问题是sympy Plot创建了自己的图形和轴。它并不意味着绘制到现有的轴。
但是，您可以在显示渐近图之前，用现有的轴替换绘制图的轴。

from sympy import Symbol,plot
import matplotlib.pyplot as plt
def move_sympyplot_to_axes(p, ax):
    backend = p.backend(p)
    backend.ax = ax
    backend._process_series(backend.parent._series, ax, backend.parent)  # backend.process_series() no longer works
    backend.ax.spines['right'].set_color('none')
    backend.ax.spines['bottom'].set_position('zero')
    backend.ax.spines['top'].set_color('none')
    plt.close(backend.fig)
    
x=Symbol('x')
p1 = plot(x**2,(x,-2,2), show=False)
p2 = plot(x**3,(x,-2,2), show=False)
fig, (ax,ax2) = plt.subplots(ncols=2)
move_sympyplot_to_axes(p1, ax)
move_sympyplot_to_axes(p2, ax2)
plt.show()

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我的解决方案没有直接将p1、p2添加到子图中，而是捕获并使用它们的（x，y）坐标。

import matplotlib.pyplot as plt
from sympy import symbols
import numpy as np
from sympy import symbols
from sympy.plotting import plot
# part 1
# uses symbolic plot of functions
x = symbols('x')
#p1, p2 = plot(x**2, x**3, (x, -2, 2))
# this plot will not show ...
# only produce 2 curves
p1, p2 = plot((x**2, (x, -2, 2)), \
                (x**3, (x, -2, 2)), \
                show=False)
# collect (x,y)'s of the unseen curves 
x1y1 = p1.get_points()  # array of 2D
x2y2 = p2.get_points() 
# part 2
# uses regular matplotlib to plot the data
fig = plt.figure(figsize=(8, 5))
ax1 = fig.add_subplot(121)
ax2 = fig.add_subplot(122)
# do subplot 1 
ax1.plot(x1y1[0], x1y1[1], 'g')  # plot x**2 in green
ax1.set_xlim([-2, 2])
ax1.set_xlabel('X1')
ax1.set_ylabel('Y1')
ax1.set_title('Line1')  # destroyed by another .title(); axis metho1
# do subplot 2
ax2.plot(x2y2[0], x2y2[1], 'r')  # plot x**3 in red
ax2.set_xlim([-2, 2])
ax2.set_xlabel('X2')
ax2.set_ylabel('Y2')
ax2.set_title('Line2')
fig.subplots_adjust(wspace=0.4) # set space between subplots
plt.show()

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结果图：

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您可以简单地使用plotgrid在一个图中获得2个或多个图。
参见：sympy.plotting.PlotGrid（）
下面是一个工作示例：

import sympy as sp
from matplotlib import pyplot as plt
# define functions
x = symbols('x')
f = sin(x)
g = cos(x)
# create separate plots
p1 = plot(f, show=False, xlim=(-pi, pi), line_color='blue', legend=True)
p2 = plot(g, show=False, xlim=(-pi, pi), line_color='red', legend=True)
# create a plotgrid with 2 rows and 1 column
plotgrid = sp.plotting.PlotGrid(2, 1, p1, p2, show=False, size=(5., 3.5))
plotgrid.show()

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结果图：

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