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CSV Without Column Names/Schema - how to read

SQLeasy0.1 min readPremium
Frequency
Low
Asked at 1 company
Category
487
questions in SQL
Difficulty Split
130E|271M|86H
in this category
Total Bank
1,863
across 7 categories
Asked at these companies
LTIMindtree
Key Concepts Tested
spark
Expert AnswerPremium
22 wordsInterview-ready
**Pandas:** header=None, names=['a','b','c']. **PySpark:** option('header','false'), schema or inferSchema. **Validate:** Check column count. Infer types cautiously. pd.read_csv('file.csv', header=None, names=['a','b','c']) spark.read.option('header','false').schema('a INT, b STRING').csv('file.csv')
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