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# How Germany’s Line Ended Up on France’s Chart

**[Medium](https://daily.dev/sources/medium_js)** · 6 min read · 0 upvotes · 0 comments

## Summary

A debugging story about a subtle concurrency bug in matplotlib caused by its hidden global 'current figure' state. When multiple workers generated charts in parallel using the familiar plt.* shortcut API, they all wrote to the same shared figure object, causing data from one chart to appear on another — with no error raised. A secondary symptom was a slow memory leak from unclosed figures. The fix is to use matplotlib's object-oriented API (Figure and Axes objects) so each worker owns its own isolated figure. The broader lesson: convenient 'magic' APIs often hide shared global state that becomes a race condition under parallelism.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://medium.com/@priyanshijajoo96/how-germanys-line-ended-up-on-france-s-chart-27bc8286eb1d>

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Tags: [#python](https://daily.dev/tags/python), [#matplotlib](https://daily.dev/tags/matplotlib)

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