Suresh Pillai wrote:
> Thanks. Suspected as much re integer vs float.
>
> Which brings me to the question: if we are able to debug issues
> ourselves, should we just post to this list or the devel list or
> contribute privately.
Definitely to one of the lists. If you think other users may be
Thanks. Suspected as much re integer vs float.
Which brings me to the question: if we are able to debug issues ourselves,
should we just post to this list or the devel list or contribute privately.
Thanks,
Suresh
On Mon, 2 Apr 2007, Eric Firing wrote:
> I see where the problem (or at least o
I see where the problem (or at least one problem) is, and I will try to
get it fixed by tomorrow. In the meantime, I think you will get the
results you want by simply converting your arrays to floating point:
matshow(matrix.astype(float), ...)
Eric
Suresh Pillai wrote:
> So I been using the
A really great IDE for windows users is pyScripter (
http://mmm-experts.com/Products.aspx?ProductId=4 )
It's probably the best I could try so far (and it's free).
cheers
On 3/30/07, Tim Hirzel <[EMAIL PROTECTED]> wrote:
> As for a good IDE. I really like eclipse with pydev. For easy
> student/be
So I been using the log scale provided by matplotlib.colors.LogNorm, but
have been seing bizarre behaviour. Basically, high values are not
displayed properly. I give simple examples below with just two possible
values in the matrix, but all the same issues arise with more varied
values.
Firs
massimo sandal wrote:
> javi markez bigara ha scritto:
>> hi everyone,
>> i would like to know how to plot several linear regresions with the
>> same group of points
Don't understand exactly what you want to do ...
>
> what do you mean?
>
> however, if you dig the matplotlib and the scipy
javi markez bigara ha scritto:
hi everyone,
i would like to know how to plot several linear regresions with the same
group of points
THANKS IN ADVANCE
what do you mean?
however, if you dig the matplotlib and the scipy documentation, you'll
find (a)how to plot points (easy) (b)how to cal
hi everyone,
i would like to know how to plot several linear regresions with the same
group of points
THANKS IN ADVANCE
_
Descubre la descarga digital con MSN Music. Más de un millón de canciones.
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---
Simon Kammerer wrote:
> Hi list,
>
>
> when using clabel with basemap, it seems to me that clabel labels
> contours outside the visible area of my maps, (see attached example).
>
> Any hints / workarounds? Or am I missing something?
>
> Regards
> Simon
>
>
>
Simon: Yes, that's right - much of
Hi list,
when using clabel with basemap, it seems to me that clabel labels
contours outside the visible area of my maps, (see attached example).
Any hints / workarounds? Or am I missing something?
Regards
Simon
[Modified wiki_example.py, labels visible with ortho projection, labels
not visi
Giorgio Luciano ha scritto:
I'm aware that python/scipy were not started as a clone matlab (well
matlibplot was started as something similar ;)
Yes, matplotlib AFAIK wanted (and probably wants) to be something
similar, and it's bad, because mpl is too good in itself to be forced to
be just a
Hi list,
is there a way to force clabel to label all contour lines?
Regards
Simon
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Hi Archana,
Archana Ganesan wrote:
> Hi,
>
> I tried following the instructions at the py2exe site and I have also
> uncommeneted and made it include the matplotlib.numerix package. Still
> it doesnt seem to work. Is there any other way of compiling it into an
> executable?
Did you try to compi
Dear List -
Thanks for the discussion on the issue of the real strength of the
Python/matplotlib/numpy/scipy combo.
I use Python for both development and teaching, but my biggest question
concerned teaching.
When I teach, I need something easy and powerful, but also something that is
easy to in
Thank for all the reply.
I will sure have a look at the video that Oliver suggest and I also
downloaded Eclipse.
I'm "happy" that someone also shared my problems in teaching python.
I'm aware that python/scipy were not started as a clone matlab (well
matlibplot was started as something similar ;)
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