On 15.12.2014 01:40, Stefan van der Walt wrote:
> On 2014-12-15 02:23:18, Julian Taylor wrote:
>> already exists as np.errstate:
>>
>> with np.errstate(divide='ignore'):
>
> With 'ignore' a warning is still raised--is this by choice?
>
import numpy as np
x = np.array([0, 1, 2.])
w
On 2014-12-15 02:23:18, Julian Taylor wrote:
> already exists as np.errstate:
>
> with np.errstate(divide='ignore'):
With 'ignore' a warning is still raised--is this by choice?
>>> import numpy as np
>>> x = np.array([0, 1, 2.])
>>> with np.errstate(divide='ignore'):
... x/x
...
__main__:2:
On 2014-12-15 02:23:18, Julian Taylor wrote:
> with np.errstate(divide='ignore'):
Perfect, thanks!
Stéfan
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15.12.2014, 02:12, Stefan van der Walt kirjoitti:
> Since the topic of context managers recently came up, what do you think
> of adding a context manager for seterr?
>
> with np.seterr(divide='ignore'):
> frac = num / denom
There's this:
with np.errstate(divide='ignore'):
...
___
On 15.12.2014 01:12, Stefan van der Walt wrote:
> Hi all,
>
> Since the topic of context managers recently came up, what do you think
> of adding a context manager for seterr?
>
> with np.seterr(divide='ignore'):
> frac = num / denom
>
already exists as np.errstate:
with np.errstate(divid
Hi all,
Since the topic of context managers recently came up, what do you think
of adding a context manager for seterr?
with np.seterr(divide='ignore'):
frac = num / denom
Stéfan
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Also see
https://code.google.com/p/upfirdn/source/browse/upfirdn/Resampler.i
On Sun, Dec 14, 2014 at 12:52 PM, Tom Krauss
wrote:
>
> I know this is a month old at this point, but I wanted to state that I use
> std::complex with swig all the time and it works great. I have very
> similar code i
I know this is a month old at this point, but I wanted to state that I use
std::complex with swig all the time and it works great. I have very
similar code in each of my project's ".i" files, so I am happy to see you
are adding support to numpy.i.
E.g.
%numpy_typemaps(std::complex, NPY_CDOUBLE, in
On Sun, 14 Dec 2014 12:52:03 +0100
"Nicolas P. Rougier" wrote:
>
> Thanks Jérôme, I will look into your code. Having other filter might be
> useful for my case.
>
> While looking for code, I've also found this (pure python) implementation:
> http://stackoverflow.com/questions/12729228/simple-e
Thanks Jérôme, I will look into your code. Having other filter might be useful
for my case.
While looking for code, I've also found this (pure python) implementation:
http://stackoverflow.com/questions/12729228/simple-efficient-bilinear-interpolation-of-images-in-numpy-and-python
Nicolas
> O
On Sat, 13 Dec 2014 16:53:06 +0100
"Nicolas P. Rougier" wrote:
>
> Hi all,
>
> Does anyone has a simple 2D linear interpolation for resizing an image
> (without scipy) ?
>
> Ideally, something like ```def zoom(Z, ratio): ...``` where Z is a 2D scalar
> array and ratio the scaling factor.
> (
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