TypeError: mean() got an unexpected keyword argument 'dtype'
Numpy 1.8 API change in mean?

```
/home/data/flash_supression/yarik/scripts/utils.pyc in paired_t_anal(d, value, testcol, rows, cols, print_pt, plots, aggfunc)
    162     pvalues = np.array(pvalues, ndmin=1)
    163 
--> 164     pt_paired_t = DataFrame(np.array([np.mean(v0, axis=0),
    165                                       np.mean(v1, axis=0),
    166                                       np.mean(v10, axis=0),

/usr/lib/pymodules/python2.7/numpy/core/fromnumeric.pyc in mean(a, axis, dtype, out, keepdims)
   2481         try:
   2482             mean = a.mean
-> 2483             return mean(axis=axis, dtype=dtype, out=out)
   2484         except AttributeError:
   2485             pass

TypeError: mean() got an unexpected keyword argument 'dtype'
```

complete "line" calling this is

```
    pt_paired_t = DataFrame(np.array([np.mean(v0, axis=0),
                                      np.mean(v1, axis=0),
                                      np.mean(v10, axis=0),
                                      tvalues, pvalues]),
                            index=Index(['mean(%s)' % lvalues[0],
                                         'mean(%s)' % lvalues[1],
                                         'mean effect',
                                         't-score', 'p-value'],
                                        name=contrast_s),
                            columns = columns)

```

it used to work before ... did not check for sure yet though if it is pandas or recent numpy upgrade (if I did any)

more information:

```
ipdb> print a.mean
<bound method DataFrame.mean of cond                full   profile
subject                           
01jul10sc.dat   1.572131  1.569658
01oct10cs.dat   1.491370  1.678300
...
```

and if to provide ndarray compatibility here then interface should match numpy's where dtype is a valid argument to mean
