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autoPyLoT: figure beautification

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also added nav toolbar to TuneAutopicker
This commit is contained in:
Marcel Paffrath 2017-05-15 11:20:40 +02:00
parent 77b076d560
commit 4d9c7b02cf
6 changed files with 45 additions and 33 deletions
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16
QtPyLoT.py
View File

@ -556,12 +556,14 @@ class MainWindow(QMainWindow):
self.drawPicks(picktype=type) self.drawPicks(picktype=type)
self.draw() self.draw()
def getCurrentEvent(self): def getCurrentEvent(self, eventlist=None):
for event in self.project.eventlist: if not eventlist:
if event.path == self.getCurrentEventPath(): eventlist = self.project.eventlist
for event in eventlist:
if event.path == self.getCurrentEventPath(eventlist):
return event return event
def getCurrentEventPath(self): def getCurrentEventPath(self, eventlist=None):
return str(self.eventBox.currentText().split('|')[0]).strip() return str(self.eventBox.currentText().split('|')[0]).strip()
def getLastEvent(self): def getLastEvent(self):
@ -604,10 +606,10 @@ class MainWindow(QMainWindow):
else: else:
return return
def getWFFnames_from_eventlist(self): def getWFFnames_from_eventlist(self, eventlist=None):
if self.dataStructure: if self.dataStructure:
searchPath = self.dataStructure.expandDataPath() searchPath = self.dataStructure.expandDataPath()
directory = self.getCurrentEventPath() directory = self.getCurrentEventPath(eventlist)
self.fnames = [os.path.join(directory, f) for f in os.listdir(directory)] self.fnames = [os.path.join(directory, f) for f in os.listdir(directory)]
else: else:
raise DatastructureError('not specified') raise DatastructureError('not specified')
@ -940,7 +942,7 @@ class MainWindow(QMainWindow):
# ans = self.data.setWFData(self.getWFFnames()) # ans = self.data.setWFData(self.getWFFnames())
# else: # else:
# ans = False # ans = False
self.data.setWFData(self.getWFFnames_from_eventlist()) self.data.setWFData(self.getWFFnames_from_eventlist(self.project.eventlist))
self._stime = full_range(self.get_data().getWFData())[0] self._stime = full_range(self.get_data().getWFData())[0]
def connectWFplotEvents(self): def connectWFplotEvents(self):

2
pylot/RELEASE-VERSION
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@ -1 +1 @@
12e6-dirty 77b07-dirty

4
pylot/core/pick/autopick.py
View File

@ -700,7 +700,7 @@ def autopickstation(wfstream, pickparam, verbose=False, iplot=0, fig_dict=None):
if len(edat[0]) > 1 and len(ndat[0]) > 1 and Sflag == 1: if len(edat[0]) > 1 and len(ndat[0]) > 1 and Sflag == 1:
# plot horizontal traces # plot horizontal traces
ax2 = fig.add_subplot(312) ax2 = fig.add_subplot(3,1,2,sharex=ax1)
th1data = np.arange(0, th1data = np.arange(0,
trH1_filt.stats.npts / trH1_filt.stats.npts /
trH1_filt.stats.sampling_rate, trH1_filt.stats.sampling_rate,
@ -749,7 +749,7 @@ def autopickstation(wfstream, pickparam, verbose=False, iplot=0, fig_dict=None):
ax2.set_ylabel('Normalized Counts') ax2.set_ylabel('Normalized Counts')
#fig.suptitle(trH1_filt.stats.starttime) #fig.suptitle(trH1_filt.stats.starttime)
ax3 = fig.add_subplot(313) ax3 = fig.add_subplot(3,1,3, sharex=ax1)
th2data = np.arange(0, th2data = np.arange(0,
trH2_filt.stats.npts / trH2_filt.stats.npts /
trH2_filt.stats.sampling_rate, trH2_filt.stats.sampling_rate,

18
pylot/core/pick/picker.py
View File

@ -268,22 +268,28 @@ class AICPicker(AutoPicker):
ax1.plot([self.Pick, self.Pick], [-0.1, 0.5], 'b', linewidth=2, label='AIC-Pick') ax1.plot([self.Pick, self.Pick], [-0.1, 0.5], 'b', linewidth=2, label='AIC-Pick')
ax1.set_xlabel('Time [s] since %s' % self.Data[0].stats.starttime) ax1.set_xlabel('Time [s] since %s' % self.Data[0].stats.starttime)
ax1.set_yticks([]) ax1.set_yticks([])
ax1.set_title(self.Data[0].stats.station)
ax1.legend() ax1.legend()
if self.Pick is not None: if self.Pick is not None:
ax2 = fig.add_subplot(212) ax2 = fig.add_subplot(2,1,2, sharex=ax1)
ax2.plot(self.Tcf, x, 'k', label='Data') ax2.plot(self.Tcf, x, 'k', label='Data')
ax2.plot(self.Tcf[inoise], self.Data[0].data[inoise], label='Noise Window') ax1.axvspan(self.Tcf[inoise[0]],self.Tcf[inoise[-1]], color='y', alpha=0.2, lw=0, label='Noise Window')
ax2.plot(self.Tcf[isignal], self.Data[0].data[isignal], 'r', label='Signal Window') ax1.axvspan(self.Tcf[isignal[0]],self.Tcf[isignal[-1]], color='b', alpha=0.2, lw=0, label='Signal Window')
ax2.plot(self.Tcf[islope], dataslope, 'g--', label='Slope Window') ax1.axvspan(self.Tcf[islope[0]],self.Tcf[islope[-1]], color='g', alpha=0.2, lw=0, label='Slope Window')
ax2.axvspan(self.Tcf[inoise[0]],self.Tcf[inoise[-1]], color='y', alpha=0.2, lw=0, label='Noise Window')
ax2.axvspan(self.Tcf[isignal[0]],self.Tcf[isignal[-1]], color='b', alpha=0.2, lw=0, label='Signal Window')
ax2.axvspan(self.Tcf[islope[0]],self.Tcf[islope[-1]], color='g', alpha=0.2, lw=0, label='Slope Window')
ax2.plot(self.Tcf[islope], datafit, 'g', linewidth=2, label='Slope') ax2.plot(self.Tcf[islope], datafit, 'g', linewidth=2, label='Slope')
ax2.set_title('Station %s, SNR=%7.2f, Slope= %12.2f counts/s' % (self.Data[0].stats.station,
ax1.set_title('Station %s, SNR=%7.2f, Slope= %12.2f counts/s' % (self.Data[0].stats.station,
self.SNR, self.slope)) self.SNR, self.slope))
ax2.set_xlabel('Time [s] since %s' % self.Data[0].stats.starttime) ax2.set_xlabel('Time [s] since %s' % self.Data[0].stats.starttime)
ax2.set_ylabel('Counts') ax2.set_ylabel('Counts')
ax2.set_yticks([]) ax2.set_yticks([])
ax2.legend() ax2.legend()
else:
ax1.set_title(self.Data[0].stats.station)
if self.Pick == None: if self.Pick == None:
print('AICPicker: Could not find minimum, picking window too short?') print('AICPicker: Could not find minimum, picking window too short?')

16
pylot/core/pick/utils.py
View File

@ -105,12 +105,11 @@ def earllatepicker(X, nfac, TSNR, Pick1, iplot=None, stealth_mode=False, fig=Non
if iplot > 1: if iplot > 1:
if not fig: if not fig:
print('New Figure.........................')
fig = plt.figure()#iplot) fig = plt.figure()#iplot)
ax = fig.add_subplot(111) ax = fig.add_subplot(111)
ax.plot(t, x, 'k', label='Data') ax.plot(t, x, 'k', label='Data')
ax.plot(t[inoise], x[inoise], label='Noise Window') ax.axvspan(t[inoise[0]], t[inoise[-1]], color='y', alpha=0.2, lw=0, label='Noise Window')
ax.plot(t[isignal], x[isignal], 'r', label='Signal Window') ax.axvspan(t[isignal[0]], t[isignal[-1]], color='b', alpha=0.2, lw=0, label='Signal Window')
ax.plot([t[0], t[int(len(t)) - 1]], [nlevel, nlevel], '--k', label='Noise Level') ax.plot([t[0], t[int(len(t)) - 1]], [nlevel, nlevel], '--k', label='Noise Level')
ax.plot(t[isignal[zc]], np.zeros(len(zc)), '*g', ax.plot(t[isignal[zc]], np.zeros(len(zc)), '*g',
markersize=14, label='Zero Crossings') markersize=14, label='Zero Crossings')
@ -292,7 +291,7 @@ def fmpicker(Xraw, Xfilt, pickwin, Pick, iplot=None, fig=None):
ax1.set_title('First-Motion Determination, %s, Unfiltered Data' % Xraw[ ax1.set_title('First-Motion Determination, %s, Unfiltered Data' % Xraw[
0].stats.station) 0].stats.station)
ax2=fig.add_subplot(212) ax2=fig.add_subplot(2,1,2, sharex=ax1)
ax2.set_title('First-Motion Determination, Filtered Data') ax2.set_title('First-Motion Determination, Filtered Data')
ax2.plot(t, xfilt, 'k') ax2.plot(t, xfilt, 'k')
ax2.plot([Pick, Pick], [max(xfilt), -max(xfilt)], 'b', ax2.plot([Pick, Pick], [max(xfilt), -max(xfilt)], 'b',
@ -693,8 +692,8 @@ def checksignallength(X, pick, TSNR, minsiglength, nfac, minpercent, iplot=0, fi
fig = plt.figure()#iplot) fig = plt.figure()#iplot)
ax = fig.add_subplot(111) ax = fig.add_subplot(111)
ax.plot(t, rms, 'k', label='RMS Data') ax.plot(t, rms, 'k', label='RMS Data')
ax.plot(t[inoise], rms[inoise], 'c', label='RMS Noise Window') ax.axvspan(t[inoise[0]], t[inoise[-1]], color='y', alpha=0.2, lw=0, label='Noise Window')
ax.plot(t[isignal], rms[isignal], 'r', label='RMS Signal Window') ax.axvspan(t[isignal[0]], t[isignal[-1]], color='b', alpha=0.2, lw=0, label='Signal Window')
ax.plot([t[isignal[0]], t[isignal[len(isignal) - 1]]], ax.plot([t[isignal[0]], t[isignal[len(isignal) - 1]]],
[minsiglevel, minsiglevel], 'g', linewidth=2, label='Minimum Signal Level') [minsiglevel, minsiglevel], 'g', linewidth=2, label='Minimum Signal Level')
ax.plot([pick, pick], [min(rms), max(rms)], 'b', linewidth=2, label='Onset') ax.plot([pick, pick], [min(rms), max(rms)], 'b', linewidth=2, label='Onset')
@ -964,11 +963,10 @@ def checkZ4S(X, pick, zfac, checkwin, iplot, fig=None):
fig = plt.figure() fig = plt.figure()
ax = fig.add_subplot(111) ax = fig.add_subplot(111)
ax.plot(tz, z / max(z), 'k') ax.plot(tz, z / max(z), 'k')
ax.plot(tz[isignal], z[isignal] / max(z), 'r') ax.axvspan(tz[isignal[0]], tz[isignal[-1]], color='b', alpha=0.2,
lw=0, label='Signal Window')
ax.plot(te, edat[0].data / max(edat[0].data) + 1, 'k') ax.plot(te, edat[0].data / max(edat[0].data) + 1, 'k')
ax.plot(te[isignal], edat[0].data[isignal] / max(edat[0].data) + 1, 'r')
ax.plot(tn, ndat[0].data / max(ndat[0].data) + 2, 'k') ax.plot(tn, ndat[0].data / max(ndat[0].data) + 2, 'k')
ax.plot(tn[isignal], ndat[0].data[isignal] / max(ndat[0].data) + 2, 'r')
ax.plot([tz[isignal[0]], tz[isignal[len(isignal) - 1]]], ax.plot([tz[isignal[0]], tz[isignal[len(isignal) - 1]]],
[minsiglevel / max(z), minsiglevel / max(z)], 'g', [minsiglevel / max(z), minsiglevel / max(z)], 'g',
linewidth=2, label='Minimum Signal Level') linewidth=2, label='Minimum Signal Level')

22
pylot/core/util/widgets.py
View File

@ -1294,8 +1294,8 @@ class TuneAutopicker(QWidget):
self.trace_layout = QtGui.QHBoxLayout() self.trace_layout = QtGui.QHBoxLayout()
self.parameter_layout = QtGui.QVBoxLayout() self.parameter_layout = QtGui.QVBoxLayout()
self.main_layout.addLayout(self.tune_layout)
self.main_layout.addLayout(self.trace_layout) self.main_layout.addLayout(self.trace_layout)
self.main_layout.addLayout(self.tune_layout)
self.setLayout(self.main_layout) self.setLayout(self.main_layout)
def init_eventlist(self): def init_eventlist(self):
@ -1360,10 +1360,8 @@ class TuneAutopicker(QWidget):
self.stb_names = ['aicARHfig', 'refSpick', 'el_S1pick', 'el_S2pick'] self.stb_names = ['aicARHfig', 'refSpick', 'el_S1pick', 'el_S2pick']
def fill_tabs(self, canvas_dict): def fill_tabs(self, canvas_dict):
try: id = self.main_tabs.addTab(self.gen_tab_widget('Overview', canvas_dict['mainFig']), 'Overview')
self.main_tabs.addTab(canvas_dict['mainFig'], 'Overview') self.main_tabs.setTabEnabled(id, bool(self.fig_dict['mainFig'].axes))
except Exception as e:
self.main_tabs.addTab(QtGui.QWidget(), 'Overview')
self.main_tabs.addTab(self.p_tabs, 'P') self.main_tabs.addTab(self.p_tabs, 'P')
self.main_tabs.addTab(self.s_tabs, 'S') self.main_tabs.addTab(self.s_tabs, 'S')
self.fill_p_tabs(canvas_dict) self.fill_p_tabs(canvas_dict)
@ -1375,7 +1373,7 @@ class TuneAutopicker(QWidget):
def fill_p_tabs(self, canvas_dict): def fill_p_tabs(self, canvas_dict):
for name in self.ptb_names: for name in self.ptb_names:
id = self.p_tabs.addTab(canvas_dict[name], name) id = self.p_tabs.addTab(self.gen_tab_widget(name, canvas_dict[name]), name)
self.p_tabs.setTabEnabled(id, bool(self.fig_dict[name].axes)) self.p_tabs.setTabEnabled(id, bool(self.fig_dict[name].axes))
try: try:
self.fig_dict[name].tight_layout() self.fig_dict[name].tight_layout()
@ -1384,13 +1382,21 @@ class TuneAutopicker(QWidget):
def fill_s_tabs(self, canvas_dict): def fill_s_tabs(self, canvas_dict):
for name in self.stb_names: for name in self.stb_names:
figure = self.fig_dict[name] id = self.s_tabs.addTab(self.gen_tab_widget(name, canvas_dict[name]), name)
id = self.s_tabs.addTab(canvas_dict[name], name)
self.s_tabs.setTabEnabled(id, bool(self.fig_dict[name].axes)) self.s_tabs.setTabEnabled(id, bool(self.fig_dict[name].axes))
try: try:
self.fig_dict[name].tight_layout() self.fig_dict[name].tight_layout()
except: except:
pass pass
def gen_tab_widget(self, name, canvas):
widget = QtGui.QWidget()
v_layout = QtGui.QVBoxLayout()
v_layout.addWidget(canvas)
v_layout.addWidget(NavigationToolbar2QT(canvas, self))
widget.setLayout(v_layout)
return widget
class PropertiesDlg(QDialog): class PropertiesDlg(QDialog):
def __init__(self, parent=None, infile=None): def __init__(self, parent=None, infile=None):