marcel/pylot
3
0
Fork 0
Code Issues 7 Pull Requests 1 Releases Wiki Activity

Merge branch 'develop'

Browse Source
This commit is contained in:
Marcel Paffrath 2017-06-20 10:29:50 +02:00
commit d293a5d9e1
5 changed files with 99 additions and 32 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

52
QtPyLoT.py
View File

@ -650,7 +650,7 @@ class MainWindow(QMainWindow):
data[type] += Data(self, evtdata=fname)
if not loc:
self.updatePicks(type=type)
if self.get_current_event.picks:
if self.get_current_event().picks:
self.plotWaveformDataThread()
self.drawPicks(picktype=type)
self.draw()
@ -716,6 +716,8 @@ class MainWindow(QMainWindow):
'''
if self.dataStructure:
directory = self.get_current_event_path(eventbox)
if not directory:
return
fnames = [os.path.join(directory, f) for f in os.listdir(directory)]
else:
raise DatastructureError('not specified')
@ -734,13 +736,17 @@ class MainWindow(QMainWindow):
'''
Return event path of event (type QtPylot.Event) currently selected in eventbox.
'''
return self.get_current_event(eventbox).path
event = self.get_current_event(eventbox)
if event:
return event.path
def get_current_event_name(self, eventbox=None):
'''
Return event path of event (type QtPylot.Event) currently selected in eventbox.
'''
return self.get_current_event_path(eventbox).split('/')[-1]
path = self.get_current_event_path(eventbox)
if path:
return path.split('/')[-1]
def getLastEvent(self):
return self.recentfiles[0]
@ -2392,8 +2398,12 @@ class Event(object):
except:
pass
def get_notes(self):
def get_notes_path(self):
notesfile = os.path.join(self.path, 'notes.txt')
return notesfile
def get_notes(self):
notesfile = self.get_notes_path()
if os.path.isfile(notesfile):
with open(notesfile) as infile:
text = '[eventInfo: '+str(infile.readlines()[0].split('\n')[0])+']'
@ -2454,8 +2464,38 @@ class Event(object):
def getAutopicks(self):
return self.autopicks
def save(self, filename):
'''
Save PyLoT Event to a file.
Can be loaded by using event.load(filename).
'''
try:
import cPickle
except ImportError:
import _pickle as cPickle
try:
outfile = open(filename, 'wb')
cPickle.dump(self, outfile, -1)
except Exception as e:
print('Could not pickle PyLoT event. Reason: {}'.format(e))
@staticmethod
def load(filename):
'''
Load project from filename.
'''
try:
import cPickle
except ImportError:
import _pickle as cPickle
infile = open(filename, 'rb')
event = cPickle.load(infile)
print('Loaded %s' % filename)
return event
class getExistingDirectories(QFileDialog):
'''
File dialog with possibility to select multiple folders.

2
pylot/RELEASE-VERSION
View File

@ -1 +1 @@
053c-dirty
1b17-dirty

13
pylot/core/analysis/magnitude.py
View File

@ -17,10 +17,17 @@ from pylot.core.pick.utils import getsignalwin, crossings_nonzero_all, \
from pylot.core.util.utils import common_range, fit_curve
def richter_magnitude_scaling(delta):
relation = np.loadtxt(os.path.join(os.path.expanduser('~'),
'.pylot', 'richter_scaling.data'))
distance = np.array([0, 10, 20, 25, 30, 35,40, 45, 50, 60, 70, 75, 85, 90, 100, 110,
120, 130, 140, 150, 160, 170, 180, 190, 200, 210, 230, 240, 250,
260, 270, 280, 290, 300, 310, 320, 330, 340, 350, 360, 370, 380,
390, 400, 430, 470, 510, 560, 600, 700, 800, 900, 1000])
richter_scaling = np.array([1.4, 1.5, 1.7, 1.9, 2.1, 2.3, 2.4, 2.5, 2.6, 2.8, 2.8, 2.9,
2.9, 3.0, 3.1, 3.1, 3.2, 3.2, 3.3, 3.3, 3.4, 3.4, 3.5, 3.5,
3.6, 3.7, 3.7, 3.8, 3.8, 3.9, 3.9, 4.0, 4.0, 4.1, 4.2, 4.2,
4.2, 4.2, 4.3, 4.3, 4.3, 4.4, 4.4, 4.5, 4.6, 4.7, 4.8, 4.9,
5.1, 5.2, 5.4, 5.5, 5.7])
# prepare spline interpolation to calculate return value
func, params = fit_curve(relation[:, 0], relation[:, 1])
func, params = fit_curve(distance, richter_scaling)
return func(delta, params)

39
pylot/core/pick/picker.py
View File

@ -223,28 +223,29 @@ class AICPicker(AutoPicker):
# find maximum within slope determination window
# 'cause slope should be calculated up to first local minimum only!
imax = np.argmax(self.Data[0].data[islope])
if imax == 0:
print('AICPicker: Maximum for slope determination right at the beginning of the window!')
print('Choose longer slope determination window!')
if self.iplot > 1:
if not self.fig:
fig = plt.figure() #self.iplot) ### WHY? MP MP
else:
fig = self.fig
ax = fig.add_subplot(111)
x = self.Data[0].data
ax.plot(self.Tcf, x / max(x), 'k', legend='(HOS-/AR-) Data')
ax.plot(self.Tcf, aicsmooth / max(aicsmooth), 'r', legend='Smoothed AIC-CF')
ax.legend()
ax.set_xlabel('Time [s] since %s' % self.Data[0].stats.starttime)
ax.set_yticks([])
ax.set_title(self.Data[0].stats.station)
return
iislope = islope[0][0:imax]
if len(iislope) <= 3:
if len(iislope) <= 2:
# calculate slope from initial onset to maximum of AIC function
print("AICPicker: Not enough data samples left for slope calculation!")
print("Calculating slope from initial onset to maximum of AIC function ...")
imax = np.argmax(aicsmooth[islope])
if imax == 0:
print("AICPicker: Maximum for slope determination right at the beginning of the window!")
print("Choose longer slope determination window!")
if self.iplot > 1:
if not self.fig:
fig = plt.figure() #self.iplot) ### WHY? MP MP
else:
fig = self.fig
ax = fig.add_subplot(111)
x = self.Data[0].data
ax.plot(self.Tcf, x / max(x), 'k', legend='(HOS-/AR-) Data')
ax.plot(self.Tcf, aicsmooth / max(aicsmooth), 'r', legend='Smoothed AIC-CF')
ax.legend()
ax.set_xlabel('Time [s] since %s' % self.Data[0].stats.starttime)
ax.set_yticks([])
ax.set_title(self.Data[0].stats.station)
return
iislope = islope[0][0:imax]
dataslope = self.Data[0].data[iislope]
# calculate slope as polynomal fit of order 1

25
pylot/core/util/widgets.py
View File

@ -1610,7 +1610,6 @@ class TuneAutopicker(QWidget):
self.eventBox = self.parent.createEventBox()
self.eventBox.setMaxVisibleItems(20)
self.fill_eventbox()
self.eventBox.setCurrentIndex(0)
self.trace_layout.addWidget(self.eventBox)
def init_stationlist(self):
@ -1712,6 +1711,9 @@ class TuneAutopicker(QWidget):
return widget
def gen_pick_dlg(self):
if not self.get_current_event():
self.pickDlg = None
return
station = self.get_current_station()
data = self.data.getWFData()
pickDlg = PickDlg(self, data=data.select(station=station),
@ -1800,7 +1802,7 @@ class TuneAutopicker(QWidget):
id1 = self.figure_tabs.insertTab(1, self.overview, 'Overview')
id2 = self.figure_tabs.insertTab(2, self.p_tabs, 'P')
id3 = self.figure_tabs.insertTab(3, self.s_tabs, 'S')
if picked:
if picked and self.get_current_event():
self.fill_p_tabs(canvas_dict)
self.fill_s_tabs(canvas_dict)
self.toggle_autopickTabs(bool(self.fig_dict['mainFig'].axes))
@ -1839,7 +1841,23 @@ class TuneAutopicker(QWidget):
self.init_tab_names()
def fill_eventbox(self):
# update own list
self.parent.fill_eventbox(eventBox=self.eventBox, select_events='ref')
index_start = self.eventBox.currentIndex()
index = index_start
if index == -1:
index += 1
nevents = self.eventBox.model().rowCount()
if self.eventBox.itemData(index).isTestEvent():
for index in range(nevents):
if not self.eventBox.itemData(index).isTestEvent():
break
elif index == nevents - 1:
index = -1
self.eventBox.setCurrentIndex(index)
if not index == index_start:
self.eventBox.activated.emit(index)
# update parent
self.parent.fill_eventbox()
def update_eventID(self):
@ -1910,7 +1928,8 @@ class TuneAutopicker(QWidget):
def clear_all(self):
if hasattr(self, 'pickDlg'):
self.pickDlg.setParent(None)
if self.pickDlg:
self.pickDlg.setParent(None)
del(self.pickDlg)
if hasattr(self, 'overview'):
self.overview.setParent(None)