[Python] `pyarrow.Table` equality comparison behavior is unexpected

### Describe the bug, including details regarding any error messages, version, and platform.

```python
>>> table = pa.Table.from_pydict({"foo": [float("nan")]})
>>> table.equals(table)
True
```

```python
>>> table_1 = pa.Table.from_pydict({"foo": [float("nan")]})
>>> table_2 = pa.Table.from_pydict({"foo": [float("nan")]})
>>> table_1.equals(table_2)
False
```

This seems... surprising to me. If the NaN comparison is the arrays always results in `False` then it is surprising that the first result is `True`.

### Component(s)

Python