[Python] 6 subplot containing 2 subplots vertically aligned using Matplotlib

Consider the single plot:

import matplotlib.pyplot as plt
import numpy as np

# Generate sample data
x = np.linspace(0, 10, 100)
y1 = np.sin(x) # Data for the top subplot
y2 = np.cos(x) # Data for the bottom subplot

# Create the figure and two subplots, sharing the x-axis
fig, (ax1, ax2) = plt.subplots(2, 1, figsize=(8, 6), sharex=True, gridspec_kw={"hspace": 0.4})

# Plot data on the first subplot
ax1.plot(x, y1, label="sin(x)", color="blue")
ax1.set_ylabel("Top Y-Axis")
ax1.set_title("Two Vertically Aligned Subplots")
ax1.legend()

# Plot data on the second subplot
ax2.plot(x, y2, label="cos(x)", color="orange")
ax2.set_ylabel("Bottom Y-Axis")
ax2.set_xlabel("Shared X-Axis")
ax2.legend()

# Show the plot
plt.show()



I'd like to have 6 of these curves (2x3) within a single plot, such that:

fig, axs = plt.subplots(2, 3, figsize=(16, 8), tight_layout=True)


In other words, I'd like to set 6 figures, each containing 2 subplots vertically aligned each. Is that possible using matplotlib?

The example code is available.

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