ENH: Handle for current DataFrame in pd.query expression
#### Is your feature request related to a problem?

I use `pd.query` and `pd.eval` a lot. However, sometimes I find myself in situations where I would like to filter an unnamed DataFrame with `pd.query` and it would be very handy if there was a handle for the DataFrame available in the query expression. 

#### Describe the solution you'd like

For sake of an example, consider this DataFrame:
```python
>>> df = pd.DataFrame(
        data=np.arange(20).reshape(5, 4),
        columns=pd.MultiIndex.from_product([['A', 'B'], ['x', 'y']]))
>>> df
    A       B    
    x   y   x   y
0   0   1   2   3
1   4   5   6   7
2   8   9  10  11
3  12  13  14  15
4  16  17  18  19
```
In order to get all `y` columns with values above `10`, I would like to use something like
```python
df.loc[:, (slice(None), 'y')].query('(PLACEHOLDER > 10).any(1)')
```
The placeholder could be a symbol like `#` or simply nothing (i.e. one would write `df.loc[:, (slice(None), 'y')].query('(> 10).any(1)')`), but this would be harder to implement I guess. 

#### API breaking implications

I don't think that this would break anything as it is just the addition of a feature. 

#### Describe alternatives you've considered

I know that what I wanted to do in my example can be achieved in multiple other ways. However, most of them are neither as concise nor as flexible as simply being able to access the current DataFrame in the query expression. 
