DOC: Add comprehensive floating point precision documentation for CSV operations #62618
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… operations Addresses issue pandas-dev#13159 by adding detailed documentation about: - Why floating point precision loss occurs in CSV roundtrips - How to use float_format parameter to control precision - Format specifier reference (%.6f, %.10g, %.6e, etc.) - Best practices for different data types (scientific, financial) - Testing function to validate roundtrip precision - dtype preservation behavior Includes 6 working code examples with proper cleanup and comprehensive guidance for users experiencing CSV precision issues.
Removes trailing spaces that were causing pre-commit checks to fail.
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Thanks for the pull request, but it appears this issue was already claimed in #13159 (comment). Additionally, I suspect this PR was heavily AI generated which we disallow. So closing |
Thanks for the review. I understand and respect the policy on AI‑generated content and the note that this issue was already claimed. I’ll close out on my side and look for an unclaimed docs issue to tackle with a smaller, reviewer‑driven patch. Appreciate the guidance! |
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Closes #13159
Summary
This PR adds comprehensive documentation for floating point precision issues in CSV operations, addressing the documentation gap identified in issue #13159.
Changes
doc/source/user_guide/io.rstfloat_formatparameter with practical examplesExamples Added
Validation