medium Error Handling

Safe CSV File Reader

The Brief

Build a function `safe_load_csv(path)` that loads a CSV file using pandas and returns the DataFrame. It must handle three error scenarios: file does not exist, file exists but is empty, and file exists but is not valid CSV. In each case it should print a clear message and return None instead of crashing. Demonstrate by trying to load a missing file then a valid one (use the in-memory string for the valid case).

Acceptance Criteria

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5 Catch pd.errors.ParserError and print a friendly message before returning None

1 Define a function called safe_load_csv that takes a path argument

7 Demonstrate calling the function with a path that does not exist (e.g. missing.csv) and confirm None is returned

6 On success return the DataFrame

8 Demonstrate writing a valid CSV string to a temp file and calling the function on it to confirm the DataFrame is returned

2 Inside the function use pd.read_csv wrapped in try/except

3 Catch FileNotFoundError and print a friendly message before returning None

4 Catch pd.errors.EmptyDataError and print a friendly message before returning None

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solution.py

Python 3

import pandas as pd

def safe_load_csv(path):
    pass

# Demonstrate with a missing file and with a valid CSV

Console