TargetImage.py 文件源码

def visualiseNormObject(self):
        shape = (2*self.extent, 2*self.extent)
        pylab.ion()
        pylab.clf()
        #pylab.set_cmap("bone")
        pylab.hot()
        pylab.title("image: %s" % self.fitsFile)
        pylab.imshow(np.reshape(self.signPreserveNorm(), shape, order="F"), interpolation="nearest")
        pylab.plot(np.arange(0,2*self.extent), self.extent*np.ones((2*self.extent,)), "r--")
        pylab.plot(self.extent*np.ones((2*self.extent,)), np.arange(0,2*self.extent), "r--")
        pylab.colorbar()
        pylab.ylim(-1, 2*self.extent)
        pylab.xlim(-1, 2*self.extent)
        pylab.xlabel("Pixels")
        pylab.ylabel("Pixels")
        pylab.show()