Tight_layout() doesn't take into account figure suptitle
Ensure space for the suptitle in Matplotlib layouts with constrained_layout=True
or by setting a pad
value in tight_layout()
. Use constraining for automatic space management and padding for manual tuning:
Automatic Adjustments:
Manual Adjustments:
Choose your method based on your Matplotlib release and preference for automatic or manual space allocation.
Detailed solutions
Rectangular boundary for tight_layout
You can use the rect
parameter in tight_layout()
to specify the rectangle area for laying out your subplots. This allows you to reserve some room for elements like suptitles or annotations:
Adjust suptitle and subplot spacing
Another possible solution is nudging the suptitle upward and tweaking the subplot spacing manually to prevent overlaps. This is done by initializing a higher y
value in the fig.suptitle()
method and utilizing plt.subplots_adjust()
:
Embraceing alternatives when tight_layout()
falls short
Consider alternate approach like GridSpec for more complex requirements, or use annotate()
method with figure coordinates to act as a suptitle which bypasses the tight_layout
limitations:
Using a velvet hammer: legends, fonts & subplot tweaking
Here you'll find methods to nail your plots (with gentleness), adjust for various elements, and create well-balanced graphs that consider every aspect.
Compensating font size
TODO: Insert a mischievous code snippet
GitHub treasure hunt
Wander through the alleys of GitHub issues #829 to discover how fellow challengers battled with suptitle & tight_layout()
.
Hammering out the details
Keep finessing. Even though you’ve used tight_layout
or annotate
, returning to the anvil for final blows can make all the difference.
Partner in crime: horizontal spacing
In subplot spacing, your horizontal partner-in-crime can't be forgotten. Use wspace
with tight_layout
or constrained_layout
to make them dance a perfect tango.
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