[Numpy-discussion] Accessing data buffers in numpy scalars

[Francesc A. <fa...@ca...>]

Hi,

I'm looking for an easy way to access the data area of the numpy scalars no=
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matter its type.  I've seen that numpy/arrayscalars.h define a structure fo=
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each scalar type, so I'd guess that it will not be possible to find a gener=
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way for accessing the data buffer for each type. So, I've decided to look f=
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a workaround and I've devised a couple of possibilities:

1.- Promote the scalar type to a ndarray object and use the regular ndarray=
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structure to access the data buffer.

2.- Fetch the buffer in scalartype.data and use the buffer protocol in orde=
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to access the pointer to data in memory. However, I lack experience in buff=
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protocol, so suggestions for achieving this are welcome.

If there is some other trivial way that I haven't devised (specially if usa=
ble=20
from pyrex), please tell me about.

TIA,

=2D-=20
>0,0<   Francesc Altet =A0 =A0 http://www.carabos.com/
V   V   C=E1rabos Coop. V. =A0=A0Enjoy Data
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