ERR: fail fast with non-supported dtypes on construction
#### Example Code

`print(pd.DataFrame({'a': np.zeros(1000, 'V4')}))`
#### Results

Non-deterministic behavior.  Sometimes you get all zeros, sometimes you get garbage like this:

```
                        a
0            [1, 0, 0, 0]
1            [0, 0, 0, 0]
2            [8, 0, 0, 0]
3            [0, 0, 0, 0]
4      [48, -92, 71, -60]
5        [-27, 127, 0, 0]
6            [5, 0, 0, 0]
7            [0, 0, 0, 0]
...
```

That is despite the fact that the bytes are actually all zero, and NumPy prints all rows as `[0, 0, 0, 0]`.

Sometimes when printing a wider DataFrame containing such a column, it segfaults with this stack trace:

```
#0  BYTE_copyswap (dst=0x7fffebdbe868, src=0x7fffe9f0d054, __NPY_UNUSED_TAGGEDswap=0, __NPY_UNUSED_TAGGEDarr=0x7fffea15f990)
    at numpy/core/src/multiarray/arraytypes.c.src:1911
#1  0x00007ffff5d82075 in PyArray_Scalar (data=0x7fffe9f0d054, descr=0x7fffea1612d0, base=<optimized out>) at numpy/core/src/multiarray/scalarapi.c:835
#2  0x00007ffff5d52df0 in array_item (self=0x7fffea15f990, i=<optimized out>) at numpy/core/src/multiarray/mapping.c:1371
```
#### Expected Output

All rows `[0, 0, 0, 0]` - just as NumPy prints it.
#### Output of `pd.show_versions()`

<details>
## INSTALLED VERSIONS

commit: None
python: 3.5.1
python-bits: 64
OS: Linux
OS-release: 3.13.0
machine: x86_64
processor: x86_64
byteorder: little
LC_ALL: None
LANG: en_US.UTF-8

pandas: 0.18.1
pip: 8.1.2
setuptools: 27.2.0
numpy: 1.11.1
</details>
