Did I find the right examples for you? yes no      Crawl my project      Python Jobs

All Samples(4)  |  Call(4)  |  Derive(0)  |  Import(0)

src/p/y/pymca-HEAD/PyMca5/PyMcaMath/fitting/SimpleFitModule.py   pymca(Download)
    from PyMca import PyMcaQt as qt
    from PyMca import Parameters
    a = qt.QApplication(sys.argv)
    qt.QObject.connect(a,qt.SIGNAL("lastWindowClosed()"),a,qt.SLOT("quit()"))
    w =Parameters.Parameters()

src/p/y/pymca-HEAD/PyMca5/PyMcaPhysics/xrf/ClassMcaTheory.py   pymca(Download)
            import PyMca.PyMcaQt as qt
            from PyMca.widgets import ScanWindow
            app = qt.QApplication(sys.argv)
            graph = ScanWindow.ScanWindow()
            xw = numpy.ravel(mcafit.xdata)
        import PyMca.PyMcaQt as qt
        from PyMca.widgets import ScanWindow
        app = qt.QApplication(sys.argv)
        graph = ScanWindow.ScanWindow()
        xw = numpy.ravel(mcafit.xdata)

src/p/y/pymca-HEAD/PyMca5/PyMcaMath/fitting/SpecfitFunctions.py   pymca(Download)
    y = a.gauss(p1,x)+1
    y = y + a.gauss(p2,x)
    app=qt.QApplication([])
    #fit=Specfit.Specfit(root,x,y,
    #                    user_theory='New Theory',