Improve subplot size/spacing with many subplots

Adapting to your data's specific needs

Handling varying data volumes

Just like in your mid-morning pick-me-up coffee, the right proportions matter in your subplots too. Fit your subplot layout according in response to the volume and visualization your data demands.

Go seamless with tight_layout

The fig.tight_layout() feature is your secret sauce that blends all ingredients perfectly, adjusting the spacing between your subplots effortlessly.

fig, axs = plt.subplots(nrows=3, ncols=3)
# Here is where you plot your way to glory... 🌄
fig.tight_layout() # Magic happens here! 🎩 🐇
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Play around with sizes

Extend or shrink your plotting canvas by tweaking the figsize attribute in plt.figure(), granting your subplots their much-needed space.

plt.figure(figsize=(10, 8)) # Here's some extra canvas real estate! 🏞️ 
# ... now go crazy with subplots ...
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More control for subplot pros

Precision with subplots_adjust

The hspace and wspace parameters in plt.subplots_adjust provide meticulous control over spacing between subplots, just like the fine-tuning knobs on your stereo system! 🔊

plt.subplots_adjust(hspace=0.2, wspace=0.2) # fine-tuning your plots like a DJ at work! 🎧
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Cleaner axes

Trim away the excessive tick marks and prune irrelevant labels, beautifying your plot just like you'd groom an overgrown garden! 🌻

ax.set_xticklabels([]) # Say no to clutter!
ax.yaxis.set_major_locator(plt.MaxNLocator(3)) # Going subtle here
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Stay constrained to stay flexible

Activate constrained_layout=True for a dynamic subplot arrangement that adapts to redraws. It's like a chameleon changing its colors! 🦎

plt.subplots(constrained_layout=True) # Here's your flexible friend!
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Optimizing appearance

Scrub unnecessary visuals like a cleaning spree for your closet! The decluttered space makes your subplots stand out.

Learn and improve

Use illustrated examples and comparison visuals to see and study the impact of your tweaks on the spacing and size. It's like seeing before and after pics of a home renovation! 🏠

Value the adaptability

Ensure your subplot arrangements mould according to different data sizes just like how water takes the shape of its container.