⚡️ Speed up function _parse_latex_table_styles by 36%
#387
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📄 36% (0.36x) speedup for
_parse_latex_table_stylesinpandas/io/formats/style_render.py⏱️ Runtime :
152 microseconds→112 microseconds(best of47runs)📝 Explanation and details
The optimization replaces
table_styles[::-1]withreversed(table_styles)in the loop iteration. This is a classic Python performance improvement that eliminates unnecessary memory allocation and copying.Key change: The slice operation
[::-1]creates a complete reversed copy of the list in memory, requiring O(n) time and space. Thereversed()built-in function returns an iterator that traverses the list backwards without creating a copy, using O(1) memory and minimal overhead.Why this leads to speedup:
reversed()iterator has very low per-iteration cost compared to list indexingPerformance impact based on test results:
The line profiler shows the loop initialization time decreased from 431μs to 393μs (9% improvement), and the total function runtime improved by 36%. This optimization is particularly valuable for styling operations in pandas DataFrames where table styles can contain hundreds of CSS rules, making the memory and time savings substantial in data processing pipelines.
✅ Correctness verification report:
⚙️ Existing Unit Tests and Runtime
io/formats/style/test_to_latex.py::test_parse_latex_table_styles🌀 Generated Regression Tests and Runtime
To edit these changes
git checkout codeflash/optimize-_parse_latex_table_styles-mio81xtaand push.