Python - Structured Data Files
You have a CSV file with columns 'Name', 'Age', and 'City'. How can you read this file and create a list of dictionaries where each dictionary represents a row with keys as column names?
You have a CSV file with columns 'Name', 'Age', and 'City'. How can you read this file and create a list of dictionaries where each dictionary represents a row with keys as column names?
hard📝 Application Q8 of 15
Step-by-Step Solution
Solution:
Step 1: Understand csv.DictReader usage
csv.DictReader reads CSV rows as dictionaries using header row as keys.Step 2: Identify best method for dictionary list
Using csv.DictReader directly creates list of dicts without manual mapping.Final Answer:
Use csv.DictReader to read the file and convert rows to dictionaries -> Option DQuick Check:
csv.DictReader = dict rows from CSV [OK]
Quick Trick: csv.DictReader reads CSV rows as dictionaries [OK]
Common Mistakes:
- Using csv.reader and manually creating dicts
- Opening file in write mode when reading
- Parsing CSV as plain text instead of using csv module
Master "Structured Data Files" in Python
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