def __init__(self, parent=None):
QtGui.QMainWindow.__init__(self,parent)
self.ui = Ui_MainWindow()
self.ui.setupUi(self)
QtCore.QObject.connect( self.ui.calcButton, QtCore.SIGNAL("clicked()"), self.calculate )
QtCore.QObject.connect( self.ui.Plot, QtCore.SIGNAL("clicked()"), self.plotData )
QtCore.QObject.connect( self.ui.OverPlot, QtCore.SIGNAL("clicked()"), self.addPlot)
QtCore.QObject.connect( self.ui.ClearFlux, QtCore.SIGNAL("clicked()"), self.clearFluxAndRes)
QtCore.QObject.connect(self.ui.actionLET,QtCore.SIGNAL("triggered()"), self.letSelected)
QtCore.QObject.connect(self.ui.actionMARI,QtCore.SIGNAL("triggered()"), lambda : self.otherInstrumentSelected('MAR'))
QtCore.QObject.connect(self.ui.actionMERLIN,QtCore.SIGNAL("triggered()"),lambda : self.otherInstrumentSelected('MER'))
QtCore.QObject.connect(self.ui.actionMAPS,QtCore.SIGNAL("triggered()"), lambda : self.otherInstrumentSelected('MAP'))
self.graph=None;
self.loadData()
tab_name = "Fllux And Resolution Table"
self.t= newTable(tab_name, 28, 3) #table in which are insered each time the value for the plot
#self.t.setColName(1, "Frequency")
#self.t.setColName(2, "Flux")
#self.t.setColName(3, "Resolution")
for j in xrange(0,len(self.frequencies)):
self.t.setCell(1, j+1, self.frequencies[j])
def __init__(self, parent=None):
QtGui.QMainWindow.__init__(self, parent)
self.ui = Ui_MainWindow()
self.ui.setupUi(self)
QtCore.QObject.connect(self.ui.calcButton, QtCore.SIGNAL("clicked()"),
self.calculate)
QtCore.QObject.connect(self.ui.Plot, QtCore.SIGNAL("clicked()"),
self.plotData)
QtCore.QObject.connect(self.ui.OverPlot, QtCore.SIGNAL("clicked()"),
self.addPlot)
QtCore.QObject.connect(self.ui.ClearFlux, QtCore.SIGNAL("clicked()"),
self.clearFluxAndRes)
QtCore.QObject.connect(self.ui.actionLET, QtCore.SIGNAL("triggered()"),
self.letSelected)
QtCore.QObject.connect(self.ui.actionMARI,
QtCore.SIGNAL("triggered()"),
lambda: self.otherInstrumentSelected('MAR'))
QtCore.QObject.connect(self.ui.actionMERLIN,
QtCore.SIGNAL("triggered()"),
lambda: self.otherInstrumentSelected('MER'))
QtCore.QObject.connect(self.ui.actionMAPS,
QtCore.SIGNAL("triggered()"),
lambda: self.otherInstrumentSelected('MAP'))
self.graph = None
self.loadData()
tab_name = "Fllux And Resolution Table"
self.t = newTable(
tab_name, 28,
3) #table in which are insered each time the value for the plot
#self.t.setColName(1, "Frequency")
#self.t.setColName(2, "Flux")
#self.t.setColName(3, "Resolution")
for j in xrange(0, len(self.frequencies)):
self.t.setCell(1, j + 1, self.frequencies[j])
class MainWindow(QtGui.QMainWindow):
def __init__(self, parent=None):
QtGui.QMainWindow.__init__(self,parent)
self.ui = Ui_MainWindow()
self.ui.setupUi(self)
QtCore.QObject.connect( self.ui.calcButton, QtCore.SIGNAL("clicked()"), self.calculate )
QtCore.QObject.connect( self.ui.Plot, QtCore.SIGNAL("clicked()"), self.plotData )
QtCore.QObject.connect( self.ui.OverPlot, QtCore.SIGNAL("clicked()"), self.addPlot)
QtCore.QObject.connect( self.ui.ClearFlux, QtCore.SIGNAL("clicked()"), self.clearFluxAndRes)
QtCore.QObject.connect(self.ui.actionLET,QtCore.SIGNAL("triggered()"), self.letSelected)
QtCore.QObject.connect(self.ui.actionMARI,QtCore.SIGNAL("triggered()"), lambda : self.otherInstrumentSelected('MAR'))
QtCore.QObject.connect(self.ui.actionMERLIN,QtCore.SIGNAL("triggered()"),lambda : self.otherInstrumentSelected('MER'))
QtCore.QObject.connect(self.ui.actionMAPS,QtCore.SIGNAL("triggered()"), lambda : self.otherInstrumentSelected('MAP'))
self.graph=None;
self.loadData()
tab_name = "Fllux And Resolution Table"
self.t= newTable(tab_name, 28, 3) #table in which are insered each time the value for the plot
#self.t.setColName(1, "Frequency")
#self.t.setColName(2, "Flux")
#self.t.setColName(3, "Resolution")
for j in xrange(0,len(self.frequencies)):
self.t.setCell(1, j+1, self.frequencies[j])
def loadData(self):
""" Loads and preprocess all data used for interpolation
"""
self.flux_matrix = np.multiply(self.loadMatrix("PyChop/small_matrix(flux).txt"),0.021)
# *0.021 -- this gives n/cm^2/s. 0.021= (40/60)*0.5*(1/16)
#40/60 is the fact that simulation is for 60uamps and not 40uamps beam power.
#(1/16) accounts for neutron on a 4x4cm vanadium sample i.e. 16cm^2.
#0.5 accounts for the factor of 2 difference between simulation and experimental
self.flux_energies = array.array( 'f', [0.1, 0.2, 0.5, 0.8, 1.0, 1.5, 2.0, 2.5, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 13.0, 13.1, 14.0, 15.0, 16.0, 17.0, 18.0, 19.0, 20.0, 21.0, 22.0, 23.0, 24.0, 25.0, 26.0, 27.0, 28.0, 29.0, 30.0, 31.0, 32.0, 35.0, 38.0, 40.0] )
self.res_matrix = self.loadMatrix("PyChop/small_matrix(res).txt")
self.res_energies = array.array( 'f', [0.2, 0.4, 0.6, 0.8, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40] )
self.frequencies = np.arange(30,310,10)
self.ei="";
self.ei_min = 0.2 # max(min(self.flux_energies),min(self.res_energies))
self.ei_max = 40. #min(max(self.flux_energies),max(self.res_energies))
def loadMatrix(self,fileName):
""" Opens specified ASCII file in proper format and loads it into a matrix.
The interpolation is based on these data
return the Numpy matrix read from the fileName provided
"""
thisDir= config.getString('mantidqt.python_interfaces_directory')
input_file = open(thisDir + fileName, 'r')
input_lines = []
data_matrix = []
#fix the data formata
def convert_mantid_string(mantid_str):
mantid_str = mantid_str.replace('.', '')
mantid_str = mantid_str.replace(',', '.')
return mantid_str
for line in iter(input_file.readline, ''):
input_lines.append(convert_mantid_string(line))
for line in input_lines:
matrix_row = []
line_elems = line.split()
for n in line_elems:
matrix_row.append(float(n))
data_matrix.append(matrix_row)
return data_matrix #python matrix.
def interpolate_data(self,data_matrix,energies):
""" interpolation based on the small matrices matrix_data
"""
#create the correct form for the array z values
#the values of energy are related to the values on which the interpolation has been made.
r = len(data_matrix)
c = len(self.frequencies)
data_matrix = np.reshape(data_matrix, (r, c))
val_flux = np.transpose(data_matrix)
self.ei = self.ui.incidentEnergyValue.text()
self.ei= float(self.ei)
ei = [self.ei]
#linear interpolation
self.interpolation = interpolate.RectBivariateSpline(self.frequencies, energies, val_flux,kx=1, ky=1) #spline interpolation over the values of energy given.
result = self.interpolation(self.frequencies, ei)#returns the value for the specific energy required ei.
return result
def letSelected(self):
QtGui.QMessageBox.warning(self, "Currently You have to switch gui to select another instrument")
self.ui.actionLET.setChecked(True)
def otherInstrumentSelected(self,INAME):
reply = QtGui.QMessageBox.question(self, 'Selecting : '+INAME,
"Do you want to switch GUI?", QtGui.QMessageBox.Yes, QtGui.QMessageBox.No)
if reply == QtGui.QMessageBox.Yes:
config['default.instrument'] = INAME
self.deleteLater()
else:
pass
#QtGui.QMessageBox.setText(self,'Currently You have to switch GUI to have other instrument selected')
def calculate(self):
"""returns the results of interpolation and prints them in the window.
"""
self.ei = self.ui.incidentEnergyValue.text()
if self.ei == "":
QtGui.QMessageBox.warning(self, "LETFlux", "No Ei entered. Please,insert energy value in the range from "+str(self.ei_min)+" to "+str(self.ei_max)+" meV \n")
return self
else:
self.ei = float (self.ei)
if self.ei< self.ei_min or self.ei > self.ei_max:
self.ei="";
QtGui.QMessageBox.warning(self, "LETFlux", "Energy out of range.\n Please, Provide value between "+str(self.ei_min)+" and "+str(self.ei_max)+" meV \n")
else:
self.setUpTable()
#self.ui.list.clear()
string = 'Energy selected:' +' '+ str(self.ei)
self.ui.list.insertItem(0,string)
string_title = 'Frequency(Hz) Flux(n/s/cm^2) Resolution[ueV]'
self.ui.list.insertItem(1,string_title)
t=self.t;
for i in xrange(0, len(self.frequencies)):
string1 = str(self.frequencies[i])+' '+ "%e" % t.cell(2,i+1)+' '+ "%e"% t.cell(3,i+1)
self.ui.list.insertItem(2+i,string1)
return self
def clearFluxAndRes(self):
""" Clear flux and resolution text printed in flux and resolution window
"""
self.ui.list.clear()
def setUpTable(self):
flux = self.interpolate_data(self.flux_matrix,self.flux_energies)
res = self.interpolate_data(self.res_matrix,self.res_energies)
for i in range(0, len(flux)):
self.t.setCell(2, i+1, flux[i])
self.t.setCell(3, i+1, res[i])
return self
def plotData(self):
""" Plot flux and resoulution in the new window
"""
if self.ei=="" :
return self
self.graph = newGraph("Flux and Resolution",2,1,2)
l1 = self.graph.layer(1);
l1.setAntialiasing()
l1.setTitle("Flux")
l1.setAxisTitle(Layer.Bottom, "Frequency [Hz]")
l1.setAxisTitle(Layer.Left, "Flux [n/s/cm^2]")
l1.showGrid()
# self.graphFlux.insertCurve(self.t, "Flux/Frequency_2", Layer.Scatter)
# legend = self.graphFlux.newLegend(str(self.ei))
l2 = self.graph.layer(2);
l2.setAntialiasing()
l2.setTitle("Resolution")
l2.setAxisTitle(Layer.Bottom, "Frequency [Hz]")
l2.setAxisTitle(Layer.Left, "Resolution [ueV]")
# legend = self.graphRes.newLegend(str(self.ei))
# self.graphRes.insertCurve(self.t, "Resolution/Frequency_2", Layer.Scatter)
l2.showGrid()
self.addPlot();
self.raise_();
self.show()
return self
def addPlot(self):
""" Adds plot to an existing graph
"""
if self.graph==None:
self.plotData();
else:
self.calculate()
if self.ei == "":
return
try:
l1 = self.graph.layer(1) # <- this is activeLayer()
except AttributeError:
QtGui.QMessageBox.warning(self, "LETFlux", "Plot has been deleted, Can not overplot. Plot graph first\n")
return
l1.addCurves(self.t, (1,2), Layer.Line, 1, 4)
# l1.newLegend(str(self.ei))
l2 = self.graph.layer(2) # <- this is activeLayer()
l2.addCurves(self.t, (1,3), Layer.Line, 1, 4)
return
class MainWindow(QtGui.QMainWindow):
def __init__(self, parent=None):
QtGui.QMainWindow.__init__(self, parent)
self.ui = Ui_MainWindow()
self.ui.setupUi(self)
QtCore.QObject.connect(self.ui.calcButton, QtCore.SIGNAL("clicked()"),
self.calculate)
QtCore.QObject.connect(self.ui.Plot, QtCore.SIGNAL("clicked()"),
self.plotData)
QtCore.QObject.connect(self.ui.OverPlot, QtCore.SIGNAL("clicked()"),
self.addPlot)
QtCore.QObject.connect(self.ui.ClearFlux, QtCore.SIGNAL("clicked()"),
self.clearFluxAndRes)
QtCore.QObject.connect(self.ui.actionLET, QtCore.SIGNAL("triggered()"),
self.letSelected)
QtCore.QObject.connect(self.ui.actionMARI,
QtCore.SIGNAL("triggered()"),
lambda: self.otherInstrumentSelected('MAR'))
QtCore.QObject.connect(self.ui.actionMERLIN,
QtCore.SIGNAL("triggered()"),
lambda: self.otherInstrumentSelected('MER'))
QtCore.QObject.connect(self.ui.actionMAPS,
QtCore.SIGNAL("triggered()"),
lambda: self.otherInstrumentSelected('MAP'))
self.graph = None
self.loadData()
tab_name = "Fllux And Resolution Table"
self.t = newTable(
tab_name, 28,
3) #table in which are insered each time the value for the plot
#self.t.setColName(1, "Frequency")
#self.t.setColName(2, "Flux")
#self.t.setColName(3, "Resolution")
for j in xrange(0, len(self.frequencies)):
self.t.setCell(1, j + 1, self.frequencies[j])
def loadData(self):
""" Loads and preprocess all data used for interpolation
"""
self.flux_matrix = np.multiply(
self.loadMatrix("PyChop/small_matrix(flux).txt"), 0.021)
# *0.021 -- this gives n/cm^2/s. 0.021= (40/60)*0.5*(1/16)
#40/60 is the fact that simulation is for 60uamps and not 40uamps beam power.
#(1/16) accounts for neutron on a 4x4cm vanadium sample i.e. 16cm^2.
#0.5 accounts for the factor of 2 difference between simulation and experimental
self.flux_energies = array.array('f', [
0.1, 0.2, 0.5, 0.8, 1.0, 1.5, 2.0, 2.5, 3.0, 4.0, 5.0, 6.0, 7.0,
8.0, 9.0, 10.0, 11.0, 13.0, 13.1, 14.0, 15.0, 16.0, 17.0, 18.0,
19.0, 20.0, 21.0, 22.0, 23.0, 24.0, 25.0, 26.0, 27.0, 28.0, 29.0,
30.0, 31.0, 32.0, 35.0, 38.0, 40.0
])
self.res_matrix = self.loadMatrix("PyChop/small_matrix(res).txt")
self.res_energies = array.array('f', [
0.2, 0.4, 0.6, 0.8, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14,
15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31,
32, 33, 34, 35, 36, 37, 38, 39, 40
])
self.frequencies = np.arange(30, 310, 10)
self.ei = ""
self.ei_min = 0.2 # max(min(self.flux_energies),min(self.res_energies))
self.ei_max = 40. #min(max(self.flux_energies),max(self.res_energies))
def loadMatrix(self, fileName):
""" Opens specified ASCII file in proper format and loads it into a matrix.
The interpolation is based on these data
return the Numpy matrix read from the fileName provided
"""
thisDir = config.getString('mantidqt.python_interfaces_directory')
input_file = open(thisDir + fileName, 'r')
input_lines = []
data_matrix = []
#fix the data formata
def convert_mantid_string(mantid_str):
mantid_str = mantid_str.replace('.', '')
mantid_str = mantid_str.replace(',', '.')
return mantid_str
for line in iter(input_file.readline, ''):
input_lines.append(convert_mantid_string(line))
for line in input_lines:
matrix_row = []
line_elems = line.split()
for n in line_elems:
matrix_row.append(float(n))
data_matrix.append(matrix_row)
return data_matrix #python matrix.
def interpolate_data(self, data_matrix, energies):
""" interpolation based on the small matrices matrix_data
"""
#create the correct form for the array z values
#the values of energy are related to the values on which the interpolation has been made.
r = len(data_matrix)
c = len(self.frequencies)
data_matrix = np.reshape(data_matrix, (r, c))
val_flux = np.transpose(data_matrix)
self.ei = self.ui.incidentEnergyValue.text()
self.ei = float(self.ei)
ei = [self.ei]
#linear interpolation
self.interpolation = interpolate.RectBivariateSpline(
self.frequencies, energies, val_flux, kx=1,
ky=1) #spline interpolation over the values of energy given.
result = self.interpolation(
self.frequencies,
ei) #returns the value for the specific energy required ei.
return result
def letSelected(self):
QtGui.QMessageBox.warning(
self,
"Currently You have to switch gui to select another instrument")
self.ui.actionLET.setChecked(True)
def otherInstrumentSelected(self, INAME):
reply = QtGui.QMessageBox.question(self, 'Selecting : ' + INAME,
"Do you want to switch GUI?",
QtGui.QMessageBox.Yes,
QtGui.QMessageBox.No)
if reply == QtGui.QMessageBox.Yes:
config['default.instrument'] = INAME
self.deleteLater()
else:
pass
#QtGui.QMessageBox.setText(self,'Currently You have to switch GUI to have other instrument selected')
def calculate(self):
"""returns the results of interpolation and prints them in the window.
"""
self.ei = self.ui.incidentEnergyValue.text()
if self.ei == "":
QtGui.QMessageBox.warning(
self, "LETFlux",
"No Ei entered. Please,insert energy value in the range from "
+ str(self.ei_min) + " to " + str(self.ei_max) + " meV \n")
return self
else:
self.ei = float(self.ei)
if self.ei < self.ei_min or self.ei > self.ei_max:
self.ei = ""
QtGui.QMessageBox.warning(
self, "LETFlux",
"Energy out of range.\n Please, Provide value between " +
str(self.ei_min) + " and " + str(self.ei_max) + " meV \n")
else:
self.setUpTable()
#self.ui.list.clear()
string = 'Energy selected:' + ' ' + str(self.ei)
self.ui.list.insertItem(0, string)
string_title = 'Frequency(Hz) Flux(n/s/cm^2) Resolution[ueV]'
self.ui.list.insertItem(1, string_title)
t = self.t
for i in xrange(0, len(self.frequencies)):
string1 = str(
self.
frequencies[i]) + ' ' + "%e" % t.cell(
2, i + 1) + ' ' + "%e" % t.cell(3, i + 1)
self.ui.list.insertItem(2 + i, string1)
return self
def clearFluxAndRes(self):
""" Clear flux and resolution text printed in flux and resolution window
"""
self.ui.list.clear()
def setUpTable(self):
flux = self.interpolate_data(self.flux_matrix, self.flux_energies)
res = self.interpolate_data(self.res_matrix, self.res_energies)
for i in range(0, len(flux)):
self.t.setCell(2, i + 1, flux[i])
self.t.setCell(3, i + 1, res[i])
return self
def plotData(self):
""" Plot flux and resoulution in the new window
"""
if self.ei == "":
return self
self.graph = newGraph("Flux and Resolution", 2, 1, 2)
l1 = self.graph.layer(1)
l1.setAntialiasing()
l1.setTitle("Flux")
l1.setAxisTitle(Layer.Bottom, "Frequency [Hz]")
l1.setAxisTitle(Layer.Left, "Flux [n/s/cm^2]")
l1.showGrid()
# self.graphFlux.insertCurve(self.t, "Flux/Frequency_2", Layer.Scatter)
# legend = self.graphFlux.newLegend(str(self.ei))
l2 = self.graph.layer(2)
l2.setAntialiasing()
l2.setTitle("Resolution")
l2.setAxisTitle(Layer.Bottom, "Frequency [Hz]")
l2.setAxisTitle(Layer.Left, "Resolution [ueV]")
# legend = self.graphRes.newLegend(str(self.ei))
# self.graphRes.insertCurve(self.t, "Resolution/Frequency_2", Layer.Scatter)
l2.showGrid()
self.addPlot()
self.raise_()
self.show()
return self
def addPlot(self):
""" Adds plot to an existing graph
"""
if self.graph == None:
self.plotData()
else:
self.calculate()
if self.ei == "":
return
try:
l1 = self.graph.layer(1) # <- this is activeLayer()
except AttributeError:
QtGui.QMessageBox.warning(
self, "LETFlux",
"Plot has been deleted, Can not overplot. Plot graph first\n"
)
return
l1.addCurves(self.t, (1, 2), Layer.Line, 1, 4)
# l1.newLegend(str(self.ei))
l2 = self.graph.layer(2) # <- this is activeLayer()
l2.addCurves(self.t, (1, 3), Layer.Line, 1, 4)
return
