How to correctly set the axis limits for subplots in Matplotlib while preserving the data aspect ratio?
I can't seem to get I've been banging my head against this for hours. I'm working on a project and hit a roadblock. I'm creating a figure with multiple subplots using Matplotlib 3.5.1, and I'm running into an scenario with setting the axis limits. I want each subplot to have specific x and y limits, but when I use `set_xlim()` and `set_ylim()`, the aspect ratio seems to distort, and the plots don't look as expected. Here’s what I’ve tried: ```python import matplotlib.pyplot as plt import numpy as np # Sample data x = np.linspace(0, 10, 100) y1 = np.sin(x) y2 = np.cos(x) fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(12, 5)) # Set limits for the first subplot ax1.plot(x, y1) ax1.set_xlim(0, 10) ax1.set_ylim(-1, 1) ax1.set_aspect('equal') # This seems to distort the limits # Set limits for the second subplot ax2.plot(x, y2) ax2.set_xlim(0, 10) ax2.set_ylim(-1, 1) ax2.set_aspect('equal') # Same scenario here plt.show() ``` When I run this code, the two subplots look stretched vertically. I’ve tried adjusting the aspect ratio, but it doesn’t seem to help. I also explored `ax.set_aspect('auto')`, which resolves the stretching, but I lose the aspect ratio I desired. Is there a way to set the axis limits while maintaining the aspect ratio without distorting the plot? Any suggestions would be greatly appreciated! My development environment is Windows. Any ideas what could be causing this? Is this even possible? Is this even possible?