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#/*##########################################################################
# Copyright (C) 2004-2015 V.A. Sole, European Synchrotron Radiation Facility
#
# This file is part of the PyMca X-ray Fluorescence Toolkit developed at
# the ESRF by the Software group.
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in
# all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
# THE SOFTWARE.
#
#############################################################################*/
__author__ = "V.A. Sole - ESRF Data Analysis"
__contact__ = "sole@esrf.fr"
__license__ = "MIT"
__copyright__ = "European Synchrotron Radiation Facility, Grenoble, France"
import numpy
from PyMca5.PyMcaGui import PyMcaQt as qt
from PyMca5.PyMcaGui import PyMca_Icons
IconDict = PyMca_Icons.IconDict
from PyMca5.PyMcaGui import MaskImageWidget
from PyMca5.PyMcaGui import ScanWindow
from PyMca5.PyMcaMath.mva import PCAModule
from PyMca5.PyMcaGui import ScatterPlotCorrelatorWidget
if hasattr(qt, "QString"):
QString = qt.QString
else:
QString = str
MDP = PCAModule.MDP
MATPLOTLIB = MaskImageWidget.MATPLOTLIB
QTVERSION = MaskImageWidget.QTVERSION
class PCAParametersDialog(qt.QDialog):
def __init__(self, parent=None, options=[1, 2, 3, 4, 5, 10],
regions=False, index=-1):
qt.QDialog.__init__(self, parent)
self.setWindowTitle("PCA Configuration Dialog")
self.mainLayout = qt.QVBoxLayout(self)
self.mainLayout.setContentsMargins(11, 11, 11, 11)
self.mainLayout.setSpacing(0)
self.methodOptions = qt.QGroupBox(self)
self.methodOptions.setTitle('PCA Method to use')
self.methods = ['Covariance', 'Expectation Max.',
'Cov. Multiple Arrays']
self.functions = [PCAModule.numpyPCA,
PCAModule.expectationMaximizationPCA,
PCAModule.multipleArrayPCA]
self.methodOptions.mainLayout = qt.QGridLayout(self.methodOptions)
self.methodOptions.mainLayout.setContentsMargins(0, 0, 0, 0)
self.methodOptions.mainLayout.setSpacing(2)
#this does not seem to bring any advantage
if 0:
self.methods.append("Covariance Numpy")
self.functions.append(PCAModule.numpyPCA)
if MDP and (index != 0):
#self.methods.append("MDP (PCA + ICA)")
self.methods.append("MDP (SVD float32)")
self.methods.append("MDP (SVD float64)")
self.methods.append("MDP ICA (float32)")
self.methods.append("MDP ICA (float64)")
self.functions.append(PCAModule.mdpPCASVDFloat32)
self.functions.append(PCAModule.mdpPCASVDFloat64)
self.functions.append(PCAModule.mdpICAFloat32)
self.functions.append(PCAModule.mdpICAFloat64)
self.buttonGroup = qt.QButtonGroup(self.methodOptions)
i = 0
for item in self.methods:
rButton = qt.QRadioButton(self.methodOptions)
self.methodOptions.mainLayout.addWidget(rButton, 0, i)
#self.l.setAlignment(rButton, qt.Qt.AlignHCenter)
if i == 1:
rButton.setChecked(True)
rButton.setText(item)
self.buttonGroup.addButton(rButton)
self.buttonGroup.setId(rButton, i)
i += 1
self.buttonGroup.buttonPressed[int].connect(self._slot)
self.mainLayout.addWidget(self.methodOptions)
#built in speed options
self.speedOptions = qt.QGroupBox(self)
self.speedOptions.setTitle("Speed Options")
self.speedOptions.mainLayout = qt.QGridLayout(self.speedOptions)
self.speedOptions.mainLayout.setContentsMargins(0, 0, 0, 0)
self.speedOptions.mainLayout.setSpacing(2)
labelPC = qt.QLabel(self)
labelPC.setText("Number of PC:")
self.nPC = qt.QSpinBox(self.speedOptions)
self.nPC.setMinimum(0)
self.nPC.setValue(10)
self.nPC.setMaximum(40)
self.binningLabel = qt.QLabel(self.speedOptions)
self.binningLabel.setText("Spectral Binning:")
self.binningCombo = qt.QComboBox(self.speedOptions)
for option in options:
self.binningCombo.addItem("%d" % option)
self.speedOptions.mainLayout.addWidget(labelPC, 0, 0)
self.speedOptions.mainLayout.addWidget(self.nPC, 0, 1)
#self.speedOptions.mainLayout.addWidget(qt.HorizontalSpacer(self), 0, 2)
self.speedOptions.mainLayout.addWidget(self.binningLabel, 1, 0)
self.speedOptions.mainLayout.addWidget(self.binningCombo, 1, 1)
self.binningCombo.setEnabled(False)
self.binningCombo.activated[int].connect( \
self._updatePlotFromBinningCombo)
if regions:
self.__regions = True
self.__addRegionsWidget()
else:
self.__regions = False
#the optional plot
self.graph = None
#the OK button
hbox = qt.QWidget(self)
hboxLayout = qt.QHBoxLayout(hbox)
hboxLayout.setContentsMargins(0, 0, 0, 0)
hboxLayout.setSpacing(0)
self.okButton = qt.QPushButton(hbox)
self.okButton.setText("Accept")
self.okButton.setAutoDefault(False)
hboxLayout.addWidget(qt.HorizontalSpacer(hbox))
hboxLayout.addWidget(self.okButton)
hboxLayout.addWidget(qt.HorizontalSpacer(hbox))
self.mainLayout.addWidget(self.speedOptions)
if regions:
self.mainLayout.addWidget(self.regionsWidget)
self.mainLayout.addWidget(hbox)
if self.graph is not None:
self.mainLayout.addWidget(self.graph)
self.okButton.clicked.connect(self.accept)
def __addRegionsWidget(self):
#Region handling
self.regionsWidget = RegionsWidget(self)
self.regionsWidget.setEnabled(True)
self.regionsWidget.sigRegionsWidgetSignal.connect( \
self.regionsWidgetSlot)
#the plot
self.graph = ScanWindow.ScanWindow(self)
self.graph.setEnabled(False)
self.graph.sigPlotSignal.connect(self._graphSlot)
if not self.__regions:
#I am adding after instantiation
self.mainLayout.insertWidget(2,self.regionsWidget)
self.mainLayout.addWidget(self.graph)
self.__regions = True
def regionsWidgetSlot(self, ddict):
if ddict["nRegions"] > 0:
fromValue = ddict['from']
toValue = ddict['to']
self.graph.setEnabled(True)
self.graph.clearMarkers()
self.graph.insertXMarker(fromValue,
'From',
text='From',
color='blue',
draggable=True)
self.graph.insertXMarker(toValue,
'To',
text= 'To',
color='blue',
draggable=True)
self.graph.replot()
else:
self.graph.clearMarkers()
self.graph.setEnabled(False)
def _graphSlot(self, ddict):
if ddict['event'] == "markerMoved":
marker = ddict['label']
value = ddict['x']
signal = False
if marker == "From":
self.regionsWidget.fromLine.setText("%f" % value)
elif marker == "To":
self.regionsWidget.toLine.setText("%f" % value)
else:
signal = True
self.regionsWidget._editingSlot(signal=signal)
def _slot(self, index):
button = self.buttonGroup.button(index)
button.setChecked(True)
self.binningLabel.setText("Spectral Binning:")
if index != 2:
self.binningCombo.setEnabled(True)
else:
self.binningCombo.setEnabled(False)
if self.__regions:
if index != 2:
self.regionsWidget.setEnabled(True)
self.graph.setEnabled(True)
else:
self.regionsWidget.setEnabled(False)
self.graph.setEnabled(False)
return
def setSpectrum(self, x, y, legend=None, info=None):
if self.graph is None:
self.__addRegionsWidget()
if legend is None:
legend = "Current Active Spectrum"
if info is None:
info = {}
if not isinstance(x, numpy.ndarray):
x = numpy.array(x)
y = numpy.array(y)
self._x = x
self._y = y
self.regionsWidget.setLimits(x.min(), x.max())
self._legend = legend
self._info = info
self.updatePlot()
def getSpectrum(self, binned=False):
if binned:
return self._binnedX, self._binnedY, self._legend, self._info
else:
return self._x, self._y, self._legend, self._info
# value unused, but received with the Qt signal
def _updatePlotFromBinningCombo(self, value):
if self.graph is None:
return
self.updatePlot()
def updatePlot(self):
binning = int(self.binningCombo.currentText())
x = self._x * 1.0
y = self._y * 1.0
x.shape = 1, -1
y.shape = 1, -1
r, c = x.shape
x.shape = r, int(c / binning), binning
y.shape = r, int(c / binning), binning
x = x.sum(axis=-1, dtype=numpy.float32) / binning
y = y.sum(axis=-1, dtype=numpy.float32)
x.shape = -1
y.shape = -1
self._binnedX = x
self._binnedY = y
self.graph.addCurve(x, y, legend=self._legend, replace=True)
def setParameters(self, ddict):
if 'options' in ddict:
self.binningCombo.clear()
for option in ddict['options']:
self.binningCombo.addItem("%d" % option)
if 'binning' in ddict:
option = "%d" % ddict['binning']
for i in range(self.binningCombo.count()):
if str(self.binningCombo.itemText(i)) == option:
self.binningCombo.setCurrentIndex(i)
if 'npc' in ddict:
self.nPC.setValue(ddict['npc'])
if 'method' in ddict:
self.buttonGroup.buttons()[ddict['method']].setChecked(True)
if ddict['method'] != 2:
self.binningCombo.setEnabled(True)
else:
self.binningCombo.setEnabled(False)
if 'regions' in ddict:
self.regionsWidget.setRegions(regions)
return
def getParameters(self):
ddict = {}
ddict['binning'] = int(self.binningCombo.currentText())
ddict['npc'] = self.nPC.value()
i = self.buttonGroup.checkedId()
ddict['method'] = i
ddict['methodlabel'] = self.methods[i]
ddict['function'] = self.functions[i]
mask = None
if self.__regions:
regions = self.regionsWidget.getRegions()
if not len(regions):
mask = None
else:
mask = numpy.zeros(self._binnedX.shape, dtype=numpy.uint8)
for region in regions:
mask[(self._binnedX >= region[0]) *\
(self._binnedX <= region[1])] = 1
ddict['regions'] = regions
# try to simplify life to the caller but can be hard if
# spectral_binning has been applied because of the ambiguity
# about if the spectral_mask is to be applied before or after
# binning. The use of the 'regions' should be less prone to errors
ddict['spectral_mask'] = mask
else:
ddict['regions'] = []
ddict['spectral_mask'] = mask
return ddict
class RegionsWidget(qt.QGroupBox):
sigRegionsWidgetSignal = qt.pyqtSignal(object)
def __init__(self, parent=None, nregions=10, limits=[0.0, 1000.]):
qt.QGroupBox.__init__(self, parent)
self.setTitle('Spectral Regions')
self.mainLayout = qt.QGridLayout(self)
self.mainLayout.setContentsMargins(0, 0, 0, 0)
self.mainLayout.setSpacing(2)
if nregions % 2:
nregions += 1
self.nRegions = nregions
self.regionList = []
self.__limits = [limits[0], limits[1]]
# Nice hint -> What about:
# self.regionList.extend([[limits[0], limits[1]] * self.nRegions)
# instead of this loop with the useless i?
for i in range(self.nRegions):
self.regionList.append([limits[0], limits[1]])
self.nRegionsLabel = qt.QLabel(self)
self.nRegionsLabel.setText("Number of Regions:")
self.nRegionsSpinBox = qt.QSpinBox(self)
self.nRegionsSpinBox.setMinimum(0)
self.nRegionsSpinBox.setValue(0)
self.nRegionsSpinBox.setMaximum(self.nRegions)
self.mainLayout.addWidget(self.nRegionsLabel, 0, 0)
self.mainLayout.addWidget(self.nRegionsSpinBox, 0, 1)
self.nRegionsSpinBox.valueChanged[int].connect(self._regionsChanged)
self.currentRegionLabel = qt.QLabel(self)
self.currentRegionLabel.setText("Current Region:")
self.currentRegionSpinBox = qt.QSpinBox(self)
self.currentRegionSpinBox.setMinimum(1)
self.currentRegionSpinBox.setValue(1)
self.currentRegionSpinBox.setMaximum(1)
self.mainLayout.addWidget(self.currentRegionLabel, 0, 2)
self.mainLayout.addWidget(self.currentRegionSpinBox, 0, 3)
self.currentRegionSpinBox.valueChanged[int].connect(self._currentRegionChanged)
label = qt.QLabel(self)
label.setText("From:")
self.fromLine = qt.QLineEdit(self)
self.fromLine.setText("%f" % limits[0])
self.fromLine._v = qt.QDoubleValidator(self.fromLine)
self.fromLine.setValidator(self.fromLine._v)
self.mainLayout.addWidget(label, 0, 4)
self.mainLayout.addWidget(self.fromLine, 0, 5)
self.fromLine.editingFinished[()].connect(self._editingSlot)
label = qt.QLabel(self)
label.setText("To:")
self.toLine = qt.QLineEdit(self)
self.toLine.setText("%f" % limits[1])
self.toLine._v = qt.QDoubleValidator(self.toLine)
self.toLine.setValidator(self.toLine._v)
self.mainLayout.addWidget(label, 0, 6)
self.mainLayout.addWidget(self.toLine, 0, 7)
self.toLine.editingFinished[()].connect(self._editingSlot)
self._regionsChanged(0)
def setLimits(self, xmin, xmax):
for i in range(len(self.regionList)):
self.regionList[i][0] = max(self.regionList[i][0], xmin)
self.regionList[i][1] = min(self.regionList[i][1], xmax)
self.__limits = [xmin, xmax]
current = self.currentRegionSpinBox.value()
self._currentRegionChanged(current)
def _regionsChanged(self, value):
if value == 0:
self.toLine.setDisabled(True)
self.fromLine.setDisabled(True)
self.currentRegionSpinBox.setDisabled(True)
else:
current = self.currentRegionSpinBox.value()
self.currentRegionSpinBox.setMaximum(value)
self.toLine.setDisabled(False)
self.fromLine.setDisabled(False)
self.currentRegionSpinBox.setDisabled(False)
if current > value:
self.currentRegionSpinBox.setValue(value)
self._currentRegionChanged(value)
def _currentRegionChanged(self, value):
if value > 0:
fromValue, toValue = self.regionList[value - 1]
self.fromLine.setText("%f" % fromValue)
self.toLine.setText("%f" % toValue)
self.mySignal()
def _editingSlot(self, signal=True):
current = self.currentRegionSpinBox.value() - 1
self.regionList[current][0] = float(str(self.fromLine.text()))
self.regionList[current][1] = float(str(self.toLine.text()))
if self.regionList[current][0] < self.__limits[0]:
self.regionList[current][0] = self.__limits[0]
if self.regionList[current][1] > self.__limits[1]:
self.regionList[current][1] = self.__limits[1]
if signal:
self.mySignal()
def mySignal(self):
current = self.currentRegionSpinBox.value() - 1
ddict={}
ddict['event'] = 'regionChanged'
ddict['nRegions'] = self.nRegionsSpinBox.value()
ddict['current'] = current
if current >= 0:
ddict['from'] = self.regionList[current][0]
ddict['to'] = self.regionList[current][1]
self.sigRegionsWidgetSignal.emit(ddict)
def getRegions(self):
nRegions = self.nRegionsSpinBox.value()
regions = []
if nRegions > 0:
for i in range(nRegions):
regions.append(self.regionList[i])
return regions
def setRegions(self, regionList=None):
"""
:param regionList: List of couple of "from" and to "values"
:type param: List
"""
if regionList is None:
regionList = []
nRegions = len(regionList)
# the number of regions is small so, we can afford to loop
# instead of a direct copy
self.regionList = []
for i in range(nRegions):
fromValue, toValue = regionList[i]
self.regionList.append([fromValue, toValue])
self.currentRegionSpinBox.setValue(nRegions)
if nRegions > 0:
self._editingSlot(signal=False)
self._regionsChanged(self, nRegions)
class PCAWindow(MaskImageWidget.MaskImageWidget):
def __init__(self, *var, **kw):
ddict = {}
ddict['usetab'] = True
ddict.update(kw)
ddict['standalonesave'] = False
MaskImageWidget.MaskImageWidget.__init__(self, *var, **ddict)
self.slider = qt.QSlider(self)
self.slider.setOrientation(qt.Qt.Horizontal)
self.slider.setMinimum(0)
self.slider.setMaximum(0)
# The 1D graph
self.vectorGraph = ScanWindow.ScanWindow(self)
self.mainTab.addTab(self.vectorGraph, "VECTORS")
self.mainLayout.addWidget(self.slider)
self.slider.valueChanged[int].connect(self._showImage)
self.imageList = None
self.imageNames=None
self.eigenValues = None
self.eigenVectors = None
self.vectorNames = None
self.vectorGraphTitles = None
standalonesave = kw.get("standalonesave", True)
if standalonesave:
self.graphWidget.saveToolButton.clicked.connect( \
self._saveToolButtonSignal)
self._saveMenu = qt.QMenu()
self._saveMenu.addAction(QString("Image Data"),
self.saveImageList)
self._saveMenu.addAction(QString("Standard Graphics"),
self.graphWidget._saveIconSignal)
if MATPLOTLIB:
self._saveMenu.addAction(QString("Matplotlib") ,
self._saveMatplotlibImage)
self.multiplyIcon = qt.QIcon(qt.QPixmap(IconDict["swapsign"]))
infotext = "Multiply image by -1"
self.multiplyButton = self.graphWidget._addToolButton(\
self.multiplyIcon,
self._multiplyIconChecked,
infotext,
toggle=False,
position=12)
# The density plot widget
self.scatterPlotWidget = ScatterPlotCorrelatorWidget.ScatterPlotCorrelatorWidget(None,
labels=["Legend",
"X",
"Y"],
types=["Text",
"RadioButton",
"RadioButton"],
maxNRois=1)
self.__scatterPlotWidgetDataToUpdate = True
self.__maskToScatterConnected = True
self.sigMaskImageWidgetSignal.connect(self._internalSlot)
self.scatterPlotWidget.sigMaskScatterWidgetSignal.connect( \
self._internalSlot)
# add the command to show it to the menu
if hasattr(self, "_additionalSelectionMenu"):
self.additionalSelectionMenu().addAction(\
QString("Show scatter plot"),
self.showScatterPlot)
def sizeHint(self):
return qt.QSize(400, 400)
def _multiplyIconChecked(self):
if self.imageList is None:
return
index = self.slider.value()
self.imageList[index] *= -1
if self.eigenVectors is not None:
self.eigenVectors[index] *= -1
self._showImage(index)
self.__scatterPlotWidgetDataToUpdate = True
self._updateScatterPlotWidget()
def _showImage(self, index):
if self.eigenVectors is not None:
legend = self.vectorNames[index]
y = self.eigenVectors[index]
if self.vectorGraphTitles is not None:
self.vectorGraph.setGraphTitle(self.vectorGraphTitles[index])
self.vectorGraph.addCurve(range(len(y)), y, legend, replace=True)
if len(self.imageList):
self.showImage(index, moveslider=False)
def showImage(self, index=0, moveslider=True):
if self.imageList is None:
return
if len(self.imageList) == 0:
return
self.graphWidget.graph.setGraphTitle(self.imageNames[index])
self.setImageData(self.imageList[index])
if moveslider:
self.slider.setValue(index)
def setPCAData(self, images, eigenvalues=None, eigenvectors=None,
imagenames=None, vectornames=None):
self.eigenValues = eigenvalues
self.eigenVectors = eigenvectors
if type(images) == type([]):
self.imageList = images
elif len(images.shape) == 3:
nimages = images.shape[0]
self.imageList = [0] * nimages
for i in range(nimages):
self.imageList[i] = images[i, :]
if self.imageList[i].max() < 0:
self.imageList[i] *= -1
if self.eigenVectors is not None:
self.eigenVectors[i] *= -1
if imagenames is None:
self.imageNames = []
for i in range(nimages):
self.imageNames.append("Eigenimage %02d" % i)
else:
self.imageNames = imagenames
if self.imageList is not None:
self.slider.setMaximum(len(self.imageList) - 1)
self.showImage(0)
else:
self.slider.setMaximum(0)
if self.eigenVectors is not None:
if vectornames is None:
self.vectorNames = []
for i in range(nimages):
self.vectorNames.append("Component %02d" % i)
else:
self.vectorNames = vectornames
legend = self.vectorNames[0]
y = self.eigenVectors[0]
self.vectorGraph.newCurve(range(len(y)), y, legend, replace=True)
self.slider.setValue(0)
self.__scatterPlotWidgetDataToUpdate = True
self._updateScatterPlotWidget()
def _updateScatterPlotWidget(self):
w = self.scatterPlotWidget
if self.__scatterPlotWidgetDataToUpdate:
for i in range(len(self.imageNames)):
w.addSelectableItem(self.imageList[i], self.imageNames[i])
self.__scatterPlotWidgetDataToUpdate = False
w.setPolygonSelectionMode()
w.setSelectionMask(self.getSelectionMask())
def _internalSlot(self, ddict):
if ddict["id"] == id(self):
# signal generated by this instance
# only the the scatter plot to be updated unless hidden
if self.scatterPlotWidget.isHidden():
return
if ddict["event"] in ["selectionMaskChanged",
"resetSelection",
"invertSelection"]:
mask = self.getSelectionMask()
if mask is None:
mask = numpy.zeros(self.imageList[0].shape, numpy.uint8)
self.scatterPlotWidget.setSelectionMask(mask)
elif ddict["id"] == id(self.scatterPlotWidget):
# signal generated by the scatter plot
if ddict["event"] in ["selectionMaskChanged",
"resetSelection",
"invertSelection"]:
mask = self.scatterPlotWidget.getSelectionMask()
super(PCAWindow, self).setSelectionMask(mask, plot=True)
ddict["id"] = id(self)
try:
self.__maskToScatterConnected = False
self.sigMaskImageWidgetSignal.emit(ddict)
finally:
self.__maskToScatterConnected = True
def setSelectionMask(self, *var, **kw):
super(PCAWindow, self).setSelectionMask(*var, **kw)
if not self.scatterPlotWidget.isHidden():
self._updateScatterPlotWidget()
def saveImageList(self, filename=None, imagelist=None, labels=None):
if self.imageList is None:
return
labels = []
for i in range(len(self.imageList)):
labels.append(self.imageNames[i].replace(" ", "_"))
return MaskImageWidget.MaskImageWidget.saveImageList(self,
imagelist=self.imageList,
labels=labels)
def setImageList(self, imagelist):
self.imageList = imagelist
self.eigenValues = None
self.eigenVectors = None
if imagelist is not None:
self.slider.setMaximum(len(self.imageList) - 1)
self.showImage(0)
def showScatterPlot(self):
if self.scatterPlotWidget.isHidden():
# it needs update
self._updateScatterPlotWidget()
self.scatterPlotWidget.show()
# make sure it is visible
self.scatterPlotWidget.raise_()
def test2():
app = qt.QApplication([])
app.lastWindowClosed.connect(app.quit)
dialog = PCAParametersDialog()
dialog.setParameters({'options': [1,3,5,7,9], 'method': 1, 'npc': 8,
'binning': 3})
dialog.setModal(True)
ret = dialog.exec_()
if ret:
dialog.close()
print(dialog.getParameters())
def test():
app = qt.QApplication([])
app.lastWindowClosed.connect(app.quit)
container = PCAWindow()
data = numpy.arange(20000)
data.shape = 2, 100, 100
data[1, 0:100, 0:50] = 100
container.setPCAData(data, eigenvectors=[numpy.arange(100.),
numpy.arange(100.) + 10],
imagenames=["I1", "I2"], vectornames=["V1", "V2"])
container.show()
def theSlot(ddict):
print(ddict['event'])
container.sigMaskImageWidgetSignal.connect(theSlot)
app.exec_()
if __name__ == "__main__":
test()
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