Numexpr 2.2.2:  "could not operate with block values <...>" error
Under numexpr 2.2.2 (and for some reason that's the latest version available in the anaconda distribution at the moment), I get the following kind of errors:

``` python
>>> data.shape
(2, 219, 104, 6)
>>> data.dtype
dtype('float64')
>>> df = pd.Panel(data[0]).to_frame().reset_index()
>>> df[0].dtype
dtype('float64')
>>> df[0].count()
711
>>> df[0] + 1
TypeError: Could not operate 1 with block values using `oa_ndim == 0` when `op_axes` is NULL is 
deprecated. Use `oa_ndim == -1` or the MultiNew iterator for NumPy <1.8 compatibility
```

Looks like the same as [here](https://github.com/PyTables/PyTables/issues/259) and [here](https://groups.google.com/forum/#!topic/pydata/h4ww3t2hnCQ).

Upgrading to numexpr 2.3 solves it. Should v2.3 be then strictly required by pandas?
