sorry, i'm new to the list, and if this is a frequently asked question, please point me in the right direction.
say, for some reason i've got two numpy structure arrays that both contain the same fields with the same types but in a different order, is there a simple way to convert one to the other type?
i'd have thought that astype() might do the job, but it seems to ignore the field names entirely, thus values are lost in the following transcript:
t1 = np.dtype([('foo', np.float64), ('bar', '?')]) t2 = np.dtype([('bar', '?'), ('foo', np.float64)]) a1 = np.array([(123, False), (654, True)], dtype=t1) a1.astype(t2)
array([(True, 0.0), (True, 1.0)], dtype=[('bar', '|b1'), ('foo', '<f8')])
thanks for any help,