How to ensure correct aspect ratio in a 3D plot when using Matplotlib 3.5.1?
I'm testing a new approach and I'm trying to create a 3D scatter plot using Matplotlib 3.5.1, but I'm having trouble maintaining the aspect ratio of the axes... When I specify the limits for each axis manually, the plot does not appear to respect the aspect ratio, and it looks distorted. Here’s the code I’m using: ```python import numpy as np import matplotlib.pyplot as plt from mpl_toolkits.mplot3d import Axes3D fig = plt.figure() ax = fig.add_subplot(111, projection='3d') # Sample data x = np.random.rand(100) y = np.random.rand(100) z = np.random.rand(100) ax.scatter(x, y, z) # Setting limits ax.set_xlim(0, 1) ax.set_ylim(0, 1) ax.set_zlim(0, 1) plt.show() ``` When I run this code, the plot does not maintain a 1:1:1 aspect ratio. I’ve tried using `ax.set_box_aspect([1,1,1])`, but it doesn't change the distortion. Additionally, I’ve looked into `ax.view_init(elev=20, azim=30)` to change the viewpoint, but that doesn’t help with the aspect ratio scenario. I would expect the distances along each axis to be equal visually, but it looks like the z-axis is stretched or squished compared to the x and y axes. Any insights on how to properly enforce aspect ratios in Matplotlib for 3D plots? Are there specific configurations or methods that I might be missing? Cheers for any assistance! I've been using Python for about a year now. Am I missing something obvious?