Dear Python and Numpy Users:
My data are in the form of '32-bit unsigned integer' as follows:
myData = np.array([1073741824, 1073741877, 1073742657, 1073742709,
1073742723, 1073755137, 1073755189,1073755969],dtype=np.int32)
I want to get the index of my data where the following occurs:
Bit No.
On Fri, Oct 17, 2014 at 10:56 PM, Stephan Hoyer wrote:
> Yesterday I created a GitHub issue proposing adding an axis argument to
> numpy's gufuncs:
> https://github.com/numpy/numpy/issues/5197
>
> I was told I should repost this on the mailing list, so here's the recap:
>
> I would like to write
Yesterday I created a GitHub issue proposing adding an axis argument to
numpy's gufuncs:
https://github.com/numpy/numpy/issues/5197
I was told I should repost this on the mailing list, so here's the recap:
I would like to write generalized ufuncs (probably using numba), to create
fast functions s
On 17 Oct 2014 02:38, "Benjamin Root" wrote:
>
> That isn't what I meant. Higher order doesn't "necessarily" mean more
accurate. The results simply have different properties. The user needs to
choose the differentiation order that they need. One interesting effect in
data assimilation/modeling is
I see this as a regression. We don't keep regressions around for backwards
compatibility, we fix them.
Ben
On Thu, Oct 16, 2014 at 10:25 PM, Matthew Brett
wrote:
> Hi,
>
> On Thu, Oct 16, 2014 at 6:38 PM, Benjamin Root wrote:
> > That isn't what I meant. Higher order doesn't "necessarily" mean
On Thu, Oct 16, 2014 at 10:50 PM, Nathaniel Smith wrote:
> On Fri, Oct 17, 2014 at 2:35 AM, wrote:
>> On Thu, Oct 16, 2014 at 3:39 PM, Nathaniel Smith wrote:
>>> On Thu, Oct 16, 2014 at 6:30 PM, Warren Weckesser
>>> wrote:
On Thu, Oct 16, 2014 at 12:40 PM, Nathaniel Smith wrote
Have you considered virtual environments?
http://docs.python-guide.org/en/latest/dev/virtualenvs/
Inside of each environment you can build a local python version and
packages with different versions through pip.
Maybe not exactly what you need help with but it is a good tool to have so
that you