On 2009-07-18, David Cournapeau wrote:
> On Fri, Jul 17, 2009 at 4:11 AM, Pauli Virtanen wrote:
[clip]
>> Yeah, currently there's no way to do that. I can probably add
>> numpy*function/cfunction/... etc. directives that allow this.
>>
>> An alternative is to use
>>
>> .. rubric:: Notes
>>
Hi,
Sorry, I've been away in Oregon...
The result isn't quite the same. The arrays must be in the range [0,1], so
I just have it divide x3 and y. I also have it add 1 to size[1], as I
realized that was also necessary for that behavior:
x = np.arange(size[0])
x2 = np.column_stack([x,x+1]).resha
On Fri, Jul 17, 2009 at 4:11 AM, Pauli Virtanen wrote:
> On 2009-07-16, David Cournapeau wrote:
>> Hi Pauli,
>>
>> On Sat, Jul 4, 2009 at 9:59 PM, Pauli Virtanen wrote:
>>> Hi,
>>>
>>> When you add new functions to Numpy, please include
>>>
>>> .. versionadded:: 1.4.0
>>
>> What is the best way