Hi,
* Matthew Brett [2013-08-10]:
> On Fri, Aug 9, 2013 at 3:17 PM, Robert Kern wrote:
> > On Fri, Aug 9, 2013 at 11:06 PM, Valentin Haenel wrote:
> >> I have a quick question: Is there a way to get a list of all available
> >> Numpy integer dtypes programatically?
> >
> > [~]
> > |8> def all_d
Hello,
This is my first time contributing and I was hoping to get a review of a change
I made. Here is the comparison link.
https://github.com/dvreed77/numpy/compare/nanmean
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Hi,
On Fri, Aug 9, 2013 at 3:17 PM, Robert Kern wrote:
> On Fri, Aug 9, 2013 at 11:06 PM, Valentin Haenel wrote:
>>
>> Hi,
>>
>> I have a quick question: Is there a way to get a list of all available
>> Numpy integer dtypes programatically?
>
> [~]
> |8> def all_dtypes(cls):
> ..> for sub in
On Fri, Aug 9, 2013 at 11:06 PM, Valentin Haenel wrote:
>
> Hi,
>
> I have a quick question: Is there a way to get a list of all available
> Numpy integer dtypes programatically?
[~]
|8> def all_dtypes(cls):
..> for sub in cls.__subclasses__():
..> try:
..> sub(0)
..>
Hi,
I have a quick question: Is there a way to get a list of all available
Numpy integer dtypes programatically?
thanks,
V-
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Hi list,
Just a quick heads up: on Python Anaconda 3.3.2 np.load leads to a
segfault. I am not on a computer for a week, but I saw that just before
leaving. If I remember right, it is a simple matter of doing:
a = np.zeros(10)
np.save('a.npy', a)
np.load('a.npy')
I haven't submitted a bug report
Hello All,
I am pleased to announce the latest the latest and greatest release of
xdress, which incorporates a lot of feedback received at SciPy 2013.
Please see the release notes below for more information.
And a HUGE congratulations to the IPython team on their v1.0 release today!
Please cont
