ENH: add per axis, per level indexing with tuples using loc

Selection only. Did not check (nor care) about performance at this point.
Full Tests, vbenches and docs to follow in due course.

Please hold off on PEP8 comments or suggestions on how this could be made more complex.
I'd like to get something functional, solid and understandable in master fairly early in 0.14. 

@jreback, I don't often wade this deep into the gore. Would welcome your review and suggestions.

Example of setting usage:
http://stackoverflow.com/questions/21539260/assign-to-multiindex-slice/21539479#21539479

xref: #5641, #3057, #4036, and others

```python
In [1]: 
   ...: def mklbl(prefix,n):
   ...:     return ["%s%s" % (prefix,i)  for i in range(n)]
   ...: 
   ...: ix =pd.MultiIndex.from_product([mklbl('A',5),mklbl('B',7),mklbl('C',4),mklbl('D',2)])
   ...: df=pd.DataFrame(range(len(ix.get_values())),index=ix)

In [5]: df
Out[5]: 
              0
A0 B0 C0 D0   0
         D1   1
      C1 D0   2
         D1   3
      C2 D0   4
         D1   5
      C3 D0   6
         D1   7
   B1 C0 D0   8
         D1   9
      C1 D0  10
         D1  11

```
```python
In [2]: df.loc[(slice('A1','A3'),slice(None), ['C1','C3']),:]
Out[2]: 
               0
A1 B0 C1 D0   58
         D1   59
      C3 D0   62
         D1   63
   B1 C1 D0   66
         D1   67
      C3 D0   70
         D1   71
   B2 C1 D0   74
         D1   75
      C3 D0   78
         D1   79
   B3 C1 D0   82
         D1   83
      C3 D0   86
         D1   87
   B4 C1 D0   90
         D1   91
      C3 D0   94
         D1   95
   B5 C1 D0   98
         D1   99
      C3 D0  102
         D1  103
   B6 C1 D0  106
         D1  107
      C3 D0  110
         D1  111
A2 B0 C1 D0  114
         D1  115
      C3 D0  118
         D1  119
   B1 C1 D0  122
         D1  123
      C3 D0  126
         D1  127
   B2 C1 D0  130
         D1  131
      C3 D0  134
         D1  135
             ...

[56 rows x 1 columns]
```