On Sat, Sep 17, 2011 at 22:11, Bruce Southey wrote:
> On Sat, Sep 17, 2011 at 10:00 PM, Wes McKinney wrote:
>> On Sat, Sep 17, 2011 at 10:50 PM, Bruce Southey wrote:
>>> On Sat, Sep 17, 2011 at 4:12 PM, Wes McKinney wrote:
On Sat, Sep 17, 2011 at 4:48 PM, Skipper Seabold
wrote:
On Sat, Sep 17, 2011 at 10:00 PM, Wes McKinney wrote:
> On Sat, Sep 17, 2011 at 10:50 PM, Bruce Southey wrote:
>> On Sat, Sep 17, 2011 at 4:12 PM, Wes McKinney wrote:
>>> On Sat, Sep 17, 2011 at 4:48 PM, Skipper Seabold
>>> wrote:
Just ran into this. Any objections for having numpy.std an
On Sat, Sep 17, 2011 at 10:50 PM, Bruce Southey wrote:
> On Sat, Sep 17, 2011 at 4:12 PM, Wes McKinney wrote:
>> On Sat, Sep 17, 2011 at 4:48 PM, Skipper Seabold wrote:
>>> Just ran into this. Any objections for having numpy.std and other
>>> functions in core/fromnumeric.py call asanyarray befo
On Sat, Sep 17, 2011 at 21:50, Bruce Southey wrote:
> numpy.std() does accepts array-like which obvious means that
> np.std([1,2,3,5]) works making asanyarray call a total waste of cpu
> time. Clearly pandas is not array-like input (as Wes points out below)
> so an error is correct.
No. Even li
On Sat, Sep 17, 2011 at 4:12 PM, Wes McKinney wrote:
> On Sat, Sep 17, 2011 at 4:48 PM, Skipper Seabold wrote:
>> Just ran into this. Any objections for having numpy.std and other
>> functions in core/fromnumeric.py call asanyarray before trying to use
>> the array's method? Other data structures
On Sat, Sep 17, 2011 at 8:36 PM, wrote:
> On Sat, Sep 17, 2011 at 5:12 PM, Wes McKinney wrote:
>> On Sat, Sep 17, 2011 at 4:48 PM, Skipper Seabold wrote:
>>> Just ran into this. Any objections for having numpy.std and other
>>> functions in core/fromnumeric.py call asanyarray before trying to u
On Sat, Sep 17, 2011 at 5:12 PM, Wes McKinney wrote:
> On Sat, Sep 17, 2011 at 4:48 PM, Skipper Seabold wrote:
>> Just ran into this. Any objections for having numpy.std and other
>> functions in core/fromnumeric.py call asanyarray before trying to use
>> the array's method? Other data structures
I think this sounds like a great idea. The lowest level that makes sense is
the correct place for them.
-Travis
On Sep 17, 2011, at 1:52 PM, Charles R Harris wrote:
> Hi All,
>
> I'd like to start a discussion about modifications to lstsq to accommodate
> the new masked arrays and move
On Sat, Sep 17, 2011 at 4:48 PM, Skipper Seabold wrote:
> Just ran into this. Any objections for having numpy.std and other
> functions in core/fromnumeric.py call asanyarray before trying to use
> the array's method? Other data structures like pandas and larry define
> their own std method, for i
Just ran into this. Any objections for having numpy.std and other
functions in core/fromnumeric.py call asanyarray before trying to use
the array's method? Other data structures like pandas and larry define
their own std method, for instance, and this doesn't allow them to
pass through. I'm incline
On Sat, Sep 17, 2011 at 1:40 PM, wrote:
> On Sat, Sep 17, 2011 at 2:52 PM, Charles R Harris
> wrote:
> > Hi All,
> >
> > I'd like to start a discussion about modifications to lstsq to
> accommodate
> > the new masked arrays and move weights, scaling, and covariance
> > determination down to a lo
On Sat, Sep 17, 2011 at 2:52 PM, Charles R Harris
wrote:
> Hi All,
>
> I'd like to start a discussion about modifications to lstsq to accommodate
> the new masked arrays and move weights, scaling, and covariance
> determination down to a lower common level. This is motivated by Travis'
> recent ch
2011/9/17 Stéfan van der Walt
> On Sat, Sep 17, 2011 at 9:40 AM, Charles R Harris
> wrote:
> > The Vandermonde matrix needs to be used for the fitting so nothing should
> be
> > changed there.
>
> I remember now where I heard this:
>
> http://people.maths.ox.ac.uk/trefethen/mythstalk.pdf
>
> Spe
On Sat, Sep 17, 2011 at 9:40 AM, Charles R Harris
wrote:
> The Vandermonde matrix needs to be used for the fitting so nothing should be
> changed there.
I remember now where I heard this:
http://people.maths.ox.ac.uk/trefethen/mythstalk.pdf
Specifically, the statement: "Some well-known algorith
Hi All,
I'd like to start a discussion about modifications to lstsq to accommodate
the new masked arrays and move weights, scaling, and covariance
determination down to a lower common level. This is motivated by Travis'
recent changes to polyfit as well as my own various polynomial fits that
also
On Sat, Sep 17, 2011 at 10:40 AM, Charles R Harris <
charlesr.har...@gmail.com> wrote:
>
>
> 2011/9/14 Stéfan van der Walt
>
>> Hi all,
>>
>> There were some failures in the polynomial tests earlier today, and
>> while investigating I saw that numpy.ma implements its own root
>> finder. It uses
2011/9/14 Stéfan van der Walt
> Hi all,
>
> There were some failures in the polynomial tests earlier today, and
> while investigating I saw that numpy.ma implements its own root
> finder. It uses inversion of a Van der Monde matrix, which I believe
> may suffer from some numerical instability pr
Thanks.
I just uploaded it to pypi.
Nicolas
On Sep 16, 2011, at 22:21 , Samuel John wrote:
> Hi Nicolas,
>
> that looks great.
> Could you make this available such that `pip install glumpy` would work?
>
> cheers,
> Samuel
>
> ___
> NumPy-Discussi
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