How to set a single, main title above all the subplots

Adding elbow room for your title

When using suptitle(), ensure your title has enough room to breathe atop the subplots. This is achieved by tweaking the layout:

fig.subplots_adjust(top=0.88)  # Adds some real yoga space at the top of the figure
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fig.tight_layout() gives your subplots an optimal social distancing:

fig.tight_layout()  # Anti-claustrophobia function for your subplots
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Title screen real estate and subplot cleanliness

For high-grade title visibility, you can upscale its font size:

fig.suptitle('Main Title', fontsize=20)  # Kinda like bolding your text on steroids
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Moreover, you can send unnecessary x or y ticks on a one-way trip to the Bermuda Triangle to keep your subplot looking squeaky clean:

for ax in fig.get_axes():
    ax.label_outer()  # Hides the labels and ticks in the suburbs
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The pecking order in plot structure

Ensure your visual hierarchy is on point by setting the sizes of your main and subplot titles in a harmonious balance. The main title should catch the eye, but not eye-hog:

ax.set_title('Subplot Title', fontsize=14)  # Butlers your subplot with an individual name tag
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Plot Productions in bulk and the big screen reveal

When orchestrating multiple subplots, a for loop is your best friend that helps automatically summon and tweak each subplot:

import numpy as np

# Unleash a dataset from the wild
data = np.random.rand(10, 10)

fig, axes = plt.subplots(nrows=2, ncols=2)

for i, ax in enumerate(axes.flatten()):
    ax.imshow(data * (i + 1))  # Cast a spell to slightly alter the data for each subplot
    ax.set_title(f'Subplot {i+1}', fontsize=10)  # Bestow a unique name upon each little subplot

fig.suptitle('Random Data Soiree')
plt.show()
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Voila! You've sired multiple subplots, each tickling a different note of your data, functionally tagged and all under the patronage of the main title.

Subplot casualties and how to avoid them

In the heat of plotting bigger setups, you might run into some layout gridlock and readability hiccups:

• Title Subplot Collisions: Avert by providing enough margin.
• Raised Eyebrows on Content Visibility: Customize font sizes to ease reading.
• Subplot Overcrowding: Activate tight_layout() or manually finetune subplot parameters.

Your meticulously composed plot is now ready to drop the mic to thunderous applause!