I did not know that. Thanks for the clear explanation.
Nicolas
On Feb 12, 2013, at 19:25 , Jaime Fernández del Río wrote:
> On Tue, Feb 12, 2013 at 9:53 AM, Nicolas Rougier
> wrote:
> Did I do something wrong or is it expected behavior ?
>
> Try:
>
> print (Z.view('f4'))[:50].base.base is
On Tue, Feb 12, 2013 at 9:53 AM, Nicolas Rougier
wrote:
> Did I do something wrong or is it expected behavior ?
>
Try:
print (Z.view('f4'))[:50].base.base is Z # True
print Z[:50].view('f4').base.base is Z # True
This weird behaviour is fixed in the just-released numpy 1.7. From the
notes of
Hi,
I'm trying to get a view on a sliced array without copy but I'm not able to do
it as illustrated below:
dtype = np.dtype( [('color', 'f4', 4)] )
Z = np.zeros(100, dtype=dtype)
print Z.view('f4').base is Z# True
print Z[:50].base is Z # True
print (Z.view('f4'))[:50]
