⚡️ Speed up method Figure.add_violin by 10%
#73
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📄 10% (0.10x) speedup for
Figure.add_violininplotly/graph_objs/_figure.py⏱️ Runtime :
22.8 milliseconds→20.8 milliseconds(best of43runs)📝 Explanation and details
The optimized code achieves a 9% speedup by implementing import caching for the
Violinclass in theadd_violinmethod.Key optimization applied:
from plotly.graph_objs import Violinon every call, the code now caches the importedViolinclass as a class attributeFigure._violin_classusing a try/except patternWhy this optimization works:
Performance characteristics from test results:
add_violinis called repeatedly, showing 19.3% speedup for adding 100 violin tracesThis optimization is particularly effective for interactive plotting scenarios, dashboards, or any workflow that creates multiple violin plots programmatically.
✅ Correctness verification report:
🌀 Generated Regression Tests and Runtime
To edit these changes
git checkout codeflash/optimize-Figure.add_violin-mhfzmwetand push.