Efficient way to convert numpy record array to a list of dictionary

Question

How do I convert the numpy record array below:

recs = [('Bill', 31, 260.0), ('Fred', 15, 145.0)]
r = rec.fromrecords(recs, names='name, age, weight', formats='S30, i2, f4')

to a list of dictionary like:

[{'name': 'Bill', 'age': 31, 'weight': 260.0}, 
'name': 'Fred', 'age': 15, 'weight': 145.0}]

Answer 1

I am not sure there is built-in function for that or not, but following could do the work.

>>> [dict(zip(r.dtype.names,x)) for x  in r]
[{'age': 31, 'name': 'Bill', 'weight': 260.0}, 
{'age': 15, 'name': 'Fred', 'weight': 145.0}]

Answer 2

Answered at Numpy-discussion by Robert Kern