python100天80用fillbetween填充曲线图

　　如下图我们通常会看到如下的有颜色的拆线图。
　　首先我们先定义两条拆线的X坐标，和两个Y坐标x = np.arange(1,23,2) y1 = np.array([2,3,6,5,10,10,12,14,18,20,20]) y1_err = np.array([0.6, 0.7, 0.5, 0.8, 0.5, 0.3, 0.2, 0.3, 0.6, 0.9, 0.7]) * 1.2 y2 = y1 + np.random.rand() * 4 y2_err = y1_err + np.random.rand()
　　np.arange(函数说明:,使用此函数生成x坐标x = np.arange(1,23,2)  numpy.arange(start, stop, step, dtype)根据 start 与 stop 指定的范围以及 step 设定的步长，生成一个 ndarray。
　　生成两个Y坐标y1 = np.array([2,3,6,5,10,10,12,14,18,20,20])y1_err = np.array([0.6, 0.7, 0.5, 0.8, 0.5, 0.3, 0.2, 0.3, 0.6, 0.9, 0.7]) * 1.2y2 = y1 + np.random.rand() * 4y2_err = y1_err + np.random.rand(
　　那么要在两条拆线之间填充颜色
　　画第一条拆线ax.plot(x, y1, marker=＂o＂) ax.fill_between(x, y1+y1_err, y1-y1_err, alpha=0.15)
　　画第二条拆线ax.plot(x, y2, marker=＂o＂) ax.fill_between(x, y2+y2_err, y2-y2_err, alpha=0.15)最后画此图的完整代码
　　def main():       def main():       x = np.arange(1,23,2)       y1 = np.array([2,3,6,5,10,10,12,14,18,20,20])       y1_err = np.array([0.6, 0.7, 0.5, 0.8, 0.5, 0.3, 0.2, 0.3, 0.6, 0.9, 0.7]) * 1.2       y2 = y1 + np.random.rand() * 4       y2_err = y1_err + np.random.rand()       fig = plt.figure(figsize=(10,5))       plt.rcParams[＂font.size＂] = 18        ax = plt.subplot(111)        ax.plot(x, y1, marker=＂o＂)       ax.fill_between(x, y1+y1_err, y1-y1_err, alpha=0.15)        ax.plot(x, y2, marker=＂o＂)       ax.fill_between(x, y2+y2_err, y2-y2_err, alpha=0.15)        ax.set_xlim(0, 24)       ax.set_ylim(0, 25)        ax.minorticks_on() #補助メモリの描写       ax.tick_params(axis=＂both＂, which=＂major＂,direction=＂in＂,length=5,width=2,top=＂on＂,right=＂on＂)       ax.tick_params(axis=＂both＂, which=＂minor＂,direction=＂in＂,length=2,width=1,top=＂on＂,right=＂on＂)        ax.set_title(＂Errorbar＂)       ax.set_xlabel(＂X-axis＂)       ax.set_ylabel(＂Y-axis＂)        ax.grid()  plt.show() if __name__ == ＂__main__＂: 		main()