How Can I Prevent Overlapping Subplots in Matplotlib When Creating Many Vertically Stacked Plots?

Overlapping Subplots in Matplotlib with Numerous Plots

When generating a series of vertically-stacked plots in Matplotlib for display on a webpage, ensuring appropriate spacing between subplots is crucial to prevent overlaps. Despite increasing the figure size, subplots often overlap.

Current Implementation

The following code illustrates the current implementation:

import matplotlib.pyplot as plt
import my_other_module

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

Solution: Tight Layout

To address this issue, consider using matplotlib.pyplot.tight_layout or matplotlib.figure.Figure.tight_layout. These functions adjust the subplots and spacing such that they do not overlap.

Example

import matplotlib.pyplot as plt

fig, axes = plt.subplots(nrows=4, ncols=4, figsize=(8, 8))
fig.tight_layout() # Or equivalently,  "plt.tight_layout()"

plt.show()

Visual Comparison

The following images demonstrate the impact of using tight_layout:

Without tight_layout

With tight_layout

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