In MATLAB, it is quite easy to make a 3d stem plot with the stem3
command.
Is there a similar command in matplotlib? I checked the online documentation for the latest version, but could not find one. Can anyone give some suggestions on how to plot this data as a 3d stem plot?
import numpy as np
N = 50
theta = np.linspace(0, 2*np.pi, N, endpoint=False)
x = np.cos(theta)
y = np.sin(theta)
z = range(N)
I'm unaware of any direct equivalent of stem3
in matplotlib. However, it isn't hard to draw such figures (at least in its basic form) using Line3Ds:
import matplotlib.pyplot as plt
import mpl_toolkits.mplot3d.art3d as art3d
import numpy as np
fig = plt.figure()
ax = fig.add_subplot(1, 1, 1, projection='3d')
N = 100
theta = np.linspace(0, 2*np.pi, N, endpoint=False)
x = np.cos(theta)
y = np.sin(theta)
z = range(N)
for xi, yi, zi in zip(x, y, z):
line=art3d.Line3D(*zip((xi, yi, 0), (xi, yi, zi)), marker='o', markevery=(1, 1))
ax.add_line(line)
ax.set_xlim3d(-1, 1)
ax.set_ylim3d(-1, 1)
ax.set_zlim3d(0, N)
plt.show()