When you download numpy, it should be in doc/swig/numpy.i
On Feb 26, 2011, at 6:15 PM, Brandt Belson wrote:
> I just want to know exactly how to get the file numpy.i (for SWIG), I've come
> across links that seem to take me nowhere.
> Thank you.
** Bill Spotz
I just want to know exactly how to get the file numpy.i (for SWIG), I've
come across links that seem to take me nowhere.
Thank you.
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Den 26.02.2011 16:09, skrev Jaidev Deshpande:
> Hi
>
> How can I know the size of the largest possible 2-D array in numpy,
> given a specific 'dtype' and my system memory?
>
The largest array size is not dicatated by system memory but virtual memory.
On Windws the available virtual address space
Hi
How can I know the size of the largest possible 2-D array in numpy, given a
specific 'dtype' and my system memory?
How can one play around with this? Would it help to note that the array
might be say *m* megabytes on disk, say, *n* % sparse?
Also, is there some good literature about the large
Hi Folks
How recreated a integer list with generator?
import random
tmp = []
for x in range(0,600):
tmp.append(random.randint(0,5000))
tmp = list(set(tmp))
tmp.sort()
Should be possible recreated this list using same magic math formula
or numpy array?
Can I create a generator? How?
Wh
Hello,
I have a n dimensional grid. The grids axes are linear but not
intergers. Let's say I want the value in gridcell [3.2,-5.6,0.01]. Is
there an easy way to transform the index? Do I have to write my own
class to accomplish this. Is there an easy way in numpy to accomplish
this. Can I give
