Francesc Altet wrote:
>>>>Timer("a=numpy.array(100,dtype=numpy.complex128)", "import
>>>>
>>>>
>numpy").repeat(3,10000)
>[0.19819307327270508, 0.14915895462036133, 0.14999985694885254]
>
>
>>>>Timer("a=numpy.array(10000,dtype=numpy.complex128)", "import
>>>>
>>>>
>numpy").repeat(3,10000)
>[0.15171599388122559, 0.14998698234558105, 0.14901280403137207]
>
>that is 15 us (in my old machine) irregardingly of the size.
>
>
Ummm.. You are not creating empty arrays here. You are creating a
0-d array with a single entry.
>[BTW, numpy.empty seems twice as slower in my machine. Why?
>
>
>>>>Timer("a=numpy.empty(10000,dtype=numpy.complex128)", "import
>>>>
>>>>
>numpy").repeat(3,10000)
>[0.37033700942993164, 0.31780219078063965, 0.31607294082641602]
>]
>
>
Now, you are creating an empty array with 10000 elements in it.
Best,
-Travis
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