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When using csv.DictReader to read a CSV file, what type of object does each row represent?

easy🧠 Conceptual Q1 of Q15
Python - Structured Data Files
When using csv.DictReader to read a CSV file, what type of object does each row represent?
AA dictionary mapping column headers to their corresponding values
BA list of values without headers
CA tuple containing all row values
DA string representing the entire row
Step-by-Step Solution
Solution:

  1. Step 1: Understand csv.DictReader

    csv.DictReader reads CSV rows as dictionaries where keys are column headers.

  2. Step 2: Check row representation

    Each row is returned as a dictionary mapping header names to their corresponding cell values.

  3. Final Answer:

    A dictionary mapping column headers to their corresponding values -> Option A

  4. Quick Check:

    Row is a dict, not list or tuple [OK]
Quick Trick: csv.DictReader rows are dicts keyed by headers [OK]
Common Mistakes:
MISTAKES
  • Assuming rows are lists instead of dicts
  • Thinking rows are tuples or strings

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