1.显函数图像绘制
例：绘制y=sinx的图像
代码如下：
from sympy import * x = symbols('x') plot(sin(x), (x, -2 * pi, 2 * pi))运行结果：
2.隐函数图像绘制
例：绘制11x²-12|x|y+11y²=121的图像
代码如下：
from sympy import * x, y = symbols('x y') plot_implicit(Eq(11 * x ** 2 - 12 * abs(x) * y + 11 * y ** 2, 121))运行结果：
3.三维图像绘制
例：绘制y=xe^(-x²-y²)的图像
代码如下：
from sympy import * from sympy.plotting import plot3d x, y, z = symbols('x y z') plot3d(x * exp(-x ** 2 - y ** 2), (x, -3, 3), (y, -2, 2))运行结果：
4.三维爱心图像
代码如下：
from mpl_toolkits.mplot3d import Axes3D from matplotlib import cm from matplotlib.ticker import LinearLocator, FormatStrFormatter import matplotlib.pyplot as plt import numpy as np def heart_3d(x, y, z): return (x ** 2 + (9 / 4) * y ** 2 + z ** 2 - 1) ** 3 - x ** 2 * z ** 3 - (9 / 80) * y ** 2 * z ** 3 def plot_implicit(fn, bbox=(-1.5, 1.5)): xmin, xmax, ymin, ymax, zmin, zmax = bbox * 3 fig = plt.figure() ax = fig.add_subplot(111, projection='3d') A = np.linspace(xmin, xmax, 100) B = np.linspace(xmin, xmax, 40) A1, A2 = np.meshgrid(A, A) for z in B: X, Y = A1, A2 Z = fn(X, Y, z) cset = ax.contour(X, Y, Z + z, [z], zdir='z', colors=('r',)) for y in B: X, Z = A1, A2 Y = fn(X, y, Z) cset = ax.contour(X, Y + y, Z, [y], zdir='y', colors=('red',)) for x in B: Y, Z = A1, A2 X = fn(x, Y, Z) cset = ax.contour(X + x, Y, Z, [x], zdir='x', colors=('red',)) ax.set_zlim3d(zmin, zmax) ax.set_xlim3d(xmin, xmax) ax.set_ylim3d(ymin, ymax) # 取消坐标轴显示 plt.axis('off') plt.show() if __name__ == '__main__': plot_implicit(heart_3d)运行结果：
