How Can I Prevent Subplot Overlap When Creating Many Subplots in Matplotlib?

Optimizing Subplot Appearance for Numerous Subplots in Matplotlib

When creating complex visualizations with matplotlib, it's often necessary to display multiple subplots vertically stacked. However, accommodating the appropriate spacing between these subplots to prevent overlap can be a challenge.

To address this issue, consider the following solution:

import matplotlib.pyplot as plt

titles, x_lists, y_lists = my_other_module.get_data()

fig = plt.figure(figsize=(10,60))
for i, y_list in enumerate(y_lists):
    plt.subplot(len(titles), 1, i)
    plt.xlabel("Some X label")
    plt.ylabel("Some Y label")
    plt.title(titles[i])
    plt.plot(x_lists[i],y_list)

# Adjust subplot spacing
plt.tight_layout()  # Or equivalently, "plt.figure.Figure.tight_layout()"

fig.savefig('out.png', dpi=100)

The plt.tight_layout() function automatically adjusts the subplot spacing, ensuring that the subplots fit neatly within the figure's boundaries. This feature is particularly useful when generating a substantial number of subplots and is not bound by the figure's height.

For reference, the following images demonstrate the impact of using plt.tight_layout():

Without Tight Layout

[Image of overlapped subplots]

With Tight Layout

[Image of properly spaced subplots]

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