autoPyLoT: figure beautification
also added nav toolbar to TuneAutopicker
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parent
77b076d560
commit
4d9c7b02cf
16
QtPyLoT.py
16
QtPyLoT.py
@ -556,12 +556,14 @@ class MainWindow(QMainWindow):
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self.drawPicks(picktype=type)
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self.draw()
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def getCurrentEvent(self):
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for event in self.project.eventlist:
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if event.path == self.getCurrentEventPath():
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def getCurrentEvent(self, eventlist=None):
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if not eventlist:
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eventlist = self.project.eventlist
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for event in eventlist:
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if event.path == self.getCurrentEventPath(eventlist):
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return event
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def getCurrentEventPath(self):
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def getCurrentEventPath(self, eventlist=None):
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return str(self.eventBox.currentText().split('|')[0]).strip()
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def getLastEvent(self):
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@ -604,10 +606,10 @@ class MainWindow(QMainWindow):
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else:
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return
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def getWFFnames_from_eventlist(self):
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def getWFFnames_from_eventlist(self, eventlist=None):
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if self.dataStructure:
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searchPath = self.dataStructure.expandDataPath()
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directory = self.getCurrentEventPath()
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directory = self.getCurrentEventPath(eventlist)
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self.fnames = [os.path.join(directory, f) for f in os.listdir(directory)]
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else:
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raise DatastructureError('not specified')
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@ -940,7 +942,7 @@ class MainWindow(QMainWindow):
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# ans = self.data.setWFData(self.getWFFnames())
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# else:
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# ans = False
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self.data.setWFData(self.getWFFnames_from_eventlist())
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self.data.setWFData(self.getWFFnames_from_eventlist(self.project.eventlist))
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self._stime = full_range(self.get_data().getWFData())[0]
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def connectWFplotEvents(self):
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@ -1 +1 @@
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12e6-dirty
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77b07-dirty
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@ -700,7 +700,7 @@ def autopickstation(wfstream, pickparam, verbose=False, iplot=0, fig_dict=None):
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if len(edat[0]) > 1 and len(ndat[0]) > 1 and Sflag == 1:
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# plot horizontal traces
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ax2 = fig.add_subplot(312)
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ax2 = fig.add_subplot(3,1,2,sharex=ax1)
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th1data = np.arange(0,
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trH1_filt.stats.npts /
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trH1_filt.stats.sampling_rate,
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@ -749,7 +749,7 @@ def autopickstation(wfstream, pickparam, verbose=False, iplot=0, fig_dict=None):
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ax2.set_ylabel('Normalized Counts')
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#fig.suptitle(trH1_filt.stats.starttime)
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ax3 = fig.add_subplot(313)
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ax3 = fig.add_subplot(3,1,3, sharex=ax1)
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th2data = np.arange(0,
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trH2_filt.stats.npts /
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trH2_filt.stats.sampling_rate,
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@ -268,22 +268,28 @@ class AICPicker(AutoPicker):
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ax1.plot([self.Pick, self.Pick], [-0.1, 0.5], 'b', linewidth=2, label='AIC-Pick')
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ax1.set_xlabel('Time [s] since %s' % self.Data[0].stats.starttime)
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ax1.set_yticks([])
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ax1.set_title(self.Data[0].stats.station)
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ax1.legend()
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if self.Pick is not None:
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ax2 = fig.add_subplot(212)
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ax2 = fig.add_subplot(2,1,2, sharex=ax1)
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ax2.plot(self.Tcf, x, 'k', label='Data')
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ax2.plot(self.Tcf[inoise], self.Data[0].data[inoise], label='Noise Window')
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ax2.plot(self.Tcf[isignal], self.Data[0].data[isignal], 'r', label='Signal Window')
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ax2.plot(self.Tcf[islope], dataslope, 'g--', label='Slope Window')
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ax1.axvspan(self.Tcf[inoise[0]],self.Tcf[inoise[-1]], color='y', alpha=0.2, lw=0, label='Noise Window')
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ax1.axvspan(self.Tcf[isignal[0]],self.Tcf[isignal[-1]], color='b', alpha=0.2, lw=0, label='Signal Window')
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ax1.axvspan(self.Tcf[islope[0]],self.Tcf[islope[-1]], color='g', alpha=0.2, lw=0, label='Slope Window')
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ax2.axvspan(self.Tcf[inoise[0]],self.Tcf[inoise[-1]], color='y', alpha=0.2, lw=0, label='Noise Window')
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ax2.axvspan(self.Tcf[isignal[0]],self.Tcf[isignal[-1]], color='b', alpha=0.2, lw=0, label='Signal Window')
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ax2.axvspan(self.Tcf[islope[0]],self.Tcf[islope[-1]], color='g', alpha=0.2, lw=0, label='Slope Window')
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ax2.plot(self.Tcf[islope], datafit, 'g', linewidth=2, label='Slope')
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ax2.set_title('Station %s, SNR=%7.2f, Slope= %12.2f counts/s' % (self.Data[0].stats.station,
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ax1.set_title('Station %s, SNR=%7.2f, Slope= %12.2f counts/s' % (self.Data[0].stats.station,
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self.SNR, self.slope))
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ax2.set_xlabel('Time [s] since %s' % self.Data[0].stats.starttime)
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ax2.set_ylabel('Counts')
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ax2.set_yticks([])
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ax2.legend()
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else:
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ax1.set_title(self.Data[0].stats.station)
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if self.Pick == None:
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print('AICPicker: Could not find minimum, picking window too short?')
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@ -105,12 +105,11 @@ def earllatepicker(X, nfac, TSNR, Pick1, iplot=None, stealth_mode=False, fig=Non
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if iplot > 1:
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if not fig:
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print('New Figure.........................')
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fig = plt.figure()#iplot)
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ax = fig.add_subplot(111)
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ax.plot(t, x, 'k', label='Data')
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ax.plot(t[inoise], x[inoise], label='Noise Window')
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ax.plot(t[isignal], x[isignal], 'r', label='Signal Window')
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ax.axvspan(t[inoise[0]], t[inoise[-1]], color='y', alpha=0.2, lw=0, label='Noise Window')
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ax.axvspan(t[isignal[0]], t[isignal[-1]], color='b', alpha=0.2, lw=0, label='Signal Window')
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ax.plot([t[0], t[int(len(t)) - 1]], [nlevel, nlevel], '--k', label='Noise Level')
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ax.plot(t[isignal[zc]], np.zeros(len(zc)), '*g',
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markersize=14, label='Zero Crossings')
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@ -292,7 +291,7 @@ def fmpicker(Xraw, Xfilt, pickwin, Pick, iplot=None, fig=None):
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ax1.set_title('First-Motion Determination, %s, Unfiltered Data' % Xraw[
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0].stats.station)
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ax2=fig.add_subplot(212)
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ax2=fig.add_subplot(2,1,2, sharex=ax1)
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ax2.set_title('First-Motion Determination, Filtered Data')
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ax2.plot(t, xfilt, 'k')
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ax2.plot([Pick, Pick], [max(xfilt), -max(xfilt)], 'b',
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@ -693,8 +692,8 @@ def checksignallength(X, pick, TSNR, minsiglength, nfac, minpercent, iplot=0, fi
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fig = plt.figure()#iplot)
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ax = fig.add_subplot(111)
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ax.plot(t, rms, 'k', label='RMS Data')
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ax.plot(t[inoise], rms[inoise], 'c', label='RMS Noise Window')
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ax.plot(t[isignal], rms[isignal], 'r', label='RMS Signal Window')
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ax.axvspan(t[inoise[0]], t[inoise[-1]], color='y', alpha=0.2, lw=0, label='Noise Window')
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ax.axvspan(t[isignal[0]], t[isignal[-1]], color='b', alpha=0.2, lw=0, label='Signal Window')
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ax.plot([t[isignal[0]], t[isignal[len(isignal) - 1]]],
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[minsiglevel, minsiglevel], 'g', linewidth=2, label='Minimum Signal Level')
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ax.plot([pick, pick], [min(rms), max(rms)], 'b', linewidth=2, label='Onset')
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@ -964,11 +963,10 @@ def checkZ4S(X, pick, zfac, checkwin, iplot, fig=None):
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fig = plt.figure()
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ax = fig.add_subplot(111)
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ax.plot(tz, z / max(z), 'k')
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ax.plot(tz[isignal], z[isignal] / max(z), 'r')
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ax.axvspan(tz[isignal[0]], tz[isignal[-1]], color='b', alpha=0.2,
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lw=0, label='Signal Window')
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ax.plot(te, edat[0].data / max(edat[0].data) + 1, 'k')
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ax.plot(te[isignal], edat[0].data[isignal] / max(edat[0].data) + 1, 'r')
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ax.plot(tn, ndat[0].data / max(ndat[0].data) + 2, 'k')
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ax.plot(tn[isignal], ndat[0].data[isignal] / max(ndat[0].data) + 2, 'r')
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ax.plot([tz[isignal[0]], tz[isignal[len(isignal) - 1]]],
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[minsiglevel / max(z), minsiglevel / max(z)], 'g',
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linewidth=2, label='Minimum Signal Level')
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@ -1294,8 +1294,8 @@ class TuneAutopicker(QWidget):
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self.trace_layout = QtGui.QHBoxLayout()
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self.parameter_layout = QtGui.QVBoxLayout()
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self.main_layout.addLayout(self.tune_layout)
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self.main_layout.addLayout(self.trace_layout)
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self.main_layout.addLayout(self.tune_layout)
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self.setLayout(self.main_layout)
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def init_eventlist(self):
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@ -1360,10 +1360,8 @@ class TuneAutopicker(QWidget):
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self.stb_names = ['aicARHfig', 'refSpick', 'el_S1pick', 'el_S2pick']
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def fill_tabs(self, canvas_dict):
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try:
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self.main_tabs.addTab(canvas_dict['mainFig'], 'Overview')
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except Exception as e:
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self.main_tabs.addTab(QtGui.QWidget(), 'Overview')
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id = self.main_tabs.addTab(self.gen_tab_widget('Overview', canvas_dict['mainFig']), 'Overview')
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self.main_tabs.setTabEnabled(id, bool(self.fig_dict['mainFig'].axes))
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self.main_tabs.addTab(self.p_tabs, 'P')
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self.main_tabs.addTab(self.s_tabs, 'S')
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self.fill_p_tabs(canvas_dict)
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@ -1375,7 +1373,7 @@ class TuneAutopicker(QWidget):
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def fill_p_tabs(self, canvas_dict):
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for name in self.ptb_names:
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id = self.p_tabs.addTab(canvas_dict[name], name)
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id = self.p_tabs.addTab(self.gen_tab_widget(name, canvas_dict[name]), name)
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self.p_tabs.setTabEnabled(id, bool(self.fig_dict[name].axes))
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try:
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self.fig_dict[name].tight_layout()
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@ -1384,13 +1382,21 @@ class TuneAutopicker(QWidget):
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def fill_s_tabs(self, canvas_dict):
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for name in self.stb_names:
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figure = self.fig_dict[name]
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id = self.s_tabs.addTab(canvas_dict[name], name)
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id = self.s_tabs.addTab(self.gen_tab_widget(name, canvas_dict[name]), name)
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self.s_tabs.setTabEnabled(id, bool(self.fig_dict[name].axes))
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try:
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self.fig_dict[name].tight_layout()
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except:
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pass
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def gen_tab_widget(self, name, canvas):
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widget = QtGui.QWidget()
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v_layout = QtGui.QVBoxLayout()
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v_layout.addWidget(canvas)
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v_layout.addWidget(NavigationToolbar2QT(canvas, self))
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widget.setLayout(v_layout)
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return widget
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class PropertiesDlg(QDialog):
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def __init__(self, parent=None, infile=None):
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