I know that I can do a 4D plot in matplotlib with the following code, with the fourth dimension shown as a colormap:
import numpy as np
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
from matplotlib import cm
fig = plt.figure()
ax = fig.add_subplot(111,projection= '3d' )
x = np.arange(100)/ 101
y = np.sin(x) + np.cos(x)
X,Y = np.meshgrid(x,y)
Z = (X**2) / (Y**2)
A = np.sin(Z)
ax.plot_surface(X,Y, Z, facecolors=cm.Oranges(A))
plt.show()
But what if my data is not a function of the other data? How do I do this without np.meshgrid? (In other words, my Z series cannot be a function of the output of the X,Y which is the output of np.meshgrid(x,y), because Z is not a function of X and Y.)