gh-140677: Add heatmap output format to sampling profiler #140678
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Add --heatmap option to the sampling profiler that generates an HTML visualization showing line-by-line sample intensity with color coding. The heatmap shows the actual source code with lines colored from blue (few samples) to red (many samples), making it easy to identify hot loops, expensive operations, and unexpected bottlenecks within functions. This complements flamegraphs by providing line-level granularity that flamegraphs don't show. While flamegraphs show which functions are hot and their call relationships, heatmaps show which specific lines within those functions are the bottlenecks. Features: - Color-coded source code (blue to red gradient) - Line numbers and sample counts - Collapsible file sections - Dark theme matching modern editors - Standalone HTML output - Log-scale color normalization Usage: python -m profiling.sampling --heatmap script.py python -m profiling.sampling --heatmap -o results.html -p 1234 Fixes pythongh-140677
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Sorry @ThierryMT but this PR has several problems:
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Fixes #140677
This PR adds a
--heatmapoutput format to the sampling profiler that generates an HTML visualization showing line-by-line sample intensity with color coding.Problem:
Flamegraphs show which functions are hot and how they're called, but they don't show which lines within a function are the bottlenecks.
Solution:
The heatmap shows the actual source code with lines colored from blue (few samples) to red (many samples), making it easy to identify hot loops, expensive operations, and unexpected bottlenecks within functions.
Features:
Usage:
Files Changed:
Lib/profiling/sampling/heatmap_collector.py(new)Lib/profiling/sampling/__init__.pyLib/profiling/sampling/sample.py