# %for AR-picker, order of AR process of H-components
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10 #Srecalcwin# %for AR-picker, window length [s] for recalculation of CF (2nd pick) (H)
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6 #pickwinS# %for initial AIC and refined pick, length of S-pick window [s]
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25 #pickwinS# %for initial AIC and refined pick, length of S-pick window [s]
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5 0.2 3.0 3.0 #tsnrh# %for ARH/AR3, window lengths for SNR-and slope estimation [tnoise,tsafetey,tsignal,tslope] [s]
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3.0 #aictsmoothS# %for AIC-picker, take average of samples for smoothing of AIC-function [s]
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3.5 #aictsmoothS# %for AIC-picker, take average of samples for smoothing of AIC-function [s]
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1.0 #tsmoothS# %for AR-picker, take average of samples for smoothing CF [s] (S)
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0.4 #ausS# %for HOS/AR, artificial uplift of samples (aus) of CF (S)
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0.2 #ausS# %for HOS/AR, artificial uplift of samples (aus) of CF (S)
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1.5 #nfacS# %for AR-picker, noise factor for noise level determination (S)
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%first-motion picker%
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1 #minfmweight# %minimum required p weight for first-motion determination
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@ -81,16 +81,16 @@ ARH #algoS# %choose algorithm for S-onset
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0.04 0.08 0.16 0.32 #timeerrorsS# %discrete time errors [s] corresponding to picking weights [0 1 2 3] for S
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3 #minAICPslope# %below this slope [counts/s] the initial P pick is rejected
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1.2 #minAICPSNR# %below this SNR the initial P pick is rejected
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3 #minAICSslope# %below this slope [counts/s] the initial S pick is rejected
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1.5 #minAICSSNR# %below this SNR the initial S pick is rejected
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5 #minAICSslope# %below this slope [counts/s] the initial S pick is rejected
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2.5 #minAICSSNR# %below this SNR the initial S pick is rejected
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#check duration of signal using envelope function#
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30 #minsiglength# %minimum required length of signal [s]
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2.5 #noisefactor# %noiselevel*noisefactor=threshold
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60 #minpercent# %required percentage of samples higher than threshold
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#check for spuriously picked S-onsets#
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1.5 #zfac# %P-amplitude must exceed at least zfac times RMS-S amplitude
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1.0 #zfac# %P-amplitude must exceed at least zfac times RMS-S amplitude
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#check statistics of P onsets#
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35 #mdttolerance# %maximum allowed deviation of P picks from median [s]
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45 #mdttolerance# %maximum allowed deviation of P picks from median [s]
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#wadati check#
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2.0 #wdttolerance# %maximum allowed deviation from Wadati-diagram
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3.0 #wdttolerance# %maximum allowed deviation from Wadati-diagram
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@ -218,7 +218,7 @@ class AICcf(CharacteristicFunction):
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def calcCF(self, data):
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print 'Calculating AIC ...'
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#print 'Calculating AIC ...' ## MP MP output suppressed
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x = self.getDataArray()
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xnp = x[0].data
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nn = np.isnan(xnp)
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@ -260,7 +260,7 @@ class HOScf(CharacteristicFunction):
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y = np.power(xnp, 3)
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y1 = np.power(xnp, 2)
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elif self.getOrder() == 4: # this is kurtosis
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print 'Calculating kurtosis ...'
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#print 'Calculating kurtosis ...' ## MP MP output suppressed
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y = np.power(xnp, 4)
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y1 = np.power(xnp, 2)
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@ -18,6 +18,7 @@ calculated after Diehl & Kissling (2009).
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:author: MAGS2 EP3 working group / Ludger Kueperkoch
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"""
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import numpy as np
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import matplotlib.pyplot as plt
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from pylot.core.pick.utils import getnoisewin, getsignalwin
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@ -245,8 +246,7 @@ class AICPicker(AutoPicking):
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if datafit[0] >= datafit[len(datafit) - 1]:
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print 'AICPicker: Negative slope, bad onset skipped!'
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return
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self.slope = 1 / tslope * datafit[len(dataslope) - 1] - datafit[0]
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self.slope = 1 / tslope * (datafit[len(dataslope) - 1] - datafit[0])
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else:
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self.SNR = None
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@ -43,7 +43,13 @@ def earllatepicker(X, nfac, TSNR, Pick1, iplot=None):
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LPick = None
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EPick = None
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PickError = None
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<<<<<<< Updated upstream
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print ("earllatepicker: Get earliest and latest possible pick relative to most likely pick ...")
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=======
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# MP MP ++ output suppressed
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#print 'earllatepicker: Get earliest and latest possible pick relative to most likely pick ...'
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# MP MP --
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>>>>>>> Stashed changes
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x = X[0].data
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t = np.arange(0, X[0].stats.npts / X[0].stats.sampling_rate,
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@ -386,6 +386,9 @@ class Data(object):
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"""
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return self.evtdata
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def setEvtData(self, event):
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self.evtdata = event
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def applyEVTData(self, data, type='pick', authority_id='rub'):
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"""
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@ -447,7 +450,10 @@ class Data(object):
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:param event:
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"""
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pass
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if not self.isNew():
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self.setEvtData(event)
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else:
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raise OverwriteError('Acutal event would be overwritten!')
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applydata = {'pick': applyPicks,
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'arrival': applyArrivals,
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@ -105,10 +105,10 @@ class MPLWidget(FigureCanvas):
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for level in noiselevel:
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self.getAxes().plot([time_ax[0], time_ax[-1]],
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[level, level], '--k')
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xlabel = 'seconds since {0}'.format(wfstart)
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ylabel = ''
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self.updateWidget(xlabel, ylabel, title)
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self.setPlotDict(n, (station, channel))
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xlabel = 'seconds since {0}'.format(wfstart)
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ylabel = ''
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self.updateWidget(xlabel, ylabel, title)
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self.setXLims([0, wfend - wfstart])
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self.setYLims([-0.5, n + 0.5])
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if zoomx is not None:
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