Dear all,
I am new to this list and still consider myself a python newby even
though I have worked with it for almost two years now. My question may be a
bit academic (because there is numpy.genfromtext and
matplotlib.mlab.csv2rec), yet it caused me quite a bit of searching before I
found out
On Fri, Oct 19, 2012 at 9:34 PM, Thouis (Ray) Jones wrote:
> On Fri, Oct 19, 2012 at 4:46 PM, Thouis (Ray) Jones wrote:
>> On Fri, Oct 19, 2012 at 11:20 AM, Thouis (Ray) Jones
>> wrote:
>>> I started the import with the oldest 75 and newest 125 Trac issues,
>>> and will wait a few hours to do t
In this case, I would say a note in the documentation would be in
order, remarking the fact that this default is not what other packages
take as default.
On Mon, Oct 22, 2012 at 10:16 PM, Jason Grout
wrote:
> On 10/22/12 3:08 PM, Robert Kern wrote:
>>
>> http://mail.scipy.org/pipermail/numpy-disc
On 10/22/12 3:08 PM, Robert Kern wrote:
>
> http://mail.scipy.org/pipermail/numpy-discussion/2006-March/019194.html
>
Ah, so it was basically speed that was the issue.
I won't push this further. I'll just note that I was confused for a
bit, and I probably won't be the last person confused about
On 10/22/12 3:03 PM, Pauli Virtanen wrote:
> Jason Grout creativetrax.com> writes:
> [clip]
>> I think we've established that the other software mentioned does indeed
>> use the spectral norm by default. I'm still curious: what was the
>> reason for breaking with the norm (pun intended :)? Any c
On Mon, Oct 22, 2012 at 9:03 PM, Pauli Virtanen wrote:
> Jason Grout creativetrax.com> writes:
> [clip]
>> I think we've established that the other software mentioned does indeed
>> use the spectral norm by default. I'm still curious: what was the
>> reason for breaking with the norm (pun intend
Jason Grout creativetrax.com> writes:
[clip]
> I think we've established that the other software mentioned does indeed
> use the spectral norm by default. I'm still curious: what was the
> reason for breaking with the norm (pun intended :)? Any chance that in
> a (probably far distant) future
On 10/22/12 10:44 AM, Jason Grout wrote:
> I'm curious why scipy/numpy defaults to calculating the Frobenius norm
> for matrices [1], when Matlab, Octave, and Mathematica all default to
> calculating the induced 2-norm [2]. Is it solely because the Frobenius
> norm is easier to calculate, or is th
Sorry for the noise. Using curl to directly grab the file (instead of
copying from another machine) does the trick.
-paul
On Mon, Oct 22, 2012 at 9:50 AM, Paul Hobson wrote:
> On Fri, Oct 19, 2012 at 9:10 AM, Travis Oliphant wrote:
>> I just wanted to let everyone know about our new release of A
On Fri, Oct 19, 2012 at 9:10 AM, Travis Oliphant wrote:
> I just wanted to let everyone know about our new release of Anaconda which
> now has Spyder and Matplotlib working for Mac OS X and Windows.
>
> [snip]
> For more information, to download a trial version of Anaconda Pro, or
> download the c
matlab default is the 2-norm.
norm(X) is equivalent to norm(X,2)
norm(X,'fro') is the frobenius norm.
There are others and some special cases for vectors.
http://www.mathworks.com/help/matlab/ref/norm.html
On Oct 22, 2012, at 12:14 PM, Jason Grout wrote:
> On 10/22/12 11:08 AM, Charles R Harris
On 10/22/12 11:08 AM, Charles R Harris wrote:
>
> The 2-norm and the Frobenius norm are the same thing.
For vectors, but I was talking about matrices and induced p-norms (sorry
for not being clear). Warren pointed out that the spectral norm (the
induced 2-norm) is used in Octave as the default
On Mon, Oct 22, 2012 at 10:56 AM, Charles R Harris <
charlesr.har...@gmail.com> wrote:
>
>
> On Mon, Oct 22, 2012 at 9:44 AM, Jason Grout
> wrote:
>
>> I'm curious why scipy/numpy defaults to calculating the Frobenius norm
>> for matrices [1], when Matlab, Octave, and Mathematica all default to
>
On Mon, Oct 22, 2012 at 10:00 AM, Jason Grout
wrote:
> On 10/22/12 10:56 AM, Charles R Harris wrote:
> >
> >
> > On Mon, Oct 22, 2012 at 9:44 AM, Jason Grout
> > mailto:jason-s...@creativetrax.com>>
> wrote:
> >
> > I'm curious why scipy/numpy defaults to calculating the Frobenius
> norm
> >
On 10/22/12 10:56 AM, Charles R Harris wrote:
>
>
> On Mon, Oct 22, 2012 at 9:44 AM, Jason Grout
> mailto:jason-s...@creativetrax.com>> wrote:
>
> I'm curious why scipy/numpy defaults to calculating the Frobenius norm
> for matrices [1], when Matlab, Octave, and Mathematica all default to
>
On Mon, Oct 22, 2012 at 9:44 AM, Jason Grout wrote:
> I'm curious why scipy/numpy defaults to calculating the Frobenius norm
> for matrices [1], when Matlab, Octave, and Mathematica all default to
> calculating the induced 2-norm [2]. Is it solely because the Frobenius
> norm is easier to calcula
I'm curious why scipy/numpy defaults to calculating the Frobenius norm
for matrices [1], when Matlab, Octave, and Mathematica all default to
calculating the induced 2-norm [2]. Is it solely because the Frobenius
norm is easier to calculate, or is there some other good mathematical
reason for d
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