def __init__(self, *args, **kwargs):
FigureWindow.__init__(self, *args, **kwargs)
# The toolbar {
toolTabs = self.toolTabs
# Data tab {
frmCAF = Frame(toolTabs)
grpLoad = LoadGroup(frmCAF, topwin = self)
grpLoad.pack(side=LEFT, fill=Y)
grpColormap = ColormapGroup(frmCAF, topwin=self)
grpColormap.pack(side=LEFT, fill=Y)
toolTabs.add(frmCAF, text='CAF')
# } End data tab
self.makeViewTab()
self.makeMarkerTab()
#} End toolbar
figureBook = self.figureBook
figureBook.makeFigures(
figureMeta=[
{'name':'discrete-CAF', 'polar':False}
]
)
self.caf = None
def __init__(self, *args, **kwargs):
FigureWindow.__init__(self, *args, **kwargs)
# The toolbar {
toolTabs = self.toolTabs
# Algorithm tab {
frmAlgo = Frame(toolTabs)
grpSolve = OptimizeGroup(frmAlgo, topwin=self)
grpSolve.pack(side=LEFT, fill=Y)
grpEdit = EditGroup(frmAlgo, topwin=self)
grpEdit.pack(side=LEFT, fill=Y)
self.__grpEdit = grpEdit
toolTabs.add(frmAlgo, text='Algorithm')
# } End Algorithm tab
# View Tab {
self.makeViewTab()
# } End View tab
# Marker Tab {
self.makeMarkerTab()
#} End Marker tab
# Export tab {
self.makeExportTab()
frmExport = self.exportFrame
grpExport = FileExportGroup(frmExport, topwin=self)
grpExport.pack(side=LEFT, fill=Y)
# } End Export tab
# } End toolbar
self.idealPattern = None
self.angles = None
figureBook = self.figureBook
figureBook.makeFigures(
figureMeta=[
dict(name='Cartesian' , polar=False),
dict(name='Polar' , polar=True)
]
)
figCart = figureBook[0]
figCart.plotFunction = lambda *args, **kwargs: figCart.plot(*args, **kwargs)
figPolar = figureBook[1]
figPolar.plotFunction = lambda angles, pattern, **kwargs: figPolar.plot(angles/180.*pi, pattern, **kwargs)
self.angles = r_[-90:90.1:0.1]
self.__problem = pattern2corrmtx.Problem()
self.__piecewisePattern = pattern2corrmtx.PiecewisePattern()
self.R = None
def __init__(self, *args, **kwargs):
FigureWindow.__init__(self, *args, **kwargs)
# The toolbar {
toolTabs = self.toolTabs
# Algorithm tab {
frmAlgo = Frame(toolTabs)
grpSolve = OptimizeGroup(frmAlgo, topwin=self)
grpSolve.pack(side=LEFT, fill=Y)
grpEdit = EditGroup(frmAlgo, topwin=self)
grpEdit.pack(side=LEFT, fill=Y)
self.__grpEdit = grpEdit
toolTabs.add(frmAlgo, text='Algorithm')
# } End Algorithm tab
# View Tab {
self.makeViewTab()
# } End View tab
# Marker Tab {
self.makeMarkerTab()
#} End Marker tab
# Export tab {
self.makeExportTab()
frmExport = self.exportFrame
grpExport = FileExportGroup(frmExport, topwin=self)
grpExport.pack(side=LEFT, fill=Y)
# } End Export tab
# } End toolbar
self.idealPattern = None
self.angles = None
figureBook = self.figureBook
figureBook.makeFigures(figureMeta=[
dict(name='Cartesian', polar=False),
dict(name='Polar', polar=True)
])
figCart = figureBook[0]
figCart.plotFunction = lambda *args, **kwargs: figCart.plot(
*args, **kwargs)
figPolar = figureBook[1]
figPolar.plotFunction = lambda angles, pattern, **kwargs: figPolar.plot(
angles / 180. * pi, pattern, **kwargs)
self.angles = r_[-90:90.1:0.1]
self.__problem = pattern2corrmtx.Problem()
self.__piecewisePattern = pattern2corrmtx.PiecewisePattern()
self.R = None
def __init__(self, *args, **kwargs):
FigureWindow.__init__(self, *args, **kwargs)
# The toolbar {
toolTabs = self.toolTabs
# Data tab {
frmCAF = Frame(toolTabs)
grpLoad = LoadGroup(frmCAF, topwin=self)
grpLoad.pack(side=LEFT, fill=Y)
grpColormap = ColormapGroup(frmCAF, topwin=self)
grpColormap.pack(side=LEFT, fill=Y)
toolTabs.add(frmCAF, text='CAF')
# } End data tab
self.makeViewTab()
self.makeMarkerTab()
#} End toolbar
figureBook = self.figureBook
figureBook.makeFigures(figureMeta=[{
'name': 'discrete-CAF',
'polar': False
}])
self.caf = None
def __init__(self, *args, **kwargs):
FigureWindow.__init__(self, *args, **kwargs)
self.currentData = None
# algorithm dict and current data
self.algorithms = AlgorithmDict()
self.lockAttribute('algorithms')
#
# The toolbar
toolTabs = self.toolTabs
figureBook = self.figureBook
frmAlgo = Frame(toolTabs)
grpAlgoSel = AlgoSelGroup(frmAlgo, topwin=self)
grpAlgoSel.pack(side=LEFT, fill=Y)
grpParams = ParamsGroup(frmAlgo, topwin=self)
grpParams.pack(side=LEFT, fill=Y)
grpSolve = OptimizeGroup(frmAlgo, topwin=self)
grpSolve.pack(side=LEFT, fill=Y)
toolTabs.add(frmAlgo, text='Algorithm')
with self.attributeLock:
setMultiAttr(self,
grpAlgoSel = grpAlgoSel,
grpParams = grpParams,
grpSolve = grpSolve
)
self.makeViewTab()
self.makeMarkerTab()
self.makeExportTab()
# End toolbar
figureBook.makeFigures(
figureMeta = [
dict(name='Envelope', polar=False),
dict(name='Phase', polar=False),
dict(name='AutoCorrelation', polar=False),
dict(name='PSD', polar=False)
]
)
with open(Application.instance.configFileName) as f:
config = json.load(f)
algorithms = config['SingleWaveformAlgorithms']
for algo in algorithms:
self.loadAlgorithm(moduleName=algo['ModuleName'], className=algo['ClassName'])
self.grpAlgoSel.algoList.current(len(algorithms)-1)
figEnvelope = figureBook[0]
figEnvelope.plotFunction = lambda currentData, *args, **kwargs:\
figEnvelope.plot(abs(currentData), *args, **kwargs)
figPhase = figureBook[1]
figPhase.plotFunction = lambda currentData, *args, **kwargs:\
figPhase.plot(angle(currentData), *args, **kwargs)
def plot_acdb(currentData, *args, **kwargs):
s = currentData
if not isinstance(s, ndarray):
s = array(s)
N = len(s)
ac = convolve(s, conj(s[::-1]))
acdb = 20*log10(abs(ac))
acdb = acdb - max(acdb)
figAuto.plot(r_[(-N+1):N], acdb, *args, **kwargs)
figAuto = figureBook[2]
figAuto.plotFunction = plot_acdb
figPSD = figureBook[3]
figPSD.plotFunction = lambda currentData, *args, **kwargs:\
figPSD.plot(abs(fft.fft(currentData)), *args, **kwargs)
