Change a matplotlib 3D figure's frames into x,y and z arrows

Can one can change the arrows of a figure into an arrow by superimposing arrows on top of the x, y and z axes to create the illusion of the axes being arrows or perhaps directly change the settings of the frames as Matplot lib framing in order to get the same outcome on a 3D plot, showing (x,y,z) with arrows?

Turning this

fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')

# generate sample points and straight line
z = np.repeat(0, 100) 
x = np.repeat(1.0, 100) 
y = np.linspace(start=3.0, stop=6.0, num=100) 
ax.plot(x, y, z, c='red') # draw straight line
ax.view_init(45, -150) # angle to show

# set axes limits and labels
ax.set_xlabel(r"$x$"); ax.set_ylabel(r"$y$"); ax.set_zlabel(r"$z$")
ax.set_xlim(0,1.1) ;ax.set_ylim(6,3) ;ax.set_zlim(0,1.75)

#  Remove tick marks
ax.set_xticks([0,0.25,0.5,0.75,1]) ; ax.set_xticklabels(['0','1','2','4','T'])
ax.set_yticks([6.0,5.5,5,4.5,4.0,3.5,3]) ; ax.set_yticklabels(["","","","","","",""])
ax.set_zticks([1.75,1.25,0.75,0.25]) ax.set_zticklabels(['','','',''])

# change background colour to white
ax.w_xaxis.set_pane_color((1.0, 1.0, 1.0, 1.0))

#plt.savefig("sample.png", type="png",dbi=400) # save image 
plt.tight_layout()
plt.show()

into something like this:

from Change a matplotlib 3D figure's frames into x,y and z arrows