Players Not Recruited by Coach #4

Problem

DataFrame: `player` (`player.csv`)

```text
+--------------+--------+
| Column | Type |
+--------------+--------+
| player_id | int |
| player_name | object |
| recruiter_id | float |
+--------------+--------+
player_id uniquely identifies each player. recruiter_id holds the player_id of whoever recruited this player, or is empty (NaN) when the player joined on their own.
```

Return the `player_name` of every player who is **either** recruited by someone whose id is **not** `4`, **or** was not recruited by anyone at all (a missing recruiter). Return the rows in any order.

**Example**

Input — `player`:

```text
player_id player_name recruiter_id
1 Mira NaN
4 Sol NaN
2 Ravi 4.0
3 Toni 1.0
5 Uri 4.0
```

Output:

```text
player_name
Mira
Sol
Toni
```

Ravi and Uri were recruited by player 4, so they are excluded.

Input data

Example rows — the live problem includes the full dataset.

Expected output

Your answer should return 3 rows with the columns player_name.

Starter code (Pandas (Python))

import pandas as pd

def players_not_recruited_by_four(player: pd.DataFrame) -> pd.DataFrame:
    # Your code here
    return player

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