def __init__(self, parent=None, analyzer=None, backend=None):
super(XASMdiArea, self).__init__(parent)
if analyzer is None:
analyzer = XASClass.XASClass()
self.analyzer = analyzer
#self.setActivationOrder(qt.QMdiArea.CreationOrder)
self._windowDict = {}
self._windowList = ["Spectrum", "Post-edge", "Signal", "FT"]
self._windowList.reverse()
for title in self._windowList:
plot = PlotWindow(self, position=True, aspectRatio=False,
colormap=False, yInverted=False,
roi=False, mask=False, fit=False,
backend=backend)
toolbar = plot.getInteractiveModeToolBar()
toolbar.getZoomModeAction().setVisible(False)
toolbar.getPanModeAction().setVisible(False)
pluginsToolButton = PluginsToolButton(plot=plot)
plot.toolBar().addWidget(pluginsToolButton)
plot.setWindowTitle(title)
self.addSubWindow(plot)
self._windowDict[title] = plot
plot.setDataMargins(0, 0, 0.025, 0.025)
self._windowList.reverse()
self.setActivationOrder(qt.QMdiArea.StackingOrder)
self.tileSubWindows()
def __init__(self, parent=None, analyzer=None, color="blue", backend=None):
super(XASWindow, self).__init__(parent)
self.setWindowTitle("XAS Window")
if parent is not None:
# behave as a widget
self.setWindowFlags(qt.Qt.Widget)
if analyzer is None:
analyzer = XASClass.XASClass()
self.mdiArea = XASMdiArea(self, analyzer=analyzer, backend=backend)
self.setCentralWidget(self.mdiArea)
self.parametersDockWidget = qt.QDockWidget(self)
self.parametersDockWidget.layout().setContentsMargins(0, 0, 0, 0)
self.parametersWidget = XASParameters.XASParameters(color=color)
self.parametersDockWidget.setWidget(self.parametersWidget)
self.addDockWidget(qt.Qt.RightDockWidgetArea, self.parametersDockWidget)
# connect
self.parametersWidget.sigXASParametersSignal.connect(self._parametersSlot)
self.mdiArea.sigXASMdiAreaSignal.connect(self._update)
def __init__(self, parent=None, analyzer=None, backend=None):
super(XASMdiArea, self).__init__(parent)
if analyzer is None:
analyzer = XASClass.XASClass()
self.analyzer = analyzer
#self.setActivationOrder(qt.QMdiArea.CreationOrder)
self._windowDict = {}
self._windowList = ["Spectrum", "Post-edge", "Signal", "FT"]
self._windowList.reverse()
for title in self._windowList:
plot = PlotWindow.PlotWindow(self,
#control=True,
position=True,
backend=backend)
plot.setWindowTitle(title)
self.addSubWindow(plot)
self._windowDict[title] = plot
plot.setDataMargins(0, 0, 0.025, 0.025)
self._windowList.reverse()
self.setActivationOrder(qt.QMdiArea.StackingOrder)
self.tileSubWindows()
def __init__(self, analyzer=None):
if analyzer is None:
analyzer = XASClass.XASClass()
self._analyzer = analyzer
outputDict = {}
outputDict["names"] = ["Jump", "Edge"]
output = numpy.zeros((2, e0.shape[0], e0.shape[1]), dtype=e0.dtype)
output[0, :] = jump.value
output[1, :] = e0.value
outputDict["images"] = output
out.flush()
out.close()
t = time.time() - t0
_logger.debug("First fit elapsed = %f", t)
_logger.debug("Spectra per second = %f",
data.shape[0] * data.shape[1] / float(t))
t0 = time.time()
return outputDict
if __name__ == "__main__":
_logger.setLevel(logging.DEBUG)
analyzer = XASClass.XASClass()
instance = XASStackBatch(analyzer=analyzer)
configurationFile = "test.ini"
dataFile = h5py.File("testdata.h5", "r")
for entry in dataFile:
data = dataFile[entry]["data"]
energy = dataFile[entry]["energy"]
break
instance.setConfigurationFile(configurationFile)
instance.processMultipleSpectra(energy, data)
dataFile.close()
def _update(self, ddict):
jump = ddict["Jump"]
e0 = ddict["Edge"]
maximumKRange = XASClass.e2k(ddict["NormalizedEnergy"][-1] - e0)
self.parametersWidget.setJump(jump)
self.parametersWidget.setMaximumK(maximumKRange)
if __name__ == "__main__":
_logger.setLevel(logging.DEBUG)
app = qt.QApplication([])
from PyMca5.PyMcaIO import specfilewrapper as specfile
from PyMca5.PyMcaDataDir import PYMCA_DATA_DIR
if len(sys.argv) > 1:
fileName = sys.argv[1]
else:
fileName = os.path.join(PYMCA_DATA_DIR, "EXAFS_Ge.dat")
data = specfile.Specfile(fileName)[0].data()[-2:, :]
energy = data[0, :]
mu = data[1, :]
if 0:
w = XASWindow()
w.show()
w.setSpectrum(energy, mu)
w.update()
app.exec_()
else:
from PyMca5.PyMca import XASClass
ownAnalyzer = XASClass.XASClass()
configuration = ownAnalyzer.getConfiguration()
w = XASDialog()
w.setSpectrum(energy, mu)
w.setConfiguration(configuration)
print("SENT CONFIGURATION", configuration["Normalization"])
if w.exec_():
print("PARAMETERS = ", w.getConfiguration())
else:
print("PARAMETERS = ", configuration)
def _update(self, ddict):
jump = ddict["Jump"]
e0 = ddict["Edge"]
maximumKRange = XASClass.e2k(ddict["NormalizedEnergy"][-1] - e0)
self.parametersWidget.setJump(jump)
self.parametersWidget.setMaximumK(maximumKRange)