def dovis(self):
        """ 
        Do runtime visualization
        """
        pylab.clf()

        pylab.rc("font", size=10)

        u = self.cc_data.get_var("x-velocity")
        v = self.cc_data.get_var("y-velocity")

        myg = self.cc_data.grid

        vort = myg.scratch_array()
        divU = myg.scratch_array()

        vort[myg.ilo:myg.ihi+1,myg.jlo:myg.jhi+1] = \
             0.5*(v[myg.ilo+1:myg.ihi+2,myg.jlo:myg.jhi+1] -
                  v[myg.ilo-1:myg.ihi,myg.jlo:myg.jhi+1])/myg.dx - \
             0.5*(u[myg.ilo:myg.ihi+1,myg.jlo+1:myg.jhi+2] -
                  u[myg.ilo:myg.ihi+1,myg.jlo-1:myg.jhi])/myg.dy

        divU[myg.ilo:myg.ihi+1,myg.jlo:myg.jhi+1] = \
            0.5*(u[myg.ilo+1:myg.ihi+2,myg.jlo:myg.jhi+1] -
                 u[myg.ilo-1:myg.ihi,myg.jlo:myg.jhi+1])/myg.dx + \
            0.5*(v[myg.ilo:myg.ihi+1,myg.jlo+1:myg.jhi+2] -
                 v[myg.ilo:myg.ihi+1,myg.jlo-1:myg.jhi])/myg.dy

        fig, axes = pylab.subplots(nrows=2, ncols=2, num=1)
        pylab.subplots_adjust(hspace=0.25)

        fields = [u, v, vort, divU]
        field_names = ["u", "v", r"$\nabla \times U$", r"$\nabla \cdot U$"]
    
        for n in range(4):
            ax = axes.flat[n]
    
            f = fields[n]
            img = ax.imshow(numpy.transpose(f[myg.ilo:myg.ihi+1,
                                              myg.jlo:myg.jhi+1]), 
                            interpolation="nearest", origin="lower",
                            extent=[myg.xmin, myg.xmax, myg.ymin, myg.ymax])

            ax.set_xlabel("x")
            ax.set_ylabel("y")
            ax.set_title(field_names[n])

            pylab.colorbar(img, ax=ax)


        pylab.figtext(0.05,0.0125, "t = %10.5f" % self.cc_data.t)

        pylab.draw()
dataset/ETHPy150Open zingale/pyro2/lm_combustion/simulation.py/Simulation.dovis/original