[cleanup] pycharm code inspection
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@@ -617,9 +617,9 @@ def calcsourcespec(wfstream, onset, vp, delta, azimuth, incidence,
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p3, = plt.loglog(F, YYcor, 'r')
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p4, = plt.loglog(F, fit, 'g')
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plt.loglog([fc, fc], [w0 / 100, w0], 'g')
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plt.legend([p1, p2, p3, p4], ['Raw Spectrum', \
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'Used Raw Spectrum', \
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'Q-Corrected Spectrum', \
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plt.legend([p1, p2, p3, p4], ['Raw Spectrum',
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'Used Raw Spectrum',
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'Q-Corrected Spectrum',
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'Fit to Spectrum'])
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plt.title('Source Spectrum from P Pulse, w0=%e m/Hz, fc=%6.2f Hz' \
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% (w0, fc))
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@@ -240,8 +240,8 @@ class Data(object):
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mstation = picks[i].waveform_id.station_code
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mstation_ext = mstation + '_'
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for k in range(len(picks_copy)):
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if ((picks_copy[k].waveform_id.station_code == mstation) or \
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(picks_copy[k].waveform_id.station_code == mstation_ext)) and \
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if ((picks_copy[k].waveform_id.station_code == mstation) or
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(picks_copy[k].waveform_id.station_code == mstation_ext)) and \
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(picks_copy[k].method_id == 'auto'):
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del picks_copy[k]
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break
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@@ -442,7 +442,6 @@ class Data(object):
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else:
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if self.get_evt_data().picks:
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raise OverwriteError('Existing picks would be overwritten!')
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break
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else:
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picks = picks_from_picksdict(picks)
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break
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@@ -865,8 +865,8 @@ def merge_picks(event, picks):
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if p.waveform_id.station_code == station\
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and p.waveform_id.network_code == network\
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and p.phase_hint == phase\
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and (str(p.method_id) in str(method)\
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or str(method) in str(p.method_id)):
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and (str(p.method_id) in str(method)
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or str(method) in str(p.method_id)):
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p.time, p.time_errors, p.waveform_id.network_code, p.method_id = time, err, network, method
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del time, err, phase, station, network, method
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return event
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@@ -907,15 +907,15 @@ def getQualitiesfromxml(xmlnames, ErrorsP, ErrorsS, plotflag=1):
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for mpick in arrivals_copy:
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phase = identifyPhase(loopIdentifyPhase(Pick.phase_hint))
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if phase == 'P':
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if ((mpick.waveform_id.station_code == mstation) or \
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(mpick.waveform_id.station_code == mstation_ext)) and \
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if ((mpick.waveform_id.station_code == mstation) or
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(mpick.waveform_id.station_code == mstation_ext)) and \
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((mpick.method_id).split('/')[1] == 'auto') and \
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(mpick.time_errors['uncertainty'] <= ErrorsP[3]):
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del mpick
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break
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elif phase == 'S':
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if ((mpick.waveform_id.station_code == mstation) or \
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(mpick.waveform_id.station_code == mstation_ext)) and \
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if ((mpick.waveform_id.station_code == mstation) or
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(mpick.waveform_id.station_code == mstation_ext)) and \
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((mpick.method_id).split('/')[1] == 'auto') and \
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(mpick.time_errors['uncertainty'] <= ErrorsS[3]):
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del mpick
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@@ -859,7 +859,7 @@ def autopickstation(wfstream, pickparam, verbose=False,
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hdat += ndat
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else:
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print('autopickstation: No horizontal component data available or ' \
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print('autopickstation: No horizontal component data available or '
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'bad P onset, skipping S picking!')
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##############################################################
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@@ -26,7 +26,7 @@ class CharacteristicFunction(object):
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SuperClass for different types of characteristic functions.
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'''
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def __init__(self, data, cut, t2=None, order=None, t1=None, fnoise=None, stealthMode=False):
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def __init__(self, data, cut, t2=None, order=None, t1=None, fnoise=None):
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'''
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Initialize data type object with information from the original
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Seismogram.
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@@ -63,7 +63,6 @@ class CharacteristicFunction(object):
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self.calcCF(self.getDataArray())
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self.arpara = np.array([])
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self.xpred = np.array([])
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self._stealthMode = stealthMode
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def __str__(self):
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return '''\n\t{name} object:\n
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@@ -137,9 +136,6 @@ class CharacteristicFunction(object):
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def getXCF(self):
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return self.xcf
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def _getStealthMode(self):
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return self._stealthMode()
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def getDataArray(self, cut=None):
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'''
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If cut times are given, time series is cut from cut[0] (start time)
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@@ -224,8 +220,6 @@ class AICcf(CharacteristicFunction):
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def calcCF(self, data):
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# if self._getStealthMode() is False:
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# print 'Calculating AIC ...'
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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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@@ -264,13 +258,9 @@ class HOScf(CharacteristicFunction):
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if len(nn) > 1:
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xnp[nn] = 0
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if self.getOrder() == 3: # this is skewness
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# if self._getStealthMode() is False:
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# print 'Calculating skewness ...'
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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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# if self._getStealthMode() is False:
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# print 'Calculating kurtosis ...'
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y = np.power(xnp, 4)
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y1 = np.power(xnp, 2)
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@@ -94,7 +94,7 @@ def earllatepicker(X, nfac, TSNR, Pick1, iplot=0, verbosity=1, fig=None, linecol
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# get earliest possible pick
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EPick = np.nan;
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EPick = np.nan
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count = 0
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pis = isignal
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@@ -71,7 +71,7 @@ def earllatepicker(X, nfac, TSNR, Pick1, iplot=0, stealthMode=False):
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# get earliest possible pick
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EPick = np.nan;
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EPick = np.nan
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count = 0
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pis = isignal
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@@ -200,7 +200,7 @@ def run_makeCF(project, database, event, iplot, station=None):
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plt.ylim([-1.5, 1.5])
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plt.xlabel('Time [s]')
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plt.ylabel('Normalized Counts')
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plt.title('%s, %s, CF-SNR=%7.2f, CF-Slope=%12.2f' % (tr.stats.station, \
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plt.title('%s, %s, CF-SNR=%7.2f, CF-Slope=%12.2f' % (tr.stats.station,
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tr.stats.channel, aicpick.getSNR(),
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aicpick.getSlope()))
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plt.suptitle(tr.stats.starttime)
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@@ -223,9 +223,9 @@ def run_makeCF(project, database, event, iplot, station=None):
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plt.plot([arhpick.getpick() - 0.5, arhpick.getpick() + 0.5], [-1, -1], 'r')
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plt.plot([arhELpick.getLpick(), arhELpick.getLpick()], [-0.8, 0.8], 'r--')
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plt.plot([arhELpick.getEpick(), arhELpick.getEpick()], [-0.8, 0.8], 'r--')
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plt.plot([arhpick.getpick() + arhELpick.getPickError(), arhpick.getpick() + arhELpick.getPickError()], \
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plt.plot([arhpick.getpick() + arhELpick.getPickError(), arhpick.getpick() + arhELpick.getPickError()],
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[-0.2, 0.2], 'r--')
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plt.plot([arhpick.getpick() - arhELpick.getPickError(), arhpick.getpick() - arhELpick.getPickError()], \
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plt.plot([arhpick.getpick() - arhELpick.getPickError(), arhpick.getpick() - arhELpick.getPickError()],
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[-0.2, 0.2], 'r--')
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plt.yticks([])
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plt.ylim([-1.5, 1.5])
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@@ -245,9 +245,9 @@ def run_makeCF(project, database, event, iplot, station=None):
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plt.plot([arhpick.getpick() - 0.5, arhpick.getpick() + 0.5], [-1, -1], 'r')
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plt.plot([arhELpick.getLpick(), arhELpick.getLpick()], [-0.8, 0.8], 'r--')
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plt.plot([arhELpick.getEpick(), arhELpick.getEpick()], [-0.8, 0.8], 'r--')
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plt.plot([arhpick.getpick() + arhELpick.getPickError(), arhpick.getpick() + arhELpick.getPickError()], \
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plt.plot([arhpick.getpick() + arhELpick.getPickError(), arhpick.getpick() + arhELpick.getPickError()],
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[-0.2, 0.2], 'r--')
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plt.plot([arhpick.getpick() - arhELpick.getPickError(), arhpick.getpick() - arhELpick.getPickError()], \
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plt.plot([arhpick.getpick() - arhELpick.getPickError(), arhpick.getpick() - arhELpick.getPickError()],
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[-0.2, 0.2], 'r--')
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plt.title([trH2_filt.stats.station, trH2_filt.stats.channel])
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plt.yticks([])
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