marcel/pylot
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[new] histogram plot added; debugging in progress

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This commit is contained in:
Sebastian Wehling-Benatelli 2016-06-10 14:37:33 +02:00
parent 280f8544e4
commit 467f0ae79b
2 changed files with 68 additions and 36 deletions
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12
pylot/core/pick/compare.py
View File

@ -140,6 +140,18 @@ class Comparison(object):
plt.show()
def get_array(self, phase, method):
pdf_dict = self.comparison
exp_array = list()
for station, phases in pdf_dict.items():
try:
exp_array.append(phases[phase].expectation())
except KeyError as e:
print('{err_msg}; station = {station}, phase = {phase}'.format(
err_msg=str(e), station=station, phase=phase))
continue
return exp_array
def get_expectation_array(self, phase):
pdf_dict = self.comparison
exp_array = list()

92
pylot/core/util/widgets.py
View File

@ -17,11 +17,11 @@ except ImportError:
from matplotlib.backends.backend_qt4agg import FigureCanvasQTAgg as FigureCanvas
from matplotlib.backends.backend_qt4agg import NavigationToolbar2QT
from matplotlib.widgets import MultiCursor
from PySide.QtGui import QAction, QApplication, QComboBox, QDateTimeEdit, \
QDialog, QDialogButtonBox, QDoubleSpinBox, QGroupBox, QGridLayout, \
QIcon, QKeySequence, QLabel, QLineEdit, QMessageBox, QPixmap, QSpinBox, \
QTabWidget, QToolBar, QVBoxLayout, QWidget, QPushButton, QFileDialog, \
QInputDialog
from PySide.QtGui import QAction, QApplication, QCheckBox, QComboBox, \
QDateTimeEdit, QDialog, QDialogButtonBox, QDoubleSpinBox, QGroupBox, \
QGridLayout, QIcon, QKeySequence, QLabel, QLineEdit, QMessageBox, \
QPixmap, QSpinBox, QTabWidget, QToolBar, QVBoxLayout, QWidget, \
QPushButton, QFileDialog, QInputDialog
from PySide.QtCore import QSettings, Qt, QUrl, Signal, Slot
from PySide.QtWebKit import QWebView
from obspy import Stream, UTCDateTime
@ -71,7 +71,8 @@ class ComparisonDialog(QDialog):
self._stats = c.stations
self._canvas = PlotWidget(self)
self._widgets = dict(stationsComboBox=None,
phasesComboBox=None)
phasesComboBox=None,
histCheckBox=None)
self._phases = 'PS'
self._plotprops = dict(station=self.stations[0], phase=self.phases[0])
super(ComparisonDialog, self).__init__(parent)
@ -97,9 +98,15 @@ class ComparisonDialog(QDialog):
_phases_combobox.currentIndexChanged.connect(self.prepareplot)
self.widgets = _phases_combobox
_hist_checkbox = QCheckBox('Show histograms', self)
_hist_checkbox.setObjectName('histCheckBox')
_hist_checkbox.stateChanged.connect(self.plothist)
self.widgets = _hist_checkbox
_toolbar = QToolBar(self)
_toolbar.addWidget(_stats_combobox)
_toolbar.addWidget(_phases_combobox)
_toolbar.addWidget(_hist_checkbox)
_buttonbox = QDialogButtonBox(QDialogButtonBox.Close)
@ -170,7 +177,7 @@ class ComparisonDialog(QDialog):
@widgets.setter
def widgets(self, widget):
name = widget.objectName
name = widget.objectName()
if name in self.widgets.keys():
self._widgets[name] = widget
@ -218,37 +225,50 @@ class ComparisonDialog(QDialog):
self.canvas.draw()
def plothist(self):
self.canvas = PlotWidget(self)
_axPstd, _axPexp = self.canvas.figure.add_subplot(221), self.canvas.figure.add_subplot(223)
_axSstd, _axSexp = self.canvas.figure.add_subplot(222), self.canvas.figure.add_subplot(224)
axes_dict = dict(P=dict(std=_axPstd, exp=_axPexp),
S=dict(std=_axSstd, exp=_axSexp))
bbox_props = dict(boxstyle='round', facecolor='lightgrey', alpha=.7)
for phase in self.phases:
std = self.data.get_std_array(phase)
stdxlims = [0., 1.2 * max(std)]
exp = self.data.get_expectation_array(phase)
eps_exp = 0.05 * (max(exp) - min(exp))
expxlims = [min(exp) - eps_exp, max(exp) + eps_exp]
axes_dict[phase][std].hist(std, range=stdxlims, bins=20, normed=False)
axes_dict[phase][exp].hist(std, range=expxlims, bins=20, normed=False)
std_annotation = "Distribution curve for {phase} differences'\n" \
"standard deviations (all stations)\n" \
"number of samples: {nsamples}".format(phase=phase, nsamples=len(std))
_anno_std = axes_dict[phase][std].annotate(std_annotation, xy=(.05, .8), xycoords='axes fraction')
_anno_std.set_bbox(bbox_props)
exp_annotation = "Distribution curve for {phase} differences'\n" \
"expectations (all stations)\n" \
"number of samples: {nsamples}".format(phase=phase, nsamples=len(exp))
_anno_exp = axes_dict[phase][exp].annotate(exp_annotation, xy=(.05, .8), xycoords='axes fraction')
_anno_exp.set_bbox(bbox_props)
axes_dict[phase]['exp'].set_xlabel('expectation [s]')
axes_dict[phase]['std'].set_xlabel('standard deviation [s]')
name = self.sender().objectName()
if self.widgets[name].isChecked():
for wname, widget in self.widgets.items():
if wname != name:
self.widgets[wname].setEnabled(False)
self.canvas.figure.clf()
_axPstd, _axPexp = self.canvas.figure.add_subplot(221), self.canvas.figure.add_subplot(223)
_axSstd, _axSexp = self.canvas.figure.add_subplot(222), self.canvas.figure.add_subplot(224)
axes_dict = dict(P=dict(std=_axPstd, exp=_axPexp),
S=dict(std=_axSstd, exp=_axSexp))
bbox_props = dict(boxstyle='round', facecolor='lightgrey', alpha=.7)
for phase in self.phases:
std = self.data.get_std_array(phase)
stdxlims = [0., 1.2 * max(std)]
exp = self.data.get_expectation_array(phase)
eps_exp = 0.05 * (max(exp) - min(exp))
expxlims = [min(exp) - eps_exp, max(exp) + eps_exp]
axes_dict[phase]['std'].hist(std, range=stdxlims, bins=20, normed=False)
axes_dict[phase]['exp'].hist(exp, range=expxlims, bins=20,
normed=False)
std_annotation = "Distribution curve for {phase} differences'\n" \
"standard deviations (all stations)\n" \
"number of samples: {nsamples}".format(phase=phase, nsamples=len(std))
_anno_std = axes_dict[phase]['std'].annotate(std_annotation, xy=(.05, .8), xycoords='axes fraction')
_anno_std.set_bbox(bbox_props)
exp_annotation = "Distribution curve for {phase} differences'\n" \
"expectations (all stations)\n" \
"number of samples: {nsamples}".format(phase=phase, nsamples=len(exp))
_anno_exp = axes_dict[phase]['exp'].annotate(exp_annotation, xy=(.05, .8), xycoords='axes fraction')
_anno_exp.set_bbox(bbox_props)
axes_dict[phase]['exp'].set_xlabel('expectation [s]')
axes_dict[phase]['std'].set_xlabel('standard deviation [s]')
for ax in axes_dict['P'].values():
ax.set_ylabel('frequency [-]')
for ax in axes_dict['P'].values():
ax.set_ylabel('frequency [-]')
self.canvas.draw()
else:
for wname, widget in self.widgets.items():
if wname != name:
self.widgets[wname].setEnabled(True)
self.canvas.figure.clf()
self.plotcomparison()
self.canvas.draw()
class PlotWidget(FigureCanvas):
def __init__(self, parent=None, xlabel='x', ylabel='y', title='Title'):