I can see several columns (fields) at once in a numpy structured array by indexing with a list of the field names, for example
fields
numpy
import n
Building on @HYRY's answer, you could also use ndarray's method getfield:
ndarray
getfield
def fields_view(array, fields): return array.getfield(numpy.dtype( {name: array.dtype.fields[name] for name in fields} ))