Why split(',') Breaks CSV — and a Parser That Doesn't

📰 Dev.to · Devanshu Biswas

Learn why simply splitting a CSV string by comma can lead to incorrect results and how to use a proper parser to avoid this issue

intermediate Published 26 Jun 2026
Action Steps
  1. Identify situations where CSV values may contain commas
  2. Use a CSV parsing library like pandas in Python or csv-parser in Node.js to handle such cases
  3. Configure the parser to handle edge cases like quoted values or newline characters
  4. Test the parser with sample CSV data containing commas in values
  5. Apply the parser to your actual CSV data to ensure accurate results
Who Needs to Know This

Developers working with CSV data, especially those handling user-input or complex datasets, can benefit from understanding the limitations of simple comma splitting and using a reliable parser instead

Key Insight

💡 Simple comma splitting can lead to incorrect CSV parsing results when values contain commas, use a proper parser to handle such cases

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🚨 Don't just split(',')! CSV parsing can be tricky, use a reliable parser to avoid errors 📊

Full Article

"Just split(',') it." Famous last words. CSV is deceptively hard the moment a value contains a comma....
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