我正在尝试创建一个3D图显示场线通过一个表面，可以使用Python倾斜。对于场线，我希望创建他们的基础上，场向量，显示使用箭。图中的箭头似乎是非常低的分辨率，如何改善这方面的建议？任何帮助将不胜感激！
enter image description here
这是我的代码;

import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits import mplot3d

angle = 0 #

b_y = np.cos(angle*np.pi/180) #
b_z = np.sin(angle*np.pi/180) #

l = np.array([1,0,0])   #
b = np.array([0,b_y,b_z])   # 
A = np.cross(l,b)       #

l_ = np.linalg.norm(l)  # 
b_ = np.linalg.norm(b)  #
A_ = np.linalg.norm(A)  #r

# Plot
plt.figure(1)
ax = plt.axes(projection="3d")
ax.set_xlabel("x")
ax.set_ylabel("y")
ax.set_zlabel("z")

ax.set_xlim(0, 1)
ax.set_ylim(0, 1)
ax.set_zlim(0, 1)

# Surface
n = 100 
x_l =np.linspace(0,b[1], n)
y_b = np.linspace(0,1, n)
z_z = np.linspace(0,b[2],n)
xx, yy = np.meshgrid(x_l, y_b)
zz = (xx+yy)/(xx+yy) + z_z -1
ax.plot_surface(xx, yy, zz, alpha=0.5)

B = np.array([0,0,1]) # Field vector
flux = np.dot(A,B) # Flux

m = 4
# Plot field lines
for x in range(0,m+1):
    for y in range(0,m+1):
        #ax.plot3D([x*b_/m,x*b_/m],[y*l_/m,y*l_/m],[0,1], color='purple')
        ax.quiver(y/m,x/m, np.zeros(n), B[0], B[1], B[2], length=0.1, normalize=True, color='purple')

plt.savefig('3Dplot1.png',dpi=300)
plt.show()