Partial indexing of a Panel
See also: http://stackoverflow.com/questions/26736745/indexing-a-pandas-panel-counterintuitive-or-a-bug

These are actually two related(?) issues.
The first is that the DataFrame is transposed, when you index the major_indexer or minor_indexer:

```
from pandas import Panel
from numpy import arange
p = Panel(arange(24).reshape(2,3,4))
p.shape
Out[4]: (2, 3, 4)
p.iloc[0].shape # original order
Out[5]: (3, 4)
p.iloc[:,0].shape # I would expect (2,4), but it is transposed
Out[6]: (4, 2)
p.iloc[:,:,0].shape # also transposed
Out[7]: (3, 2)
p.iloc[:,0,:].shape # transposed (same as [6])
Out[8]: (4, 2)
```

This may be a design choice, but it seems counterintuitive to me and it is not in line with the way numpy indexing works.
On a related note, I would expect the following two commands to be equivalent:

```
p.iloc[1:,0,:].shape # Slicing item_indexer, then transpose
Out[9]: (4, 1)
p.iloc[1:,0].shape # Expected to get the same as [9], but slicing minor_indexer instead????
Out[10]: (3, 2)
```
## INSTALLED VERSIONS

commit: None
python: 2.7.6.final.0
python-bits: 64
OS: Windows
OS-release: 7
machine: AMD64
processor: Intel64 Family 6 Model 42 Stepping 7, GenuineIntel
byteorder: little
LC_ALL: None
LANG: nl_NL

pandas: 0.15.1
nose: 1.3.3
Cython: 0.20.1
numpy: 1.9.1
scipy: 0.14.0
statsmodels: 0.5.0
IPython: 2.2.0
sphinx: 1.2.2
patsy: 0.2.1
dateutil: 1.5
pytz: 2014.9
bottleneck: None
tables: 3.1.1
numexpr: 2.3.1
matplotlib: 1.4.2
openpyxl: 1.8.5
xlrd: 0.9.3
xlwt: 0.7.5
xlsxwriter: 0.5.5
lxml: 3.3.5
bs4: 4.3.1
html5lib: None
httplib2: None
apiclient: None
rpy2: None
sqlalchemy: 0.9.4
pymysql: None
psycopg2: None
