How to add a title to each subplot

More than setting titles: advanced subplot tweaking

Loop through subplots for dynamic titles

Have many subplots? Slap titles on all with a loop:

fig, axs = plt.subplots(nrows=3, ncols=3)
for i, ax in enumerate(axs.flat):  # Flat iterators: like flat Earth, but real!
    ax.set_title(f'Subplot {i+1}')  # naming your baby plots
plt.show()
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Spice up your titles with alternatives

Not a fan of mainstream set_title? Meet its alter ego, title.set_text :

ax.title.set_text('My Subplot Title')  # unconventional way, yet just as cool
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Set the stage: Add a main title

fig.suptitle brings forth main titles that overshadow all subplots:

fig.suptitle('My Main Figure Title', fontsize=16)  # 16px, because size matters
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Choreographing complex subplot configurations

Subplot titles dance well with complex subplot layouts:

fig, axs = plt.subplots(3, 1, gridspec_kw={'height_ratios': [1, 2, 1]})
axs[0].set_title('Top View')  # You have my attention, I'm all ears!
axs[1].set_title('Main Scene')  # And... Action!
axs[2].set_title('Bottom View')  # Awesome, but we're done looking up your nostrils!
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Taming your layout with tight_layout

Meet tight_layout():

fig.tight_layout(pad=3.0)  # More room, less drama among subplots
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Subplot title aesthetics: The dressing game

Dress your titles for success with font and position customizations:

ax.set_title('Beautiful Plot', fontdict={'fontsize': 14, 'color': 'green'}, loc='left')  # Green, because eco-friendly fonts exist.
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Troubleshooting guide: common pitfalls

Ensuring unique titles

Beware, same subplot titles are as confusing as identical twins. Make sure they're unique:

# WRONG: Sets 'One-ring-to-rule-them-all' type of title
for ax in axs.flat:
    ax.set_title('The general title') # I'm general, but I don't rule subplots!

# RIGHT: Marks each subplot with unique identifier
for index, ax in enumerate(axs.flat):
    ax.set_title(f'Subplot-{index + 1}')  # 'I'm unique, like everyone else'
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Tips to avoid title overlap

Titles may overlap, acting like grumpy neighbors. Use tight_layout or constrained_layout to set boundaries:

plt.tight_layout()  # Let's make some room for ourselves!
# Or alternatively:
fig, axs = plt.subplots(2, 2, constrained_layout=True) # Use C-L, also stands for Civilized Layout!
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Crafting dynamic title content

Inject content dynamically into your titles. Unleash the power of f-strings or str.format:

ax.set_title(f'Data Plot of {dynamic_value}')  # Titles on-the-fly, like your data!
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