import numpy as np

 import matplotlib.pyplot as plt

 func = np.poly1d(np.array([,,,]))

 func1 = func.deriv(m=)                 # 求一阶导数

 func2 = func.deriv(m=)                 # 求二阶导数

 x = np.linspace(-,,)

 y = func(x)

 y1 = func1(x)

 y2 = func2(x)

 '''正常绘图'''

 plt.plot(x,y,'ro',x,y1,'g--')

 plt.xlabel('x')

 plt.ylabel('y')

 plt.show()

 '''添加子图'''

 plt.subplot()

 plt.plot(x,y,c='r',linestyle='-')

 plt.title('Polynomial')

 plt.subplot()

 plt.plot(x,y1,c='b',linestyle='',marker='^')

 # plt.plot(x,y1,'b^')

 plt.title('First Derivative')

 plt.subplot()

 plt.plot(x,y2,c='g',linestyle='',marker='o')

 plt.title('Second Derivative')

 '''对数坐标'''

 plt.semilogx(x,y)  # 对x取对数

 plt.semilogy(x,y)  # 对y取对数

 plt.loglog(x,y)    # 同时取对数

 '''颜色填充'''

 fig = plt.figure()

 ax = fig.add_subplot()

 ax.fill_between(x,y,y1,facecolor='b')

 ax.grid(True)

 ax2 = fig.add_subplot()

 ax2.fill(x,y,facecolor='b',alpha=0.3)

 ax2.fill(x,y1,facecolor='g',alpha=0.3)

 ax2.grid(True)

 # plt.show()

 '''三维绘图'''

 from mpl_toolkits.mplot3d import Axes3D

 u = np.linspace(-,,)

 x,y = np.meshgrid(u,u)     # 网格坐标生成函数

 z = x**+y**

 fig = plt.figure()

 ax = Axes3D(fig)

 # cmap = color_map,另外两个参数是瓦片步长

 ax.plot_surface(x,y,z,rstride=,cstride=,cmap='rainbow')

 '''三维绘等高线图'''

 u = np.linspace(-,,)

 x,y = np.meshgrid(u,u)     # 网格坐标生成函数

 z = x**+y**

 fig = plt.figure()

 ax = fig.add_subplot()

 ax.contourf(x,y,z)

 plt.show()