Bug summary

When saving figures with large data images (imshow), matplotlib version 3.10.0 uses ~4.2 times the amount of memory, and runs ~2.5 times slower.

Code for reproduction

#!/usr/bin/env -S uv run --with humanize --with numpy --with "matplotlib==3.10"importtracemallocimporthumanizeimportmatplotlib.pyplotaspltimportnumpyasnptracemalloc.start()fig,ax=plt.subplots()ax.imshow(np.zeros((10_000,10_000)))fig.savefig("test.png")_,peak=tracemalloc.get_traced_memory()print(f"Memory usage peaked at{humanize.naturalsize(peak)}")

Actual outcome

Memory usage peaked at 7.2 GB

Expected outcome

Memory usage peaked at 1.7 GB

This is the result when the shebang in the code example is changed to "matplotlib<3.10", or when thefig.savefig("test.png") line is removed.

Additional information

May be related to#28904, although switching the backend to Cairo doesn't affect the results.

Operating system

Arch

Matplotlib Version

3.10.0

Matplotlib Backend

agg

Python version

Python 3.13.0

Jupyter version

No response

Installation

None