# ValueError: Unable to parse string "N/A" at position 3

- **ID:** `python/pandas-to-numeric-nonnumeric`
- **Domain:** python
- **Category:** data_error
- **Verification:** ai_generated
- **Fix Rate:** 80%

## Root Cause

pd.to_numeric hits non-numeric tokens without errors='coerce'.

## Version Compatibility

| Version | Status | Introduced | Deprecated |
|---------|--------|------------|------------|
| 3.x | active | — | — |

## Workarounds

1. **** (95% success)
   ```
   pd.to_numeric(s, errors='coerce').fillna(0)
   ```
2. **** (85% success)
   ```
   s.replace({'N/A': None, '-': None}).astype('Float64')
   ```

## Dead Ends

- **** — Other tokens ('-', 'null') still fail (80% fail)
- **** — Keeps object dtype; downstream numeric ops fail (70% fail)