[Numpy-discussion] View on sliced array without copy

[Jaime Fernández del Río]

On Tue, Feb 12, 2013 at 9:53 AM, Nicolas Rougier
<Nicolas.Rougier@inria.fr>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 the release:

The ``.base`` attribute on ndarrays, which is used on views to ensure that
the
underlying array owning the memory is not deallocated prematurely, now
collapses out references when you have a view-of-a-view. For example::

    a = np.arange(10)
    b = a[1:]
    c = b[1:]

In numpy 1.6, ``c.base`` is ``b``, and ``c.base.base`` is ``a``. In numpy
1.7,
``c.base`` is ``a``.

Jaime

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