Merge branch 'filterOptions' into develop

This commit is contained in:
2017-07-12 16:33:14 +02:00
8 changed files with 521 additions and 290 deletions

View File

@@ -3,289 +3,380 @@
defaults = {'rootpath': {'type': str,
'tooltip': 'project path',
'value': ''},
'value': '',
'namestring': 'Root path'},
'datapath': {'type': str,
'tooltip': 'data path',
'value': ''},
'value': '',
'namestring': 'Data path'},
'database': {'type': str,
'tooltip': 'name of data base',
'value': ''},
'value': '',
'namestring': 'Database path'},
'eventID': {'type': str,
'tooltip': 'event ID for single event processing (* for all events found in database)',
'value': ''},
'value': '',
'namestring': 'Event ID'},
'extent': {'type': str,
'tooltip': 'extent of array ("local", "regional" or "global")',
'value': 'local'},
'value': 'local',
'namestring': 'Array extent'},
'invdir': {'type': str,
'tooltip': 'full path to inventory or dataless-seed file',
'value': ''},
'value': '',
'namestring': 'Inversion dir'},
'datastructure': {'type': str,
'tooltip': 'choose data structure',
'value': 'PILOT'},
'value': 'PILOT',
'namestring': 'Datastructure'},
'apverbose': {'type': bool,
'tooltip': "choose 'True' or 'False' for terminal output",
'value': True},
'value': True,
'namestring': 'App. verbosity'},
'nllocbin': {'type': str,
'tooltip': 'path to NLLoc executable',
'value': ''},
'value': '',
'namestring': 'NLLoc bin path'},
'nllocroot': {'type': str,
'tooltip': 'root of NLLoc-processing directory',
'value': ''},
'value': '',
'namestring': 'NLLoc root path'},
'phasefile': {'type': str,
'tooltip': 'name of autoPyLoT-output phase file for NLLoc',
'value': 'AUTOPHASES.obs'},
'value': 'AUTOPHASES.obs',
'namestring': 'Phase filename'},
'ctrfile': {'type': str,
'tooltip': 'name of autoPyLoT-output control file for NLLoc',
'value': 'Insheim_min1d2015_auto.in'},
'value': 'Insheim_min1d2015_auto.in',
'namestring': 'Control filename'},
'ttpatter': {'type': str,
'tooltip': 'pattern of NLLoc ttimes from grid',
'value': 'ttime'},
'value': 'ttime',
'namestring': 'Traveltime pattern'},
'outpatter': {'type': str,
'tooltip': 'pattern of NLLoc-output file',
'value': 'AUTOLOC_nlloc'},
'value': 'AUTOLOC_nlloc',
'namestring': 'NLLoc output pattern'},
'vp': {'type': float,
'tooltip': 'average P-wave velocity',
'value': 3530.},
'value': 3530.,
'namestring': 'P-velocity'},
'rho': {'type': float,
'tooltip': 'average rock density [kg/m^3]',
'value': 2500.},
'value': 2500.,
'namestring': 'Density'},
'Qp': {'type': (float, float),
'tooltip': 'quality factor for P waves (Qp*f^a); list(Qp, a)',
'value': (300., 0.8)},
'value': (300., 0.8),
'namestring': ('Quality factor', 'Qp1', 'Qp2')},
'pstart': {'type': float,
'tooltip': 'start time [s] for calculating CF for P-picking',
'value': 15.0},
'value': 15.0,
'namestring': 'P start'},
'pstop': {'type': float,
'tooltip': 'end time [s] for calculating CF for P-picking',
'value': 60.0},
'value': 60.0,
'namestring': 'P stop'},
'sstart': {'type': float,
'tooltip': 'start time [s] relative to P-onset for calculating CF for S-picking',
'value': -1.0},
'value': -1.0,
'namestring': 'S start'},
'sstop': {'type': float,
'tooltip': 'end time [s] after P-onset for calculating CF for S-picking',
'value': 10.0},
'value': 10.0,
'namestring': 'S stop'},
'bpz1': {'type': (float, float),
'tooltip': 'lower/upper corner freq. of first band pass filter Z-comp. [Hz]',
'value': (2, 20)},
'value': (2, 20),
'namestring': ('Z-bandpass 1', 'Lower', 'Upper')},
'bpz2': {'type': (float, float),
'tooltip': 'lower/upper corner freq. of second band pass filter Z-comp. [Hz]',
'value': (2, 30)},
'value': (2, 30),
'namestring': ('Z-bandpass 2', '', '')},
'bph1': {'type': (float, float),
'tooltip': 'lower/upper corner freq. of first band pass filter H-comp. [Hz]',
'value': (2, 15)},
'value': (2, 15),
'namestring': ('H-bandpass 1', 'Lower', 'Upper')},
'bph2': {'type': (float, float),
'tooltip': 'lower/upper corner freq. of second band pass filter z-comp. [Hz]',
'value': (2, 20)},
'value': (2, 20),
'namestring': ('H-bandpass 2', '', '')},
'algoP': {'type': str,
'tooltip': 'choose algorithm for P-onset determination (HOS, ARZ, or AR3)',
'value': 'HOS'},
'value': 'HOS',
'namestring': 'P algorithm'},
'tlta': {'type': float,
'tooltip': 'for HOS-/AR-AIC-picker, length of LTA window [s]',
'value': 7.0},
'value': 7.0,
'namestring': 'LTA window'},
'hosorder': {'type': int,
'tooltip': 'for HOS-picker, order of Higher Order Statistics',
'value': 4},
'value': 4,
'namestring': 'HOS order'},
'Parorder': {'type': int,
'tooltip': 'for AR-picker, order of AR process of Z-component',
'value': 2},
'value': 2,
'namestring': 'AR order P'},
'tdet1z': {'type': float,
'tooltip': 'for AR-picker, length of AR determination window [s] for Z-component, 1st pick',
'value': 1.2},
'value': 1.2,
'namestring': 'AR det. window Z 1'},
'tpred1z': {'type': float,
'tooltip': 'for AR-picker, length of AR prediction window [s] for Z-component, 1st pick',
'value': 0.4},
'value': 0.4,
'namestring': 'AR pred. window Z 1'},
'tdet2z': {'type': float,
'tooltip': 'for AR-picker, length of AR determination window [s] for Z-component, 2nd pick',
'value': 0.6},
'value': 0.6,
'namestring': 'AR det. window Z 2'},
'tpred2z': {'type': float,
'tooltip': 'for AR-picker, length of AR prediction window [s] for Z-component, 2nd pick',
'value': 0.2},
'value': 0.2,
'namestring': 'AR pred. window Z 2'},
'addnoise': {'type': float,
'tooltip': 'add noise to seismogram for stable AR prediction',
'value': 0.001},
'value': 0.001,
'namestring': 'Add noise'},
'tsnrz': {'type': (float, float, float, float),
'tooltip': 'for HOS/AR, window lengths for SNR-and slope estimation [tnoise, tsafetey, tsignal, tslope] [s]',
'value': (3, 0.1, 0.5, 1.0)},
'value': (3, 0.1, 0.5, 1.0),
'namestring': ('SNR windows P', 'Noise', 'Safety', 'Signal', 'Slope')},
'pickwinP': {'type': float,
'tooltip': 'for initial AIC pick, length of P-pick window [s]',
'value': 3.0},
'value': 3.0,
'namestring': 'AIC window P'},
'Precalcwin': {'type': float,
'tooltip': 'for HOS/AR, window length [s] for recalculation of CF (relative to 1st pick)',
'value': 6.0},
'value': 6.0,
'namestring': 'Recal. window P'},
'aictsmooth': {'type': float,
'tooltip': 'for HOS/AR, take average of samples for smoothing of AIC-function [s]',
'value': 0.2},
'value': 0.2,
'namestring': 'AIC smooth P'},
'tsmoothP': {'type': float,
'tooltip': 'for HOS/AR, take average of samples for smoothing CF [s]',
'value': 0.1},
'value': 0.1,
'namestring': 'CF smooth P'},
'ausP': {'type': float,
'tooltip': 'for HOS/AR, artificial uplift of samples (aus) of CF (P)',
'value': 0.001},
'value': 0.001,
'namestring': 'Artificial uplift P'},
'nfacP': {'type': float,
'tooltip': 'for HOS/AR, noise factor for noise level determination (P)',
'value': 1.3},
'value': 1.3,
'namestring': 'Noise factor P'},
'algoS': {'type': str,
'tooltip': 'choose algorithm for S-onset determination (ARH or AR3)',
'value': 'ARH'},
'value': 'ARH',
'namestring': 'S algorithm'},
'tdet1h': {'type': float,
'tooltip': 'for HOS/AR, length of AR-determination window [s], H-components, 1st pick',
'value': 0.8},
'value': 0.8,
'namestring': 'AR det. window H 1'},
'tpred1h': {'type': float,
'tooltip': 'for HOS/AR, length of AR-prediction window [s], H-components, 1st pick',
'value': 0.4},
'value': 0.4,
'namestring': 'AR pred. window H 1'},
'tdet2h': {'type': float,
'tooltip': 'for HOS/AR, length of AR-determinaton window [s], H-components, 2nd pick',
'value': 0.6},
'value': 0.6,
'namestring': 'AR det. window H 2'},
'tpred2h': {'type': float,
'tooltip': 'for HOS/AR, length of AR-prediction window [s], H-components, 2nd pick',
'value': 0.3},
'value': 0.3,
'namestring': 'AR pred. window H 2'},
'Sarorder': {'type': int,
'tooltip': 'for AR-picker, order of AR process of H-components',
'value': 4},
'value': 4,
'namestring': 'AR order S'},
'Srecalcwin': {'type': float,
'tooltip': 'for AR-picker, window length [s] for recalculation of CF (2nd pick) (H)',
'value': 5.0},
'value': 5.0,
'namestring': 'Recal. window S'},
'pickwinS': {'type': float,
'tooltip': 'for initial AIC pick, length of S-pick window [s]',
'value': 3.0},
'value': 3.0,
'namestring': 'AIC window S'},
'tsnrh': {'type': (float, float, float, float),
'tooltip': 'for ARH/AR3, window lengths for SNR-and slope estimation [tnoise, tsafetey, tsignal, tslope] [s]',
'value': (2, 0.2, 1.5, 0.5)},
'value': (2, 0.2, 1.5, 0.5),
'namestring': ('SNR windows S', 'Noise', 'Safety', 'Signal', 'Slope')},
'aictsmoothS': {'type': float,
'tooltip': 'for AIC-picker, take average of samples for smoothing of AIC-function [s]',
'value': 0.5},
'value': 0.5,
'namestring': 'AIC smooth S'},
'tsmoothS': {'type': float,
'tooltip': 'for AR-picker, take average of samples for smoothing CF [s] (S)',
'value': 0.7},
'value': 0.7,
'namestring': 'CF smooth S'},
'ausS': {'type': float,
'tooltip': 'for HOS/AR, artificial uplift of samples (aus) of CF (S)',
'value': 0.9},
'value': 0.9,
'namestring': 'Artificial uplift S'},
'nfacS': {'type': float,
'tooltip': 'for AR-picker, noise factor for noise level determination (S)',
'value': 1.5},
'value': 1.5,
'namestring': 'Noise factor S'},
'minfmweight': {'type': int,
'tooltip': 'minimum required P weight for first-motion determination',
'value': 1},
'value': 1,
'namestring': 'Min. P weight'},
'minFMSNR': {'type': float,
'tooltip': 'miniumum required SNR for first-motion determination',
'value': 2.},
'value': 2.,
'namestring': 'Min SNR'},
'fmpickwin': {'type': float,
'tooltip': 'pick window around P onset for calculating zero crossings',
'value': 0.2},
'value': 0.2,
'namestring': 'Zero crossings window'},
'timeerrorsP': {'type': (float, float, float, float),
'tooltip': 'discrete time errors [s] corresponding to picking weights [0 1 2 3] for P',
'value': (0.01, 0.02, 0.04, 0.08)},
'value': (0.01, 0.02, 0.04, 0.08),
'namestring': ('Time errors P', '0', '1', '2', '3')},
'timeerrorsS': {'type': (float, float, float, float),
'tooltip': 'discrete time errors [s] corresponding to picking weights [0 1 2 3] for S',
'value': (0.04, 0.08, 0.16, 0.32)},
'value': (0.04, 0.08, 0.16, 0.32),
'namestring': ('Time errors S', '0', '1', '2', '3')},
'minAICPslope': {'type': float,
'tooltip': 'below this slope [counts/s] the initial P pick is rejected',
'value': 0.8},
'value': 0.8,
'namestring': 'Min. slope P'},
'minAICPSNR': {'type': float,
'tooltip': 'below this SNR the initial P pick is rejected',
'value': 1.1},
'value': 1.1,
'namestring': 'Min. SNR P'},
'minAICSslope': {'type': float,
'tooltip': 'below this slope [counts/s] the initial S pick is rejected',
'value': 1.},
'value': 1.,
'namestring': 'Min. slope S'},
'minAICSSNR': {'type': float,
'tooltip': 'below this SNR the initial S pick is rejected',
'value': 1.5},
'value': 1.5,
'namestring': 'Min. SNR S'},
'minsiglength': {'type': float,
'tooltip': 'length of signal part for which amplitudes must exceed noiselevel [s]',
'value': 1.},
'value': 1.,
'namestring': 'Min. signal length'},
'noisefactor': {'type': float,
'tooltip': 'noiselevel*noisefactor=threshold',
'value': 1.0},
'value': 1.0,
'namestring': 'Noise factor'},
'minpercent': {'type': float,
'tooltip': 'required percentage of amplitudes exceeding threshold',
'value': 10.},
'value': 10.,
'namestring': 'Min amplitude [%]'},
'zfac': {'type': float,
'tooltip': 'P-amplitude must exceed at least zfac times RMS-S amplitude',
'value': 1.5},
'value': 1.5,
'namestring': 'Z factor'},
'mdttolerance': {'type': float,
'tooltip': 'maximum allowed deviation of P picks from median [s]',
'value': 6.0},
'value': 6.0,
'namestring': 'Median tolerance'},
'wdttolerance': {'type': float,
'tooltip': 'maximum allowed deviation from Wadati-diagram',
'value': 1.0},
'value': 1.0,
'namestring': 'Wadati tolerance'},
'WAscaling': {'type': (float, float, float),
'tooltip': 'Scaling relation (log(Ao)+Alog(r)+Br+C) of Wood-Anderson amplitude Ao [nm] \
If zeros are set, original Richter magnitude is calculated!',
'value': (0., 0., 0.)},
'tooltip': 'Scaling relation (log(Ao)+Alog(r)+Br+C) of Wood-Anderson amplitude Ao [nm] \
If zeros are set, original Richter magnitude is calculated!',
'value': (0., 0., 0.),
'namestring': ('Wood-Anderson scaling', '', '', '')},
'magscaling': {'type': (float, float),
'tooltip': 'Scaling relation for derived local magnitude [a*Ml+b]. \
If zeros are set, no scaling of network magnitude is applied!',
'value': (0., 0.)}
'tooltip': 'Scaling relation for derived local magnitude [a*Ml+b]. \
If zeros are set, no scaling of network magnitude is applied!',
'value': (0., 0.),
'namestring': ('Local mag. scaling', '', '')},
'minfreq': {'type': (float, float),
'tooltip': 'Lower filter frequency [P, S]',
'value': (1.0, 1.0),
'namestring': ('Lower freq.', 'P', 'S')},
'maxfreq': {'type': (float, float),
'tooltip': 'Upper filter frequency [P, S]',
'value': (10.0, 10.0),
'namestring': ('Upper freq.', '', '')},
'filter_order': {'type': (int, int),
'tooltip': 'filter order [P, S]',
'value': (2, 2),
'namestring': ('Order', '', '')},
'filter_type': {'type': (str, str),
'tooltip': 'filter type (bandpass, bandstop, lowpass, highpass) [P, S]',
'value': ('bandpass' , 'bandpass'),
'namestring': ('Type', '', '')}
}
settings_main={
@@ -311,6 +402,11 @@ settings_main={
'localmag':[
'WAscaling',
'magscaling'],
'filter':[
'minfreq',
'maxfreq',
'filter_order',
'filter_type'],
'pick':[
'extent',
'pstart',

View File

@@ -141,7 +141,8 @@ class PylotParameter(object):
all_names += self.get_main_para_names()['nlloc']
all_names += self.get_main_para_names()['smoment']
all_names += self.get_main_para_names()['localmag']
all_names += self.get_main_para_names()['pick']
all_names += self.get_main_para_names()['pick']
all_names += self.get_main_para_names()['filter']
all_names += self.get_special_para_names()['z']
all_names += self.get_special_para_names()['h']
all_names += self.get_special_para_names()['fm']
@@ -239,6 +240,8 @@ class PylotParameter(object):
'parameters for seismic moment estimation', separator)
self.write_section(fid_out, self.get_main_para_names()['localmag'],
'settings local magnitude', separator)
self.write_section(fid_out, self.get_main_para_names()['filter'],
'filter settings', separator)
self.write_section(fid_out, self.get_main_para_names()['pick'],
'common settings picker', separator)
fid_out.write(('#special settings for calculating CF#\n'+
@@ -338,12 +341,13 @@ class FilterOptions(object):
def parseFilterOptions(self):
if self:
robject = {'type': self.getFilterType(), 'corners': self.getOrder()}
if len(self.getFreq()) > 1:
if not self.getFilterType() in ['highpass', 'lowpass']:
robject['freqmin'] = self.getFreq()[0]
robject['freqmax'] = self.getFreq()[1]
else:
robject['freq'] = self.getFreq() if type(self.getFreq()) is \
float else self.getFreq()[0]
elif self.getFilterType() == 'highpass':
robject['freq'] = self.getFreq()[0]
elif self.getFilterType() == 'lowpass':
robject['freq'] = self.getFreq()[1]
return robject
return None

View File

@@ -12,38 +12,27 @@ from pylot.core.loc import hyposat
from pylot.core.loc import hypo71
from pylot.core.loc import hypodd
from pylot.core.loc import velest
from pylot.core.io.inputs import PylotParameter
def readFilterInformation(fname):
def convert2FreqRange(*args):
if len(args) > 1:
return [float(arg) for arg in args]
elif len(args) == 1:
return float(args[0])
return None
filter_file = open(fname, 'r')
filter_information = dict()
for filter_line in filter_file.readlines():
filter_line = filter_line.split(' ')
for n, pos in enumerate(filter_line):
if pos == '\n':
filter_line[n] = ''
filter_information[filter_line[0]] = {'filtertype': filter_line[1]
if filter_line[1]
else None,
'order': int(filter_line[2])
if filter_line[1]
else None,
'freq': convert2FreqRange(*filter_line[3:])
if filter_line[1]
else None}
def readDefaultFilterInformation(fname):
pparam = PylotParameter(fname)
return readFilterInformation(pparam)
def readFilterInformation(pylot_parameter):
p_filter = {'filtertype': pylot_parameter['filter_type'][0],
'freq': [pylot_parameter['minfreq'][0], pylot_parameter['maxfreq'][0]],
'order': int(pylot_parameter['filter_order'][0])}
s_filter = {'filtertype': pylot_parameter['filter_type'][1],
'freq': [pylot_parameter['minfreq'][1], pylot_parameter['maxfreq'][1]],
'order': int(pylot_parameter['filter_order'][1])}
filter_information = {'P': p_filter,
'S': s_filter}
return filter_information
FILTERDEFAULTS = readFilterInformation(os.path.join(os.path.expanduser('~'),
'.pylot',
'filter.in'))
FILTERDEFAULTS = readDefaultFilterInformation(os.path.join(os.path.expanduser('~'),
'.pylot',
'pylot.in'))
TIMEERROR_DEFAULTS = os.path.join(os.path.expanduser('~'),
'.pylot',

View File

@@ -756,7 +756,10 @@ class PickDlg(QDialog):
else:
self.autopicks = {}
self._init_autopicks = {}
self.filteroptions = FILTERDEFAULTS
if hasattr(self.parent(), 'filteroptions'):
self.filteroptions = self.parent().filteroptions
else:
self.filteroptions = FILTERDEFAULTS
self.pick_block = False
self.nextStation = QtGui.QCheckBox('Continue with next station.')
@@ -1230,7 +1233,10 @@ class PickDlg(QDialog):
def getFilterOptions(self, phase):
options = self.filteroptions[phase[0]]
return FilterOptions(**options)
if type(options) == dict:
return FilterOptions(**options)
else:
return options
def getXLims(self):
return self.cur_xlim
@@ -2142,7 +2148,7 @@ class TuneAutopicker(QWidget):
return parameters
def set_stretch(self):
self.tune_layout.setStretch(0, 3)
self.tune_layout.setStretch(0, 2)
self.tune_layout.setStretch(1, 1)
def clear_all(self):
@@ -2173,10 +2179,12 @@ class TuneAutopicker(QWidget):
self.qmb.show()
class PylotParaBox(QtGui.QWidget):
class PylotParaBox(QtGui.QWidget):
accepted = QtCore.Signal(str)
rejected = QtCore.Signal(str)
def __init__(self, parameter, parent=None):
'''
Generate Widget containing parameters for automatic picking algorithm.
Generate Widget containing parameters for PyLoT.
:param: parameter
:type: PylotParameter (object)
@@ -2200,7 +2208,9 @@ class PylotParaBox(QtGui.QWidget):
self.params_to_gui()
self._toggle_advanced_settings()
self.resize(720, 1280)
self.setWindowModality(QtCore.Qt.WindowModality.ApplicationModal)
self.setWindowModality(QtCore.Qt.WindowModality.ApplicationModal)
self.accepted.connect(self.params_from_gui)
self.rejected.connect(self.params_to_gui)
def _init_sublayouts(self):
self._main_layout = QtGui.QVBoxLayout()
@@ -2231,10 +2241,9 @@ class PylotParaBox(QtGui.QWidget):
self._dialog_buttons.addWidget(self._okay)
self._dialog_buttons.addWidget(self._close)
self._dialog_buttons.addWidget(self._apply)
self._okay.clicked.connect(self.params_from_gui)
self._okay.clicked.connect(self.accept)
self._okay.clicked.connect(self.close)
self._apply.clicked.connect(self.params_from_gui)
self._close.clicked.connect(self.params_to_gui)
self._apply.clicked.connect(self.accept)
self._close.clicked.connect(self.close)
self.layout.addLayout(self._dialog_buttons)
@@ -2277,8 +2286,6 @@ class PylotParaBox(QtGui.QWidget):
grid = QtGui.QGridLayout()
for index1, name in enumerate(parameter_names):
text = name + ' [?]'
label = QtGui.QLabel(text)
default_item = self.parameter.get_defaults()[name]
tooltip = default_item['tooltip']
tooltip += ' | type: {}'.format(default_item['type'])
@@ -2286,14 +2293,19 @@ class PylotParaBox(QtGui.QWidget):
typ = default_item['type']
box = self.create_box(typ, tooltip)
self.boxes[name] = box
namestring = default_item['namestring']
elif type(default_item['type']) == tuple:
boxes = []
values = self.parameter[name]
for index2, val in enumerate(values):
typ = default_item['type'][index2]
boxes.append(self.create_box(typ, tooltip))
box = self.create_multi_box(boxes)
headline = default_item['namestring'][1:]
box, lower = self.create_multi_box(boxes, headline)
self.boxes[name] = boxes
namestring = default_item['namestring'][0]
text = namestring + ' [?]'
label = QtGui.QLabel(text)
self.labels[name] = label
label.setToolTip(tooltip)
grid.addWidget(label, index1, 1)
@@ -2305,8 +2317,8 @@ class PylotParaBox(QtGui.QWidget):
box = QtGui.QLineEdit()
elif typ == float:
box = QtGui.QDoubleSpinBox()
box.setDecimals(5)
box.setRange(-10e5, 10e5)
box.setDecimals(4)
box.setRange(-10e4, 10e4)
elif typ == int:
box = QtGui.QSpinBox()
elif typ == bool:
@@ -2315,13 +2327,20 @@ class PylotParaBox(QtGui.QWidget):
raise TypeError('Unrecognized type {}'.format(typ))
return box
def create_multi_box(self, boxes):
def create_multi_box(self, boxes, headline=None):
box = QtGui.QWidget()
hl = QtGui.QVBoxLayout()
for b in boxes:
hl.addWidget(b)
box.setLayout(hl)
return box
gl = QtGui.QGridLayout()
row = 0
if headline:
for index, item in enumerate(headline):
if not item:
continue
gl.addWidget(QtGui.QLabel(item), 0, index, 4)
row = 1
for index, b in enumerate(boxes):
gl.addWidget(b, row, index)
box.setLayout(gl)
return box, row
def add_tab(self, layout, name):
widget = QtGui.QWidget()
@@ -2340,8 +2359,10 @@ class PylotParaBox(QtGui.QWidget):
self.parameter.get_main_para_names()['smoment'], 2)
self.add_to_layout(self._main_layout, 'Local Magnitude',
self.parameter.get_main_para_names()['localmag'], 3)
self.add_to_layout(self._main_layout, 'Filter Settings',
self.parameter.get_main_para_names()['filter'], 4)
self.add_to_layout(self._main_layout, 'Common Settings Characteristic Function',
self.parameter.get_main_para_names()['pick'], 4)
self.parameter.get_main_para_names()['pick'], 5)
self.add_tab(self._main_layout, 'Main Settings')
def add_special_pick_parameters_tab(self):
@@ -2355,10 +2376,10 @@ class PylotParaBox(QtGui.QWidget):
self.parameter.get_special_para_names()['quality'], 4)
self.add_tab(self._advanced_layout, 'Advanced Settings')
# def gen_h_seperator(self):
# seperator = QtGui.QFrame()
# seperator.setFrameShape(QtGui.QFrame.HLine)
# return seperator
# def gen_h_separator(self):
# separator = QtGui.QFrame()
# separator.setFrameShape(QtGui.QFrame.HLine)
# return separator
# def gen_headline(self, text):
# label=QtGui.QLabel(text)
@@ -2559,7 +2580,14 @@ class PylotParaBox(QtGui.QWidget):
self._exclusive_dialog.close()
self._exclusive_widgets = []
QtGui.QWidget.show(self)
def close(self):
self.rejected.emit('reject')
QtGui.QWidget.close(self)
def accept(self):
self.accepted.emit('accept')
def _warn(self, message):
self.qmb = QtGui.QMessageBox(QtGui.QMessageBox.Icon.Warning,
'Warning', message)
@@ -3095,13 +3123,65 @@ class FilterOptionsDialog(QDialog):
adjust parameters for filtering seismic data.
"""
super(FilterOptionsDialog, self).__init__()
if parent is not None and parent.getFilterOptions():
self.filterOptions = parent.getFilterOptions()
elif filterOptions is not None:
self.filterOptions = FilterOptions(filterOptions)
if parent is not None and parent.getFilters():
self.filterOptions = parent.getFilters()
# elif filterOptions is not None:
# self.filterOptions = filterOptions
else:
self.filterOptions = FilterOptions()
self.filterOptions = {'P': FilterOptions(),
'S': FilterOptions()}
self.setWindowTitle(titleString)
self.filterOptionWidgets = {'P': FilterOptionsWidget(self.filterOptions['P']),
'S': FilterOptionsWidget(self.filterOptions['S'])}
self.setupUi()
self.updateUi()
self.connectButtons()
def setupUi(self):
self.main_layout = QtGui.QVBoxLayout()
self.filter_layout = QtGui.QHBoxLayout()
self.groupBoxes = {'P': QtGui.QGroupBox('P Filter'),
'S': QtGui.QGroupBox('S Filter')}
self.buttonBox = QDialogButtonBox(QDialogButtonBox.Ok |
QDialogButtonBox.Cancel)
for key in ['P', 'S']:
groupbox = self.groupBoxes[key]
box_layout = QtGui.QVBoxLayout()
groupbox.setLayout(box_layout)
self.filter_layout.addWidget(groupbox)
box_layout.addWidget(self.filterOptionWidgets[key])
self.main_layout.addLayout(self.filter_layout)
self.main_layout.addWidget(self.buttonBox)
self.setLayout(self.main_layout)
def connectButtons(self):
self.buttonBox.accepted.connect(self.accept)
self.buttonBox.rejected.connect(self.reject)
def accept(self):
self.updateUi()
QDialog.accept(self)
def updateUi(self):
returnvals = []
for foWidget in self.filterOptionWidgets.values():
foWidget.updateUi()
def getFilterOptions(self):
filteroptions = {'P': self.filterOptionWidgets['P'].getFilterOptions(),
'S': self.filterOptionWidgets['S'].getFilterOptions()}
return filteroptions
class FilterOptionsWidget(QWidget):
def __init__(self, filterOptions):
super(FilterOptionsWidget, self).__init__()
self.filterOptions = filterOptions
_enable = True
if self.getFilterOptions().getFilterType() is None:
@@ -3112,6 +3192,7 @@ class FilterOptionsDialog(QDialog):
self.freqminSpinBox = QDoubleSpinBox()
self.freqminSpinBox.setRange(5e-7, 1e6)
self.freqminSpinBox.setDecimals(2)
self.freqminSpinBox.setSingleStep(0.01)
self.freqminSpinBox.setSuffix(' Hz')
self.freqminSpinBox.setEnabled(_enable)
@@ -3120,22 +3201,23 @@ class FilterOptionsDialog(QDialog):
self.freqmaxSpinBox = QDoubleSpinBox()
self.freqmaxSpinBox.setRange(5e-7, 1e6)
self.freqmaxSpinBox.setDecimals(2)
self.freqmaxSpinBox.setSingleStep(0.01)
self.freqmaxSpinBox.setSuffix(' Hz')
if _enable:
# if _enable:
# self.freqminSpinBox.setValue(self.getFilterOptions().getFreq()[0])
# if self.getFilterOptions().getFilterType() in ['bandpass',
# 'bandstop']:
# self.freqmaxSpinBox.setValue(
# self.getFilterOptions().getFreq()[1])
# else:
try:
self.freqminSpinBox.setValue(self.getFilterOptions().getFreq()[0])
if self.getFilterOptions().getFilterType() in ['bandpass',
'bandstop']:
self.freqmaxSpinBox.setValue(
self.getFilterOptions().getFreq()[1])
else:
try:
self.freqmaxSpinBox.setValue(self.getFilterOptions().getFreq())
self.freqminSpinBox.setValue(self.getFilterOptions().getFreq())
except TypeError as e:
print(e)
self.freqmaxSpinBox.setValue(1.)
self.freqminSpinBox.setValue(.1)
self.freqmaxSpinBox.setValue(self.getFilterOptions().getFreq()[1])
except TypeError as e:
print(e)
self.freqmaxSpinBox.setValue(1.)
self.freqminSpinBox.setValue(.1)
typeOptions = [None, "bandpass", "bandstop", "lowpass", "highpass"]
@@ -3165,44 +3247,60 @@ class FilterOptionsDialog(QDialog):
self.freqmaxSpinBox.setEnabled(_enable)
self.buttonBox = QDialogButtonBox(QDialogButtonBox.Ok |
QDialogButtonBox.Cancel)
try:
self.orderSpinBox.setValue(self.getFilterOptions().getOrder())
except:
self.orderSpinBox.setValue(2)
grid = QGridLayout()
grid.addWidget(self.freqGroupBox, 0, 2, 1, 2)
grid.addLayout(self.selectTypeLayout, 1, 2, 1, 2)
grid.addWidget(self.buttonBox, 2, 2, 1, 2)
self.setLayout(grid)
self.freqminSpinBox.valueChanged.connect(self.updateUi)
self.freqmaxSpinBox.valueChanged.connect(self.updateUi)
self.freqminSpinBox.valueChanged.connect(self.checkMin)
self.freqmaxSpinBox.valueChanged.connect(self.checkMax)
self.orderSpinBox.valueChanged.connect(self.updateUi)
self.selectTypeCombo.currentIndexChanged.connect(self.updateUi)
self.buttonBox.accepted.connect(self.accept)
self.buttonBox.rejected.connect(self.reject)
def checkMin(self):
if not self.freqminSpinBox.value() <= self.freqmaxSpinBox.value():
self.freqmaxSpinBox.setValue(self.freqminSpinBox.value())
def checkMax(self):
if not self.freqminSpinBox.value() <= self.freqmaxSpinBox.value():
self.freqminSpinBox.setValue(self.freqmaxSpinBox.value())
def updateUi(self):
type = self.selectTypeCombo.currentText()
_enable = type in ['bandpass', 'bandstop']
freq = [self.freqminSpinBox.value(), self.freqmaxSpinBox.value()]
self.freqmaxLabel.setEnabled(_enable)
self.freqmaxSpinBox.setEnabled(_enable)
self.freqmaxLabel.setEnabled(True)
self.freqmaxSpinBox.setEnabled(True)
self.freqminLabel.setEnabled(True)
self.freqminSpinBox.setEnabled(True)
self.freqminLabel.setText("minimum:")
self.freqmaxLabel.setText("maximum:")
if not _enable:
self.freqminLabel.setText("cutoff:")
self.freqmaxSpinBox.setValue(freq[0])
freq.remove(freq[1])
if type == 'highpass':
self.freqminLabel.setText("cutoff:")
self.freqmaxLabel.setEnabled(False)
self.freqmaxSpinBox.setEnabled(False)
elif type == 'lowpass':
self.freqmaxLabel.setText("cutoff:")
self.freqminLabel.setEnabled(False)
self.freqminSpinBox.setEnabled(False)
else:
self.freqminLabel.setText("minimum:")
if not isSorted(freq):
QMessageBox.warning(self, "Value error",
"Maximum frequency must be at least the "
"same value as minimum frequency (notch)!")
self.freqmaxSpinBox.setValue(freq[0])
"same value as minimum frequency (notch)! "
"Adjusted maximum frequency automatically!")
freq[1] = freq[0]
self.freqmaxSpinBox.setValue(freq[1])
self.freqmaxSpinBox.selectAll()
self.freqmaxSpinBox.setFocus()
return
self.getFilterOptions().setFilterType(type)
self.getFilterOptions().setFreq(freq)
@@ -3218,10 +3316,6 @@ class FilterOptionsDialog(QDialog):
return dlg.getFilterOptions()
return None
def accept(self):
self.updateUi()
QDialog.accept(self)
class LoadDataDlg(QDialog):
def __init__(self, parent=None):