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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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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