def __init__(self, parent, context, windowName):
# def __init__(self, parent, context):
QtGui.QWidget.__init__(self)
self.parent = parent
self.context = context
self.windowName = windowName
self.parameterWindows = {}
self.datasetCheckboxes = {}
self.datasetAnalysisCheckboxes = {}
self.datasetCheckboxCounter = 0
self.datasetCheckboxPositionDict = {}
self.datasetAnalysisCheckboxCounter = 0
self.manuallyLoaded = True
self.setWindowTitle(self.windowName)
# create a vertical box layout widget
grapherLayout = QtGui.QVBoxLayout()
# instantiate our Matplotlib canvas widget
self.qmc = Qt4MplCanvas(self)
# instantiate the navigation toolbar
ntb = NavigationToolbar(self.qmc, self)
# Layout that involves the canvas, toolbar, graph options...etc.
grapherLayout.addWidget(ntb)
grapherLayout.addWidget(self.qmc)
# Main horizontal layout
mainLayout = QtGui.QHBoxLayout()
# Layout that controls datasets
datasetLayout = QtGui.QVBoxLayout()
mainLayout.addLayout(datasetLayout)
mainLayout.addLayout(grapherLayout)
# Layout for keeping track of datasets on a graph and analysis
self.datasetCheckboxListWidget = DatasetCheckBoxListWidget(self)#QtGui.QListWidget()
self.datasetCheckboxListWidget.setMaximumWidth(180)
self.datasetCheckboxListWidget.setHorizontalScrollBarPolicy(QtCore.Qt.ScrollBarAsNeeded)
datasetLayout.addWidget(self.datasetCheckboxListWidget)
self.analysisWidget = AnalysisWidget(self)
datasetLayout.addWidget(self.analysisWidget)
self.setLayout(mainLayout)
# checkbox to change boundaries
self.cb1 = QtGui.QCheckBox('AutoScroll', self)
#self.cb1.move(290, 23)
self.cb1.clicked.connect(self.autoscrollSignal)
# checkbox to overlay new dataset
self.cb2 = QtGui.QCheckBox('Overlay', self)
#self.cb2.move(500, 35)
# checkbox to toggle AutoFit
self.cb3 = QtGui.QCheckBox('AutoFit', self)
#self.cb3.move(290, 39)
# self.cb3.toggle()
self.cb3.clicked.connect(self.autofitSignal)
# button to fit data on screen
fitButton = QtGui.QPushButton("Fit", self)
fitButton.setGeometry(QtCore.QRect(0, 0, 30, 30))
fitButton.clicked.connect(self.fitDataSignal)
windowNameButton = QtGui.QPushButton("Change Window Name", self)
windowNameButton.setGeometry(QtCore.QRect(0, 0, 30, 30))
windowNameButton.clicked.connect(self.changeWindowName)
# Layout that controls graph options
buttonBox = QtGui.QHBoxLayout()
buttonBox.addWidget(self.cb1)
buttonBox.addWidget(self.cb3)
buttonBox.addWidget(self.cb2)
buttonBox.addWidget(fitButton)
buttonBox.addWidget(windowNameButton)
grapherLayout.addLayout(buttonBox)
def __init__(self, parent, context, windowName):
# def __init__(self, parent, context):
QtGui.QWidget.__init__(self)
self.parent = parent
self.context = context
self.windowName = windowName
self.parameterWindows = {}
self.datasetCheckboxes = {}
self.datasetAnalysisCheckboxes = {}
self.datasetCheckboxCounter = 0
self.datasetCheckboxPositionDict = {}
self.datasetAnalysisCheckboxCounter = 0
self.manuallyLoaded = True
self.setWindowTitle(self.windowName)
# create a vertical box layout widget
grapherLayout = QtGui.QVBoxLayout()
# instantiate our Matplotlib canvas widget
self.qmc = Qt4MplCanvas(self)
# instantiate the navigation toolbar
ntb = NavigationToolbar(self.qmc, self)
# Layout that involves the canvas, toolbar, graph options...etc.
grapherLayout.addWidget(ntb)
grapherLayout.addWidget(self.qmc)
# Main horizontal layout
mainLayout = QtGui.QHBoxLayout()
# Layout that controls datasets
datasetLayout = QtGui.QVBoxLayout()
mainLayout.addLayout(datasetLayout)
mainLayout.addLayout(grapherLayout)
# Layout for keeping track of datasets on a graph and analysis
self.datasetCheckboxListWidget = QtGui.QListWidget()
self.datasetCheckboxListWidget.setMaximumWidth(180)
self.datasetCheckboxListWidget.setHorizontalScrollBarPolicy(QtCore.Qt.ScrollBarAsNeeded)
datasetLayout.addWidget(self.datasetCheckboxListWidget)
self.analysisWidget = AnalysisWidget(self)
datasetLayout.addWidget(self.analysisWidget)
self.setLayout(mainLayout)
# checkbox to change boundaries
self.cb1 = QtGui.QCheckBox('AutoScroll', self)
#self.cb1.move(290, 23)
self.cb1.clicked.connect(self.autoscrollSignal)
# checkbox to overlay new dataset
self.cb2 = QtGui.QCheckBox('Overlay', self)
#self.cb2.move(500, 35)
# checkbox to toggle AutoFit
self.cb3 = QtGui.QCheckBox('AutoFit', self)
#self.cb3.move(290, 39)
# self.cb3.toggle()
self.cb3.clicked.connect(self.autofitSignal)
# button to fit data on screen
fitButton = QtGui.QPushButton("Fit", self)
fitButton.setGeometry(QtCore.QRect(0, 0, 30, 30))
fitButton.clicked.connect(self.fitDataSignal)
windowNameButton = QtGui.QPushButton("Change Window Name", self)
windowNameButton.setGeometry(QtCore.QRect(0, 0, 30, 30))
windowNameButton.clicked.connect(self.changeWindowName)
# Layout that controls graph options
buttonBox = QtGui.QHBoxLayout()
buttonBox.addWidget(self.cb1)
buttonBox.addWidget(self.cb3)
buttonBox.addWidget(self.cb2)
buttonBox.addWidget(fitButton)
buttonBox.addWidget(windowNameButton)
grapherLayout.addLayout(buttonBox)
class GrapherWindow(QtGui.QWidget):
"""Creates the window for the new plot"""
def __init__(self, parent, context, windowName):
# def __init__(self, parent, context):
QtGui.QWidget.__init__(self)
self.parent = parent
self.context = context
self.windowName = windowName
self.parameterWindows = {}
self.datasetCheckboxes = {}
self.datasetAnalysisCheckboxes = {}
self.datasetCheckboxCounter = 0
self.datasetCheckboxPositionDict = {}
self.datasetAnalysisCheckboxCounter = 0
self.manuallyLoaded = True
self.setWindowTitle(self.windowName)
# create a vertical box layout widget
grapherLayout = QtGui.QVBoxLayout()
# instantiate our Matplotlib canvas widget
self.qmc = Qt4MplCanvas(self)
# instantiate the navigation toolbar
ntb = NavigationToolbar(self.qmc, self)
# Layout that involves the canvas, toolbar, graph options...etc.
grapherLayout.addWidget(ntb)
grapherLayout.addWidget(self.qmc)
# Main horizontal layout
mainLayout = QtGui.QHBoxLayout()
# Layout that controls datasets
datasetLayout = QtGui.QVBoxLayout()
mainLayout.addLayout(datasetLayout)
mainLayout.addLayout(grapherLayout)
# Layout for keeping track of datasets on a graph and analysis
self.datasetCheckboxListWidget = DatasetCheckBoxListWidget(self)#QtGui.QListWidget()
self.datasetCheckboxListWidget.setMaximumWidth(180)
self.datasetCheckboxListWidget.setHorizontalScrollBarPolicy(QtCore.Qt.ScrollBarAsNeeded)
datasetLayout.addWidget(self.datasetCheckboxListWidget)
self.analysisWidget = AnalysisWidget(self)
datasetLayout.addWidget(self.analysisWidget)
self.setLayout(mainLayout)
# checkbox to change boundaries
self.cb1 = QtGui.QCheckBox('AutoScroll', self)
#self.cb1.move(290, 23)
self.cb1.clicked.connect(self.autoscrollSignal)
# checkbox to overlay new dataset
self.cb2 = QtGui.QCheckBox('Overlay', self)
#self.cb2.move(500, 35)
# checkbox to toggle AutoFit
self.cb3 = QtGui.QCheckBox('AutoFit', self)
#self.cb3.move(290, 39)
# self.cb3.toggle()
self.cb3.clicked.connect(self.autofitSignal)
# button to fit data on screen
fitButton = QtGui.QPushButton("Fit", self)
fitButton.setGeometry(QtCore.QRect(0, 0, 30, 30))
fitButton.clicked.connect(self.fitDataSignal)
windowNameButton = QtGui.QPushButton("Change Window Name", self)
windowNameButton.setGeometry(QtCore.QRect(0, 0, 30, 30))
windowNameButton.clicked.connect(self.changeWindowName)
# Layout that controls graph options
buttonBox = QtGui.QHBoxLayout()
buttonBox.addWidget(self.cb1)
buttonBox.addWidget(self.cb3)
buttonBox.addWidget(self.cb2)
buttonBox.addWidget(fitButton)
buttonBox.addWidget(windowNameButton)
grapherLayout.addLayout(buttonBox)
# adds a checkbox when a new dataset is overlaid on the graph
def createDatasetCheckbox(self, dataset, directory, label, index):
datasetCheckbox = QtGui.QCheckBox(str(dataset) + ' - ' + str(directory[-1]) + ' - ' + label, self)
# datasetCheckbox = QtGui.QCheckBox(str(dataset) + ' - ' + label, self)
datasetCheckbox.toggle()
datasetCheckbox.clicked.connect(self.datasetCheckboxSignal)
try:
#This if statement should fail if no model exists.
if (self.datasetCheckboxes[dataset, directory, index] != None):
# if the checkbox does exist, then just reassign it.
self.datasetCheckboxes[dataset, directory, index] = datasetCheckbox
self.datasetCheckboxListWidget.setItemWidget(self.datasetCheckboxListWidget.item(self.datasetCheckboxPositionDict[dataset, directory, index]), datasetCheckbox)
except:
self.datasetCheckboxes[dataset, directory, index] = datasetCheckbox
# The trick here is to create an item with enough text to activate the scrollbar, and then hide the text.
# This must be done because a checkbox, even with a lot of text, does not activate the scroll bar horizontally
item = QtGui.QListWidgetItem()
item.setText(' ' + str(dataset) + ' - ' + str(directory[-1]) + ' - ' + label)
item.setTextColor(QtGui.QColor(255, 255, 255))
self.datasetCheckboxListWidget.addItem(item)
self.datasetCheckboxListWidget.setItemWidget(self.datasetCheckboxListWidget.item(self.datasetCheckboxCounter), datasetCheckbox)
self.datasetCheckboxPositionDict[dataset, directory, index] = self.datasetCheckboxCounter
self.datasetCheckboxCounter = self.datasetCheckboxCounter + 1
# adds a checkbox when a new dataset is overlaid on the graph
def createDatasetAnalysisCheckbox(self, dataset, directory, label, index):
# datasetAnalysisCheckbox = QtGui.QCheckBox(str(dataset) + ' ' + str(directory[-1]) + ' ' + label, self)
datasetAnalysisCheckbox = QtGui.QCheckBox(str(dataset) + ' - ' + str(directory[-1]) + ' - ' + label, self)
self.datasetAnalysisCheckboxes[dataset, directory, index] = datasetAnalysisCheckbox
# The trick here is to create an item with enough text to activate the scrollbar, and then hide the text.
# This must be done because a checkbox, even with a lot of text, does not activate the scroll bar horizontally
item = QtGui.QListWidgetItem()
item.setText(' ' + str(dataset) + ' - ' + str(directory[-1]) + ' - ' + label)
item.setTextColor(QtGui.QColor(255, 255, 255))
#self.analysisWidget.datasetCheckboxListWidget.addItem(str(dataset) + ' - ' + label)
self.analysisWidget.datasetCheckboxListWidget.addItem(item)
self.analysisWidget.datasetCheckboxListWidget.setItemWidget(self.analysisWidget.datasetCheckboxListWidget.item(self.datasetAnalysisCheckboxCounter), datasetAnalysisCheckbox)
self.datasetAnalysisCheckboxCounter = self.datasetAnalysisCheckboxCounter + 1
def fitFromScript(self, dataset, directory, numberDependentVariables, scriptParameters, fitOverride = None):
datasetsToFit = eval(scriptParameters[0])
curveToFit = scriptParameters[1]
curveParameters = eval(scriptParameters[2])
# if no selection of datasets, fit all of them
if (len(datasetsToFit) == 0):
datasetsToFit = range(numberDependentVariables)
else:
# naming convention. Dataset 1, for purposes is this program, has an index of 0, not 1. Ex: datasetsToFit = [1, 2, 3] -> [0, 1, 2]
for i in range(len(datasetsToFit)):
datasetsToFit[i] = datasetsToFit[i] - 1
# cycle through all the dataset checkboxes and uncheck them.
for checkBoxDataset, checkBoxDirectory, checkBoxIndex in self.datasetAnalysisCheckboxes.keys():
if self.datasetAnalysisCheckboxes[checkBoxDataset, checkBoxDirectory, checkBoxIndex].isChecked():
self.datasetAnalysisCheckboxes[checkBoxDataset, checkBoxDirectory, checkBoxIndex].toggle()
# toggle the datasets we care about
for datasetToFit in datasetsToFit:
for checkBoxDataset, checkBoxDirectory, checkBoxIndex in self.datasetAnalysisCheckboxes.keys():
if (dataset == checkBoxDataset and directory == checkBoxDirectory and datasetToFit == checkBoxIndex):
self.datasetAnalysisCheckboxes[dataset, directory, datasetToFit].toggle()
# cycle through the curves checkboxes and uncheck them.
for curve in self.analysisWidget.analysisCheckboxes.keys():
if self.analysisWidget.analysisCheckboxes[curve].isChecked():
self.analysisWidget.analysisCheckboxes[curve].toggle()
# toggle the curve we care about
for curve in self.analysisWidget.analysisCheckboxes.keys():
if (curve == curveToFit):
self.analysisWidget.analysisCheckboxes[curveToFit].toggle()
# everything is now set up to fit, so call fitCurves and pass in the parameters
if (fitOverride == None):
self.qmc.fitData()
self.analysisWidget.fitCurves(curveParameters)
def datasetCheckboxSignal(self):
self.qmc.drawLegend()
self.qmc.draw()
# when the autoFit button is checked, it will uncheck the autoscroll button
def autofitSignal(self):
if (self.cb1.isChecked()):
self.cb1.toggle()
# when the autoscroll button is checked, it will uncheck the autoFit button
def autoscrollSignal(self):
if (self.cb3.isChecked()):
self.cb3.toggle()
# instructs the graph to update the boundaries to fit all the data
def fitDataSignal(self):
if (self.cb1.isChecked()): # makes sure autoscroll is off otherwise it will undo this operation
self.cb1.toggle()
elif (self.cb3.isChecked()): # makes sure autoFit is off otherwise it will undo this operation
self.cb3.toggle()
self.qmc.fitData()
def changeWindowName(self):
text, ok = QtGui.QInputDialog.getText(self, 'Change Window Name', 'Enter a name:')
if ok:
text = str(text)
self.parent.changeWindowName(self.windowName, text)
self.setWindowTitle(text)
self.windowName = text
def newParameterWindow(self, dataset, directory):
win = ParameterWindow(self, dataset, directory)
win.show()
self.parameterWindows[dataset, directory] = win
def getParameters(self, dataset, directory):
parameters = self.parent.getParameters(dataset, directory)
return parameters
def fileQuit(self):
self.close()
def closeEvent(self, event):
self.qmc.endTimer()
if (self.cb2.isChecked()):
# "uncheck" the overlay checkbox
self.cb2.toggle()
# Remove this window from the dictionary so that no datasets...
# ... are drawn to this window
self.parent.removeWindowFromDictionary(self)
self.parent.removeWindowFromWinDict(self.windowName)
# self.parent.removeWindowFromWinList(self)
self.parent.cleanUp()
self.fileQuit()
class GrapherWindow(QtGui.QWidget):
"""Creates the window for the new plot"""
def __init__(self, parent, context, windowName):
# def __init__(self, parent, context):
QtGui.QWidget.__init__(self)
self.parent = parent
self.context = context
self.windowName = windowName
self.parameterWindows = {}
self.datasetCheckboxes = {}
self.datasetAnalysisCheckboxes = {}
self.datasetCheckboxCounter = 0
self.datasetCheckboxPositionDict = {}
self.datasetAnalysisCheckboxCounter = 0
self.manuallyLoaded = True
self.setWindowTitle(self.windowName)
# create a vertical box layout widget
grapherLayout = QtGui.QVBoxLayout()
# instantiate our Matplotlib canvas widget
self.qmc = Qt4MplCanvas(self)
# instantiate the navigation toolbar
ntb = NavigationToolbar(self.qmc, self)
# Layout that involves the canvas, toolbar, graph options...etc.
grapherLayout.addWidget(ntb)
grapherLayout.addWidget(self.qmc)
# Main horizontal layout
mainLayout = QtGui.QHBoxLayout()
# Layout that controls datasets
datasetLayout = QtGui.QVBoxLayout()
mainLayout.addLayout(datasetLayout)
mainLayout.addLayout(grapherLayout)
# Layout for keeping track of datasets on a graph and analysis
self.datasetCheckboxListWidget = QtGui.QListWidget()
self.datasetCheckboxListWidget.setMaximumWidth(180)
self.datasetCheckboxListWidget.setHorizontalScrollBarPolicy(QtCore.Qt.ScrollBarAsNeeded)
datasetLayout.addWidget(self.datasetCheckboxListWidget)
self.analysisWidget = AnalysisWidget(self)
datasetLayout.addWidget(self.analysisWidget)
self.setLayout(mainLayout)
# checkbox to change boundaries
self.cb1 = QtGui.QCheckBox('AutoScroll', self)
#self.cb1.move(290, 23)
self.cb1.clicked.connect(self.autoscrollSignal)
# checkbox to overlay new dataset
self.cb2 = QtGui.QCheckBox('Overlay', self)
#self.cb2.move(500, 35)
# checkbox to toggle AutoFit
self.cb3 = QtGui.QCheckBox('AutoFit', self)
#self.cb3.move(290, 39)
# self.cb3.toggle()
self.cb3.clicked.connect(self.autofitSignal)
# button to fit data on screen
fitButton = QtGui.QPushButton("Fit", self)
fitButton.setGeometry(QtCore.QRect(0, 0, 30, 30))
fitButton.clicked.connect(self.fitDataSignal)
windowNameButton = QtGui.QPushButton("Change Window Name", self)
windowNameButton.setGeometry(QtCore.QRect(0, 0, 30, 30))
windowNameButton.clicked.connect(self.changeWindowName)
# Layout that controls graph options
buttonBox = QtGui.QHBoxLayout()
buttonBox.addWidget(self.cb1)
buttonBox.addWidget(self.cb3)
buttonBox.addWidget(self.cb2)
buttonBox.addWidget(fitButton)
buttonBox.addWidget(windowNameButton)
grapherLayout.addLayout(buttonBox)
# adds a checkbox when a new dataset is overlaid on the graph
def createDatasetCheckbox(self, dataset, directory):
datasetCheckbox = QtGui.QCheckBox(str(dataset) + ' - ' + str(directory[-1]), self)
# datasetCheckbox = QtGui.QCheckBox(str(dataset) + ' - ' + label, self)
datasetCheckbox.toggle()
datasetCheckbox.clicked.connect(self.datasetCheckboxSignal)
try:
#This if statement should fail if no model exists.
if (self.datasetCheckboxes[dataset, directory] != None):
# if the checkbox does exist, then just reassign it.
self.datasetCheckboxes[dataset, directory] = datasetCheckbox
self.datasetCheckboxListWidget.setItemWidget(self.datasetCheckboxListWidget.item(self.datasetCheckboxPositionDict[dataset, directory]), datasetCheckbox)
except:
self.datasetCheckboxes[dataset, directory] = datasetCheckbox
# The trick here is to create an item with enough text to activate the scrollbar, and then hide the text.
# This must be done because a checkbox, even with a lot of text, does not activate the scroll bar horizontally
item = QtGui.QListWidgetItem()
item.setText(' ' + str(dataset) + ' - ' + str(directory[-1]))
item.setTextColor(QtGui.QColor(255, 255, 255))
self.datasetCheckboxListWidget.addItem(item)
# self.datasetCheckboxListWidget.addItem(str(dataset) + ' ' + str(directory[-1]))
self.datasetCheckboxListWidget.setItemWidget(self.datasetCheckboxListWidget.item(self.datasetCheckboxCounter), datasetCheckbox)
self.datasetCheckboxPositionDict[dataset, directory] = self.datasetCheckboxCounter
self.datasetCheckboxCounter = self.datasetCheckboxCounter + 1
# adds a checkbox when a new dataset is overlaid on the graph
def createDatasetAnalysisCheckbox(self, dataset, directory, label, index):
# datasetAnalysisCheckbox = QtGui.QCheckBox(str(dataset) + ' ' + str(directory[-1]) + ' ' + label, self)
datasetAnalysisCheckbox = QtGui.QCheckBox(str(dataset) + ' - ' + str(directory[-1]) + ' - ' + label, self)
self.datasetAnalysisCheckboxes[dataset, directory, index] = datasetAnalysisCheckbox
# The trick here is to create an item with enough text to activate the scrollbar, and then hide the text.
# This must be done because a checkbox, even with a lot of text, does not activate the scroll bar horizontally
item = QtGui.QListWidgetItem()
item.setText(' ' + str(dataset) + ' - ' + str(directory[-1]) + ' - ' + label)
item.setTextColor(QtGui.QColor(255, 255, 255))
#self.analysisWidget.datasetCheckboxListWidget.addItem(str(dataset) + ' - ' + label)
self.analysisWidget.datasetCheckboxListWidget.addItem(item)
self.analysisWidget.datasetCheckboxListWidget.setItemWidget(self.analysisWidget.datasetCheckboxListWidget.item(self.datasetAnalysisCheckboxCounter), datasetAnalysisCheckbox)
self.datasetAnalysisCheckboxCounter = self.datasetAnalysisCheckboxCounter + 1
def fitFromScript(self, dataset, directory, numberDependentVariables, scriptParameters):
datasetsToFit = eval(scriptParameters[0])
curveToFit = scriptParameters[1]
curveParameters = eval(scriptParameters[2])
# if no selection of datasets, fit all of them
if (len(datasetsToFit) == 0):
datasetsToFit = range(numberDependentVariables)
else:
# naming convention. Dataset 1, for purposes is this program, has an index of 0, not 1. Ex: datasetsToFit = [1, 2, 3] -> [0, 1, 2]
for i in range(len(datasetsToFit)):
datasetsToFit[i] = datasetsToFit[i] - 1
# cycle through all the dataset checkboxes and uncheck them.
for checkBoxDataset, checkBoxDirectory, checkBoxIndex in self.datasetAnalysisCheckboxes.keys():
if self.datasetAnalysisCheckboxes[checkBoxDataset, checkBoxDirectory, checkBoxIndex].isChecked():
self.datasetAnalysisCheckboxes[checkBoxDataset, checkBoxDirectory, checkBoxIndex].toggle()
# toggle the datasets we care about
for datasetToFit in datasetsToFit:
print 'datasetToFit: ', datasetToFit
for checkBoxDataset, checkBoxDirectory, checkBoxIndex in self.datasetAnalysisCheckboxes.keys():
if (dataset == checkBoxDataset and directory == checkBoxDirectory and datasetToFit == checkBoxIndex):
self.datasetAnalysisCheckboxes[dataset, directory, datasetToFit].toggle()
# cycle through the curves checkboxes and uncheck them.
for curve in self.analysisWidget.analysisCheckboxes.keys():
if self.analysisWidget.analysisCheckboxes[curve].isChecked():
self.analysisWidget.analysisCheckboxes[curve].toggle()
# toggle the curve we care about
for curve in self.analysisWidget.analysisCheckboxes.keys():
if (curve == curveToFit):
self.analysisWidget.analysisCheckboxes[curveToFit].toggle()
# everything is now set up to fit, so call fitCurves and pass in the parameters
self.analysisWidget.fitCurves(curveParameters)
def datasetCheckboxSignal(self):
self.qmc.drawLegend()
self.qmc.draw()
# when the autoFit button is checked, it will uncheck the autoscroll button
def autofitSignal(self):
if (self.cb1.isChecked()):
self.cb1.toggle()
# when the autoscroll button is checked, it will uncheck the autoFit button
def autoscrollSignal(self):
if (self.cb3.isChecked()):
self.cb3.toggle()
# instructs the graph to update the boundaries to fit all the data
def fitDataSignal(self):
if (self.cb1.isChecked()): # makes sure autoscroll is off otherwise it will undo this operation
self.cb1.toggle()
elif (self.cb3.isChecked()): # makes sure autoFit is off otherwise it will undo this operation
self.cb3.toggle()
self.qmc.fitData()
def changeWindowName(self):
text, ok = QtGui.QInputDialog.getText(self, 'Change Window Name', 'Enter a name:')
if ok:
text = str(text)
self.parent.changeWindowName(self.windowName, text)
self.setWindowTitle(text)
self.windowName = text
def newParameterWindow(self, dataset, directory):
win = ParameterWindow(self, dataset, directory)
win.show()
self.parameterWindows[dataset, directory] = win
def getParameters(self, dataset, directory):
parameters = self.parent.getParameters(dataset, directory)
return parameters
def fileQuit(self):
self.close()
def closeEvent(self, event):
self.qmc.endTimer()
if (self.cb2.isChecked()):
# "uncheck" the overlay checkbox
self.cb2.toggle()
# Remove this window from the dictionary so that no datasets...
# ... are drawn to this window
self.parent.removeWindowFromDictionary(self)
self.parent.removeWindowFromWinDict(self.windowName)
# self.parent.removeWindowFromWinList(self)
self.parent.cleanUp()
self.fileQuit()
