On Aug 10, 2013 12:50 PM, "Ralf Gommers" wrote:
>
>
>
>
> On Sat, Aug 10, 2013 at 5:21 PM, Andrew Dalke
wrote:
>>
>> [Short version: It doesn't look like my proposal or any
>> simple alternative is tenable.]
>>
>> On Aug 10, 2013, at 10:28 AM, Ralf Gommers wrote:
>> > It does break backwards comp
Dear Admin,
I found the the issue was a silly mistake of difference size
of array and now would like to withdraw this post. Is there a way to delete
this question.
with best regards,
Sudheer
>
> From: Sudheer Joseph
>To: Discussion of Numeri
On Sat, Aug 10, 2013 at 5:21 PM, Andrew Dalke wrote:
> [Short version: It doesn't look like my proposal or any
> simple alternative is tenable.]
>
> On Aug 10, 2013, at 10:28 AM, Ralf Gommers wrote:
> > It does break backwards compatibility though, because now you can do:
> >
> >import numpy a
I thought I should add the error I get too.
From: Sudheer Joseph
To: "numpy-discussion@scipy.org"
>Sent: Saturday, 10 August 2013 8:40 PM
>Subject: [Numpy-discussion] solving matrix
>
>
>
>Dear Experts,
>I am trying to write the below piece of matlab code to a python script. The
>objective of
[Short version: It doesn't look like my proposal or any
simple alternative is tenable.]
On Aug 10, 2013, at 10:28 AM, Ralf Gommers wrote:
> It does break backwards compatibility though, because now you can do:
>
>import numpy as np
>np.testing.assert_equal(x, y)
Yes, it does.
I realize
Dear Experts,
I am trying to write the below piece of matlab code to a python script. The
objective of the code is to find a fit of annual harmonic to a time series and
then remove it from the time series. It uses matlabs E\ts to find the
coefficients of harmonic fit, I used linlag.lstsq equival
On Wed, Aug 7, 2013 at 3:26 PM, Andrew Dalke wrote:
> On Aug 7, 2013, at 4:37 AM, Charles R Harris wrote:
> > I haven't forgotten and intend to look at it before the next release.
>
> Thanks!
>
> On a related topic, last night I looked into deferring the
> import for numpy.testing. This is the onl
On Sat, Aug 10, 2013 at 12:48 AM, David Reed wrote:
>
> 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
>
Hi David, your contribution looks good and adding nan
