forked from HaeffnerLab/RealSimpleGrapher
/
FitWindowWidget.py
189 lines (155 loc) · 6.23 KB
/
FitWindowWidget.py
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from PyQt4 import QtGui, QtCore
from twisted.internet.defer import inlineCallbacks, returnValue, DeferredLock, Deferred
from analysis.fitting import FitWrapper
class RowInfo():
'''
Container for the widgets with
each row in the parameters table
'''
def __init__(self, vary, manual_value, fitted_value):
self.vary_select = vary
self.manual_value = manual_value
self.fitted_value = fitted_value
class FitWindow(QtGui.QWidget):
def __init__(self, dataset, index, parent):
super(FitWindow, self).__init__()
self.dataset = dataset
self.index = index
self.parent = parent
self.fw = FitWrapper(dataset, index)
self.row_info_dict = {}
self.ident = 'Fit: ' + str(self.dataset.dataset_name)
self.initUI()
def initUI(self):
self.setWindowTitle(self.ident)
mainLayout = QtGui.QVBoxLayout()
buttons = QtGui.QHBoxLayout()
self.model_select = QtGui.QComboBox(self)
for model in self.fw.models:
self.model_select.addItem(model)
self.parameterTable = QtGui.QTableWidget()
self.parameterTable.setColumnCount(4)
self.fitButton = QtGui.QPushButton('Fit', self)
self.plotButton = QtGui.QPushButton('Plot manual', self)
self.fw.setModel(str(self.model_select.currentText()))
mainLayout.addWidget(self.model_select)
mainLayout.addWidget(self.parameterTable)
mainLayout.addLayout(buttons)
buttons.addWidget(self.fitButton)
buttons.addWidget(self.plotButton)
self.model_select.activated.connect(self.onActivated)
self.fitButton.clicked.connect(self.onClick)
self.plotButton.clicked.connect(self.onPlot)
self.setupParameterTable()
self.setLayout(mainLayout)
self.show()
def setupParameterTable(self):
self.parameterTable.clear()
headerLabels = QtCore.QStringList(['Vary', 'Param', 'Manual', 'Fitted'])
self.parameterTable.setHorizontalHeaderLabels(headerLabels)
self.parameterTable.horizontalHeader().setStretchLastSection(True)
params = self.fw.getParameters()
self.parameterTable.setRowCount(len(params))
for i,p in enumerate(params):
vary_select = QtGui.QTableWidgetItem()
label = QtGui.QLabel(p)
manual_value = QtGui.QDoubleSpinBox()
fitted_value = QtGui.QTableWidgetItem()
self.row_info_dict[p] = RowInfo(vary_select, manual_value, fitted_value)
vary_select.setFlags(QtCore.Qt.ItemIsUserCheckable|QtCore.Qt.ItemIsEnabled)
if self.fw.getVary(p):
vary_select.setCheckState(QtCore.Qt.Checked)
else:
vary_select.setCheckState(QtCore.Qt.Unchecked)
manualValue = self.fw.getManualValue(p)
manual_value.setDecimals(6)
manual_value.setRange(-1000000000, 1000000000)
manual_value.setValue(manualValue)
fittedValue = self.fw.getFittedValue(p)
#fitted_value.setDecimals(6)
#fitted_value.setRange(-1000000000, 1000000000)
fitted_value.setText(str(fittedValue))
self.parameterTable.setItem(i, 0, vary_select)
self.parameterTable.setCellWidget(i, 1, label)
self.parameterTable.setCellWidget(i, 2, manual_value)
self.parameterTable.setItem(i, 3, fitted_value)
def updateParametersToFitter(self):
params = self.fw.getParameters()
for p in params:
row = self.row_info_dict[p]
vary = row.vary_select.checkState()
manual_value = row.manual_value.value()
if vary:
self.fw.setVary(p, True)
else:
self.fw.setVary(p, False)
self.fw.setManualValue(p, manual_value)
def updateParametersFromFitter(self):
'''
Set the fitted and manual parameters
fields to the fit values
'''
params = self.fw.getParameters()
for p in params:
row = self.row_info_dict[p]
fitted_value = self.fw.getFittedValue(p)
row.fitted_value.setText( str(fitted_value) )
row.manual_value.setValue( fitted_value )
def plotFit(self):
'''
Plot the fitted parameters.
We need to wrap the data in a dataset
object to use add_artist in GraphWidget
'''
class dataset():
def __init__(self, data):
self.data = data
self.updateCounter = 1
data = self.fw.evaluateFittedParameters()
ds = dataset(data)
try:
# remove the previous fit
self.parent.parent.remove_artist(self.ident)
self.parent.parent.add_artist(self.ident, ds, 0, no_points = True)
except:
self.parent.parent.add_artist(self.ident, ds, 0, no_points = True)
def onActivated(self):
'''
Run when model is changed.
Reset row_info_dict each
time the model is changed.
'''
model = str(self.model_select.currentText())
self.fw.setModel(model)
self.row_info_dict = {}
self.setupParameterTable()
def onClick(self):
'''
Send table parameters to fitter,
perform fit, and then update
paramter table with the results
'''
self.updateParametersToFitter()
self.fw.doFit()
self.updateParametersFromFitter()
self.plotFit()
def onPlot(self):
'''
Plot the manual parameters. See documentation
for plotFit()
'''
class dataset():
def __init__(self, data):
self.data = data
self.updateCounter = 1
self.updateParametersToFitter()
data = self.fw.evaluateManualParameters()
ds = dataset(data)
try:
# remove the previous plot
self.parent.parent.remove_artist(self.ident)
self.parent.parent.add_artist(self.ident, ds, 0, no_points = True)
except:
self.parent.parent.add_artist(self.ident, ds, 0, no_points = True)
def closeEvent(self, event):
self.parent.parent.remove_artist(self.ident)