def __init__(self, origin, inventory, chop):
super(MagnitudeCalc, self).__init__()
self.setupUi(self)
self.spectrum_Widget_Canvas = MatplotlibCanvas(self.spectrumWidget,
nrows=2,
ncols=1,
sharex=False,
constrained_layout=True)
self.event = origin
self.chop = chop
self.inventory = inventory
self.runBtn.clicked.connect(self.run_magnitudes)
self.saveBtn.clicked.connect(self.save_results)
self.plotBtn.clicked.connect(self.plot_comparison)
self.Mw = []
self.Mw_std = []
self.Ms = []
self.Ms_std = []
self.Mb = []
self.Mb_std = []
self.ML = []
self.ML_std = []
self.Mc = []
self.Mc_std = []
self.ML = []
self.ML_std = []
self.Magnitude_Ws = []
self.Mss = []
self.Mcs = []
self.Mcs = []
self.MLs = []
def __init__(self, parent, current_index=-1, parent_name=None):
super(TimeAnalysisWidget, self).__init__()
self.setupUi(self)
ParentWidget.set_parent(parent, self, current_index)
if parent_name: # add parent name if given. Helps to make difference between the same widget
self.parent_name = parent_name
# embed matplotlib to qt widget
self.canvas = MatplotlibCanvas(self.plotMatWidget, nrows=2)
self.canvas.set_xlabel(1, "Time (s)")
self.canvas.on_double_click(self.on_double_click_matplotlib)
self.time_selector = TimeSelectorBox(self.PlotToolsWidget, 0)
self.filter = FilterBox(self.PlotToolsWidget, 1)
self.spectrum_box = SpectrumBox(self.PlotToolsWidget, 3)
self.station_info = StationInfoBox(self.PlotToolsWidget, 4)
# bind buttons
self.plotSeismogramBtn.clicked.connect(
lambda: self.on_click_plot_seismogram(self.canvas))
self.plotArrivalsBtn.clicked.connect(
lambda: self.on_click_plot_arrivals(self.canvas))
self.spectrum_box.register_plot_mtp(
lambda: self.on_click_mtp(self.canvas))
self.spectrum_box.register_plot_cwt(
lambda: self.on_click_cwt(self.canvas))
self.__file_selector = None
self.__event_info = None
self.is_envelop_checked = False
def __init__(self, parameters, settings):
super(EGFFrame, self).__init__()
self.setupUi(self)
self.parameters = parameters
self.settings_dialog = settings
self.progressbar = pw.QProgressDialog(self)
self.progressbar.setWindowTitle('Ambient Noise Tomography')
self.progressbar.setLabelText(" Computing ")
self.progressbar.setWindowIcon(pqg.QIcon(':\icons\map-icon.png'))
self.progressbar.close()
self.inventory = {}
self.files = []
self.total_items = 0
self.items_per_page = 1
self.__dataless_manager = None
self.__metadata_manager = None
self.st = None
self.output = None
self.root_path_bind = BindPyqtObject(self.rootPathForm,
self.onChange_root_path)
self.root_path_bind2 = BindPyqtObject(self.rootPathForm2,
self.onChange_root_path)
self.metadata_path_bind = BindPyqtObject(self.datalessPathForm,
self.onChange_metadata_path)
self.updateBtn.clicked.connect(self.plot_egfs)
self.output_bind = BindPyqtObject(self.outPathForm,
self.onChange_root_path)
self.pagination = Pagination(self.pagination_widget, self.total_items,
self.items_per_page)
self.pagination.set_total_items(0)
self.canvas = MatplotlibCanvas(self.plotMatWidget,
nrows=self.items_per_page,
constrained_layout=False)
self.canvas.set_xlabel(0, "Time (s)")
self.canvas.figure.tight_layout()
# Bind buttons
self.readFilesBtn.clicked.connect(lambda: self.get_now_files())
self.selectDirBtn.clicked.connect(
lambda: self.on_click_select_directory(self.root_path_bind))
self.selectDirBtn2.clicked.connect(
lambda: self.on_click_select_directory(self.root_path_bind2))
self.metadata_path_bind = BindPyqtObject(self.datalessPathForm,
self.onChange_metadata_path)
self.selectDatalessDirBtn.clicked.connect(
lambda: self.on_click_select_file(self.metadata_path_bind))
self.outputBtn.clicked.connect(
lambda: self.on_click_select_directory(self.output_bind))
self.preprocessBtn.clicked.connect(self.run_preprocess)
self.cross_stackBtn.clicked.connect(self.stack)
self.mapBtn.clicked.connect(self.map)
def __init__(self, parent: pw.QWidget = None):
super(SyntheticsAnalisysFrame, self).__init__(parent)
self.setupUi(self)
ParentWidget.set_parent(parent, self)
self.setWindowTitle('Synthetics Analysis Frame')
self.setWindowIcon(pqg.QIcon(':\icons\pen-icon.png'))
#Initialize parametrs for plot rotation
self._z = {}
self._r = {}
self._t = {}
self._st = {}
self.inventory = {}
parameters = {}
self._generator = SyntheticsGeneratorDialog(self)
# 3C_Component
self.focmec_canvas = FocCanvas(self.widget_fp)
self.canvas = MatplotlibCanvas(self.plotMatWidget_3C)
self.canvas.set_new_subplot(3, ncols=1)
# Map
self.cartopy_canvas = CartopyCanvas(self.map_widget)
# binds
self.root_path_bind_3C = BindPyqtObject(self.rootPathForm_3C, self.onChange_root_path_3C)
self.vertical_form_bind = BindPyqtObject(self.verticalQLineEdit)
self.north_form_bind = BindPyqtObject(self.northQLineEdit)
self.east_form_bind = BindPyqtObject(self.eastQLineEdit)
self.generation_params_bind = BindPyqtObject(self.paramsPathLineEdit)
# accept drops
self.vertical_form_bind.accept_dragFile(drop_event_callback=self.drop_event)
self.north_form_bind.accept_dragFile(drop_event_callback=self.drop_event)
self.east_form_bind.accept_dragFile(drop_event_callback=self.drop_event)
self.generation_params_bind.accept_dragFile(drop_event_callback=self.drop_event)
self.paramsPathLineEdit.textChanged.connect(self._generationParamsChanged)
# Add file selector to the widget
self.file_selector = FilesView(self.root_path_bind_3C.value, parent=self.fileSelectorWidget)
self.file_selector.setDragEnabled(True)
self.selectDirBtn_3C.clicked.connect(self.on_click_select_directory_3C)
self.plotBtn.clicked.connect(self.on_click_rotate)
###
self.stationsBtn.clicked.connect(self.stationsInfo)
###
self.actionGenerate_synthetics.triggered.connect(lambda : self._generator.show())
def __init__(self, parent: pw.QWidget):
super(Earthquake3CFrame, self).__init__(parent)
self.setupUi(self)
ParentWidget.set_parent(parent, self)
#Initialize parametrs for plot rotation
self._z = {}
self._r = {}
self._t = {}
self._st = {}
self.inventory = {}
#self.filter_3ca = FilterBox(self.toolQFrame, 1) # add filter box component.
self.parameters = ParametersSettings()
# 3C_Component
self.canvas = MatplotlibCanvas(self.plotMatWidget_3C)
self.canvas.set_new_subplot(3, ncols=1)
self.canvas_pol = MatplotlibCanvas(self.Widget_polarization)
self.canvas.mpl_connect('key_press_event', self.key_pressed)
# binds
self.root_path_bind_3C = BindPyqtObject(self.rootPathForm_3C,
self.onChange_root_path_3C)
self.degreeSB_bind = BindPyqtObject(self.degreeSB)
self.vertical_form_bind = BindPyqtObject(self.verticalQLineEdit)
self.north_form_bind = BindPyqtObject(self.northQLineEdit)
self.east_form_bind = BindPyqtObject(self.eastQLineEdit)
# accept drops
self.vertical_form_bind.accept_dragFile(
drop_event_callback=self.drop_event)
self.north_form_bind.accept_dragFile(
drop_event_callback=self.drop_event)
self.east_form_bind.accept_dragFile(
drop_event_callback=self.drop_event)
# Add file selector to the widget
self.file_selector = FilesView(self.root_path_bind_3C.value,
parent=self.fileSelectorWidget)
self.file_selector.setDragEnabled(True)
self.selectDirBtn_3C.clicked.connect(self.on_click_select_directory_3C)
self.rotateplotBtn.clicked.connect(
lambda: self.on_click_rotate(self.canvas))
self.rot_macroBtn.clicked.connect(
lambda: self.open_parameters_settings())
self.polarizationBtn.clicked.connect(self.on_click_polarization)
###
self.plotpolBtn.clicked.connect(self.plot_particle_motion)
self.stationsBtn.clicked.connect(self.stationsInfo)
self.save_rotatedBtn.clicked.connect(self.save_rotated)
def __init__(self):
super(TimeFrequencyFrame, self).__init__()
self.setupUi(self)
self.__stations_dir = None
self.__metadata_manager = None
self.inventory = {}
self._stations_info = {}
self.tr1 = []
self.tr2 = []
self.canvas_plot1 = MatplotlibCanvas(self.widget_plot_up, nrows=2)
# self.canvas_plot1.set_xlabel(1, "Time (s)")
# self.canvas_plot1.set_ylabel(0, "Amplitude ")
# self.canvas_plot1.set_ylabel(1, "Frequency (Hz)")
self.canvas_plot2 = MatplotlibCanvas(self.widget_plot_down, nrows=2)
# self.canvas_plot2.set_xlabel(1, "Time (s)")
# self.canvas_plot2.set_ylabel(0, "Amplitude ")
# self.canvas_plot2.set_ylabel(1, "Frequency (Hz)")
# Binding
self.canvas_plot1.mpl_connect('key_press_event', self.key_pressed)
self.canvas_plot2.mpl_connect('key_press_event', self.key_pressed)
self.root_path_bind = BindPyqtObject(self.rootPathForm,
self.onChange_root_path)
self.dataless_path_bind = BindPyqtObject(self.datalessPathForm)
self.metadata_path_bind = BindPyqtObject(self.datalessPathForm,
self.onChange_metadata_path)
# Add file selector to the widget
self.file_selector = FilesView(
self.root_path_bind.value,
parent=self.fileSelectorWidget,
on_change_file_callback=lambda file_path: self.onChange_file(
file_path))
# Binds
self.selectDirBtn.clicked.connect(
lambda: self.on_click_select_directory(self.root_path_bind))
self.datalessBtn.clicked.connect(
lambda: self.on_click_select_file(self.dataless_path_bind))
# Action Buttons
self.actionSettings.triggered.connect(
lambda: self.open_parameters_settings())
self.actionOpen_Help.triggered.connect(lambda: self.open_help())
self.actionOpen_Spectral_Analysis.triggered.connect(
self.time_frequency_advance)
self.plotBtn.clicked.connect(self.plot_seismogram)
self.stationsBtn.clicked.connect(self.stations_info)
# help Documentation
self.help = HelpDoc()
# Parameters settings
self.parameters = ParametersSettings()
def __init__(self, z, r, t):
super(PlotPolarization, self).__init__()
self.setupUi(self)
self._z = z-np.mean(z)
self._r = r-np.mean(r)
self._t = t-np.mean(t)
all_traces = [self._z, self._r, self._t]
self.st = Stream(traces=all_traces)
self._r_max = max(r)
self._t_max = max(t)
self._z_max=max(z)
self.max_value=max([max(abs(z)), max(abs(t)), max(abs(r))])
self.canvas = MatplotlibCanvas(self.plotMatWidget_polarization)
self.canvas2D = MatplotlibCanvas(self.plotMatWidget_polarization2, nrows=2, ncols=2, constrained_layout=True)
self.canvas.figure.gca(projection='3d')
self.plotBtn.clicked.connect(lambda: self.plot_particle())
def __init__(self):
super(FrequencyTimeFrame, self).__init__()
self.setupUi(self)
self.solutions = []
self.periods_now = []
self.colors = ["white", "green", "black"]
self._stations_info = {}
self.parameters = ParametersSettings()
# Binds
self.root_path_bind = BindPyqtObject(self.rootPathForm_2, self.onChange_root_path)
self.canvas_plot1 = MatplotlibCanvas(self.widget_plot_up, ncols=2, sharey = True)
top = 0.900
bottom = 0.180
left = 0.045
right = 0.720
wspace = 0.135
self.canvas_plot1.figure.subplots_adjust(left=left, bottom=bottom, right=right, top=top, wspace=wspace, hspace=0.0)
ax = self.canvas_plot1.get_axe(0)
left,width = 0.2, 0.55
bottom, height = 0.180, 0.72
spacing = 0.02
coords_ax = [left+width+spacing, bottom, 0.2, height]
self.fig = ax.get_figure()
#self.ax_seism1 = self.fig.add_axes(coords_ax, sharey = ax)
self.ax_seism1 = self.fig.add_axes(coords_ax)
self.ax_seism1.yaxis.tick_right()
# Add file selector to the widget
self.file_selector = FilesView(self.root_path_bind.value, parent=self.fileSelectorWidget_2,
on_change_file_callback=lambda file_path: self.onChange_file(file_path))
# Binds
self.selectDirBtn_2.clicked.connect(lambda: self.on_click_select_directory(self.root_path_bind))
# action
self.plotBtn.clicked.connect(self.plot_seismogram)
self.plot2Btn.clicked.connect(self.run_phase_vel)
self.stationsBtn.clicked.connect(self.stations_info)
self.macroBtn.clicked.connect(lambda: self.open_parameters_settings())
# clicks
self.canvas_plot1.on_double_click(self.on_click_matplotlib)
self.canvas_plot1.mpl_connect('key_press_event', self.key_pressed)
def __init__(self, st, inv, t1, t2):
super(Vespagram, self).__init__()
self.setupUi(self)
"""
Vespagram, computed a fixed slowness or backazimuth
:param params required to initialize the class:
"""
self.st = st
self.inv = inv
self.t1 = t1
self.t2 = t2
self.canvas_vespagram = MatplotlibCanvas(self.widget_vespagram,
nrows=2)
self.run_vespaBtn.clicked.connect(self.run_vespa)
self.plotBtn.clicked.connect(self.plot_vespa)
def plot_mt_spectrogram(self, canvas: MatplotlibCanvas):
win = int(self.spectrum_box.win_bind.value *
self.tracer_stats.Sampling_rate)
tbp = self.spectrum_box.tw_bind.value
ntapers = self.spectrum_box.ntapers_bind.value
f_min = self.filter.min_freq
f_max = self.filter.max_freq
ts, te = self.get_time_window()
mtspectrogram = MTspectrogram(self.file_selector.file_path, win, tbp,
ntapers, f_min, f_max)
x, y, log_spectrogram = mtspectrogram.compute_spectrogram(
start_time=ts, end_time=te, trace_filter=self.filter.filter_value)
canvas.plot_contour(x,
y,
log_spectrogram,
axes_index=1,
clabel="Power [dB]",
cmap=plt.get_cmap("jet"))
canvas.set_xlabel(1, "Time (s)")
def __init__(self, parent: pw.QWidget):
super(EarthquakeLocationFrame, self).__init__(parent)
self.setupUi(self)
ParentWidget.set_parent(parent, self)
self.__pick_output_path = PickerManager.get_default_output_path()
self.__dataless_dir = None
self.__nll_manager = None
self.__first_polarity = None
# Map
self.cartopy_canvas = CartopyCanvas(self.widget_map)
# Canvas for Earthquake Location Results
self.residuals_canvas = MatplotlibCanvas(self.plotMatWidget_residuals)
#self.residuals_canvas.figure.subplots_adjust(left = 0.03, bottom = 0.36, right=0.97, top=0.95, wspace=0.2,
# hspace=0.0)
# Canvas for FOCMEC Results
self.focmec_canvas = FocCanvas(self.widget_focmec)
self.grid_latitude_bind = BindPyqtObject(self.gridlatSB)
self.grid_longitude_bind = BindPyqtObject(self.gridlonSB)
self.grid_depth_bind = BindPyqtObject(self.griddepthSB)
self.grid_xnode_bind = BindPyqtObject(self.xnodeSB)
self.grid_ynode_bind = BindPyqtObject(self.ynodeSB)
self.grid_znode_bind = BindPyqtObject(self.znodeSB)
self.grid_dxsize_bind = BindPyqtObject(self.dxsizeSB)
self.grid_dysize_bind = BindPyqtObject(self.dysizeSB)
self.grid_dzsize_bind = BindPyqtObject(self.dzsizeSB)
self.genvelBtn.clicked.connect(lambda: self.on_click_run_vel_to_grid())
self.grdtimeBtn.clicked.connect(
lambda: self.on_click_run_grid_to_time())
self.runlocBtn.clicked.connect(lambda: self.on_click_run_loc())
self.plotmapBtn.clicked.connect(lambda: self.on_click_plot_map())
self.stationsBtn.clicked.connect(
lambda: self.on_click_select_metadata_file())
self.firstpolarityBtn.clicked.connect(self.first_polarity)
self.plotpdfBtn.clicked.connect(self.plot_pdf)
def __init__(self, tr1, tr2):
super(TimeFrequencyAdvance, self).__init__()
self.setupUi(self)
self.spectrum_Widget_Canvas = MatplotlibCanvas(self.spectrumWidget, nrows=2, ncols=2,
sharex=False, constrained_layout=True)
self.spectrum_Widget_Canvas2 = MatplotlibCanvas(self.spectrumWidget2, nrows=1, ncols=1,
sharex=False, constrained_layout=True)
self.coherence_Widget_Canvas = MatplotlibCanvas(self.coherenceWidget, nrows=2, ncols=1, sharex=False,
constrained_layout=True)
self.cross_correlation_Widget_Canvas = MatplotlibCanvas(self.cross_correlationWidget, nrows = 3, ncols = 1)
self.cross_spectrumWidget_Widget_Canvas = MatplotlibCanvas(self.cross_spectrumWidget,nrows = 2, ncols = 1,
sharex=True, constrained_layout=True)
self.plot_spectrumBtn.clicked.connect(self.plot_spectrum)
self.coherenceBtn.clicked.connect(self.coherence)
self.cross_correlationsBtn.clicked.connect(self.plot_correlation)
#self.Cross_spectrumBtn.clicked.connect(self.plot_cross_spectrogram)
self.Cross_scalogramBtn.clicked.connect(self.plot_cross_scalogram)
self.tr1 = tr1
self.tr2 = tr2
def plot_cwt_spectrogram(self, canvas: MatplotlibCanvas):
tr = ObspyUtil.get_tracer_from_file(self.file_selector.file_path)
ts, te = self.get_time_window()
tr.trim(starttime=ts, endtime=te)
tr.detrend(type="demean")
fs = tr.stats.sampling_rate
f_min = 1. / self.spectrum_box.win_bind.value if self.filter.min_freq == 0 else self.filter.min_freq
f_max = self.filter.max_freq
ObspyUtil.filter_trace(tr, self.filter.filter_value, f_min, f_max)
nf = 40
tt = int(self.spectrum_box.win_bind.value *
self.tracer_stats.Sampling_rate)
wmin = self.spectrum_box.w1_bind.value
wmax = self.spectrum_box.w2_bind.value
npts = len(tr.data)
[ba, nConv, frex,
half_wave] = ccwt_ba_fast(npts, self.tracer_stats.Sampling_rate,
f_min, f_max, wmin, wmax, tt, nf)
cf, sc, scalogram = cwt_fast(tr.data, ba, nConv, frex, half_wave, fs)
#scalogram = ccwt(tr.data, self.tracer_stats.Sampling_rate, f_min, f_max, wmin, wmax, tt, nf)
scalogram = np.abs(scalogram)**2
t = np.linspace(0, self.tracer_stats.Delta * npts, npts)
scalogram2 = 10 * (np.log10(scalogram / np.max(scalogram)))
x, y = np.meshgrid(t, np.linspace(f_min, f_max, scalogram2.shape[0]))
max_cwt = np.max(scalogram2)
min_cwt = np.min(scalogram2)
canvas.plot(t[0:len(t) - 1],
cf,
0,
clear_plot=False,
is_twinx=True,
color="red",
linewidth=0.5)
norm = Normalize(vmin=min_cwt, vmax=max_cwt)
canvas.plot_contour(x,
y,
scalogram2,
axes_index=1,
clabel="Power [dB]",
levels=100,
cmap=plt.get_cmap("jet"),
norm=norm)
canvas.set_xlabel(1, "Time (s)")
class MagnitudeCalc(pw.QFrame, UiMagnitudeFrame, metaclass=SettingsLoader):
def __init__(self, origin, inventory, chop):
super(MagnitudeCalc, self).__init__()
self.setupUi(self)
self.spectrum_Widget_Canvas = MatplotlibCanvas(self.spectrumWidget,
nrows=2,
ncols=1,
sharex=False,
constrained_layout=True)
self.event = origin
self.chop = chop
self.inventory = inventory
self.runBtn.clicked.connect(self.run_magnitudes)
self.saveBtn.clicked.connect(self.save_results)
self.plotBtn.clicked.connect(self.plot_comparison)
self.Mw = []
self.Mw_std = []
self.Ms = []
self.Ms_std = []
self.Mb = []
self.Mb_std = []
self.ML = []
self.ML_std = []
self.Mc = []
self.Mc_std = []
self.ML = []
self.ML_std = []
self.Magnitude_Ws = []
self.Mss = []
self.Mcs = []
self.Mcs = []
self.MLs = []
def closeEvent(self, ce):
self.save_values()
def __load__(self):
self.load_values()
def moment_magnitude(self):
density = self.densityDB.value()
vp = self.vpDB.value() * 1000
vs = self.vsDB.value() * 1000
if self.phaseCB.currentText() == 'P-Wave':
radiation_pattern = 0.52
velocity = vp
k = 0.32
elif self.phaseCB.currentText() == "S-Wave":
radiation_pattern = 0.63
velocity = vs
k = 0.21
Mws = []
Mws_std = []
Magnitude_Ws = []
origin_time = self.event.time
moments = []
source_radii = []
corner_frequencies = []
corner_freqs = []
self.spectrum_Widget_Canvas.plot([], [], 0)
ax1 = self.spectrum_Widget_Canvas.get_axe(0)
ax1.cla()
for key in self.chop['Body waves']:
magnitude_dict = self.chop['Body waves'][key]
# Calculate distance
coords = get_coordinates_from_metadata(self.inventory,
magnitude_dict[0])
dist, _, _ = gps2dist_azimuth(coords.Latitude, coords.Longitude,
self.event.latitude,
self.event.longitude)
pick_time = UTCDateTime(mdt.num2date(magnitude_dict[1][0]))
data = np.array(magnitude_dict[2])
delta = 1 / magnitude_dict[0][6]
# Calculate the spectrum.
spec, freq, jackknife_errors, _, _ = mtspec(data,
delta=delta,
time_bandwidth=3.5,
statistics=True)
spec = spec[1:]
freq = freq[1:]
# go to amplitude and displacement
spec = np.sqrt(spec) / (2 * np.pi * freq)
# Plot spectrum
ax1.loglog(freq,
spec,
'0.1',
linewidth=0.5,
color='black',
alpha=0.5)
ax1.set_ylim(spec.min() / 10.0, spec.max() * 100.0)
ax1.set_xlim(freq[1], freq[len(freq) - 1])
ax1.set_ylabel('Amplitude')
ax1.set_xlabel('Frequency [Hz]')
ax1.grid(True, which="both", ls="-", color='grey')
ax1.legend()
# Finish Plot
tt = pick_time - origin_time
#print("Distance",dist,"Vp",vp,"Q",quality,"Density",density, "Travel Time", tt)
# Q as a function of freq
Qo = self.qualityDB.value()
a = self.coeffDB.value()
quality = (Qo) * (freq)**a
try:
fit = fit_spectrum(spec, freq, tt, spec.max(), 10.0, quality)
except:
continue
if fit is None:
continue
Omega_0, f_c, err, _ = fit
# Second Plot
theoretical_spectrum = calculate_source_spectrum(
freq, Omega_0, f_c, quality, tt)
ax1.loglog(freq,
theoretical_spectrum,
color="red",
alpha=0.5,
lw=0.5)
ax1.set_xlim(freq[1], freq[len(freq) - 1])
ax1.set_ylabel('Amplitude')
ax1.set_xlabel('Frequency [Hz]')
ax1.grid(True, which="both", ls="-", color='grey')
corner_freqs.append(f_c)
M_0 = 4.0 * np.pi * density * velocity**3 * dist * np.sqrt(
Omega_0**2) / radiation_pattern
Magnitude_Ws.append(2.0 / 3.0 * (np.log10(M_0) - 9.1))
r = 3 * k * vs / sum(corner_freqs)
moments.append(M_0)
source_radii.append(r)
corner_frequencies.extend(corner_freqs)
# Calculate the seismic moment via basic statistics.
moments = np.array(moments)
moment = moments.mean()
moment_std = moments.std()
corner_frequencies = np.array(corner_frequencies)
corner_frequency = corner_frequencies.mean()
corner_frequency_std = corner_frequencies.std()
# Calculate the source radius.
source_radii = np.array(source_radii)
source_radius = source_radii.mean()
self.source_radius = source_radius
source_radius_std = source_radii.std()
# Calculate the stress drop of the event based on the average moment and
# source radii.
stress_drop = (7 * moment) / (16 * source_radius**3)
stress_drop_std = np.sqrt((stress_drop ** 2) * \
(((moment_std ** 2) / (moment ** 2)) + \
(9 * source_radius * source_radius_std ** 2)))
if source_radius > 0 and source_radius_std < source_radius:
print("Source radius:", source_radius, " Std:", source_radius_std)
print("Stress drop:", stress_drop / 1E5, " Std:",
stress_drop_std / 1E5)
self.stress_drop = stress_drop
self.Magnitude_Ws = Magnitude_Ws
Mw = 2.0 / 3.0 * (np.log10(moment) - 9.1)
Mw_std = 2.0 / 3.0 * moment_std / (moment * np.log(10))
Mws_std.append(Mw_std)
Mws.append(Mw)
print("Moment Magnitude", Mws, "Moment Magnitude deviation", Mws_std)
label = "Mw"
self.plot_histograms(Magnitude_Ws, label)
self.Mw = Mw
self.Mw_std = Mw_std
def magnitude_surface(self):
Ms = []
for key in self.chop['Surf Waves']:
magnitude_dict = self.chop['Surf Waves'][key]
coords = get_coordinates_from_metadata(self.inventory,
magnitude_dict[0])
dist = locations2degrees(coords.Latitude, coords.Longitude,
self.event.latitude, self.event.longitude)
data = np.array(magnitude_dict[2]) * 1e6 # convert to nm
Ms_value = np.log10(np.max(data) /
(2 * np.pi)) + 1.66 * np.log10(dist) + 3.3
Ms.append(Ms_value)
Ms = np.array(Ms)
self.Mss = Ms
Ms_mean = Ms.mean()
Ms_deviation = Ms.std()
print("Surface Magnitude", Ms_mean, "Variance", Ms_deviation)
label = "Ms"
self.plot_histograms(Ms, label)
self.Ms = Ms_mean
self.Ms_std = Ms_deviation
def magnitude_body(self):
Mb = []
path_to_atenuation_file = os.path.join(ROOT_DIR,
"earthquakeAnalisysis",
"magnitude_atenuation",
"atenuation.txt")
x, y = np.loadtxt(path_to_atenuation_file, skiprows=1, unpack=True)
for key in self.chop['Body waves']:
magnitude_dict = self.chop['Body waves'][key]
coords = get_coordinates_from_metadata(self.inventory,
magnitude_dict[0])
dist = locations2degrees(coords.Latitude, coords.Longitude,
self.event.latitude, self.event.longitude)
dist = np.floor(dist)
if dist < 16:
print(
"Epicentral Distance ", dist,
" is less than 16 degrees, Body-wave Magnitude couldn't be calculated"
)
else:
loc = np.where(x == dist)[0][0]
atenuation = y[loc]
data = np.array(magnitude_dict[2]) * 1e6 # convert to nm
Mb_value = (np.log10(np.max(data)) / (2 * np.pi)) + atenuation
Mb.append(Mb_value)
Mbs = np.array(Mb)
Mb_mean = Mbs.mean()
Mb_deviation = Mb.std()
self.Mb = Mb_mean
self.Mb_std = Mb_deviation
print("Body Magnitude", Mb_mean, "Variance", Mb_deviation)
label = "Mb"
self.Mbs = Mbs
if len(Mb) > 0:
self.plot_histograms(Mb, label)
def magnitude_coda(self):
Mc = []
# values for california
a = 2.0
b = 0.0035
c = -0.87
#
for key in self.chop['Coda']:
magnitude_dict = self.chop['Coda'][key]
coords = get_coordinates_from_metadata(self.inventory,
magnitude_dict[0])
dist, _, _ = gps2dist_azimuth(coords.Latitude, coords.Longitude,
self.event.latitude,
self.event.longitude)
dist = dist / 1000
#data = np.array(magnitude_dict[2])
pick_time = UTCDateTime(mdt.num2date(magnitude_dict[1][0]))
end_time = UTCDateTime(mdt.num2date(magnitude_dict[1][-1]))
t_coda = end_time - pick_time
Mc_value = a * np.log10(t_coda) + b * dist + c
Mc_value = Mc_value
Mc.append(Mc_value)
Mcs = np.array(Mc)
Mc_mean = Mcs.mean()
Mc_deviation = Mcs.std()
print("Coda Magnitude", Mc_mean, "Variance", Mc_deviation)
label = "Mc"
self.plot_histograms(Mc, label)
self.Mcs = Mcs
self.Mc = Mc_mean
self.Mc_std = Mc_deviation
def magnitude_local(self):
ML = []
for key in self.chop['Body waves']:
magnitude_dict = self.chop['Body waves'][key]
coords = get_coordinates_from_metadata(self.inventory,
magnitude_dict[0])
dist, _, _ = gps2dist_azimuth(coords.Latitude, coords.Longitude,
self.event.latitude,
self.event.longitude)
dist = dist / 1000
data = np.array(
magnitude_dict[2]
) # already converted Wood Anderson (Gain in mm 2800 +-60)
max_amplitude = np.max(data) * 1e3 # convert to mm --> nm
ML_value = np.log10(
max_amplitude) + 1.11 * np.log10(dist) + 0.00189 * dist - 2.09
ML.append(ML_value)
MLs = np.array(ML)
ML_mean = MLs.mean()
ML_deviation = MLs.std()
print("Local Magnitude", ML_mean, "Variance", ML_deviation)
label = "ML"
self.MLs = MLs
self.plot_histograms(ML, label)
self.ML = ML_mean
self.ML_std = ML_deviation
def run_magnitudes(self):
self.spectrum_Widget_Canvas.plot([], [], 1)
self.ax2 = self.spectrum_Widget_Canvas.get_axe(1)
self.ax2.cla()
if self.local_magnitudeRB.isChecked():
print("Calculating Local Magnitude")
try:
self.magnitude_local()
except:
pass
if self.magnitudesRB.isChecked():
try:
if self.body_waveCB.isChecked():
print("Calculating Body-Wave Magnitude")
self.magnitude_body()
except:
pass
try:
if self.surface_waveCB.isChecked():
print("Calculating Surface-Wave Magnitude")
self.magnitude_surface()
except:
pass
try:
if self.moment_magnitudeCB.isChecked():
print("Calculating Moment Magnitude")
self.moment_magnitude()
except:
pass
try:
if self.coda_magnitudeCB.isChecked():
print("Coda Moment Magnitude")
self.magnitude_coda()
except:
pass
self.print_magnitudes_results()
def print_magnitudes_results(self):
self.magnitudesText.setPlainText(" Magnitudes Estimation Results ")
try:
if self.Mw:
self.magnitudesText.appendPlainText(
"Moment Magnitude: "
" Mw {Mw:.3f} "
" std {std:.3f} "
"Source Radious {source:.3f} "
"Stress Drop {stress:.3E} ".format(
Mw=self.Mw,
std=self.Mw_std,
source=self.source_radius / 1000,
stress=self.stress_drop))
except:
pass
try:
if self.Ms:
self.magnitudesText.appendPlainText("Surface-Wave Magnitude: "
" Ms {Ms:.3f} "
" std {std:.3f} ".format(
Ms=self.Ms,
std=self.Ms_std))
except:
pass
try:
if self.Mb:
self.magnitudesText.appendPlainText("Body-Wave Magnitude: "
" Mb {Mb:.3f} "
" std {std:.3f} ".format(
Mb=self.Mb,
std=self.Mb_std))
except:
pass
try:
if self.Mc:
self.magnitudesText.appendPlainText("Coda Magnitude: "
" Mc {Mc:.3f} "
" std {std:.3f} ".format(
Mc=self.Mc,
std=self.Mc_std))
except:
pass
try:
if self.ML:
self.magnitudesText.appendPlainText("Coda Magnitude: "
" ML {ML:.3f} "
" std {std:.3f} ".format(
ML=self.ML,
std=self.ML_std))
except:
pass
def save_results(self):
import pandas as pd
path_output = os.path.join(ROOT_DIR, "earthquakeAnalisysis",
"location_output", "loc",
"magnitudes_output.mag")
Magnitude_results = {
'Magnitudes': [
"Mw", "Mw_std", "Ms", "Ms_std", "Mb", "Mb_std", "Mc", "Mc_std",
"ML", "ML_std"
],
'results': [
self.Mw, self.Mw_std, self.Ms, self.Ms_std, self.Mb,
self.Mb_std, self.Mc, self.Mc_std, self.ML, self.ML_std
]
}
df = pd.DataFrame(Magnitude_results, columns=['Magnitudes', 'results'])
print(df)
df.to_csv(path_output, sep=' ', index=False)
def plot_histograms(self, magnitudes, label):
self.ax2.hist(magnitudes,
bins=4 * len(magnitudes),
alpha=0.5,
label=label)
self.ax2.set_xlabel("Magnitude", size=12)
self.ax2.set_ylabel("Count", size=12)
self.ax2.legend(loc='upper right')
def plot_comparison(self):
import matplotlib.pyplot as plt
from isp.Gui.Frames import MatplotlibFrame
list_magnitudes = []
labels = []
if len(self.Magnitude_Ws) >= 0:
list_magnitudes.append(self.Magnitude_Ws)
labels.append("Mw")
if len(self.Mss) >= 0:
list_magnitudes.append(self.Mss)
labels.append("Ms")
if len(self.Mcs) >= 0:
list_magnitudes.append(self.Mcs)
labels.append("Mc")
if len(self.MLs) >= 0:
labels.append("ML")
list_magnitudes.append(self.MLs)
fig, ax1 = plt.subplots(figsize=(6, 6))
self.mpf = MatplotlibFrame(fig)
k = 0
for magnitude in list_magnitudes:
label = labels[k]
x = np.arange(len(magnitude)) + 1
ax1.scatter(x, magnitude, s=15, alpha=0.5, label=label)
ax1.tick_params(direction='in', labelsize=10)
ax1.legend(loc='upper right')
plt.ylabel('Magnitudes', fontsize=10)
plt.xlabel('Counts', fontsize=10)
k = k + 1
self.mpf.show()
class EarthquakeLocationFrame(pw.QFrame, UiEarthquakeLocationFrame):
def __init__(self, parent: pw.QWidget):
super(EarthquakeLocationFrame, self).__init__(parent)
self.setupUi(self)
ParentWidget.set_parent(parent, self)
self.__pick_output_path = PickerManager.get_default_output_path()
self.__dataless_dir = None
self.__nll_manager = None
self.__first_polarity = None
# Map
self.cartopy_canvas = CartopyCanvas(self.widget_map)
# Canvas for Earthquake Location Results
self.residuals_canvas = MatplotlibCanvas(self.plotMatWidget_residuals)
#self.residuals_canvas.figure.subplots_adjust(left = 0.03, bottom = 0.36, right=0.97, top=0.95, wspace=0.2,
# hspace=0.0)
# Canvas for FOCMEC Results
self.focmec_canvas = FocCanvas(self.widget_focmec)
self.grid_latitude_bind = BindPyqtObject(self.gridlatSB)
self.grid_longitude_bind = BindPyqtObject(self.gridlonSB)
self.grid_depth_bind = BindPyqtObject(self.griddepthSB)
self.grid_xnode_bind = BindPyqtObject(self.xnodeSB)
self.grid_ynode_bind = BindPyqtObject(self.ynodeSB)
self.grid_znode_bind = BindPyqtObject(self.znodeSB)
self.grid_dxsize_bind = BindPyqtObject(self.dxsizeSB)
self.grid_dysize_bind = BindPyqtObject(self.dysizeSB)
self.grid_dzsize_bind = BindPyqtObject(self.dzsizeSB)
self.genvelBtn.clicked.connect(lambda: self.on_click_run_vel_to_grid())
self.grdtimeBtn.clicked.connect(
lambda: self.on_click_run_grid_to_time())
self.runlocBtn.clicked.connect(lambda: self.on_click_run_loc())
self.plotmapBtn.clicked.connect(lambda: self.on_click_plot_map())
self.stationsBtn.clicked.connect(
lambda: self.on_click_select_metadata_file())
self.firstpolarityBtn.clicked.connect(self.first_polarity)
self.plotpdfBtn.clicked.connect(self.plot_pdf)
@property
def nll_manager(self):
if not self.__nll_manager:
self.__nll_manager = NllManager(self.__pick_output_path,
self.__dataless_dir)
return self.__nll_manager
@property
def firstpolarity_manager(self):
if not self.__first_polarity:
self.__first_polarity = FirstPolarity()
return self.__first_polarity
def on_click_select_metadata_file(self):
selected = pw.QFileDialog.getOpenFileName(
self, "Select metadata/stations coordinates file")
if isinstance(selected[0], str) and os.path.isfile(selected[0]):
self.stationsPath.setText(selected[0])
self.set_dataless_dir(self.stationsPath.text())
def set_dataless_dir(self, dir_path):
self.__dataless_dir = dir_path
self.nll_manager.set_dataless_dir(dir_path)
def set_pick_output_path(self, file_path):
self.__pick_output_path = file_path
self.nll_manager.set_observation_file(file_path)
def info_message(self, msg, detailed_message=None):
md = MessageDialog(self)
md.set_info_message(msg, detailed_message)
def subprocess_feedback(self, err_msg: str, set_default_complete=True):
"""
This method is used as a subprocess feedback. It runs when a raise expect is detected.
:param err_msg: The error message from the except.
:param set_default_complete: If True it will set a completed successfully message. Otherwise nothing will
be displayed.
:return:
"""
if err_msg:
md = MessageDialog(self)
if "Error code" in err_msg:
md.set_error_message(
"Click in show details detail for more info.", err_msg)
else:
md.set_warning_message("Click in show details for more info.",
err_msg)
else:
if set_default_complete:
md = MessageDialog(self)
md.set_info_message("Completed Successfully.")
@parse_excepts(lambda self, msg: self.subprocess_feedback(msg))
def on_click_run_vel_to_grid(self):
self.nll_manager.vel_to_grid(
self.grid_latitude_bind.value, self.grid_longitude_bind.value,
self.grid_depth_bind.value, self.grid_xnode_bind.value,
self.grid_ynode_bind.value, self.grid_znode_bind.value,
self.grid_dxsize_bind.value, self.grid_dysize_bind.value,
self.grid_dzsize_bind.value, self.comboBox_gridtype.currentText(),
self.comboBox_wavetype.currentText(), self.modelCB.currentText())
@parse_excepts(lambda self, msg: self.subprocess_feedback(msg))
def on_click_run_grid_to_time(self):
if self.distanceSB.value() > 0:
limit = self.distanceSB.value()
else:
limit = np.sqrt(
(self.grid_xnode_bind.value * self.grid_dxsize_bind.value)**2 +
(self.grid_xnode_bind.value * self.grid_dxsize_bind.value)**2)
self.nll_manager.grid_to_time(self.grid_latitude_bind.value,
self.grid_longitude_bind.value,
self.grid_depth_bind.value,
self.comboBox_grid.currentText(),
self.comboBox_angles.currentText(),
self.comboBox_ttwave.currentText(),
limit)
@parse_excepts(lambda self, msg: self.subprocess_feedback(
msg, set_default_complete=False))
def on_click_run_loc(self):
transform = self.transCB.currentText()
std_out = self.nll_manager.run_nlloc(self.grid_latitude_bind.value,
self.grid_longitude_bind.value,
self.grid_depth_bind.value,
transform)
self.info_message("Location complete. Check details.", std_out)
@parse_excepts(lambda self, msg: self.subprocess_feedback(msg))
def on_click_plot_map(self):
origin = self.nll_manager.get_NLL_info()
scatter_x, scatter_y, scatter_z, pdf = self.nll_manager.get_NLL_scatter(
)
lat = origin.latitude
lon = origin.longitude
stations = self.nll_manager.stations_match()
self.cartopy_canvas.plot_map(lon,
lat,
scatter_x,
scatter_y,
scatter_z,
0,
resolution='high',
stations=stations)
# Writing Location information
self.add_earthquake_info(origin)
xp, yp, xs, ys = self.nll_manager.ger_NLL_residuals()
self.plot_residuals(xp, yp, xs, ys)
def plot_pdf(self):
scatter_x, scatter_y, scatter_z, pdf = self.nll_manager.get_NLL_scatter(
)
self.pdf = PDFmanger(scatter_x, scatter_y, scatter_z, pdf)
self.pdf.plot_scatter()
def plot_residuals(self, xp, yp, xs, ys):
artist = self.residuals_canvas.plot(xp,
yp,
axes_index=0,
linewidth=0.5)
self.residuals_canvas.set_xlabel(0, "Station")
self.residuals_canvas.set_ylabel(0, "P wave Res")
self.residuals_canvas.set_yaxis_color(self.residuals_canvas.get_axe(0),
artist.get_color(),
is_left=True)
self.residuals_canvas.plot(xs,
ys,
0,
is_twinx=True,
color="red",
linewidth=0.5)
self.residuals_canvas.set_ylabel_twinx(0, "S wave Res")
self.residuals_canvas.plot(xp, yp, axes_index=0, linewidth=0.5)
def first_polarity(self):
import pandas as pd
path_output = os.path.join(ROOT_DIR, "earthquakeAnalisysis",
"location_output", "loc",
"first_polarity.fp")
self.firstpolarity_manager.create_input()
self.firstpolarity_manager.run_focmec()
Station, Az, Dip, Motion = self.firstpolarity_manager.get_dataframe()
cat, Plane_A = self.firstpolarity_manager.extract_focmec_info()
#print(cat[0].focal_mechanisms[0])
strike_A = Plane_A.strike
dip_A = Plane_A.dip
rake_A = Plane_A.rake
misfit_first_polarity = cat[0].focal_mechanisms[0].misfit
azimuthal_gap = cat[0].focal_mechanisms[0].azimuthal_gap
number_of_polarities = cat[0].focal_mechanisms[
0].station_polarity_count
first_polarity_results = {
"First_Polarity": [
"Strike", "Dip", "Rake", "misfit_first_polarity",
"azimuthal_gap", "number_of_polarities"
],
"results": [
strike_A, dip_A, rake_A, misfit_first_polarity, azimuthal_gap,
number_of_polarities
]
}
df = pd.DataFrame(first_polarity_results,
columns=["First_Polarity", "results"])
df.to_csv(path_output, sep=' ', index=False)
self.focmec_canvas.drawFocMec(strike_A, dip_A, rake_A, Station, Az,
Dip, Motion, 0)
self.add_first_polarity_info(first_polarity_results)
def add_first_polarity_info(self, first_polarity_results):
self.FirstPolarityInfoText.setPlainText("First Polarity Results")
self.FirstPolarityInfoText.appendPlainText(
"Strike: {Strike:.3f}".format(
Strike=first_polarity_results["results"][0]))
self.FirstPolarityInfoText.appendPlainText(
"Dip: {Dip:.3f}".format(Dip=first_polarity_results["results"][1]))
self.FirstPolarityInfoText.appendPlainText("Rake: {Rake:.3f}".format(
Rake=first_polarity_results["results"][2]))
self.FirstPolarityInfoText.appendPlainText(
"Misfit: {Misfit:.3f}".format(
Misfit=first_polarity_results["results"][3]))
self.FirstPolarityInfoText.appendPlainText(
"GAP: {GAP:.3f}".format(GAP=first_polarity_results["results"][4]))
self.FirstPolarityInfoText.appendPlainText(
"Number of polarities: {NP:.3f}".format(
NP=first_polarity_results["results"][5]))
def add_earthquake_info(self, origin: Origin):
self.EarthquakeInfoText.setPlainText(
" Origin time and RMS: {origin_time} {standard_error:.3f}"
.format(origin_time=origin.time,
standard_error=origin.quality.standard_error))
self.EarthquakeInfoText.appendPlainText(
" Hypocenter Geographic Coordinates: "
"Latitude {lat:.3f} "
"Longitude {long:.3f} Depth {depth:.3f} "
"Uncertainty {unc:.3f}".format(
lat=origin.latitude,
long=origin.longitude,
depth=origin.depth / 1000,
unc=origin.depth_errors['uncertainty']))
self.EarthquakeInfoText.appendPlainText(
" Horizontal Ellipse: Max Horizontal Err {:.3f} "
"Min Horizontal Err {:.3f} "
"Azimuth {:.3f}".format(
origin.origin_uncertainty.max_horizontal_uncertainty,
origin.origin_uncertainty.min_horizontal_uncertainty,
origin.origin_uncertainty.azimuth_max_horizontal_uncertainty))
self.EarthquakeInfoText.appendPlainText(
" Quality Parameters: Number of Phases {:.3f} "
"Azimuthal GAP {:.3f} Minimum Distance {:.3f} "
"Maximum Distance {:.3f}".format(origin.quality.used_phase_count,
origin.quality.azimuthal_gap,
origin.quality.minimum_distance,
origin.quality.maximum_distance))
class Vespagram(pw.QFrame, UiVespagram):
def __init__(self, st, inv, t1, t2):
super(Vespagram, self).__init__()
self.setupUi(self)
"""
Vespagram, computed a fixed slowness or backazimuth
:param params required to initialize the class:
"""
self.st = st
self.inv = inv
self.t1 = t1
self.t2 = t2
self.canvas_vespagram = MatplotlibCanvas(self.widget_vespagram,
nrows=2)
self.run_vespaBtn.clicked.connect(self.run_vespa)
self.plotBtn.clicked.connect(self.plot_vespa)
def closeEvent(self, ce):
self.save_values()
def __load__(self):
self.load_values()
#@AsycTime.run_async()
def run_vespa(self):
vespa = vespagram_util(self.st,
self.freq_min_DB.value(),
self.freq_max_DB.value(),
self.win_len_DB.value(),
self.slownessDB.value(),
self.backazimuthCB.value(),
self.inv,
self.t1,
self.t2,
self.overlapSB.value(),
selection=self.selectionCB.currentText(),
method="FK")
self.x, self.y, self.log_vespa_spectrogram = vespa.vespa_deg()
md = MessageDialog(self)
md.set_info_message("Vespagram Estimated !!!")
def plot_vespa(self):
if self.selectionCB.currentText() == "Slowness":
self.__plot_vespa_slow()
else:
self.__plot_vespa_az()
def __plot_vespa_slow(self):
base_line = self.base_lineDB.value()
colour = self.colourCB.currentText()
#vespagram = np.clip(self.log_vespa_spectrogram, a_min=base_line, a_max=0)
vespagram = np.clip(self.log_vespa_spectrogram, a_min=0, a_max=1)
self.canvas_vespagram.plot_contour(self.x,
self.y,
vespagram,
axes_index=0,
clabel="Rel. Power",
cmap=plt.get_cmap(colour))
self.canvas_vespagram.set_xlabel(0, "Time (s)")
self.canvas_vespagram.set_ylabel(0, "Azimuth")
def __plot_vespa_az(self):
base_line = self.base_lineDB.value()
colour = self.colourCB.currentText()
#vespagram = np.clip(self.log_vespa_spectrogram, a_min=base_line, a_max=0)
vespagram = np.clip(self.log_vespa_spectrogram, a_min=0, a_max=1)
self.canvas_vespagram.plot_contour(self.x,
self.y,
vespagram,
axes_index=1,
clabel="Rel Power",
cmap=plt.get_cmap(colour))
self.canvas_vespagram.set_xlabel(1, "Time (s)")
self.canvas_vespagram.set_ylabel(1, "Slowness (s/km)")
class Earthquake3CFrame(pw.QFrame, UiEarthquake3CFrame):
def __init__(self, parent: pw.QWidget):
super(Earthquake3CFrame, self).__init__(parent)
self.setupUi(self)
ParentWidget.set_parent(parent, self)
#Initialize parametrs for plot rotation
self._z = {}
self._r = {}
self._t = {}
self._st = {}
self.inventory = {}
#self.filter_3ca = FilterBox(self.toolQFrame, 1) # add filter box component.
self.parameters = ParametersSettings()
# 3C_Component
self.canvas = MatplotlibCanvas(self.plotMatWidget_3C)
self.canvas.set_new_subplot(3, ncols=1)
self.canvas_pol = MatplotlibCanvas(self.Widget_polarization)
self.canvas.mpl_connect('key_press_event', self.key_pressed)
# binds
self.root_path_bind_3C = BindPyqtObject(self.rootPathForm_3C,
self.onChange_root_path_3C)
self.degreeSB_bind = BindPyqtObject(self.degreeSB)
self.vertical_form_bind = BindPyqtObject(self.verticalQLineEdit)
self.north_form_bind = BindPyqtObject(self.northQLineEdit)
self.east_form_bind = BindPyqtObject(self.eastQLineEdit)
# accept drops
self.vertical_form_bind.accept_dragFile(
drop_event_callback=self.drop_event)
self.north_form_bind.accept_dragFile(
drop_event_callback=self.drop_event)
self.east_form_bind.accept_dragFile(
drop_event_callback=self.drop_event)
# Add file selector to the widget
self.file_selector = FilesView(self.root_path_bind_3C.value,
parent=self.fileSelectorWidget)
self.file_selector.setDragEnabled(True)
self.selectDirBtn_3C.clicked.connect(self.on_click_select_directory_3C)
self.rotateplotBtn.clicked.connect(
lambda: self.on_click_rotate(self.canvas))
self.rot_macroBtn.clicked.connect(
lambda: self.open_parameters_settings())
self.polarizationBtn.clicked.connect(self.on_click_polarization)
###
self.plotpolBtn.clicked.connect(self.plot_particle_motion)
self.stationsBtn.clicked.connect(self.stationsInfo)
self.save_rotatedBtn.clicked.connect(self.save_rotated)
###
def open_parameters_settings(self):
self.parameters.show()
def info_message(self, msg):
md = MessageDialog(self)
md.set_info_message(msg)
@staticmethod
def drop_event(event: pqg.QDropEvent, bind_object: BindPyqtObject):
data = event.mimeData()
url = data.urls()[0]
bind_object.value = url.fileName()
@property
def north_component_file(self):
return os.path.join(self.root_path_bind_3C.value,
self.north_form_bind.value)
@property
def vertical_component_file(self):
return os.path.join(self.root_path_bind_3C.value,
self.vertical_form_bind.value)
@property
def east_component_file(self):
return os.path.join(self.root_path_bind_3C.value,
self.east_form_bind.value)
def onChange_root_path_3C(self, value):
"""
Fired every time the root_path is changed
:param value: The path of the new directory.
:return:
"""
self.file_selector.set_new_rootPath(value)
# Function added for 3C Components
def on_click_select_directory_3C(self):
if "darwin" == platform:
dir_path = pw.QFileDialog.getExistingDirectory(
self, 'Select Directory', self.root_path_bind_3C.value)
else:
dir_path = pw.QFileDialog.getExistingDirectory(
self, 'Select Directory', self.root_path_bind_3C.value,
pw.QFileDialog.DontUseNativeDialog)
if dir_path:
self.root_path_bind_3C.value = dir_path
def set_times(self, st):
max_start = np.max([tr.stats.starttime for tr in st])
min_end = np.min([tr.stats.endtime for tr in st])
return min_end, max_start
def on_click_rotate(self, canvas):
time1 = convert_qdatetime_utcdatetime(self.dateTimeEdit_4)
time2 = convert_qdatetime_utcdatetime(self.dateTimeEdit_5)
angle = self.degreeSB.value()
incidence_angle = self.incidenceSB.value()
method = self.methodCB.currentText()
parameters = self.parameters.getParameters()
try:
sd = PolarizationAnalyis(self.vertical_component_file,
self.north_component_file,
self.east_component_file)
time, z, r, t, st = sd.rotate(self.inventory,
time1,
time2,
angle,
incidence_angle,
method=method,
parameters=parameters,
trim=True)
self._z = z
self._r = r
self._t = t
self._st = st
rotated_seismograms = [z, r, t]
for index, data in enumerate(rotated_seismograms):
self.canvas.plot(time,
data,
index,
color="black",
linewidth=0.5)
info = "{}.{}.{}".format(self._st[index].stats.network,
self._st[index].stats.station,
self._st[index].stats.channel)
ax = self.canvas.get_axe(0)
ax.set_xlim(sd.t1.matplotlib_date, sd.t2.matplotlib_date)
formatter = mdt.DateFormatter('%Y/%m/%d/%H:%M:%S')
ax.xaxis.set_major_formatter(formatter)
self.canvas.set_plot_label(index, info)
canvas.set_xlabel(2, "Time (s)")
except InvalidFile:
self.info_message(
"Invalid mseed files. Please, make sure to select all the three components (Z, N, E) "
"for rotate.")
except ValueError as error:
self.info_message(str(error))
def on_click_polarization(self):
time1 = convert_qdatetime_utcdatetime(self.dateTimeEdit_4)
time2 = convert_qdatetime_utcdatetime(self.dateTimeEdit_5)
sd = PolarizationAnalyis(self.vertical_component_file,
self.north_component_file,
self.east_component_file)
try:
var = sd.polarize(time1, time2, self.doubleSpinBox_winlen.value(),
self.freq_minDB.value(), self.freq_maxDB.value())
artist = self.canvas_pol.plot(
var['time'],
var[self.comboBox_yaxis.currentText()],
0,
clear_plot=True,
linewidth=0.5)
self.canvas_pol.set_xlabel(0, "Time [s]")
self.canvas_pol.set_ylabel(0, self.comboBox_yaxis.currentText())
self.canvas_pol.set_yaxis_color(self.canvas_pol.get_axe(0),
artist.get_color(),
is_left=True)
self.canvas_pol.plot(var['time'],
var[self.comboBox_polarity.currentText()],
0,
is_twinx=True,
color="red",
linewidth=0.5)
self.canvas_pol.set_ylabel_twinx(
0, self.comboBox_polarity.currentText())
except InvalidFile:
self.info_message(
"Invalid mseed files. Please, make sure to select all the three components (Z, N, E) "
"for polarization.")
except ValueError as error:
self.info_message(str(error))
def plot_particle_motion(self):
self._plot_polarization = PlotPolarization(self._z, self._r, self._t)
self._plot_polarization.show()
def stationsInfo(self):
files = []
try:
if self.vertical_component_file and self.north_component_file and self.east_component_file:
files = [
self.vertical_component_file, self.north_component_file,
self.east_component_file
]
except:
pass
sd = []
if len(files) == 3:
for file in files:
try:
st = SeismogramDataAdvanced(file)
station = [
st.stats.Network, st.stats.Station, st.stats.Location,
st.stats.Channel, st.stats.StartTime, st.stats.EndTime,
st.stats.Sampling_rate, st.stats.Npts
]
sd.append(station)
except:
pass
self._stations_info = StationsInfo(sd)
self._stations_info.show()
def save_rotated(self):
import os
root_path = os.path.dirname(os.path.abspath(__file__))
if "darwin" == platform:
dir_path = pw.QFileDialog.getExistingDirectory(
self, 'Select Directory', root_path)
else:
dir_path = pw.QFileDialog.getExistingDirectory(
self, 'Select Directory', root_path,
pw.QFileDialog.DontUseNativeDialog)
if self._st:
n = len(self._st)
for j in range(n):
tr = self._st[j]
t1 = tr.stats.starttime
id = tr.id + "." + "D" + "." + str(t1.year) + "." + str(
t1.julday)
print(tr.id, "Writing data processed")
path_output = os.path.join(dir_path, id)
tr.write(path_output, format="MSEED")
def key_pressed(self, event):
if event.key == 'q':
x1, y1 = event.xdata, event.ydata
tt = UTCDateTime(mdt.num2date(x1))
set_qdatetime(tt, self.dateTimeEdit_4)
self.canvas.draw_arrow(x1,
0,
arrow_label="st",
color="purple",
linestyles='--',
picker=False)
self.canvas.draw_arrow(x1,
1,
arrow_label="st",
color="purple",
linestyles='--',
picker=False)
self.canvas.draw_arrow(x1,
2,
arrow_label="st",
color="purple",
linestyles='--',
picker=False)
if event.key == 'e':
x1, y1 = event.xdata, event.ydata
tt = UTCDateTime(mdt.num2date(x1))
set_qdatetime(tt, self.dateTimeEdit_5)
self.canvas.draw_arrow(x1,
0,
arrow_label="et",
color="purple",
linestyles='--',
picker=False)
self.canvas.draw_arrow(x1,
1,
arrow_label="st",
color="purple",
linestyles='--',
picker=False)
self.canvas.draw_arrow(x1,
2,
arrow_label="st",
color="purple",
linestyles='--',
picker=False)
def __init__(self):
super(RealTimeFrame, self).__init__()
self.setupUi(self)
self.setWindowIcon(pqg.QIcon(':\\icons\\map-icon.png'))
self.widget_map = None
self.settings_dialog = SettingsDialog(self)
self.inventory = {}
self.files = []
self.events_times = []
self.total_items = 0
self.items_per_page = 1
self.__dataless_manager = None
self.__metadata_manager = None
self.st = None
self.client = None
self.stations_available = []
self.data_dict = {}
self.dataless_not_found = set(
) # a set of mseed files that the dataless couldn't find.
self.metadata_path_bind = BindPyqtObject(self.datalessPathForm,
self.onChange_metadata_path)
self.canvas = MatplotlibCanvas(self.plotMatWidget,
nrows=self.numTracesCB.value(),
constrained_layout=False)
self.canvas.figure.tight_layout()
self.timer_outdated = pyc.QTimer()
self.timer_outdated.setInterval(1000) # 1 second
self.timer_outdated.timeout.connect(self.outdated_stations)
# Binding
self.root_path_bind = BindPyqtObject(self.rootPathForm)
self.dataless_path_bind = BindPyqtObject(self.datalessPathForm)
# Bind
self.selectDirBtn.clicked.connect(
lambda: self.on_click_select_directory(self.root_path_bind))
#self.selectDatalessDirBtn.clicked.connect(lambda: self.on_click_select_directory(self.dataless_path_bind))
self.metadata_path_bind = BindPyqtObject(self.datalessPathForm,
self.onChange_metadata_path)
self.selectDatalessDirBtn.clicked.connect(
lambda: self.on_click_select_metadata_file(self.metadata_path_bind
))
self.actionSet_Parameters.triggered.connect(
lambda: self.open_parameters_settings())
self.mapBtn.clicked.connect(self.show_map)
# self.__metadata_manager = MetadataManager(self.dataless_path_bind.value)
self.actionSet_Parameters.triggered.connect(
lambda: self.open_parameters_settings())
self.actionArray_Anlysis.triggered.connect(self.open_array_analysis)
self.actionMoment_Tensor_Inversion.triggered.connect(
self.open_moment_tensor)
self.actionTime_Frequency_Analysis.triggered.connect(
self.time_frequency_analysis)
self.actionReceiver_Functions.triggered.connect(
self.open_receiver_functions)
self.actionOpen_Settings.triggered.connect(
lambda: self.settings_dialog.show())
self.actionOpen_Help.triggered.connect(lambda: self.open_help())
self.RetrieveBtn.clicked.connect(self.retrieve_data)
self.stopBtn.clicked.connect(self.stop)
# Parameters settings
self.parameters = ParametersSettings()
# Earth Model Viewer
self.earthmodel = EarthModelViewer()
# help Documentation
self.help = HelpDoc()
class RealTimeFrame(BaseFrame, UiRealTimeFrame):
def __init__(self):
super(RealTimeFrame, self).__init__()
self.setupUi(self)
self.setWindowIcon(pqg.QIcon(':\\icons\\map-icon.png'))
self.widget_map = None
self.settings_dialog = SettingsDialog(self)
self.inventory = {}
self.files = []
self.events_times = []
self.total_items = 0
self.items_per_page = 1
self.__dataless_manager = None
self.__metadata_manager = None
self.st = None
self.client = None
self.stations_available = []
self.data_dict = {}
self.dataless_not_found = set(
) # a set of mseed files that the dataless couldn't find.
self.metadata_path_bind = BindPyqtObject(self.datalessPathForm,
self.onChange_metadata_path)
self.canvas = MatplotlibCanvas(self.plotMatWidget,
nrows=self.numTracesCB.value(),
constrained_layout=False)
self.canvas.figure.tight_layout()
self.timer_outdated = pyc.QTimer()
self.timer_outdated.setInterval(1000) # 1 second
self.timer_outdated.timeout.connect(self.outdated_stations)
# Binding
self.root_path_bind = BindPyqtObject(self.rootPathForm)
self.dataless_path_bind = BindPyqtObject(self.datalessPathForm)
# Bind
self.selectDirBtn.clicked.connect(
lambda: self.on_click_select_directory(self.root_path_bind))
#self.selectDatalessDirBtn.clicked.connect(lambda: self.on_click_select_directory(self.dataless_path_bind))
self.metadata_path_bind = BindPyqtObject(self.datalessPathForm,
self.onChange_metadata_path)
self.selectDatalessDirBtn.clicked.connect(
lambda: self.on_click_select_metadata_file(self.metadata_path_bind
))
self.actionSet_Parameters.triggered.connect(
lambda: self.open_parameters_settings())
self.mapBtn.clicked.connect(self.show_map)
# self.__metadata_manager = MetadataManager(self.dataless_path_bind.value)
self.actionSet_Parameters.triggered.connect(
lambda: self.open_parameters_settings())
self.actionArray_Anlysis.triggered.connect(self.open_array_analysis)
self.actionMoment_Tensor_Inversion.triggered.connect(
self.open_moment_tensor)
self.actionTime_Frequency_Analysis.triggered.connect(
self.time_frequency_analysis)
self.actionReceiver_Functions.triggered.connect(
self.open_receiver_functions)
self.actionOpen_Settings.triggered.connect(
lambda: self.settings_dialog.show())
self.actionOpen_Help.triggered.connect(lambda: self.open_help())
self.RetrieveBtn.clicked.connect(self.retrieve_data)
self.stopBtn.clicked.connect(self.stop)
# Parameters settings
self.parameters = ParametersSettings()
# Earth Model Viewer
self.earthmodel = EarthModelViewer()
# help Documentation
self.help = HelpDoc()
# shortcuts
@property
def dataless_manager(self):
if not self.__dataless_manager:
self.__dataless_manager = DatalessManager(
self.dataless_path_bind.value)
return self.__dataless_manager
def message_dataless_not_found(self):
if len(self.dataless_not_found) > 1:
md = MessageDialog(self)
md.set_info_message("Metadata not found.")
else:
for file in self.dataless_not_found:
md = MessageDialog(self)
md.set_info_message("Metadata for {} not found.".format(file))
self.dataless_not_found.clear()
def subprocess_feedback(self, err_msg: str, set_default_complete=True):
"""
This method is used as a subprocess feedback. It runs when a raise expect is detected.
:param err_msg: The error message from the except.
:param set_default_complete: If True it will set a completed successfully message. Otherwise nothing will
be displayed.
:return:
"""
if err_msg:
md = MessageDialog(self)
if "Error code" in err_msg:
md.set_error_message(
"Click in show details detail for more info.", err_msg)
else:
md.set_warning_message("Click in show details for more info.",
err_msg)
else:
if set_default_complete:
md = MessageDialog(self)
md.set_info_message("Loaded Metadata Successfully.")
def open_parameters_settings(self):
self.parameters.show()
def onChange_metadata_path(self, value):
md = MessageDialog(self)
try:
self.__metadata_manager = MetadataManager(value)
self.inventory = self.__metadata_manager.get_inventory()
print(self.inventory)
md.set_info_message(
"Loaded Metadata, please check your terminal for further details"
)
except:
md.set_error_message(
"Something went wrong. Please check your metada file is a correct one"
)
def on_click_select_directory(self, bind: BindPyqtObject):
if "darwin" == platform:
dir_path = pw.QFileDialog.getExistingDirectory(
self, 'Select Directory', bind.value)
else:
dir_path = pw.QFileDialog.getExistingDirectory(
self, 'Select Directory', bind.value,
pw.QFileDialog.DontUseNativeDialog)
if dir_path:
bind.value = dir_path
def on_click_select_metadata_file(self, bind: BindPyqtObject):
selected = pw.QFileDialog.getOpenFileName(self, "Select metadata file")
if isinstance(selected[0], str) and os.path.isfile(selected[0]):
bind.value = selected[0]
def handle_data(self, tr):
# If tr is not valid, discard it
if not tr:
return
s = [tr.stats.network, tr.stats.station, tr.stats.channel]
key = ".".join(s)
outdated_tr = None
if key in self.data_dict.keys():
tr.data = np.float64(tr.data)
current_tr = self.data_dict[key]
# If received trace is in the same day as current, append received to current
if current_tr.stats.endtime.julday == tr.stats.endtime.julday:
self.data_dict[key] = self.data_dict[key] + tr
else:
# TODO: maybe the trace should have all the info and the save file only saves current day
# TODO: so that way data is not erased on day change
# If received trace has a part within current day, add it to current trace and save as outdated and
# trim the trace to contain only next day's data
if current_tr.stats.endtime.julday == tr.stats.starttime.julday:
day_start = datetime.datetime.combine(
tr.stats.endtime.date, datetime.time())
last_day = day_start - datetime.timedelta(microseconds=1)
outdated_tr = current_tr + tr.slice(
tr.stats.starttime, UTCDateTime(last_day), False)
tr.trim(UTCDateTime(day_start), tr.stats.endtime)
# Set new day's trace as current
self.data_dict[key] = tr
else:
# insert New Key
tr.data = np.float64(tr.data)
self.data_dict[key] = tr
self.plot_seismogram()
if self.widget_map is not None:
station_list = self.get_station_info(tr)
self.widget_map.plot_set_stations(station_list)
if self.saveDataCB.isChecked():
if outdated_tr is not None:
self.write_trace(outdated_tr)
self.write_trace(tr)
def outdated_stations(self):
# this method is run every t seconds to check and plot which stations do not send data
outdated_stations = []
outdated_traces = []
# Outdated stations' traces will be erased from current list
for key in list(self.data_dict.keys()):
if self.data_dict[key].stats.endtime + 60 < UTCDateTime.now():
outdated_traces.append(self.data_dict[key])
outdated_stations.append(
self.get_station_info(outdated_traces[-1]))
del self.data_dict[key]
if outdated_stations:
self.widget_map.plot_unset_stations(outdated_stations)
if self.saveDataCB.isChecked():
for tr in outdated_traces:
self.write_trace(tr)
def seedlink_error(self, tr):
print("seedlink_error")
def terminate_data(self, tr):
print("terminate_data")
@AsycTime.run_async()
def retrieve_data(self, e):
self.client = create_client(self.serverAddressForm.text(),
on_data=self.handle_data,
on_seedlink_error=self.seedlink_error,
on_terminate=self.terminate_data)
pyc.QMetaObject.invokeMethod(self.timer_outdated, 'start')
for net in self.netForm.text().split(","):
for sta in self.stationForm.text().split(","):
for chn in self.channelForm.text().split(","):
self.client.select_stream(net, sta, chn)
# self.client.on_data()
self.client.run()
# self.client.get_info(level="ALL")
def plot_seismogram(self):
# TODO: y axis should be independent for each subplot
now = UTCDateTime.now()
start_time = now - self.timewindowSB.value() * 60
end_time = now + 30
self.canvas.set_new_subplot(nrows=self.numTracesCB.value(),
ncols=1,
update=False)
self.canvas.set_xlabel(self.numTracesCB.value() - 1,
"Date",
update=False)
index = 0
parameters = self.parameters.getParameters()
for key, tr in self.data_dict.items():
# sd = SeismogramDataAdvanced(file_path=None, stream=Stream(traces=tr), realtime=True)
sd = SeismogramDataAdvanced(file_path=None,
stream=tr,
realtime=True)
tr = sd.get_waveform_advanced(parameters, self.inventory)
t = tr.times("matplotlib")
s = tr.data
info = "{}.{}.{}".format(tr.stats.network, tr.stats.station,
tr.stats.channel)
self.canvas.plot_date(t,
s,
index,
clear_plot=False,
update=False,
color="black",
fmt='-',
linewidth=0.5)
self.canvas.set_plot_label(index, info)
ax = self.canvas.get_axe(index)
if index == self.numTracesCB.value() - 1:
ax.set_xlim(mdt.num2date(start_time.matplotlib_date),
mdt.num2date(end_time.matplotlib_date))
index = index + 1
formatter = mdt.DateFormatter('%y/%m/%d/%H:%M:%S')
ax.xaxis.set_major_formatter(formatter)
self.canvas.draw()
# pyc.QCoreApplication.instance().processEvents()
def stop(self):
# TODO: not working. Maybe subclassing is necessary
self.client.close()
pyc.QMetaObject.invokeMethod(self.timer_outdated, 'stop')
def write_trace(self, tr):
t1 = tr.stats.starttime
file_name = tr.id + "." + "D" + "." + str(t1.year) + "." + str(
t1.julday)
path_output = os.path.join(self.rootPathForm.text(), file_name)
if os.path.exists(path_output):
temp = tempfile.mkstemp()
tr.write(temp[1], format="MSEED")
with open(path_output, 'ab') as current:
with open(temp[1], 'rb') as temp_bin:
current.write(temp_bin.read())
os.remove(temp[1])
else:
tr.write(path_output, format="MSEED")
def show_map(self):
if self.inventory:
self.widget_map = MapRealTime(self.inventory)
try:
self.widget_map.show()
except:
pass
def get_station_info(self, tr):
coordinates = {}
net_ids = []
sta_ids = []
latitude = []
longitude = []
net_ids.append(tr.stats.network)
sta_ids.append(tr.stats.station)
coords = self.inventory.get_coordinates(tr.id)
latitude.append(coords['latitude'])
longitude.append(coords['longitude'])
net_content = [net_ids, sta_ids, latitude, longitude]
coordinates[tr.stats.network] = net_content
return coordinates
# TODO: this should be generic to be invoked from other windows
def open_array_analysis(self):
self.controller().open_array_window()
def open_moment_tensor(self):
self.controller().open_momentTensor_window()
def time_frequency_analysis(self):
self.controller().open_seismogram_window()
def open_receiver_functions(self):
self.controller().open_receiverFunctions()
def controller(self):
from isp.Gui.controllers import Controller
return Controller()
class EGFFrame(pw.QWidget, UiEGFFrame):
def __init__(self, parameters, settings):
super(EGFFrame, self).__init__()
self.setupUi(self)
self.parameters = parameters
self.settings_dialog = settings
self.progressbar = pw.QProgressDialog(self)
self.progressbar.setWindowTitle('Ambient Noise Tomography')
self.progressbar.setLabelText(" Computing ")
self.progressbar.setWindowIcon(pqg.QIcon(':\icons\map-icon.png'))
self.progressbar.close()
self.inventory = {}
self.files = []
self.total_items = 0
self.items_per_page = 1
self.__dataless_manager = None
self.__metadata_manager = None
self.st = None
self.output = None
self.root_path_bind = BindPyqtObject(self.rootPathForm,
self.onChange_root_path)
self.root_path_bind2 = BindPyqtObject(self.rootPathForm2,
self.onChange_root_path)
self.metadata_path_bind = BindPyqtObject(self.datalessPathForm,
self.onChange_metadata_path)
self.updateBtn.clicked.connect(self.plot_egfs)
self.output_bind = BindPyqtObject(self.outPathForm,
self.onChange_root_path)
self.pagination = Pagination(self.pagination_widget, self.total_items,
self.items_per_page)
self.pagination.set_total_items(0)
self.canvas = MatplotlibCanvas(self.plotMatWidget,
nrows=self.items_per_page,
constrained_layout=False)
self.canvas.set_xlabel(0, "Time (s)")
self.canvas.figure.tight_layout()
# Bind buttons
self.readFilesBtn.clicked.connect(lambda: self.get_now_files())
self.selectDirBtn.clicked.connect(
lambda: self.on_click_select_directory(self.root_path_bind))
self.selectDirBtn2.clicked.connect(
lambda: self.on_click_select_directory(self.root_path_bind2))
self.metadata_path_bind = BindPyqtObject(self.datalessPathForm,
self.onChange_metadata_path)
self.selectDatalessDirBtn.clicked.connect(
lambda: self.on_click_select_file(self.metadata_path_bind))
self.outputBtn.clicked.connect(
lambda: self.on_click_select_directory(self.output_bind))
self.preprocessBtn.clicked.connect(self.run_preprocess)
self.cross_stackBtn.clicked.connect(self.stack)
self.mapBtn.clicked.connect(self.map)
@pyc.Slot()
def _increase_progress(self):
self.progressbar.setValue(self.progressbar.value() + 1)
def filter_error_message(self, msg):
md = MessageDialog(self)
md.set_info_message(msg)
def onChange_root_path(self, value):
"""
Fired every time the root_path is changed
:param value: The path of the new directory.
:return:
"""
# self.read_files(value)
pass
def on_click_select_file(self, bind: BindPyqtObject):
selected = pw.QFileDialog.getOpenFileName(self, "Select metadata file")
if isinstance(selected[0], str) and os.path.isfile(selected[0]):
bind.value = selected[0]
@parse_excepts(lambda self, msg: self.subprocess_feedback(msg))
@AsycTime.run_async()
def onChange_metadata_path(self, value):
try:
self.__metadata_manager = MetadataManager(value)
self.inventory = self.__metadata_manager.get_inventory()
print(self.inventory)
except:
raise FileNotFoundError("The metadata is not valid")
def subprocess_feedback(self, err_msg: str, set_default_complete=True):
"""
This method is used as a subprocess feedback. It runs when a raise expect is detected.
:param err_msg: The error message from the except.
:param set_default_complete: If True it will set a completed successfully message. Otherwise nothing will
be displayed.
:return:
"""
if err_msg:
md = MessageDialog(self)
if "Error code" in err_msg:
md.set_error_message(
"Click in show details detail for more info.", err_msg)
else:
md.set_warning_message("Click in show details for more info.",
err_msg)
else:
if set_default_complete:
md = MessageDialog(self)
md.set_info_message(
"Loaded Metadata, please check your terminal for further details"
)
def on_click_select_directory(self, bind: BindPyqtObject):
if "darwin" == platform:
dir_path = pw.QFileDialog.getExistingDirectory(
self, 'Select Directory', bind.value)
else:
dir_path = pw.QFileDialog.getExistingDirectory(
self, 'Select Directory', bind.value,
pw.QFileDialog.DontUseNativeDialog)
if dir_path:
bind.value = dir_path
def read_files(self, dir_path):
md = MessageDialog(self)
md.hide()
try:
self.progressbar.reset()
self.progressbar.setLabelText(" Reading Files ")
self.progressbar.setRange(0, 0)
with ThreadPoolExecutor(1) as executor:
self.ant = noise_organize(dir_path, self.inventory)
self.ant.send_message.connect(self.receive_messages)
def read_files_callback():
data_map, size, channels = self.ant.create_dict()
print(channels)
pyc.QMetaObject.invokeMethod(self.progressbar, 'accept')
return data_map, size, channels
f = executor.submit(read_files_callback)
self.progressbar.exec()
self.data_map, self.size, self.channels = f.result()
f.cancel()
# self.ant.test()
md.set_info_message("Readed data files Successfully")
except:
md.set_error_message(
"Something went wrong. Please check your data files are correct mseed files"
)
md.show()
def run_preprocess(self):
self.params = self.settings_dialog.getParameters()
self.read_files(self.root_path_bind.value)
self.process()
####################################################################################################################
def process(self):
#
self.process_ant = process_ant(self.output_bind.value, self.params,
self.inventory)
list_raw = self.process_ant.get_all_values(self.data_map)
self.process_ant.create_all_dict_matrix(list_raw, self.channels)
def stack(self):
stack = noisestack(self.output_bind.value)
stack.run_cross_stack()
stack.rotate_horizontals()
@pyc.pyqtSlot(str)
def receive_messages(self, message):
self.listWidget.addItem(message)
def get_files_at_page(self):
n_0 = (self.pagination.current_page -
1) * self.pagination.items_per_page
n_f = n_0 + self.pagination.items_per_page
return self.files[n_0:n_f]
def get_file_at_index(self, index):
files_at_page = self.get_files_at_page()
return files_at_page[index]
def onChange_items_per_page(self, items_per_page):
self.items_per_page = items_per_page
def filter_error_message(self, msg):
md = MessageDialog(self)
md.set_info_message(msg)
def set_pagination_files(self, files_path):
self.files = files_path
self.total_items = len(self.files)
self.pagination.set_total_items(self.total_items)
def get_files(self, dir_path):
files_path = MseedUtil.get_tree_hd5_files(self, dir_path, robust=False)
self.set_pagination_files(files_path)
# print(files_path)
pyc.QMetaObject.invokeMethod(self.progressbar, 'accept',
qt.AutoConnection)
return files_path
def get_now_files(self):
md = MessageDialog(self)
md.hide()
try:
self.progressbar.reset()
self.progressbar.setLabelText(" Reading Files ")
self.progressbar.setRange(0, 0)
with ThreadPoolExecutor(1) as executor:
f = executor.submit(
lambda: self.get_files(self.root_path_bind2.value))
self.progressbar.exec()
self.files_path = f.result()
f.cancel()
# self.files_path = self.get_files(self.root_path_bind.value)
md.set_info_message("Readed data files Successfully")
except:
md.set_error_message(
"Something went wrong. Please check your data files are correct mseed files"
)
md.show()
def plot_egfs(self):
if self.st:
del self.st
self.canvas.clear()
##
self.nums_clicks = 0
all_traces = []
if self.sortCB.isChecked():
if self.comboBox_sort.currentText() == "Distance":
self.files_path.sort(key=self.sort_by_distance_advance)
elif self.comboBox_sort.currentText() == "Back Azimuth":
self.files_path.sort(key=self.sort_by_baz_advance)
self.set_pagination_files(self.files_path)
files_at_page = self.get_files_at_page()
##
if len(self.canvas.axes) != len(files_at_page):
self.canvas.set_new_subplot(nrows=len(files_at_page), ncols=1)
last_index = 0
min_starttime = []
max_endtime = []
parameters = self.parameters.getParameters()
for index, file_path in enumerate(files_at_page):
if os.path.basename(file_path) != ".DS_Store":
sd = SeismogramDataAdvanced(file_path)
tr = sd.get_waveform_advanced(
parameters,
self.inventory,
filter_error_callback=self.filter_error_message,
trace_number=index)
print(tr.data)
if len(tr) > 0:
t = tr.times("matplotlib")
s = tr.data
self.canvas.plot_date(t,
s,
index,
color="black",
fmt='-',
linewidth=0.5)
if self.pagination.items_per_page >= 16:
ax = self.canvas.get_axe(index)
ax.spines["top"].set_visible(False)
ax.spines["bottom"].set_visible(False)
ax.tick_params(top=False)
ax.tick_params(labeltop=False)
if index != (self.pagination.items_per_page - 1):
ax.tick_params(bottom=False)
last_index = index
st_stats = ObspyUtil.get_stats(file_path)
if st_stats and self.sortCB.isChecked() == False:
info = "{}.{}.{}".format(st_stats.Network,
st_stats.Station,
st_stats.Channel)
self.canvas.set_plot_label(index, info)
elif st_stats and self.sortCB.isChecked(
) and self.comboBox_sort.currentText() == "Distance":
dist = self.sort_by_distance_advance(file_path)
dist = "{:.1f}".format(dist / 1000.0)
info = "{}.{}.{} Distance {} km".format(
st_stats.Network, st_stats.Station,
st_stats.Channel, str(dist))
self.canvas.set_plot_label(index, info)
elif st_stats and self.sortCB.isChecked(
) and self.comboBox_sort.currentText() == "Back Azimuth":
back = self.sort_by_baz_advance(file_path)
back = "{:.1f}".format(back)
info = "{}.{}.{} Back Azimuth {}".format(
st_stats.Network, st_stats.Station,
st_stats.Channel, str(back))
self.canvas.set_plot_label(index, info)
try:
min_starttime.append(min(t))
max_endtime.append(max(t))
except:
print("Empty traces")
all_traces.append(tr)
self.st = Stream(traces=all_traces)
try:
if min_starttime and max_endtime is not None:
auto_start = min(min_starttime)
auto_end = max(max_endtime)
self.auto_start = auto_start
self.auto_end = auto_end
ax = self.canvas.get_axe(last_index)
ax.set_xlim(mdt.num2date(auto_start), mdt.num2date(auto_end))
formatter = mdt.DateFormatter('%y/%m/%d/%H:%M:%S.%f')
ax.xaxis.set_major_formatter(formatter)
self.canvas.set_xlabel(last_index, "Date")
except:
pass
def sort_by_distance_advance(self, file):
geodetic = MseedUtil.get_geodetic(file)
if geodetic[0] is not None:
return geodetic[0]
else:
return 0.
def sort_by_baz_advance(self, file):
geodetic = MseedUtil.get_geodetic(file)
if geodetic[1] is not None:
return geodetic[0]
else:
return 0.
def map(self):
try:
map_dict = {}
sd = []
for tr in self.st:
station = tr.stats.station.split("_")[0]
name = tr.stats.network + "." + station
sd.append(name)
map_dict[name] = [
tr.stats.mseed['coordinates'][0],
tr.stats.mseed['coordinates'][1]
]
self.map_stations = StationsMap(map_dict)
self.map_stations.plot_stations_map(latitude=0, longitude=0)
except:
md = MessageDialog(self)
md.set_error_message(
"couldn't plot stations map, please check your metadata and the trace headers"
)
class TimeFrequencyFrame(BaseFrame, UiTimeFrequencyFrame):
def __init__(self):
super(TimeFrequencyFrame, self).__init__()
self.setupUi(self)
self.__stations_dir = None
self.__metadata_manager = None
self.inventory = {}
self._stations_info = {}
self.tr1 = []
self.tr2 = []
self.canvas_plot1 = MatplotlibCanvas(self.widget_plot_up, nrows=2)
# self.canvas_plot1.set_xlabel(1, "Time (s)")
# self.canvas_plot1.set_ylabel(0, "Amplitude ")
# self.canvas_plot1.set_ylabel(1, "Frequency (Hz)")
self.canvas_plot2 = MatplotlibCanvas(self.widget_plot_down, nrows=2)
# self.canvas_plot2.set_xlabel(1, "Time (s)")
# self.canvas_plot2.set_ylabel(0, "Amplitude ")
# self.canvas_plot2.set_ylabel(1, "Frequency (Hz)")
# Binding
self.canvas_plot1.mpl_connect('key_press_event', self.key_pressed)
self.canvas_plot2.mpl_connect('key_press_event', self.key_pressed)
self.root_path_bind = BindPyqtObject(self.rootPathForm,
self.onChange_root_path)
self.dataless_path_bind = BindPyqtObject(self.datalessPathForm)
self.metadata_path_bind = BindPyqtObject(self.datalessPathForm,
self.onChange_metadata_path)
# Add file selector to the widget
self.file_selector = FilesView(
self.root_path_bind.value,
parent=self.fileSelectorWidget,
on_change_file_callback=lambda file_path: self.onChange_file(
file_path))
# Binds
self.selectDirBtn.clicked.connect(
lambda: self.on_click_select_directory(self.root_path_bind))
self.datalessBtn.clicked.connect(
lambda: self.on_click_select_file(self.dataless_path_bind))
# Action Buttons
self.actionSettings.triggered.connect(
lambda: self.open_parameters_settings())
self.actionOpen_Help.triggered.connect(lambda: self.open_help())
self.actionOpen_Spectral_Analysis.triggered.connect(
self.time_frequency_advance)
self.plotBtn.clicked.connect(self.plot_seismogram)
self.stationsBtn.clicked.connect(self.stations_info)
# help Documentation
self.help = HelpDoc()
# Parameters settings
self.parameters = ParametersSettings()
# Time Frequency Advance
#self.time_frequency_advance = TimeFrequencyAdvance()
def filter_error_message(self, msg):
md = MessageDialog(self)
md.set_info_message(msg)
def message_dataless_not_found(self):
if len(self.dataless_not_found) > 1:
md = MessageDialog(self)
md.set_info_message("Metadata not found.")
else:
for file in self.dataless_not_found:
md = MessageDialog(self)
md.set_info_message("Metadata for {} not found.".format(file))
self.dataless_not_found.clear()
def open_parameters_settings(self):
self.parameters.show()
def time_frequency_advance(self):
self._time_frequency_advance = TimeFrequencyAdvance(self.tr1, self.tr2)
self._time_frequency_advance.show()
def validate_file(self):
if not MseedUtil.is_valid_mseed(self.file_selector.file_path):
msg = "The file {} is not a valid mseed. Please, choose a valid format". \
format(self.file_selector.file_name)
raise InvalidFile(msg)
def onChange_root_path(self, value):
"""
Fired every time the root_path is changed
:param value: The path of the new directory.
:return:
"""
self.file_selector.set_new_rootPath(value)
def onChange_file(self, file_path):
# Called every time user select a different file
pass
def on_click_select_directory(self, bind: BindPyqtObject):
if "darwin" == platform:
dir_path = pw.QFileDialog.getExistingDirectory(
self, 'Select Directory', bind.value)
else:
dir_path = pw.QFileDialog.getExistingDirectory(
self, 'Select Directory', bind.value,
pw.QFileDialog.DontUseNativeDialog)
if dir_path:
bind.value = dir_path
def on_click_select_file(self, bind: BindPyqtObject):
selected = pw.QFileDialog.getOpenFileName(self, "Select metadata file")
if isinstance(selected[0], str) and os.path.isfile(selected[0]):
bind.value = selected[0]
def onChange_metadata_path(self, value):
md = MessageDialog(self)
try:
self.__metadata_manager = MetadataManager(value)
self.inventory = self.__metadata_manager.get_inventory()
md.set_info_message(
"Loaded Metadata, please check your terminal for further details"
)
except:
md.set_error_message(
"Something went wrong. Please check your metada file is a correct one"
)
@property
def trace(self):
return ObspyUtil.get_tracer_from_file(self.file_selector.file_path)
def get_data(self):
file = self.file_selector.file_path
starttime = convert_qdatetime_utcdatetime(self.starttime_date)
endtime = convert_qdatetime_utcdatetime(self.endtime_date)
diff = endtime - starttime
parameters = self.parameters.getParameters()
sd = SeismogramDataAdvanced(file)
if self.trimCB.isChecked() and diff >= 0:
tr = sd.get_waveform_advanced(
parameters,
self.inventory,
filter_error_callback=self.filter_error_message,
start_time=starttime,
end_time=endtime)
else:
tr = sd.get_waveform_advanced(
parameters,
self.inventory,
filter_error_callback=self.filter_error_message)
t = tr.times()
return tr, t
def get_time_window(self):
t1 = convert_qdatetime_utcdatetime(self.starttime_date)
t2 = convert_qdatetime_utcdatetime(self.endtime_date)
return t1, t2
def stations_info(self):
obsfiles = MseedUtil.get_mseed_files(self.root_path_bind.value)
obsfiles.sort()
sd = []
for file in obsfiles:
st = SeismogramDataAdvanced(file)
station = [
st.stats.Network, st.stats.Station, st.stats.Location,
st.stats.Channel, st.stats.StartTime, st.stats.EndTime,
st.stats.Sampling_rate, st.stats.Npts
]
sd.append(station)
self._stations_info = StationsInfo(sd, check=False)
self._stations_info.show()
def plot_seismogram(self):
selection = self.selectCB.currentText()
if selection == "Seismogram 1":
#self.validate_file()
[self.tr1, t] = self.get_data()
self.canvas_plot1.plot(t,
self.tr1.data,
0,
clear_plot=True,
color="black",
linewidth=0.5)
self.canvas_plot1.set_xlabel(1, "Time (s)")
self.canvas_plot1.set_ylabel(0, "Amplitude ")
self.canvas_plot1.set_ylabel(1, "Frequency (Hz)")
info = "{}.{}.{}".format(self.tr1.stats.network,
self.tr1.stats.station,
self.tr1.stats.channel)
self.canvas_plot1.set_plot_label(0, info)
if self.time_frequencyChB.isChecked():
self.time_frequency(self.tr1, selection)
if selection == "Seismogram 2":
#self.validate_file()
[self.tr2, t] = self.get_data()
self.canvas_plot2.plot(t,
self.tr2.data,
0,
clear_plot=True,
color="black",
linewidth=0.5)
self.canvas_plot2.set_xlabel(1, "Time (s)")
self.canvas_plot2.set_ylabel(0, "Amplitude ")
self.canvas_plot2.set_ylabel(1, "Frequency (Hz)")
info = "{}.{}.{}".format(self.tr2.stats.network,
self.tr2.stats.station,
self.tr2.stats.channel)
self.canvas_plot2.set_plot_label(0, info)
if self.time_frequencyChB.isChecked():
self.time_frequency(self.tr2, selection)
@AsycTime.run_async()
def time_frequency(self, tr, order):
selection = self.time_frequencyCB.currentText()
ts, te = self.get_time_window()
diff = te - ts
if selection == "Multitaper Spectrogram":
win = int(self.mt_window_lengthDB.value() * tr.stats.sampling_rate)
tbp = self.time_bandwidth_DB.value()
ntapers = self.number_tapers_mtSB.value()
f_min = self.freq_min_mtDB.value()
f_max = self.freq_max_mtDB.value()
mtspectrogram = MTspectrogram(self.file_selector.file_path, win,
tbp, ntapers, f_min, f_max)
if self.trimCB.isChecked() and diff >= 0:
x, y, log_spectrogram = mtspectrogram.compute_spectrogram(
tr, start_time=ts, end_time=te)
else:
x, y, log_spectrogram = mtspectrogram.compute_spectrogram(tr)
log_spectrogram = np.clip(log_spectrogram,
a_min=self.minlevelCB.value(),
a_max=0)
min_log_spectrogram = self.minlevelCB.value()
max_log_spectrogram = 0
if order == "Seismogram 1":
if self.typeCB.currentText() == 'contourf':
self.canvas_plot1.plot_contour(x,
y,
log_spectrogram,
axes_index=1,
clabel="Power [dB]",
cmap=plt.get_cmap("jet"),
vmin=min_log_spectrogram,
vmax=max_log_spectrogram)
elif self.typeCB.currentText() == 'pcolormesh':
print("plotting pcolormesh")
self.canvas_plot1.pcolormesh(x,
y,
log_spectrogram,
axes_index=1,
clabel="Power [dB]",
cmap=plt.get_cmap("jet"),
vmin=min_log_spectrogram,
vmax=max_log_spectrogram)
self.canvas_plot1.set_xlabel(1, "Time (s)")
self.canvas_plot1.set_ylabel(0, "Amplitude ")
self.canvas_plot1.set_ylabel(1, "Frequency (Hz)")
elif order == "Seismogram 2":
if self.typeCB.currentText() == 'contourf':
self.canvas_plot2.plot_contour(x,
y,
log_spectrogram,
axes_index=1,
clear_plot=True,
clabel="Power [dB]",
cmap=plt.get_cmap("jet"),
vmin=min_log_spectrogram,
vmax=max_log_spectrogram)
elif self.typeCB.currentText() == 'pcolormesh':
self.canvas_plot2.pcolormesh(x,
y,
log_spectrogram,
axes_index=1,
clear_plot=True,
clabel="Power [dB]",
cmap=plt.get_cmap("jet"),
vmin=min_log_spectrogram,
vmax=max_log_spectrogram)
self.canvas_plot2.set_xlabel(1, "Time (s)")
self.canvas_plot2.set_ylabel(0, "Amplitude ")
self.canvas_plot2.set_ylabel(1, "Frequency (Hz)")
elif selection == "Wigner Spectrogram":
win = int(self.mt_window_lengthDB.value() * tr.stats.sampling_rate)
tbp = self.time_bandwidth_DB.value()
ntapers = self.number_tapers_mtSB.value()
f_min = self.freq_min_mtDB.value()
f_max = self.freq_max_mtDB.value()
wignerspec = WignerVille(self.file_selector.file_path, win, tbp,
ntapers, f_min, f_max)
if self.trimCB.isChecked() and diff >= 0:
x, y, log_spectrogram = wignerspec.compute_wigner_spectrogram(
tr, start_time=ts, end_time=te)
else:
x, y, log_spectrogram = wignerspec.compute_wigner_spectrogram(
tr)
if order == "Seismogram 1":
if self.typeCB.currentText() == 'contourf':
self.canvas_plot1.plot_contour(x,
y,
log_spectrogram,
axes_index=1,
clear_plot=True,
clabel="Rel Power ",
cmap=plt.get_cmap("jet"))
elif self.typeCB.currentText() == 'pcolormesh':
self.canvas_plot1.pcolormesh(x,
y,
log_spectrogram,
axes_index=1,
clear_plot=True,
clabel="Rel Power ",
cmap=plt.get_cmap("jet"))
self.canvas_plot1.set_xlabel(1, "Time (s)")
self.canvas_plot1.set_ylabel(0, "Amplitude ")
self.canvas_plot1.set_ylabel(1, "Frequency (Hz)")
elif order == "Seismogram 2":
if self.typeCB.currentText() == 'contourf':
self.canvas_plot2.plot_contour(x,
y,
log_spectrogram,
axes_index=1,
clear_plot=True,
clabel="Power [dB]",
cmap=plt.get_cmap("jet"))
elif self.typeCB.currentText() == 'pcolormesh':
self.canvas_plot2.pcolormesh(x,
y,
log_spectrogram,
axes_index=1,
clear_plot=True,
clabel="Power [dB]",
cmap=plt.get_cmap("jet"))
self.canvas_plot2.set_xlabel(1, "Time (s)")
self.canvas_plot2.set_ylabel(0, "Amplitude ")
self.canvas_plot2.set_ylabel(1, "Frequency (Hz)")
elif selection == "Continuous Wavelet Transform":
fs = tr.stats.sampling_rate
nf = self.atomsSB.value()
f_min = self.freq_min_cwtDB.value()
f_max = self.freq_max_cwtDB.value()
wmin = self.wminSB.value()
wmax = self.wminSB.value()
#tt = int( self.wavelet_lenghtDB.value()*fs)
npts = len(tr.data)
t = np.linspace(0, tr.stats.delta * npts, npts)
#cw = ConvolveWaveletScipy(self.file_selector.file_path)
cw = ConvolveWaveletScipy(tr)
wavelet = self.wavelet_typeCB.currentText()
m = self.wavelets_param.value()
if self.trimCB.isChecked() and diff >= 0:
cw.setup_wavelet(ts,
te,
wmin=wmin,
wmax=wmax,
tt=int(fs / f_min),
fmin=f_min,
fmax=f_max,
nf=nf,
use_wavelet=wavelet,
m=m,
decimate=False)
else:
cw.setup_wavelet(wmin=wmin,
wmax=wmax,
tt=int(fs / f_min),
fmin=f_min,
fmax=f_max,
nf=nf,
use_wavelet=wavelet,
m=m,
decimate=False)
scalogram2 = cw.scalogram_in_dbs()
scalogram2 = np.clip(scalogram2,
a_min=self.minlevelCB.value(),
a_max=0)
cf = cw.cf_lowpass()
freq = np.logspace(np.log10(f_min), np.log10(f_max))
k = wmin / (2 * np.pi * freq)
delay = int(fs * np.mean(k))
x, y = np.meshgrid(
t,
np.logspace(np.log10(f_min), np.log10(f_max),
scalogram2.shape[0]))
c_f = wmin / 2 * math.pi
f = np.linspace((f_min), (f_max), scalogram2.shape[0])
pred = (math.sqrt(2) * c_f / f) - (math.sqrt(2) * c_f / f_max)
pred_comp = t[len(t) - 1] - pred
min_cwt = self.minlevelCB.value()
max_cwt = 0
norm = Normalize(vmin=min_cwt, vmax=max_cwt)
tf = t[delay:len(t)]
cf = cf[0:len(tf)]
if order == "Seismogram 1":
#self.canvas_plot1.plot(tf, cf, 0, clear_plot=True, is_twinx=True, color="red",
# linewidth=0.5)
if self.typeCB.currentText() == 'pcolormesh':
self.canvas_plot1.pcolormesh(x,
y,
scalogram2,
axes_index=1,
clear_plot=True,
clabel="Power [dB]",
cmap=plt.get_cmap("jet"),
vmin=min_cwt,
vmax=max_cwt)
elif self.typeCB.currentText() == 'contourf':
self.canvas_plot1.plot_contour(x,
y,
scalogram2,
axes_index=1,
clear_plot=True,
clabel="Power [dB]",
cmap=plt.get_cmap("jet"),
vmin=min_cwt,
vmax=max_cwt)
ax_cone = self.canvas_plot1.get_axe(1)
ax_cone.fill_between(pred,
f,
0,
color="black",
edgecolor="red",
alpha=0.3)
ax_cone.fill_between(pred_comp,
f,
0,
color="black",
edgecolor="red",
alpha=0.3)
self.canvas_plot1.set_xlabel(1, "Time (s)")
self.canvas_plot1.set_ylabel(0, "Amplitude ")
self.canvas_plot1.set_ylabel(1, "Frequency (Hz)")
if order == "Seismogram 2":
#self.canvas_plot2.plot(tf, cf, 0, clear_plot=True, is_twinx=True, color="red",
# linewidth=0.5)
if self.typeCB.currentText() == 'pcolormesh':
self.canvas_plot2.pcolormesh(x,
y,
scalogram2,
axes_index=1,
clear_plot=True,
clabel="Power [dB]",
cmap=plt.get_cmap("jet"),
vmin=min_cwt,
vmax=max_cwt)
elif self.typeCB.currentText() == 'contourf':
self.canvas_plot2.plot_contour(x,
y,
scalogram2,
axes_index=1,
clear_plot=True,
clabel="Power [dB]",
cmap=plt.get_cmap("jet"),
vmin=min_cwt,
vmax=max_cwt)
ax_cone2 = self.canvas_plot2.get_axe(1)
ax_cone2.fill_between(pred,
f,
0,
color="black",
edgecolor="red",
alpha=0.3)
ax_cone2.fill_between(pred_comp,
f,
0,
color="black",
edgecolor="red",
alpha=0.3)
self.canvas_plot2.set_xlabel(1, "Time (s)")
self.canvas_plot2.set_ylabel(0, "Amplitude ")
self.canvas_plot2.set_ylabel(1, "Frequency (Hz)")
else:
pass
def key_pressed(self, event):
selection = self.selectCB.currentText()
if event.key == 'w':
self.plot_seismogram()
if event.key == 'q':
if selection == "Seismogram 1":
[tr, t] = self.get_data()
x1, y1 = event.xdata, event.ydata
tt = tr.stats.starttime + x1
set_qdatetime(tt, self.starttime_date)
self.canvas_plot1.draw_arrow(x1,
0,
arrow_label="st",
color="purple",
linestyles='--',
picker=False)
elif selection == "Seismogram 2":
[tr, t] = self.get_data()
x1, y1 = event.xdata, event.ydata
tt = tr.stats.starttime + x1
set_qdatetime(tt, self.starttime_date)
self.canvas_plot2.draw_arrow(x1,
0,
arrow_label="st",
color="purple",
linestyles='--',
picker=False)
if event.key == 'e':
if selection == "Seismogram 1":
[tr, t] = self.get_data()
x1, y1 = event.xdata, event.ydata
tt = tr.stats.starttime + x1
set_qdatetime(tt, self.endtime_date)
self.canvas_plot1.draw_arrow(x1,
0,
arrow_label="et",
color="purple",
linestyles='--',
picker=False)
elif selection == "Seismogram 2":
[tr, t] = self.get_data()
x1, y1 = event.xdata, event.ydata
tt = tr.stats.starttime + x1
set_qdatetime(tt, self.endtime_date)
self.canvas_plot2.draw_arrow(x1,
0,
arrow_label="et",
color="purple",
linestyles='--',
picker=False)
def open_help(self):
self.help.show()
class TimeFrequencyAdvance(pw.QFrame, UiTimeFrequencyWidget):
def __init__(self, tr1, tr2):
super(TimeFrequencyAdvance, self).__init__()
self.setupUi(self)
self.spectrum_Widget_Canvas = MatplotlibCanvas(self.spectrumWidget, nrows=2, ncols=2,
sharex=False, constrained_layout=True)
self.spectrum_Widget_Canvas2 = MatplotlibCanvas(self.spectrumWidget2, nrows=1, ncols=1,
sharex=False, constrained_layout=True)
self.coherence_Widget_Canvas = MatplotlibCanvas(self.coherenceWidget, nrows=2, ncols=1, sharex=False,
constrained_layout=True)
self.cross_correlation_Widget_Canvas = MatplotlibCanvas(self.cross_correlationWidget, nrows = 3, ncols = 1)
self.cross_spectrumWidget_Widget_Canvas = MatplotlibCanvas(self.cross_spectrumWidget,nrows = 2, ncols = 1,
sharex=True, constrained_layout=True)
self.plot_spectrumBtn.clicked.connect(self.plot_spectrum)
self.coherenceBtn.clicked.connect(self.coherence)
self.cross_correlationsBtn.clicked.connect(self.plot_correlation)
#self.Cross_spectrumBtn.clicked.connect(self.plot_cross_spectrogram)
self.Cross_scalogramBtn.clicked.connect(self.plot_cross_scalogram)
self.tr1 = tr1
self.tr2 = tr2
def plot_spectrum(self):
if len(self.tr1) >0:
[spec1, freq1, jackknife_errors] = spectrumelement(self.tr1.data, self.tr1.stats.delta, self.tr1.id)
self.spectrum_Widget_Canvas.plot(freq1, spec1, 0)
ax1 = self.spectrum_Widget_Canvas.get_axe(0)
ax1.cla()
ax1.loglog(freq1, spec1, '0.1', linewidth=0.5, color='steelblue', label=self.tr1.id)
ax1.fill_between(freq1, jackknife_errors[:, 0], jackknife_errors[:, 1], facecolor="0.75",
alpha=0.5, edgecolor="0.5")
ax1.set_ylim(spec1.min() / 10.0, spec1.max() * 100.0)
ax1.set_xlim(freq1[1], freq1[len(freq1)-1])
ax1.set_ylabel('Amplitude')
ax1.set_xlabel('Frequency [Hz]')
ax1.grid(True, which="both", ls="-", color='grey')
ax1.legend()
#plot the phase
N = len(self.tr1.data)
D = 2 ** math.ceil(math.log2(N))
z = np.zeros(D - N)
data = np.concatenate((self.tr1.data, z), axis=0)
spectrum = np.fft.rfft(data, D)
phase = np.angle(spectrum)
ax3 = self.spectrum_Widget_Canvas.get_axe(2)
ax3.semilogx(freq1, phase*180/math.pi, color = 'orangered', linewidth=0.5)
ax3.set_xlim(freq1[1], freq1[len(freq1) - 1])
ax3.grid(True, which="both", ls="-", color='grey')
ax3.set_ylabel('Phase')
ax3.set_xlabel('Frequency [Hz]')
else:
pass
if len(self.tr2) > 0:
[spec2, freq2, jackknife_errors] = spectrumelement(self.tr2.data, self.tr2.stats.delta, self.tr2.id)
self.spectrum_Widget_Canvas.plot(freq2, spec2, 1)
ax2 = self.spectrum_Widget_Canvas.get_axe(1)
ax2.cla()
ax2.loglog(freq2, spec2, '0.1', linewidth=0.5, color='steelblue', label=self.tr2.id)
ax2.fill_between(freq2, jackknife_errors[:, 0], jackknife_errors[:, 1], facecolor="0.75",
alpha=0.5, edgecolor="0.5")
ax2.set_ylim(spec2.min() / 10.0, spec2.max() * 100.0)
ax2.set_xlim(freq2[1], freq2[len(freq2) - 1])
ax2.set_ylabel('Amplitude')
ax2.set_xlabel('Frequency [Hz]')
ax2.grid(True, which="both", ls="-", color='grey')
ax2.legend()
# plot the phase
N = len(self.tr2.data)
D = 2 ** math.ceil(math.log2(N))
z = np.zeros(D - N)
data = np.concatenate((self.tr2.data, z), axis=0)
spectrum = np.fft.rfft(data, D)
phase = np.angle(spectrum)
ax4 = self.spectrum_Widget_Canvas.get_axe(3)
ax4.semilogx(freq2, phase * 180 / math.pi, color = 'orangered', linewidth=0.5)
ax4.set_xlim(freq2[1], freq2[len(freq2) - 1])
ax4.grid(True, which="both", ls="-", color='grey')
ax4.set_ylabel('Phase')
ax4.set_xlabel('Frequency [Hz]')
else:
pass
# Power
try:
self.spectrum_Widget_Canvas2.plot(freq1, spec1, 0)
ax5 = self.spectrum_Widget_Canvas2.get_axe(0)
ax5.cla()
spec1=spec1**2
spec2=spec2**2
ax5.loglog(freq1, spec1, '0.1', linewidth=0.5, color='steelblue', label=self.tr1.id)
ax5.loglog(freq2, spec2, '0.1', linewidth=0.5, color='orangered', label=self.tr2.id)
ax5.set_ylabel('Amplitude')
ax5.set_xlabel('Frequency [Hz]')
ax5.grid(True, which="both", ls="-", color='grey')
ax5.legend()
except:
raise("Some data is missing")
def coherence(self):
if len(self.tr1) > 0 and len(self.tr2) > 0:
sampling_rates = []
fs1=self.tr1.stats.sampling_rate
fs2=self.tr2.stats.sampling_rate
sampling_rates.append(fs1)
sampling_rates.append(fs2)
max_sampling_rates = np.max(sampling_rates)
overlap = self.cohe_overlapSB.value()
time_window = self.time_window_coheSB.value()
nfft = time_window*max_sampling_rates
if fs1 != fs2:
self.tr1.resample(max_sampling_rates)
self.tr1.resample(max_sampling_rates)
# Plot Amplitude
[A,f, phase] = cohe(self.tr1.data, self.tr2.data, max_sampling_rates, nfft, overlap)
self.coherence_Widget_Canvas.plot(f, A, 0)
ax1 = self.coherence_Widget_Canvas.get_axe(0)
ax1.cla()
ax1.loglog(f, A, '0.1', linewidth=0.5, color='steelblue', label="Amplitude Coherence "+
self.tr1.id+" "+ self.tr2.id)
ax1.set_ylim(A.min() / 10.0, A.max() * 100.0)
ax1.set_xlim(f[1], f[len(f) - 1])
ax1.set_ylabel('Magnitude Coherence')
ax1.set_xlabel('Frequency [Hz]')
ax1.grid(True, which="both", ls="-", color='grey')
ax1.legend()
# Plot Phase
ax2 = self.coherence_Widget_Canvas.get_axe(1)
ax2.cla()
ax2.semilogx(f, phase * 180 / math.pi, color='orangered', linewidth=0.5, label="Phase Coherence "+
self.tr1.id+" "+ self.tr2.id)
ax2.set_xlim(f[1], f[len(f) - 1])
ax2.set_ylabel('Phase')
ax2.set_xlabel('Frequency [Hz]')
ax2.grid(True, which="both", ls="-", color='grey')
ax2.legend()
def plot_correlation(self):
if len(self.tr1) > 0 and len(self.tr2) > 0:
sampling_rates = []
fs1=self.tr1.stats.sampling_rate
fs2=self.tr2.stats.sampling_rate
sampling_rates.append(fs1)
sampling_rates.append(fs2)
max_sampling_rates = np.max(sampling_rates)
if fs1 != fs2:
self.tr1.resample(max_sampling_rates)
self.tr2.resample(max_sampling_rates)
cc1 = correlate_maxlag(self.tr1.data, self.tr1.data, maxlag = max([len(self.tr1.data),len(self.tr2.data)]))
cc2 = correlate_maxlag(self.tr2.data, self.tr2.data, maxlag = max([len(self.tr1.data),len(self.tr2.data)]))
cc3 = correlate_maxlag(self.tr1.data, self.tr2.data, maxlag = max([len(self.tr1.data),len(self.tr2.data)]))
N1 = len(cc1)
N2 = len(cc2)
N3 = len(cc3)
self.cross_correlation_Widget_Canvas.plot(get_lags(cc1)/max_sampling_rates, cc1, 0,
clear_plot=True, linewidth=0.5,color='black')
self.cross_correlation_Widget_Canvas.plot(get_lags(cc2)/max_sampling_rates, cc2, 1,
clear_plot=True, linewidth=0.5, color = 'black')
self.cross_correlation_Widget_Canvas.plot(get_lags(cc3)/max_sampling_rates, cc3, 2,
clear_plot=True, linewidth=0.5, color = 'red')
def plot_cross_spectrogram(self):
if len(self.tr1) > 0 and len(self.tr2) > 0:
csp = cross_spectrogram(self.tr1, self.tr2, win=self.time_windowSB.value(),
tbp=self.time_bandwidthSB.value(), ntapers = self.num_tapersSB.value())
[coherence_cross, freq, t] = csp.compute_coherence_crosspectrogram()
f_min = 0
f_max = 0.5*(1/max(freq))
f_max=50
x, y = np.meshgrid(t, np.linspace(f_min, f_max, coherence_cross.shape[0]))
self.cross_spectrumWidget_Widget_Canvas.plot_contour(x, y, coherence_cross, axes_index=0,
clabel="Coherence", cmap=plt.get_cmap("jet"), vmin=0,vmax=1)
self.cross_spectrumWidget_Widget_Canvas.set_xlabel(0, "Time (s)")
self.cross_spectrumWidget_Widget_Canvas.set_ylabel(0, "Frequency (Hz)")
def plot_cross_scalogram(self):
base_line = self.base_lineDB.value()
colour = self.colourCB.currentText()
if len(self.tr1) > 0 and len(self.tr2) > 0:
#
fs1 = self.tr1.stats.sampling_rate
fs2 = self.tr2.stats.sampling_rate
fs = max(fs1, fs2)
if fs1 < fs:
self.tr1.resample(fs)
elif fs2 < fs:
self.tr2.resample(fs)
all_traces = [self.tr1, self.tr2]
st = Stream(traces=all_traces)
maxstart = np.max([tr.stats.starttime for tr in st])
minend = np.min([tr.stats.endtime for tr in st])
st.trim(maxstart, minend)
tr1 = st[0]
tr2 = st[1]
tr1.detrend(type='demean')
tr1.taper(max_percentage=0.05)
tr2.detrend(type='demean')
tr2.taper(max_percentage=0.05)
npts =len(tr1.data)
t = np.linspace(0, npts/fs, npts)
f_max = fs/2
nf = 40
wmin=wmax=self.num_cyclesSB.value()
f_min = self.freq_min_waveletSB.value()
tt = int(fs / f_min)
[ba, nConv, frex, half_wave] = ccwt_ba_fast(npts, fs, f_min, f_max, wmin, wmax, tt, nf)
cf, sc, scalogram1 = cwt_fast(tr1.data, ba, nConv, frex, half_wave, fs)
cf, sc, scalogram2 = cwt_fast(tr2.data, ba, nConv, frex, half_wave, fs)
crossCFS = scalogram1 * np.conj(scalogram2)
cross_scalogram = np.abs(crossCFS)**2
cross_scalogram = 10*np.log(cross_scalogram/np.max(cross_scalogram))
cross_scalogram = np.clip(cross_scalogram, a_min=base_line, a_max=0)
min_cwt = base_line
max_cwt = 0
x, y = np.meshgrid(t, np.logspace(np.log10(f_min), np.log10(f_max), cross_scalogram.shape[0]))
c_f = wmin / 2 * math.pi
f = np.linspace((f_min), (f_max), cross_scalogram.shape[0])
pred = (math.sqrt(2) * c_f / f) - (math.sqrt(2) * c_f / f_max)
pred_comp = t[len(t) - 1] - pred
#Plot Seismograms
self.cross_spectrumWidget_Widget_Canvas.plot(tr1.times(), self.tr1.data, 0, color="black",
linewidth=0.5,alpha = 0.75)
self.cross_spectrumWidget_Widget_Canvas.plot(tr2.times(), tr2.data, 0, clear_plot=False, is_twinx=True,
color="orangered", linewidth=0.5, alpha=0.75)
info = tr1.id + " " + tr2.id
self.cross_spectrumWidget_Widget_Canvas.set_plot_label(0, info)
self.cross_spectrumWidget_Widget_Canvas.set_ylabel(0, "Amplitude")
#info = "{}.{}.{}".format(tr1.stats.network, tr1.stats.station, tr1.stats.channel)
#self.cross_spectrumWidget_Widget_Canvas.set_plot_label(0, info)
#info = "{}.{}.{}".format(tr2.stats.network, tr2.stats.station, tr1.stats.channel)
#self.cross_spectrumWidget_Widget_Canvas.set_plot_label(0, info)
# Plot Cross Scalogram
self.cross_spectrumWidget_Widget_Canvas.plot_contour(x, y, cross_scalogram, axes_index=1, clabel="Cross Power [dB]",
cmap=plt.get_cmap(colour))
# Plot Cone
ax_cone = self.cross_spectrumWidget_Widget_Canvas.get_axe(1)
ax_cone.fill_between(pred, f, 0, color="black", edgecolor="red", alpha=0.3)
ax_cone.fill_between(pred_comp, f, 0, color="black", edgecolor="red", alpha=0.3)
self.cross_spectrumWidget_Widget_Canvas.set_xlabel(1, "Time (s)")
self.cross_spectrumWidget_Widget_Canvas.set_ylabel(1, "Frequency (Hz)")
class PlotPolarization(pw.QFrame, UiPlotPolarization ):
def __init__(self, z, r, t):
super(PlotPolarization, self).__init__()
self.setupUi(self)
self._z = z-np.mean(z)
self._r = r-np.mean(r)
self._t = t-np.mean(t)
all_traces = [self._z, self._r, self._t]
self.st = Stream(traces=all_traces)
self._r_max = max(r)
self._t_max = max(t)
self._z_max=max(z)
self.max_value=max([max(abs(z)), max(abs(t)), max(abs(r))])
self.canvas = MatplotlibCanvas(self.plotMatWidget_polarization)
self.canvas2D = MatplotlibCanvas(self.plotMatWidget_polarization2, nrows=2, ncols=2, constrained_layout=True)
self.canvas.figure.gca(projection='3d')
self.plotBtn.clicked.connect(lambda: self.plot_particle())
def plot_particle(self):
azimuth, incidence, rect, plan = flinn(self.st)
self.canvas.plot_projection(self._r,self._t,self._z, axes_index=0)
self.canvas.set_xlabel(0, "Radial")
self.canvas.set_ylabel(0, "Transversal")
#self.canvas.set_zlabel(0, "Vertical")
self.canvas2D.plot(self._r, self._z, 0, clear_plot=True, linewidth=0.5)
self.canvas2D.set_xlabel(0, "Radial")
self.canvas2D.set_ylabel(0, "Vertical")
ax1 = self.canvas2D.get_axe(0)
ax1.set_xlim([-self.max_value,self.max_value])
ax1.set_ylim([-self.max_value, self.max_value])
self.canvas2D.plot(self._t, self._z, 1, clear_plot=True, linewidth=0.5)
self.canvas2D.set_xlabel(1, "Transversal")
self.canvas2D.set_ylabel(1, "Vertical")
ax2 = self.canvas2D.get_axe(1)
ax2.set_xlim([-self.max_value, self.max_value])
ax2.set_ylim([-self.max_value, self.max_value])
self.canvas2D.plot(self._r, self._t, 2, clear_plot=True, linewidth=0.5)
self.canvas2D.set_xlabel(2, "Radial")
self.canvas2D.set_ylabel(2, "Transversal")
ax3 = self.canvas2D.get_axe(2)
ax3.set_xlim([-self.max_value, self.max_value])
ax3.set_ylim([-self.max_value, self.max_value])
self.polarizationText.setPlainText(" Azimuth: {azimuth:.3f} ".format(azimuth=azimuth))
self.polarizationText.appendPlainText(" Incidence Angle: {incidence:.3f} ".format(incidence=incidence))
self.polarizationText.appendPlainText(" Rectilinearity: {rect:.3f} ".format(rect=rect))
self.polarizationText.appendPlainText(" Planarity: {plan:.3f} ".format(plan=plan))
class ArrayAnalysisFrame(BaseFrame, UiArrayAnalysisFrame):
def __init__(self):
super(ArrayAnalysisFrame, self).__init__()
self.setupUi(self)
self.__stations_dir = None
self.stream_frame = None
self.__metadata_manager = None
self.inventory = {}
self._stations_info = {}
self._stations_coords = {}
self.stack = None
self.canvas = MatplotlibCanvas(self.responseMatWidget)
self.canvas_fk = MatplotlibCanvas(self.widget_fk, nrows=4)
self.canvas_slow_map = MatplotlibCanvas(self.widget_slow_map)
self.canvas_fk.on_double_click(self.on_click_matplotlib)
self.canvas_stack = MatplotlibCanvas(self.widget_stack)
self.cartopy_canvas = CartopyCanvas(self.widget_map)
self.canvas.set_new_subplot(1, ncols=1)
#Binding
self.root_pathFK_bind = BindPyqtObject(self.rootPathFormFK)
self.root_pathBP_bind = BindPyqtObject(self.rootPathFormBP)
self.metadata_path_bind = BindPyqtObject(self.datalessPathForm,
self.onChange_metadata_path)
self.metadata_path_bindBP = BindPyqtObject(self.datalessPathFormBP,
self.onChange_metadata_path)
self.output_path_bindBP = BindPyqtObject(self.outputPathFormBP,
self.onChange_metadata_path)
self.fmin_bind = BindPyqtObject(self.fminSB)
self.fmax_bind = BindPyqtObject(self.fmaxSB)
self.grid_bind = BindPyqtObject(self.gridSB)
self.smax_bind = BindPyqtObject(self.smaxSB)
# On select
self.canvas_fk.register_on_select(self.on_select,
rectprops=dict(alpha=0.2,
facecolor='red'))
self.fminFK_bind = BindPyqtObject(self.fminFKSB)
self.fmaxFK_bind = BindPyqtObject(self.fmaxFKSB)
self.overlap_bind = BindPyqtObject(self.overlapSB)
self.timewindow_bind = BindPyqtObject(self.timewindowSB)
self.smaxFK_bind = BindPyqtObject(self.slowFKSB)
self.slow_grid_bind = BindPyqtObject(self.gridFKSB)
# Bind buttons
self.selectDirBtnFK.clicked.connect(
lambda: self.on_click_select_directory(self.root_pathFK_bind))
self.datalessBtn.clicked.connect(
lambda: self.on_click_select_metadata_file(self.metadata_path_bind
))
# Bind buttons BackProjection
self.selectDirBtnBP.clicked.connect(
lambda: self.on_click_select_directory(self.root_pathBP_bind))
self.datalessBtnBP.clicked.connect(
lambda: self.on_click_select_metadata_file(self.
metadata_path_bindBP))
self.outputBtn.clicked.connect(
lambda: self.on_click_select_directory(self.output_path_bindBP))
#Action Buttons
self.arfBtn.clicked.connect(lambda: self.arf())
self.runFKBtn.clicked.connect(lambda: self.FK_plot())
self.plotBtn.clicked.connect(lambda: self.plot_seismograms())
self.plotBtnBP.clicked.connect(lambda: self.plot_seismograms(FK=False))
self.actionSettings.triggered.connect(
lambda: self.open_parameters_settings())
self.actionProcessed_Seimograms.triggered.connect(self.write)
self.actionStacked_Seismograms.triggered.connect(self.write_stack)
self.stationsBtn.clicked.connect(lambda: self.stationsInfo())
self.stationsBtnBP.clicked.connect(lambda: self.stationsInfo(FK=False))
self.mapBtn.clicked.connect(self.stations_map)
self.actionCreate_Stations_File.triggered.connect(
self.stations_coordinates)
self.actionLoad_Stations_File.triggered.connect(self.load_path)
self.actionRunVespagram.triggered.connect(self.open_vespagram)
self.shortcut_open = pw.QShortcut(pqg.QKeySequence('Ctrl+O'), self)
self.shortcut_open.activated.connect(self.open_solutions)
self.create_gridBtn.clicked.connect(self.create_grid)
self.actionOpen_Help.triggered.connect(lambda: self.open_help())
self.load_videoBtn.clicked.connect(self.loadvideoBP)
# help Documentation
self.help = HelpDoc()
# Parameters settings
self.__parameters = ParametersSettings()
# Stations Coordinates
self.__stations_coords = StationsCoords()
# picks
self.picks = {
'Time': [],
'Phase': [],
'BackAzimuth': [],
'Slowness': [],
'Power': []
}
# video
self.player = QMediaPlayer(None, QMediaPlayer.VideoSurface)
self.player.setVideoOutput(self.backprojection_widget)
self.player.stateChanged.connect(self.mediaStateChanged)
self.player.positionChanged.connect(self.positionChanged)
self.player.durationChanged.connect(self.durationChanged)
self.playButton.setIcon(self.style().standardIcon(QStyle.SP_MediaPlay))
self.playButton.clicked.connect(self.play_bp)
self.positionSlider.sliderMoved.connect(self.setPosition)
def mediaStateChanged(self):
if self.player.state() == QMediaPlayer.PlayingState:
self.playButton.setIcon(self.style().standardIcon(
QStyle.SP_MediaPause))
else:
self.playButton.setIcon(self.style().standardIcon(
QStyle.SP_MediaPlay))
def positionChanged(self, position):
self.positionSlider.setValue(position)
def durationChanged(self, duration):
self.positionSlider.setRange(0, duration)
def setPosition(self, position):
self.player.setPosition(position)
def open_parameters_settings(self):
self.__parameters.show()
def stations_coordinates(self):
self.__stations_coords.show()
def open_vespagram(self):
if self.st and self.inventory and self.t1 and self.t2:
self.__vespagram = Vespagram(self.st, self.inventory, self.t1,
self.t2)
self.__vespagram.show()
def on_click_select_directory(self, bind: BindPyqtObject):
if "darwin" == platform:
dir_path = pw.QFileDialog.getExistingDirectory(
self, 'Select Directory', bind.value)
else:
dir_path = pw.QFileDialog.getExistingDirectory(
self, 'Select Directory', bind.value,
pw.QFileDialog.DontUseNativeDialog)
if dir_path:
bind.value = dir_path
def onChange_metadata_path(self, value):
md = MessageDialog(self)
try:
self.__metadata_manager = MetadataManager(value)
self.inventory = self.__metadata_manager.get_inventory()
print(self.inventory)
md.set_info_message(
"Loaded Metadata, please check your terminal for further details"
)
except:
md.set_error_message(
"Something went wrong. Please check your metada file is a correct one"
)
def on_click_select_metadata_file(self, bind: BindPyqtObject):
selected = pw.QFileDialog.getOpenFileName(self, "Select metadata file")
if isinstance(selected[0], str) and os.path.isfile(selected[0]):
bind.value = selected[0]
def load_path(self):
selected_file = pw.QFileDialog.getOpenFileName(
self, "Select Stations Coordinates file")
self.path_file = selected_file[0]
df = pd.read_csv(self.path_file, delim_whitespace=True)
n = len(df)
self.coords = np.zeros([n, 3])
for i in range(n):
#coords[i]=data[i]
self.coords[i] = np.array(
[df['Lon'][i], df['Lat'][i], df['Depth'][i]])
def arf(self):
try:
if self.coords.all():
wavenumber = array_analysis.array()
arf = wavenumber.arf(self.coords, self.fmin_bind.value,
self.fmax_bind.value,
self.smax_bind.value,
self.grid_bind.value)
slim = self.smax_bind.value
x = y = np.linspace(-1 * slim, slim, len(arf))
self.canvas.plot_contour(x,
y,
arf,
axes_index=0,
clabel="Power [dB]",
cmap=plt.get_cmap("jet"))
self.canvas.set_xlabel(0, "Sx (s/km)")
self.canvas.set_ylabel(0, "Sy (s/km)")
except:
md = MessageDialog(self)
md.set_error_message(
"Couldn't compute ARF, please check if you have loaded stations coords"
)
def stations_map(self):
coords = {}
if self.path_file:
df = pd.read_csv(self.path_file, delim_whitespace=True)
n = len(df)
self.coords = np.zeros([n, 3])
for i in range(n):
coords[df['Name'][i]] = [
df['Lat'][i],
df['Lon'][i],
]
#try:
self.cartopy_canvas.plot_map(df['Lat'][0],
df['Lon'][0],
0,
0,
0,
0,
resolution="low",
stations=coords)
#except:
# pass
def FK_plot(self):
self.canvas_stack.set_new_subplot(nrows=1, ncols=1)
starttime = convert_qdatetime_utcdatetime(self.starttime_date)
endtime = convert_qdatetime_utcdatetime(self.endtime_date)
selection = self.inventory.select(station=self.stationLE.text(),
channel=self.channelLE.text())
if self.trimCB.isChecked():
wavenumber = array_analysis.array()
relpower, abspower, AZ, Slowness, T = wavenumber.FK(
self.st, selection, starttime, endtime, self.fminFK_bind.value,
self.fmaxFK_bind.value, self.smaxFK_bind.value,
self.slow_grid_bind.value, self.timewindow_bind.value,
self.overlap_bind.value)
self.canvas_fk.scatter3d(T,
relpower,
relpower,
axes_index=0,
clabel="Power [dB]")
self.canvas_fk.scatter3d(T,
abspower,
relpower,
axes_index=1,
clabel="Power [dB]")
self.canvas_fk.scatter3d(T,
AZ,
relpower,
axes_index=2,
clabel="Power [dB]")
self.canvas_fk.scatter3d(T,
Slowness,
relpower,
axes_index=3,
clabel="Power [dB]")
self.canvas_fk.set_ylabel(0, " Rel Power ")
self.canvas_fk.set_ylabel(1, " Absolute Power ")
self.canvas_fk.set_ylabel(2, " Back Azimuth ")
self.canvas_fk.set_ylabel(3, " Slowness [s/km] ")
self.canvas_fk.set_xlabel(3, " Time [s] ")
ax = self.canvas_fk.get_axe(3)
formatter = mdt.DateFormatter('%H:%M:%S')
ax.xaxis.set_major_formatter(formatter)
ax.xaxis.set_tick_params(rotation=30)
else:
md = MessageDialog(self)
md.set_info_message("Please select dates and then check Trim box")
def on_click_matplotlib(self, event, canvas):
output_path = os.path.join(ROOT_DIR, 'arrayanalysis', 'dataframe.csv')
if isinstance(canvas, MatplotlibCanvas):
st = self.st.copy()
wavenumber = array_analysis.array()
selection = self.inventory.select(station=self.stationLE.text(),
channel=self.channelLE.text())
x1, y1 = event.xdata, event.ydata
DT = x1
Z, Sxpow, Sypow, coord = wavenumber.FKCoherence(
st, selection, DT, self.fminFK_bind.value,
self.fmaxFK_bind.value, self.smaxFK_bind.value,
self.timewindow_bind.value, self.slow_grid_bind.value,
self.methodSB.currentText())
backacimuth = wavenumber.azimuth2mathangle(
np.arctan2(Sypow, Sxpow) * 180 / np.pi)
slowness = np.abs(Sxpow, Sypow)
if self.methodSB.currentText() == "FK":
clabel = "Power"
elif self.methodSB.currentText() == "MTP.COHERENCE":
clabel = "Magnitude Coherence"
Sx = np.arange(-1 * self.smaxFK_bind.value, self.smaxFK_bind.value,
self.slow_grid_bind.value)[np.newaxis]
nx = len(Sx[0])
x = y = np.linspace(-1 * self.smaxFK_bind.value,
self.smaxFK_bind.value, nx)
X, Y = np.meshgrid(x, y)
self.canvas_slow_map.plot_contour(X,
Y,
Z,
axes_index=0,
clabel=clabel,
cmap=plt.get_cmap("jet"))
self.canvas_slow_map.set_xlabel(0, "Sx [s/km]")
self.canvas_slow_map.set_ylabel(0, "Sy [s/km]")
# Save in a dataframe the pick value
x1 = wavenumber.gregorian2date(x1)
self.picks['Time'].append(x1.isoformat())
self.picks['Phase'].append(self.phaseCB.currentText())
self.picks['BackAzimuth'].append(backacimuth[0])
self.picks['Slowness'].append(slowness[0])
self.picks['Power'].append(np.max(Z))
df = pd.DataFrame(self.picks)
df.to_csv(output_path, index=False, header=True)
# Call Stack and Plot###
#stream_stack, time = wavenumber.stack_stream(self.root_pathFK_bind.value, Sxpow, Sypow, coord)
if st:
st2 = self.st.copy()
# Align for the maximum power and give the data of the traces
stream_stack, self.time, self.stats = wavenumber.stack_stream(
st2, Sxpow, Sypow, coord)
# stack the traces
self.stack = wavenumber.stack(
stream_stack, stack_type=self.stackCB.currentText())
self.canvas_stack.plot(self.time,
self.stack,
axes_index=0,
linewidth=0.75)
self.canvas_stack.set_xlabel(0, " Time [s] ")
self.canvas_stack.set_ylabel(0, "Stack Amplitude")
def filter_error_message(self, msg):
md = MessageDialog(self)
md.set_info_message(msg)
def plot_seismograms(self, FK=True):
if FK:
starttime = convert_qdatetime_utcdatetime(self.starttime_date)
endtime = convert_qdatetime_utcdatetime(self.endtime_date)
else:
starttime = convert_qdatetime_utcdatetime(self.starttime_date_BP)
endtime = convert_qdatetime_utcdatetime(self.endtime_date_BP)
diff = endtime - starttime
if FK:
file_path = self.root_pathFK_bind.value
else:
file_path = self.root_pathBP_bind.value
obsfiles = []
for dirpath, _, filenames in os.walk(file_path):
for f in filenames:
if f != ".DS_Store":
obsfiles.append(os.path.abspath(os.path.join(dirpath, f)))
obsfiles.sort()
parameters = self.__parameters.getParameters()
all_traces = []
trace_number = 0
for file in obsfiles:
sd = SeismogramDataAdvanced(file)
if FK:
if self.trimCB.isChecked() and diff >= 0:
tr = sd.get_waveform_advanced(
parameters,
self.inventory,
filter_error_callback=self.filter_error_message,
start_time=starttime,
end_time=endtime,
trace_number=trace_number)
else:
tr = sd.get_waveform_advanced(
parameters,
self.inventory,
filter_error_callback=self.filter_error_message,
trace_number=trace_number)
else:
if self.trimCB_BP.isChecked() and diff >= 0:
tr = sd.get_waveform_advanced(
parameters,
self.inventory,
filter_error_callback=self.filter_error_message,
start_time=starttime,
end_time=endtime,
trace_number=trace_number)
else:
tr = sd.get_waveform_advanced(
parameters,
self.inventory,
filter_error_callback=self.filter_error_message,
trace_number=trace_number)
all_traces.append(tr)
trace_number = trace_number + 1
self.st = Stream(traces=all_traces)
if FK:
if self.selectCB.isChecked():
self.st = self.st.select(station=self.stationLE.text(),
channel=self.channelLE.text())
else:
if self.selectCB_BP.isChecked():
self.st = self.st.select(network=self.stationLE_BP.text(),
station=self.stationLE_BP.text(),
channel=self.channelLE_BP.text())
self.stream_frame = MatplotlibFrame(self.st, type='normal')
self.stream_frame.show()
def stationsInfo(self, FK=True):
if FK:
obsfiles = MseedUtil.get_mseed_files(self.root_pathFK_bind.value)
else:
obsfiles = MseedUtil.get_mseed_files(self.root_pathBP_bind.value)
obsfiles.sort()
sd = []
for file in obsfiles:
st = SeismogramDataAdvanced(file)
station = [
st.stats.Network, st.stats.Station, st.stats.Location,
st.stats.Channel, st.stats.StartTime, st.stats.EndTime,
st.stats.Sampling_rate, st.stats.Npts
]
sd.append(station)
self._stations_info = StationsInfo(sd, check=True)
self._stations_info.show()
def write(self):
root_path = os.path.dirname(os.path.abspath(__file__))
if "darwin" == platform:
dir_path = pw.QFileDialog.getExistingDirectory(
self, 'Select Directory', root_path)
else:
dir_path = pw.QFileDialog.getExistingDirectory(
self, 'Select Directory', root_path,
pw.QFileDialog.DontUseNativeDialog)
if dir_path:
n = len(self.st)
try:
if len(n) > 0:
for j in range(n):
tr = self.st[j]
t1 = tr.stats.starttime
id = tr.id + "." + "D" + "." + str(
t1.year) + "." + str(t1.julday)
print(tr.id, "Writing data processed")
path_output = os.path.join(dir_path, id)
tr.write(path_output, format="MSEED")
else:
md = MessageDialog(self)
md.set_info_message("Nothing to write")
except:
pass
def write_stack(self):
if self.stack is not None and len(self.stack) > 0:
root_path = os.path.dirname(os.path.abspath(__file__))
if "darwin" == platform:
dir_path = pw.QFileDialog.getExistingDirectory(
self, 'Select Directory', root_path)
else:
dir_path = pw.QFileDialog.getExistingDirectory(
self, 'Select Directory', root_path,
pw.QFileDialog.DontUseNativeDialog)
if dir_path:
tr = Trace(data=self.stack, header=self.stats)
file = os.path.join(dir_path, tr.id)
tr.write(file, format="MSEED")
else:
md = MessageDialog(self)
md.set_info_message("Nothing to write")
def __to_UTC(self, DT):
# Convert start from Greogorian to actual date
Time = DT
Time = Time - int(Time)
d = date.fromordinal(int(DT))
date1 = d.isoformat()
H = (Time * 24)
H1 = int(H) # Horas
minutes = (H - int(H)) * 60
minutes1 = int(minutes)
seconds = (minutes - int(minutes)) * 60
H1 = str(H1).zfill(2)
minutes1 = str(minutes1).zfill(2)
seconds = "%.2f" % seconds
seconds = str(seconds).zfill(2)
DATE = date1 + "T" + str(H1) + minutes1 + seconds
t1 = UTCDateTime(DATE)
return t1
def on_select(self, ax_index, xmin, xmax):
self.t1 = self.__to_UTC(xmin)
self.t2 = self.__to_UTC(xmax)
def open_solutions(self):
output_path = os.path.join(ROOT_DIR, 'arrayanalysis', 'dataframe.csv')
try:
command = "{} {}".format('open', output_path)
exc_cmd(command, cwd=ROOT_DIR)
except:
md = MessageDialog(self)
md.set_error_message("Coundn't open solutions file")
### New part back-projection
def create_grid(self):
area_coords = [
self.minLonBP, self.maxLonBP, self.minLatBP, self.maxLatBP
]
bp = back_proj_organize(self, self.rootPathFormBP,
self.datalessPathFormBP, area_coords,
self.sxSB.value, self.sxSB.value,
self.depthSB.value)
mapping = bp.create_dict()
try:
self.path_file = os.path.join(self.output_path_bindBP.value,
"mapping.pkl")
file_to_store = open(self.path_file, "wb")
pickle.dump(mapping, file_to_store)
md = MessageDialog(self)
md.set_info_message("BackProjection grid created succesfully!!!")
except:
md = MessageDialog(self)
md.set_error_message("Coundn't create a BackProjection grid")
def run_bp(self):
try:
if os.path.exists(self.path_file):
with open(self.path_file, 'rb') as handle:
mapping = pickle.load(handle)
except:
md = MessageDialog(self)
md.set_error_message(
"Please you need try to previously create a BackProjection grid"
)
power = backproj.run_back(self.st,
mapping,
self.time_winBP.value,
self.stepBP.value,
window=self.slide_winBP.value,
multichannel=self.mcccCB.isChecked(),
stack_process=self.methodBP.currentText())
#plot_cum(power, mapping['area_coords'], self.cum_sumBP.value, self.st)
plot_bp(power,
mapping['area_coords'],
self.cum_sumBP.value,
self.st,
output=self.output_path_bindBP.value)
fname = os.path.join(self.output_path_bindBP.value, "power.pkl")
file_to_store = open(fname, "wb")
pickle.dump(power, file_to_store)
def loadvideoBP(self):
self.path_video, _ = pw.QFileDialog.getOpenFileName(
self, "Choose your BackProjection", ".",
"Video Files (*.mp4 *.flv *.ts *.mts *.avi)")
if self.path_video != '':
self.player.setVideoOutput(self.backprojection_widget)
self.player.setMedia(
QMediaContent(pyc.QUrl.fromLocalFile(self.path_video)))
md = MessageDialog(self)
md.set_info_message(
"Video containing BackProjection succesfully loaded")
else:
md = MessageDialog(self)
md.set_error_message(
"Video containing BackProjection couldn't be loaded")
def play_bp(self):
if self.player.state() == QMediaPlayer.PlayingState:
self.player.pause()
else:
self.player.play()
def open_help(self):
self.help.show()
def __init__(self):
super(ArrayAnalysisFrame, self).__init__()
self.setupUi(self)
self.__stations_dir = None
self.stream_frame = None
self.__metadata_manager = None
self.inventory = {}
self._stations_info = {}
self._stations_coords = {}
self.stack = None
self.canvas = MatplotlibCanvas(self.responseMatWidget)
self.canvas_fk = MatplotlibCanvas(self.widget_fk, nrows=4)
self.canvas_slow_map = MatplotlibCanvas(self.widget_slow_map)
self.canvas_fk.on_double_click(self.on_click_matplotlib)
self.canvas_stack = MatplotlibCanvas(self.widget_stack)
self.cartopy_canvas = CartopyCanvas(self.widget_map)
self.canvas.set_new_subplot(1, ncols=1)
#Binding
self.root_pathFK_bind = BindPyqtObject(self.rootPathFormFK)
self.root_pathBP_bind = BindPyqtObject(self.rootPathFormBP)
self.metadata_path_bind = BindPyqtObject(self.datalessPathForm,
self.onChange_metadata_path)
self.metadata_path_bindBP = BindPyqtObject(self.datalessPathFormBP,
self.onChange_metadata_path)
self.output_path_bindBP = BindPyqtObject(self.outputPathFormBP,
self.onChange_metadata_path)
self.fmin_bind = BindPyqtObject(self.fminSB)
self.fmax_bind = BindPyqtObject(self.fmaxSB)
self.grid_bind = BindPyqtObject(self.gridSB)
self.smax_bind = BindPyqtObject(self.smaxSB)
# On select
self.canvas_fk.register_on_select(self.on_select,
rectprops=dict(alpha=0.2,
facecolor='red'))
self.fminFK_bind = BindPyqtObject(self.fminFKSB)
self.fmaxFK_bind = BindPyqtObject(self.fmaxFKSB)
self.overlap_bind = BindPyqtObject(self.overlapSB)
self.timewindow_bind = BindPyqtObject(self.timewindowSB)
self.smaxFK_bind = BindPyqtObject(self.slowFKSB)
self.slow_grid_bind = BindPyqtObject(self.gridFKSB)
# Bind buttons
self.selectDirBtnFK.clicked.connect(
lambda: self.on_click_select_directory(self.root_pathFK_bind))
self.datalessBtn.clicked.connect(
lambda: self.on_click_select_metadata_file(self.metadata_path_bind
))
# Bind buttons BackProjection
self.selectDirBtnBP.clicked.connect(
lambda: self.on_click_select_directory(self.root_pathBP_bind))
self.datalessBtnBP.clicked.connect(
lambda: self.on_click_select_metadata_file(self.
metadata_path_bindBP))
self.outputBtn.clicked.connect(
lambda: self.on_click_select_directory(self.output_path_bindBP))
#Action Buttons
self.arfBtn.clicked.connect(lambda: self.arf())
self.runFKBtn.clicked.connect(lambda: self.FK_plot())
self.plotBtn.clicked.connect(lambda: self.plot_seismograms())
self.plotBtnBP.clicked.connect(lambda: self.plot_seismograms(FK=False))
self.actionSettings.triggered.connect(
lambda: self.open_parameters_settings())
self.actionProcessed_Seimograms.triggered.connect(self.write)
self.actionStacked_Seismograms.triggered.connect(self.write_stack)
self.stationsBtn.clicked.connect(lambda: self.stationsInfo())
self.stationsBtnBP.clicked.connect(lambda: self.stationsInfo(FK=False))
self.mapBtn.clicked.connect(self.stations_map)
self.actionCreate_Stations_File.triggered.connect(
self.stations_coordinates)
self.actionLoad_Stations_File.triggered.connect(self.load_path)
self.actionRunVespagram.triggered.connect(self.open_vespagram)
self.shortcut_open = pw.QShortcut(pqg.QKeySequence('Ctrl+O'), self)
self.shortcut_open.activated.connect(self.open_solutions)
self.create_gridBtn.clicked.connect(self.create_grid)
self.actionOpen_Help.triggered.connect(lambda: self.open_help())
self.load_videoBtn.clicked.connect(self.loadvideoBP)
# help Documentation
self.help = HelpDoc()
# Parameters settings
self.__parameters = ParametersSettings()
# Stations Coordinates
self.__stations_coords = StationsCoords()
# picks
self.picks = {
'Time': [],
'Phase': [],
'BackAzimuth': [],
'Slowness': [],
'Power': []
}
# video
self.player = QMediaPlayer(None, QMediaPlayer.VideoSurface)
self.player.setVideoOutput(self.backprojection_widget)
self.player.stateChanged.connect(self.mediaStateChanged)
self.player.positionChanged.connect(self.positionChanged)
self.player.durationChanged.connect(self.durationChanged)
self.playButton.setIcon(self.style().standardIcon(QStyle.SP_MediaPlay))
self.playButton.clicked.connect(self.play_bp)
self.positionSlider.sliderMoved.connect(self.setPosition)
class TimeAnalysisWidget(pw.QFrame, UiTimeAnalysisWidget):
def __init__(self, parent, current_index=-1, parent_name=None):
super(TimeAnalysisWidget, self).__init__()
self.setupUi(self)
ParentWidget.set_parent(parent, self, current_index)
if parent_name: # add parent name if given. Helps to make difference between the same widget
self.parent_name = parent_name
# embed matplotlib to qt widget
self.canvas = MatplotlibCanvas(self.plotMatWidget, nrows=2)
self.canvas.set_xlabel(1, "Time (s)")
self.canvas.on_double_click(self.on_double_click_matplotlib)
self.time_selector = TimeSelectorBox(self.PlotToolsWidget, 0)
self.filter = FilterBox(self.PlotToolsWidget, 1)
self.spectrum_box = SpectrumBox(self.PlotToolsWidget, 3)
self.station_info = StationInfoBox(self.PlotToolsWidget, 4)
# bind buttons
self.plotSeismogramBtn.clicked.connect(
lambda: self.on_click_plot_seismogram(self.canvas))
self.plotArrivalsBtn.clicked.connect(
lambda: self.on_click_plot_arrivals(self.canvas))
self.spectrum_box.register_plot_mtp(
lambda: self.on_click_mtp(self.canvas))
self.spectrum_box.register_plot_cwt(
lambda: self.on_click_cwt(self.canvas))
self.__file_selector = None
self.__event_info = None
self.is_envelop_checked = False
def register_file_selector(self, file_selector: FilesView):
self.__file_selector = file_selector
def set_event_info(self, event_into: EventInfoBox):
self.__event_info = event_into
@property
def file_selector(self) -> FilesView:
return self.__file_selector
@property
def event_info(self) -> EventInfoBox:
return self.__event_info
@property
def tracer_stats(self):
return ObspyUtil.get_stats(self.file_selector.file_path)
@property
def stream(self):
return read(self.file_selector.file_path)
@property
def trace(self):
return ObspyUtil.get_tracer_from_file(self.file_selector.file_path)
def validate_file(self):
if not MseedUtil.is_valid_mseed(self.file_selector.file_path):
msg = "The file {} is not a valid mseed. Please, choose a valid format".\
format(self.file_selector.file_name)
md = MessageDialog(self)
md.set_info_message(msg)
raise InvalidFile(msg)
def filter_error_message(self, msg):
md = MessageDialog(self)
md.set_info_message(msg)
def get_data(self):
filter_value = self.filter.filter_value
f_min = self.filter.min_freq
f_max = self.filter.max_freq
t1 = self.time_selector.start_time
t2 = self.time_selector.end_time
sd = SeismogramData.from_tracer(self.trace)
return sd.get_waveform(filter_error_callback=self.filter_error_message,
filter_value=filter_value,
f_min=f_min,
f_max=f_max,
start_time=t1,
end_time=t2)
def get_time_window(self):
t1 = self.time_selector.start_time
t2 = self.time_selector.end_time
return t1, t2
def plot_seismogram(self, canvas):
tr = self.get_data()
t = tr.times()
s1 = tr.data
canvas.plot(t, s1, 0, color="black", linewidth=0.5)
if self.is_envelop_checked:
analytic_sygnal = hilbert(s1)
envelope = np.abs(analytic_sygnal)
canvas.plot(t,
envelope,
0,
clear_plot=False,
linewidth=0.5,
color='sandybrown')
def plot_mt_spectrogram(self, canvas: MatplotlibCanvas):
win = int(self.spectrum_box.win_bind.value *
self.tracer_stats.Sampling_rate)
tbp = self.spectrum_box.tw_bind.value
ntapers = self.spectrum_box.ntapers_bind.value
f_min = self.filter.min_freq
f_max = self.filter.max_freq
ts, te = self.get_time_window()
mtspectrogram = MTspectrogram(self.file_selector.file_path, win, tbp,
ntapers, f_min, f_max)
x, y, log_spectrogram = mtspectrogram.compute_spectrogram(
start_time=ts, end_time=te, trace_filter=self.filter.filter_value)
canvas.plot_contour(x,
y,
log_spectrogram,
axes_index=1,
clabel="Power [dB]",
cmap=plt.get_cmap("jet"))
canvas.set_xlabel(1, "Time (s)")
def plot_cwt_spectrogram(self, canvas: MatplotlibCanvas):
tr = ObspyUtil.get_tracer_from_file(self.file_selector.file_path)
ts, te = self.get_time_window()
tr.trim(starttime=ts, endtime=te)
tr.detrend(type="demean")
fs = tr.stats.sampling_rate
f_min = 1. / self.spectrum_box.win_bind.value if self.filter.min_freq == 0 else self.filter.min_freq
f_max = self.filter.max_freq
ObspyUtil.filter_trace(tr, self.filter.filter_value, f_min, f_max)
nf = 40
tt = int(self.spectrum_box.win_bind.value *
self.tracer_stats.Sampling_rate)
wmin = self.spectrum_box.w1_bind.value
wmax = self.spectrum_box.w2_bind.value
npts = len(tr.data)
[ba, nConv, frex,
half_wave] = ccwt_ba_fast(npts, self.tracer_stats.Sampling_rate,
f_min, f_max, wmin, wmax, tt, nf)
cf, sc, scalogram = cwt_fast(tr.data, ba, nConv, frex, half_wave, fs)
#scalogram = ccwt(tr.data, self.tracer_stats.Sampling_rate, f_min, f_max, wmin, wmax, tt, nf)
scalogram = np.abs(scalogram)**2
t = np.linspace(0, self.tracer_stats.Delta * npts, npts)
scalogram2 = 10 * (np.log10(scalogram / np.max(scalogram)))
x, y = np.meshgrid(t, np.linspace(f_min, f_max, scalogram2.shape[0]))
max_cwt = np.max(scalogram2)
min_cwt = np.min(scalogram2)
canvas.plot(t[0:len(t) - 1],
cf,
0,
clear_plot=False,
is_twinx=True,
color="red",
linewidth=0.5)
norm = Normalize(vmin=min_cwt, vmax=max_cwt)
canvas.plot_contour(x,
y,
scalogram2,
axes_index=1,
clabel="Power [dB]",
levels=100,
cmap=plt.get_cmap("jet"),
norm=norm)
canvas.set_xlabel(1, "Time (s)")
def on_click_plot_seismogram(self, canvas):
try:
self.validate_file()
self.update_station_info()
self.plot_seismogram(canvas)
except InvalidFile:
pass
def on_click_mtp(self, canvas):
try:
self.validate_file()
self.update_station_info()
self.plot_mt_spectrogram(canvas)
except InvalidFile:
pass
def on_click_cwt(self, canvas):
try:
self.validate_file()
self.update_station_info()
self.plot_cwt_spectrogram(canvas)
except InvalidFile:
pass
def on_double_click_matplotlib(self, event, canvas):
pass
def on_click_plot_arrivals(self, canvas):
self.update_station_info()
self.plot_arrivals(canvas)
def update_station_info(self):
self.station_info.set_basic_info(self.tracer_stats)
def plot_arrivals(self, canvas):
self.event_info.set_canvas(canvas)
station_stats = StationsStats(self.tracer_stats.Station,
self.station_info.latitude,
self.station_info.longitude, 0.)
self.event_info.plot_arrivals(0, self.time_selector.start_time,
station_stats)
class FrequencyTimeFrame(pw.QWidget, UiFrequencyTime):
def __init__(self):
super(FrequencyTimeFrame, self).__init__()
self.setupUi(self)
self.solutions = []
self.periods_now = []
self.colors = ["white", "green", "black"]
self._stations_info = {}
self.parameters = ParametersSettings()
# Binds
self.root_path_bind = BindPyqtObject(self.rootPathForm_2, self.onChange_root_path)
self.canvas_plot1 = MatplotlibCanvas(self.widget_plot_up, ncols=2, sharey = True)
top = 0.900
bottom = 0.180
left = 0.045
right = 0.720
wspace = 0.135
self.canvas_plot1.figure.subplots_adjust(left=left, bottom=bottom, right=right, top=top, wspace=wspace, hspace=0.0)
ax = self.canvas_plot1.get_axe(0)
left,width = 0.2, 0.55
bottom, height = 0.180, 0.72
spacing = 0.02
coords_ax = [left+width+spacing, bottom, 0.2, height]
self.fig = ax.get_figure()
#self.ax_seism1 = self.fig.add_axes(coords_ax, sharey = ax)
self.ax_seism1 = self.fig.add_axes(coords_ax)
self.ax_seism1.yaxis.tick_right()
# Add file selector to the widget
self.file_selector = FilesView(self.root_path_bind.value, parent=self.fileSelectorWidget_2,
on_change_file_callback=lambda file_path: self.onChange_file(file_path))
# Binds
self.selectDirBtn_2.clicked.connect(lambda: self.on_click_select_directory(self.root_path_bind))
# action
self.plotBtn.clicked.connect(self.plot_seismogram)
self.plot2Btn.clicked.connect(self.run_phase_vel)
self.stationsBtn.clicked.connect(self.stations_info)
self.macroBtn.clicked.connect(lambda: self.open_parameters_settings())
# clicks
self.canvas_plot1.on_double_click(self.on_click_matplotlib)
self.canvas_plot1.mpl_connect('key_press_event', self.key_pressed)
def open_parameters_settings(self):
self.parameters.show()
def filter_error_message(self, msg):
md = MessageDialog(self)
md.set_info_message(msg)
def onChange_root_path(self, value):
"""
Fired every time the root_path is changed
:param value: The path of the new directory.
:return:
"""
self.file_selector.set_new_rootPath(value)
def onChange_file(self, file_path):
# Called every time user select a different file
pass
def on_click_select_directory(self, bind: BindPyqtObject):
if "darwin" == platform:
dir_path = pw.QFileDialog.getExistingDirectory(self, 'Select Directory', bind.value)
else:
dir_path = pw.QFileDialog.getExistingDirectory(self, 'Select Directory', bind.value,
pw.QFileDialog.DontUseNativeDialog)
if dir_path:
bind.value = dir_path
def on_click_select_file(self, bind: BindPyqtObject):
selected = pw.QFileDialog.getOpenFileName(self, "Select metadata file")
if isinstance(selected[0], str) and os.path.isfile(selected[0]):
bind.value = selected[0]
def find_indices(self, lst, condition):
return [i for i, elem in enumerate(lst) if condition(elem)]
def find_nearest(self, a, a0):
"Element in nd array `a` closest to the scalar value `a0`"
idx = np.abs(a - a0).argmin()
return a.flat[idx], idx
def stations_info(self):
sd = []
st = read(self.file_selector.file_path)
tr = st[0]
sd.append([tr.stats.network, tr.stats.station, tr.stats.location, tr.stats.channel, tr.stats.starttime,
tr.stats.endtime, tr.stats.sampling_rate, tr.stats.npts])
self._stations_info = StationsInfo(sd, check= False)
self._stations_info.show()
@property
def trace(self):
return ObspyUtil.get_tracer_from_file(self.file_selector.file_path)
def get_data(self):
parameters = self.parameters.getParameters()
file = self.file_selector.file_path
try:
sd = SeismogramDataAdvanced(file_path = file)
tr = sd.get_waveform_advanced(parameters, {}, filter_error_callback=self.filter_error_message)
#tr = st[0]
t = tr.times()
return tr, t
except:
return []
def convert_2_vel(self, tr):
geodetic = tr.stats.mseed['geodetic']
dist = geodetic[0]
return dist
#@AsycTime.run_async()
def plot_seismogram(self):
[tr1, t] = self.get_data()
tr = tr1.copy()
fs = tr1.stats.sampling_rate
selection = self.time_frequencyCB.currentText()
# take into acount causality
if self.causalCB.currentText() == "Causal":
starttime = tr.stats.starttime
endtime = tr.stats.starttime+int(len(tr.data) / (2*fs))
tr.trim(starttime=starttime,endtime=endtime)
data = np.flip(tr.data)
tr.data = data
else:
starttime = tr.stats.starttime +int(len(tr.data) / (2*fs))
endtime = tr.stats.endtime
tr.trim(starttime=starttime, endtime=endtime)
if selection == "Continuous Wavelet Transform":
nf = self.atomsSB.value()
f_min = 1 / self.period_max_cwtDB.value()
f_max = 1/ self.period_min_cwtDB.value()
wmin = self.wminSB.value()
wmax = self.wminSB.value()
npts = len(tr.data)
t = np.linspace(0, tr.stats.delta * npts, npts)
cw = ConvolveWaveletScipy(tr)
wavelet=self.wavelet_typeCB.currentText()
m = self.wavelets_param.value()
cw.setup_wavelet(wmin=wmin, wmax=wmax, tt=int(fs/f_min), fmin=f_min, fmax=f_max, nf=nf,
use_wavelet = wavelet, m = m, decimate=False)
scalogram2 = cw.scalogram_in_dbs()
phase, inst_freq, ins_freq_hz = cw.phase() # phase in radians
inst_freq = ins_freq_hz
#delay = cw.get_time_delay()
x, y = np.meshgrid(t, np.logspace(np.log10(f_min), np.log10(f_max), scalogram2.shape[0]))
#x = x + delay
# chop cero division
dist = self.convert_2_vel(tr)
vel = (dist / (x[:, 1:] * 1000))
min_time_idx = fs * (dist / (self.max_velDB.value() * 1000))
min_time_idx = int(min_time_idx)
max_time_idx = fs * (dist / (self.min_velDB.value() * 1000))
max_time_idx = int(max_time_idx)
period = 1 / y[:, 1:]
scalogram2 = scalogram2[:, 1:]
if self.ftCB.isChecked():
min_vel, idx_min_vel = self.find_nearest(vel[0, :], self.min_velDB.value())
max_vel, idx_max_vel = self.find_nearest(vel[0, :], self.max_velDB.value())
self.min_vel = min_vel
self.max_vel = max_vel
vel = vel[:, idx_max_vel:idx_min_vel]
period = period[:, idx_max_vel:idx_min_vel]
scalogram2 = scalogram2[:, idx_max_vel:idx_min_vel]
phase = phase[:, idx_max_vel:idx_min_vel]
inst_freq = inst_freq[:, idx_max_vel:idx_min_vel]
scalogram2 = np.clip(scalogram2, a_min=self.minlevelCB.value(), a_max=0)
min_cwt= self.minlevelCB.value()
max_cwt = 0
#scalogram2 = scalogram2+0.01
# flips
scalogram2 = scalogram2.T
scalogram2 = np.fliplr(scalogram2)
scalogram2 = np.flipud(scalogram2)
self.scalogram2 = scalogram2
phase = phase.T
phase = np.fliplr(phase)
phase = np.flipud(phase)
self.phase = phase
inst_freq = inst_freq.T
inst_freq = np.fliplr(inst_freq)
inst_freq = np.flipud(inst_freq)
self.inst_freq = inst_freq
vel = vel.T
vel = np.flipud(vel)
self.vel = vel
period = period.T
period = np.fliplr(period)
# extract ridge
ridge = np.max(scalogram2, axis = 0)
distance = self.dist_ridgDB.value()*vel.shape[0]/(max_vel-min_vel)
height = (self.minlevelCB.value(),0)
ridges, peaks, group_vel = self.find_ridges(scalogram2, vel, height, distance, self.numridgeSB.value())
#print(ridges)
#ridge_vel = []
# for j in range(len(ridge)):
# value, idx = self.find_nearest(scalogram2[:,j],ridge[j])
# ridge_vel.append(vel[idx,j])
self.t = dist/(1000*vel)
self.dist = dist/1000
# phase_vel = self.phase_vel(scalogram2, ridge, phase, inst_freq, t, dist/1000, n)
# phase_vel = np.flipud(phase_vel)
# Plot
self.ax_seism1.cla()
self.ax_seism1.plot(tr.data, tr.times() / tr.stats.sampling_rate, linewidth=0.5)
self.ax_seism1.plot(tr.data[min_time_idx:max_time_idx],
tr.times()[min_time_idx:max_time_idx] / tr.stats.sampling_rate,
color='red', linewidth=0.5)
self.ax_seism1.set_xlabel("Amplitude")
self.ax_seism1.set_ylabel("Time (s)")
self.canvas_plot1.clear()
self.canvas_plot1.plot_contour(period, vel, scalogram2, axes_index=1, levels = 100, clabel="Power [dB]",
cmap=plt.get_cmap("jet"), vmin=min_cwt, vmax=max_cwt, antialiased=True, xscale = "log")
self.canvas_plot1.set_xlabel(1, "Period (s)")
self.canvas_plot1.set_ylabel(1, "Group Velocity (km/s)")
# Plot ridges
for k in range(self.numridgeSB.value()):
self.canvas_plot1.plot(period[0,:], group_vel[k], axes_index=1, marker=".", color = self.colors[k],
clear_plot=False)
self.group_vel = group_vel
self.periods = period[0,:]
if selection == "Hilbert-Multiband":
f_min = 1 / self.period_max_mtDB.value()
f_max = 1/ self.period_min_mtDB.value()
npts = len(tr.data)
t = np.linspace(0, tr.stats.delta * npts, npts)
hg = hilbert_gauss(tr, f_min, f_max, self.freq_resDB.value())
scalogram2, phase, inst_freq, inst_freq_hz, f = hg.compute_filter_bank()
inst_freq = inst_freq_hz
scalogram2 = hg.envelope_db()
x, y = np.meshgrid(t, f[0:-1])
# chop cero division
dist = self.convert_2_vel(tr)
vel = (dist / (x[:, 1:] * 1000))
min_time_idx = fs * (dist / (self.max_velDB.value() * 1000))
min_time_idx = int(min_time_idx)
max_time_idx = fs * (dist / (self.min_velDB.value() * 1000))
max_time_idx = int(max_time_idx)
period = 1 / y[:, 1:]
scalogram2 = scalogram2[:, 1:]
if self.ftCB.isChecked():
min_vel, idx_min_vel = self.find_nearest(vel[0, :], self.min_velDB.value())
max_vel, idx_max_vel = self.find_nearest(vel[0, :], self.max_velDB.value())
self.min_vel = min_vel
self.max_vel = max_vel
vel = vel[:, idx_max_vel:idx_min_vel]
period = period[:, idx_max_vel:idx_min_vel]
scalogram2 = scalogram2[:, idx_max_vel:idx_min_vel]
phase = phase[:, idx_max_vel:idx_min_vel]
inst_freq = inst_freq[:, idx_max_vel:idx_min_vel]
scalogram2 = np.clip(scalogram2, a_min=self.minlevelCB.value(), a_max=0)
min_cwt = self.minlevelCB.value()
max_cwt = 0
# flips
scalogram2 = scalogram2.T
scalogram2 = np.fliplr(scalogram2)
scalogram2 = np.flipud(scalogram2)
self.scalogram2 = scalogram2
phase = phase.T
phase = np.fliplr(phase)
phase = np.flipud(phase)
self.phase = phase
inst_freq = inst_freq.T
inst_freq = np.fliplr(inst_freq)
inst_freq = np.flipud(inst_freq)
self.inst_freq = inst_freq
vel = vel.T
vel = np.flipud(vel)
self.vel = vel
period = period.T
period = np.fliplr(period)
# extract ridge
ridge = np.max(scalogram2, axis=0)
distance = self.dist_ridgDB.value() * vel.shape[0] / (max_vel - min_vel)
height = (self.minlevelCB.value(), 0)
ridges, peaks, group_vel = self.find_ridges(scalogram2, vel, height, distance, self.numridgeSB.value())
# print(ridges)
# ridge_vel = []
# for j in range(len(ridge)):
# value, idx = self.find_nearest(scalogram2[:,j],ridge[j])
# ridge_vel.append(vel[idx,j])
self.t = dist / (1000 * vel)
self.dist = dist / 1000
# phase_vel = self.phase_vel(scalogram2, ridge, phase, inst_freq, t, dist/1000, n)
# phase_vel = np.flipud(phase_vel)
# Plot
self.ax_seism1.cla()
self.ax_seism1.plot(tr.data, tr.times() / tr.stats.sampling_rate, linewidth=0.5)
self.ax_seism1.plot(tr.data[min_time_idx:max_time_idx],
tr.times()[min_time_idx:max_time_idx] / tr.stats.sampling_rate,
color='red', linewidth=0.5)
self.ax_seism1.set_xlabel("Amplitude")
self.ax_seism1.set_ylabel("Time (s)")
self.canvas_plot1.clear()
self.canvas_plot1.plot_contour(period, vel, scalogram2, axes_index=1, levels=100, clabel="Power [dB]",
cmap=plt.get_cmap("jet"), vmin=min_cwt, vmax=max_cwt, antialiased=True,
xscale="log")
self.canvas_plot1.set_xlabel(1, "Period (s)")
self.canvas_plot1.set_ylabel(1, "Group Velocity (km/s)")
# Plot ridges
for k in range(self.numridgeSB.value()):
self.canvas_plot1.plot(period[0, :], group_vel[k], axes_index=1, marker=".", color=self.colors[k],
clear_plot=False)
self.group_vel = group_vel
self.periods = period[0, :]
def run_phase_vel(self):
phase_vel_array = self.phase_vel2()
phase_vel__array = np.flipud(phase_vel_array)
test = np.arange(-5, 5, 1)
# Plot phase vel
ax2 = self.canvas_plot1.get_axe(0)
ax2.cla()
for k in range(len(test)):
ax2.semilogx(self.periods_now, phase_vel_array[k,:], linewidth = 0.0, marker=".")
#self.canvas_plot1.plot_contour(self.periods_now, phase_vel_array[k,:],np.ones([1, len(self.periods_now)]),
# 0, "scatter", show_colorbar=False, marker = '.', xscale="log")
#self.canvas_plot1.plot(self.periods_now, phase_vel_array[k,:], axes_index=0, marker=".", clear_plot=False,
# xscale="log")
if self.ftCB.isChecked():
ax2.set_xlim(self.period_min_cwtDB.value(), self.period_max_cwtDB.value())
ax2.set_ylim(self.min_vel, self.max_vel)
#
self.canvas_plot1.set_xlabel(0, "Period (s)")
self.canvas_plot1.set_ylabel(0, "Phase Velocity (km/s)")
def phase_vel2(self):
landa = -1*np.pi/4
phase_vel_array = np.zeros([len(np.arange(-5, 5, 1)), len(self.solutions)])
for k in np.arange(-5, 5, 1):
for j in range(len(self.solutions)):
value_period, idx_period = self.find_nearest(self.periods, self.periods_now[j])
value_group_vel, idx_group_vel = self.find_nearest(self.vel[:,0], self.solutions[j])
to = self.t[idx_group_vel , 0]
phase_test = self.phase[idx_group_vel, idx_period]
inst_freq_test = self.inst_freq[idx_group_vel, idx_period]
phase_vel_num = self.dist * inst_freq_test
phase_vel_den = phase_test+inst_freq_test*to-(np.pi/4)-k*2*np.pi+landa
phase_vel_array[k, j] = phase_vel_num / phase_vel_den
return phase_vel_array
def phase_vel(self, scalogram2, ridge, phase, inst_freq, t, dist, n):
# extract phase_vel info
phase_vel_array = np.zeros([n, len(ridge)])
for k in np.arange(-5, 5, 1):
for j in range(len(ridge)):
value, idx = self.find_nearest(scalogram2[:, j], ridge[j])
to = t[idx, j]
phase_test = phase[idx, j]
inst_freq_test = inst_freq[idx, j]
phase_vel_num = dist * inst_freq_test
phase_vel_den = phase_test+inst_freq_test*to-(np.pi/4)-k*2*np.pi
phase_vel_array[k, j] = phase_vel_num / phase_vel_den
return phase_vel_array
def find_ridges(self, scalogram2, vel, height, distance, num_ridges):
distance = int(distance)
dim = scalogram2.shape[1]
ridges = np.zeros([num_ridges, dim])
peak = np.zeros([num_ridges, dim])
group_vel = np.zeros([num_ridges, dim])
for j in range(dim):
peaks, properties = find_peaks(scalogram2[:,j], height = height, threshold=-5, distance = distance)
for k in range(num_ridges):
try:
if len(peaks)>0:
ridges[k, j] = peaks[k]
peak[k, j] = properties['peak_heights'][k]
group_vel[k,j] =vel[int(peaks[k]),0]
else:
ridges[k, j] = "NaN"
peak[k, j] = "NaN"
group_vel[k, j] = "NaN"
except:
ridges[k, j] = "NaN"
peak[k, j] = "NaN"
group_vel[k, j] = "NaN"
return ridges, peak, group_vel
def on_click_matplotlib(self, event, canvas):
if isinstance(canvas, MatplotlibCanvas):
x1_value, y1_value = event.xdata, event.ydata
period, pick_vel,_ = self.find_pos(x1_value, y1_value)
self.solutions.append(pick_vel)
self.periods_now.append(period)
self.canvas_plot1.plot(period, pick_vel, color = "purple", axes_index = 1, clear_plot = False, marker = "." )
def find_pos(self, x1, y1):
value_period, idx_periods = self.find_nearest(self.periods, x1)
dim = self.group_vel.shape[0]
rms = []
for k in range(dim):
group_vel_test = self.group_vel[k, :][idx_periods]
err = abs(group_vel_test - y1)
if err>0:
rms.append(err)
else:
err=100
rms.append(err)
rms = np.array(rms)
idx = np.argmin(rms)
return value_period, self.group_vel[idx, idx_periods], idx
def key_pressed(self, event):
if event.key == 'r':
x1_value, y1_value = event.xdata, event.ydata
print(x1_value, y1_value)
period, pick_vel,idx = self.find_pos(x1_value, y1_value)
# check if is in solutions
if period in self.periods_now and pick_vel in self.solutions:
self.periods_now.remove(period)
self.solutions.remove(pick_vel)
self.canvas_plot1.plot(period, pick_vel, color=self.colors[idx], axes_index=1, clear_plot=False, marker=".")
# if selection == "Multitaper Spectrogram":
#
# win = int(self.mt_window_lengthDB.value() * tr.stats.sampling_rate)
# win_half = int(win / (2 * fs))
# tbp = self.time_bandwidth_DB.value()
# ntapers = self.number_tapers_mtSB.value()
# f_min = 1 / self.period_max_mtDB.value()
# f_max = 1 / self.period_min_mtDB.value()
# mtspectrogram = MTspectrogram(self.file_selector.file_path, win, tbp, ntapers, f_min, f_max)
# x, y, log_spectrogram = mtspectrogram.compute_spectrogram(tr)
# # x in seconds, y in freqs
# x = x + win_half
# # chop cero division
# dist = self.convert_2_vel(tr)
# vel = (dist / (x[:, 1:] * 1000))
# min_time_idx = fs * (dist / (self.max_velDB.value() * 1000))
# min_time_idx = int(min_time_idx)
# max_time_idx = fs * (dist / (self.min_velDB.value() * 1000))
# max_time_idx = int(max_time_idx)
# period = 1 / y[:, 1:]
# log_spectrogram = log_spectrogram[:, 1:]
#
# if self.ftCB.isChecked():
# min_vel, idx_min_vel = self.find_nearest(vel[0, :], self.min_velDB.value())
# max_vel, idx_max_vel = self.find_nearest(vel[0, :], self.max_velDB.value())
# vel = vel[:, idx_max_vel:idx_min_vel]
# period = period[:, idx_max_vel:idx_min_vel]
# log_spectrogram = log_spectrogram[:, idx_max_vel:idx_min_vel]
#
# log_spectrogram = np.clip(log_spectrogram, a_min=self.minlevelCB.value(), a_max=0.05)
# min_log_spectrogram = self.minlevelCB.value()
# max_log_spectrogram = 0.05
# log_spectrogram = log_spectrogram + 0.05
#
# # flips
# log_spectrogram = log_spectrogram.T
# log_spectrogram = np.fliplr(log_spectrogram)
# log_spectrogram = np.flipud(log_spectrogram)
#
# vel = vel.T
# vel = np.flipud(vel)
#
# period = period.T
# period = np.fliplr(period)
#
# # Plot
# self.ax_seism1.cla()
# self.ax_seism1.plot(tr.data, tr.times() / tr.stats.sampling_rate, linewidth=0.5)
# self.ax_seism1.plot(tr.data[min_time_idx:max_time_idx],
# tr.times()[min_time_idx:max_time_idx] / tr.stats.sampling_rate,
# color='red', linewidth=0.5)
#
# self.ax_seism1.set_xlabel("Amplitude")
# self.ax_seism1.set_ylabel("Time (s)")
# self.canvas_plot1.clear()
# self.canvas_plot1.plot_contour(period, vel, log_spectrogram, axes_index=0, clabel="Power [dB]",
# cmap=plt.get_cmap("jet"), vmin=min_log_spectrogram, vmax=max_log_spectrogram,
# antialiased=True, xscale="log")
#
# # ax = self.canvas_plot1.get_axe(0)
# # ax.clabel(cs, levels = levels, fmt = '%2.1', colors = 'k', fontsize = 12)
# self.canvas_plot1.set_xlabel(0, "Period (s)")
# self.canvas_plot1.set_ylabel(0, "Group Velocity (m/s)")
class SyntheticsAnalisysFrame(pw.QMainWindow, UiSyntheticsAnalisysFrame):
def __init__(self, parent: pw.QWidget = None):
super(SyntheticsAnalisysFrame, self).__init__(parent)
self.setupUi(self)
ParentWidget.set_parent(parent, self)
self.setWindowTitle('Synthetics Analysis Frame')
self.setWindowIcon(pqg.QIcon(':\icons\pen-icon.png'))
#Initialize parametrs for plot rotation
self._z = {}
self._r = {}
self._t = {}
self._st = {}
self.inventory = {}
parameters = {}
self._generator = SyntheticsGeneratorDialog(self)
# 3C_Component
self.focmec_canvas = FocCanvas(self.widget_fp)
self.canvas = MatplotlibCanvas(self.plotMatWidget_3C)
self.canvas.set_new_subplot(3, ncols=1)
# Map
self.cartopy_canvas = CartopyCanvas(self.map_widget)
# binds
self.root_path_bind_3C = BindPyqtObject(self.rootPathForm_3C, self.onChange_root_path_3C)
self.vertical_form_bind = BindPyqtObject(self.verticalQLineEdit)
self.north_form_bind = BindPyqtObject(self.northQLineEdit)
self.east_form_bind = BindPyqtObject(self.eastQLineEdit)
self.generation_params_bind = BindPyqtObject(self.paramsPathLineEdit)
# accept drops
self.vertical_form_bind.accept_dragFile(drop_event_callback=self.drop_event)
self.north_form_bind.accept_dragFile(drop_event_callback=self.drop_event)
self.east_form_bind.accept_dragFile(drop_event_callback=self.drop_event)
self.generation_params_bind.accept_dragFile(drop_event_callback=self.drop_event)
self.paramsPathLineEdit.textChanged.connect(self._generationParamsChanged)
# Add file selector to the widget
self.file_selector = FilesView(self.root_path_bind_3C.value, parent=self.fileSelectorWidget)
self.file_selector.setDragEnabled(True)
self.selectDirBtn_3C.clicked.connect(self.on_click_select_directory_3C)
self.plotBtn.clicked.connect(self.on_click_rotate)
###
self.stationsBtn.clicked.connect(self.stationsInfo)
###
self.actionGenerate_synthetics.triggered.connect(lambda : self._generator.show())
def info_message(self, msg):
md = MessageDialog(self)
md.set_info_message(msg)
def _generationParamsChanged(self):
with open(self.generation_params_file, 'rb') as f:
self.params = pickle.load(f)
depth_est =self.params['sourcedepthinmeters']
depth_est =(float(depth_est))/1000
#self.paramsTextEdit.setPlainText(str(params))
self.paramsTextEdit.setPlainText("Earth Model: {model}".format(model=self.params['model']))
self.paramsTextEdit.appendPlainText("Event Coords: {lat} {lon} {depth}".format(
lat=self.params['sourcelatitude'],lon=self.params['sourcelongitude'],
depth=str(depth_est)))
self.paramsTextEdit.appendPlainText("Time: {time}".format(time=self.params['origintime']))
self.paramsTextEdit.appendPlainText("Units: {units}".format(units=self.params['units']))
if 'sourcedoublecouple' in self.params:
self.paramsTextEdit.appendPlainText("Source: {source}".format(source= self.params['sourcedoublecouple']))
if 'sourcemomenttensor' in self.params:
self.paramsTextEdit.appendPlainText("Source: {source}".format(source= self.params['sourcemomenttensor']))
@staticmethod
def drop_event(event: pqg.QDropEvent, bind_object: BindPyqtObject):
data = event.mimeData()
url = data.urls()[0]
bind_object.value = url.fileName()
@property
def north_component_file(self):
return os.path.join(self.root_path_bind_3C.value, self.north_form_bind.value)
@property
def vertical_component_file(self):
return os.path.join(self.root_path_bind_3C.value, self.vertical_form_bind.value)
@property
def east_component_file(self):
return os.path.join(self.root_path_bind_3C.value, self.east_form_bind.value)
@property
def generation_params_file(self):
return os.path.join(self.root_path_bind_3C.value, self.generation_params_bind.value)
def onChange_root_path_3C(self, value):
"""
Fired every time the root_path is changed
:param value: The path of the new directory.
:return:
"""
self.file_selector.set_new_rootPath(value)
# Function added for 3C Components
def on_click_select_directory_3C(self):
if "darwin" == platform:
dir_path = pw.QFileDialog.getExistingDirectory(self, 'Select Directory', self.root_path_bind_3C.value)
else:
dir_path = pw.QFileDialog.getExistingDirectory(self, 'Select Directory', self.root_path_bind_3C.value,
pw.QFileDialog.DontUseNativeDialog)
if dir_path:
self.root_path_bind_3C.value = dir_path
def on_click_rotate(self, canvas):
time1 = convert_qdatetime_utcdatetime(self.dateTimeEdit_4)
time2 = convert_qdatetime_utcdatetime(self.dateTimeEdit_5)
try:
sd = SeismogramData(self.vertical_component_file)
z = sd.get_waveform()
sd = SeismogramData(self.north_component_file)
n = sd.get_waveform()
sd = SeismogramData(self.east_component_file)
e = sd.get_waveform()
seismograms = [z, n, e]
time = z.times("matplotlib")
self._st = Stream(traces=seismograms)
for index, data in enumerate(seismograms):
self.canvas.plot(time, data, index, color="black", linewidth=0.5)
info = "{}.{}.{}".format(self._st[index].stats.network, self._st[index].stats.station,
self._st[index].stats.channel)
ax = self.canvas.get_axe(0)
ax.set_xlim(time1.matplotlib_date, time2.matplotlib_date)
formatter = mdt.DateFormatter('%Y/%m/%d/%H:%M:%S')
ax.xaxis.set_major_formatter(formatter)
self.canvas.set_plot_label(index, info)
self.canvas.set_xlabel(2, "Time (s)")
if 'sourcedoublecouple' in self.params:
self.focmec_canvas.drawSynthFocMec(0, first_polarity = self.params['sourcedoublecouple'], mti = [])
if 'sourcemomenttensor' in self.params:
self.focmec_canvas.drawSynthFocMec(0, first_polarity= [], mti=self.params['sourcemomenttensor'])
except InvalidFile:
self.info_message("Invalid mseed files. Please, make sure you have generated correctly the synthetics")
self.__map_coords()
def stationsInfo(self):
files = []
try:
if self.vertical_component_file and self.north_component_file and self.east_component_file:
files = [self.vertical_component_file, self.north_component_file, self.east_component_file]
except:
pass
sd = []
if len(files)==3:
for file in files:
try:
st = SeismogramDataAdvanced(file)
station = [st.stats.Network,st.stats.Station,st.stats.Location,st.stats.Channel,st.stats.StartTime,
st.stats.EndTime, st.stats.Sampling_rate, st.stats.Npts]
sd.append(station)
except:
pass
self._stations_info = StationsInfo(sd)
self._stations_info.show()
def __map_coords(self):
map_dict = {}
sd = []
with open(self.generation_params_file, 'rb') as f:
params = pickle.load(f)
n = len(params["bulk"])
for j in range(n):
for key in params["bulk"][j]:
if key == "latitude":
lat = params["bulk"][j][key]
elif key == "longitude":
lon = params["bulk"][j][key]
#elif key == "networkcode":
# net = params["bulk"][j][key]
elif key == "stationcode":
sta = params["bulk"][j][key]
sd.append(sta)
map_dict[sta] = [lon, lat]
self.cartopy_canvas.plot_map(params['sourcelongitude'], params['sourcelatitude'], 0, 0, 0, 0,
resolution='low', stations=map_dict)