I am using mplot3d like this:
fig = plt.figure(figsize=(14,10))
ax = Axes3D(fig,azim=azimuth,elev=elevation)
ax.grid(on=False)
# Additional axes
xspan =
If I understand your question correctly, all you need to do is call ax.axis("off")
or equivalently, ax.set_axis_off()
.
Just to make sure we're on the same page, your example code might produce something like this (if it could be executed as you posted it...):
While you want something like this:
Here's the code to generate the example below, for future reference:
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
import numpy as np
fig = plt.figure()
ax = Axes3D(fig)
# Draw x, y, and z axis markers in the same way you were in
# the code snippet in your question...
xspan, yspan, zspan = 3 * [np.linspace(0,60,20)]
zero = np.zeros_like(xspan)
ax.plot3D(xspan, zero, zero,'k--')
ax.plot3D(zero, yspan, zero,'k--')
ax.plot3D(zero, zero, zspan,'k--')
ax.text(xspan.max() + 10, .5, .5, "x", color='red')
ax.text(.5, yspan.max() + 10, .5, "y", color='red')
ax.text(.5, .5, zspan.max() + 10, "z", color='red')
# Generate and plot some random data...
ndata = 10
x = np.random.uniform(xspan.min(), xspan.max(), ndata)
y = np.random.uniform(yspan.min(), yspan.max(), ndata)
z = np.random.uniform(zspan.min(), zspan.max(), ndata)
c = np.random.random(ndata)
ax.scatter(x, y, z, c=c, marker='o', s=20)
# This line is the only difference between the two plots above!
ax.axis("off")
plt.show()