On Mon, Jun 21, 2010 at 13:40, Vishal Rana <[email protected]> wrote:
> I have tried:
> x1=np.array([1,2,3,4])
> x2=np.array(['a','dd','xyz','12'])
> x3=np.array([1.1,2,3,4])
> r = np.core.records.fromarrays([x1,x2,x3],names='a,b,c'
Note, please do not reach down into numpy.core like this. Use
numpy.core.records is exposed as numpy.rec.
> type(r) gives <class 'numpy.core.records.recarray'>
> np.save('np.npy', r)
> r = np.load('np.npy')
> type(r) gives <type 'numpy.ndarray'>
> So my record is lost and converted to ndarray, any idea?
If you really need a recarray, then use r.view(numpy.rec.recarray).
--
Robert Kern
"I have come to believe that the whole world is an enigma, a harmless
enigma that is made terrible by our own mad attempt to interpret it as
though it had an underlying truth."
-- Umberto Eco
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