gistfile1.py

import numpy as np

>>> np.__version__
'1.6.1'
>>> errno_distr =  # getter function call here
>>> type(errno_distr)
<type 'numpy.ndarray'>
>>> errno_distr
array([[     0.        ,  39597.        ,     99.99242424],
       [   104.        ,      1.        ,      0.00252525],
       [   110.        ,      2.        ,      0.00505051]])
>>> errno_distr.dtype
dtype('float64')
>>> errno_distr.shape
(3, 3)
>>> errno_distr[:,0]
array([   0.,  104.,  110.])  # this is what I what to get in errno_distr['code'] call
>>> errno_distr.dtype = [('code', float),('count', float),('percentage', float)]
>>> errno_distr.shape  # why shape changes? I no need that
(1, 3)
>>> errno_distr[:,0]
array([(0.0, 104.0, 110.0)],
      dtype=[('code', '<f8'), ('count', '<f8'), ('percentage', '<f8')])
>>> errno_distr['code']  # unexpected result (
array([[     0.        ,  39597.        ,     99.99242424]])