Error Handling
Error Handling
Common Errors
| Error | Cause | Solution |
|---|---|---|
FileNotFoundError |
Data file missing | Verify data path is correct |
KeyError |
Column not in DataFrame | Check column names match config |
ValueError |
Data type mismatch | Convert types before plotting |
Empty figure |
No data after filtering | Validate data before visualization |
Error Template
def safe_generate_report(data_path: str, output_path: str, config: dict) -> dict:
"""Generate report with error handling."""
try:
# Validate data exists
if not Path(data_path).exists():
return {'status': 'error', 'message': f'Data file not found: {data_path}'}
# Load and validate
df = pd.read_csv(data_path)
*See sub-skills for full details.*