record array is made up of numpy.void, not numpy.record #3581
Description
I raised this previously on the PyTables issue list, but it they have asked me to transfer to numpy. (PyTables/PyTables#271)
>>> import numpy as np
>>> a = (1, 2, 3)
>>> ra = np.rec.fromrecords([a])
>>> na = np.array([a], dtype='i8,i8,i8').view(type=np.recarray)
>>> na
rec.array([(1, 2, 3)],
dtype=[('f0', '<i8'), ('f1', '<i8'), ('f2', '<i8')])
>>> ra
rec.array([(1, 2, 3)],
dtype=[('f0', '<i8'), ('f1', '<i8'), ('f2', '<i8')])
>>> type(ra)
<class 'numpy.core.records.recarray'>
>>> type(na)
<class 'numpy.core.records.recarray'>
>>> ra[0]
(1, 2, 3)
>>> na[0]
(1, 2, 3)
>>> type(ra[0])
<class 'numpy.core.records.record'>
>>> type(na[0])
<class 'numpy.void'>
Any reason why .view can't return record arrays instead of sort of fake record arrays, or voidarrays? Is there a cast missing in the code somewhere?