For 2D data， we can use the seaborn tool to display the marginal distributions （https://seaborn.pydata.org/examples/regression_marginals.html). I generate 4D data and want to display the data trend with each of 3 axes（as the figure). Please, how to make it?
the 4D data displaying code is:
import numpy as np
import matplotlib.pyplot as plt
# only for example, use your grid
z = np.linspace(0, 1, 15)
x = np.linspace(0, 1, 15)
y = np.linspace(0, 1, 15)
X, Y, Z = np.meshgrid(x, y, z)
# Your 4dimension, only for example use yours
U = np.exp(-(X/2) ** 2 - (Y/3) ** 2 - Z ** 2)
# Creating figure
fig = plt.figure()
ax = plt.axes(projection="3d")
# Creating plot
ax.scatter3D(X, Y, Z, c=U, alpha=0.7, marker='.')
plt.show()
I am hoping that by posting this someone who is more familiar with matplotlib than myself might be able to let me know a way to fix this issue I am having.