Hi,
I'm trying to build-up numpy arrays coming from buffers, and I'm getting a
somewhat unexpected result.
First, for numeric values, everything seems ok (i.e. the NULL character is
correctly interpretated), and works equally for both numarray and numpy:
In [98]: numarray.array("a\x00b"*4, dtype='Float32',shape=3)
Out[98]: array([ 2.60561966e+20, 8.94319890e-39, 5.92050103e+20],
type=Float32)
In [99]: numpy.ndarray(buffer="a\x00b"*4, dtype='Float32',shape=3)
Out[99]: array([ 2.60561966e+20, 8.94319890e-39, 5.92050103e+20],
dtype=float32)
However, for string values, numpy seems to work in a strange way.
The numarray have an expected behaviour, IMO:
In [100]: numarray.strings.array(buffer="a\x00b"*4, itemsize=4, shape=3)
Out[100]: CharArray(['a', '', 'ba'])
but numpy haven't:
In [101]: numpy.ndarray(buffer="a\x00b"*4, dtype="S4", shape=3)
Out[101]:
array([aba, ba, bab],
dtype='|S4')
i.e. it seems like numpy is striping-off NULL chars before building the object
and I don't think this is correct.
Cheers,
--
>0,0< Francesc Altet http://www.carabos.com/
V V Cárabos Coop. V. Enjoy Data
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