Keith Goodman wrote:
> On Thu, Jul 22, 2010 at 7:48 AM, Warren Weckesser
> <warren.weckes...@enthought.com> wrote:
>
>
>> Actually, because of the use of reshape(3,3,4), your second
>> example does make a copy.
>>
>
> When does reshape return a view and when does it return a copy?
>
>
According to the numpy.reshape docstring, it returns
a view when it can. In the previous example, it is
not possible to configure the strides so that the
four elements in each 2x2 block can be represented
in a single axis using the original memory layout,
so the data must be copied to achieve the shape
(3,3,4).
> Here's a simple example that returns a view:
>
>
>>> x = np.array([1,2,3,4])
>>> y = x.reshape(2,2)
>>> y[0,0] = 9
>>> x
>>>
> array([9, 2, 3, 4])
>
> What's a simple example that returns a copy?
>
In [85]: x = np.array([[1,2],[3,4],[5,6]]).T # Note the transpose.
In [86]: x
Out[86]:
array([[1, 3, 5],
[2, 4, 6]])
In [87]: y = x.reshape(6)
In [88]: x[0,1] = 99
In [89]: y
Out[89]: array([1, 3, 5, 2, 4, 6])
Warren
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