👀 Views: 36 💬 Answers: 1 📅 Created: 2025-06-14

matplotlib subplots data-visualization Python

I've been researching this but I've hit a wall trying to I'm relatively new to this, so bear with me. I'm trying to debug I tried several approaches but none seem to work... I'm trying to create a grid of subplots in Matplotlib where not all subplots share the same x-axis and y-axis. My goal is to have a 2x3 grid, where the first two subplots share the x-axis and the last subplot in the first row is independent. However, I'm working with issues where the scales for the independent subplot seem to be affected by the shared axes, which isn't what I expected. Here's the code I'm currently using: ```python import matplotlib.pyplot as plt import numpy as np x = np.linspace(0, 10, 100) y1 = np.sin(x) y2 = np.cos(x) y3 = np.tan(x) y4 = np.exp(x) fig, axs = plt.subplots(2, 3, sharex='col', sharey='row') # First row axs[0, 0].plot(x, y1) axs[0, 1].plot(x, y2) axs[0, 2].plot(x, y3) # Second row axs[1, 0].plot(x, y4) axs[1, 1].plot(x, y1 * 10) axs[1, 2].plot(x, y2 * 10) plt.tight_layout() plt.show() ``` I've tried using `sharex=False` and `sharey=False` for the independent subplot but that leads to misalignments in the grid. Additionally, when I try to set individual limits on the axes of the independent subplot, it seems to revert to the limits of the shared axes. I've looked through the Matplotlib documentation for version 3.4.3 but couldn't find a clear solution. Is there a way to maintain local y-axis scaling for the independent subplot while sharing the axes for the others without causing these conflicts? Any advice would be greatly appreciated. My development environment is macOS. Thanks in advance! Is there a simpler solution I'm overlooking? This is happening in both development and production on Ubuntu 22.04.