def _plot_valfun(self, VMat):
        if self.valueFunction_fig is None or self.valueFunction_img is None:
            maxV = VMat.max()
            minV = VMat.min()
            self.valueFunction_fig = pl.figure("Value Function")
            ax = self.valueFunction_fig.add_subplot(111)
            self.valueFunction_img = ax.imshow(
                VMat,
                cmap='ValueFunction',
                interpolation='nearest',
                origin='lower',
                vmin=minV,
                vmax=maxV)
            pl.xticks(self.xTicks, self.xTicksLabels, fontsize=12)
            # Don't need the y labels since we share axes on subplot
            pl.xlabel(r"$\theta$ (degree)")
            pl.title('Value Function')

        norm = colors.Normalize(vmin=VMat.min(), vmax=VMat.max())
        self.valueFunction_img.set_data(VMat)
        self.valueFunction_img.set_norm(norm)
        self.valueFunction_fig.canvas.draw()
Initializes the QuadMoveBy
dataset/ETHPy150Open rlpy/rlpy/rlpy/Domains/CartPoleBase.py/CartPoleBase._plot_valfun--crossover with--dataset/ETHPy150Open los-cocos/cocos/cocos/actions/quadmoveby_actions.py/QuadMoveBy.init