Hi Bernhard,
* [EMAIL PROTECTED] <[EMAIL PROTECTED]> wrote:
>> > I can definitively second that. ROOT is a bit hard to learn but very,
>> > very powerful and PyRoot is really a pleasure to work with.
>>
>> It sounds interesting. Right now, I use matplotlib for
>> 2D plotting and vtk for 3D. Do you
> > I can definitively second that. ROOT is a bit hard to learn but very,
> > very powerful and PyRoot is really a pleasure to work with.
>
> It sounds interesting. Right now, I use matplotlib for
> 2D plotting and vtk for 3D. Do you have any experience and
> can give some recommendations?
Hi Fabi
Hi,
* Carl Friedrich Bolz <[EMAIL PROTECTED]> wrote:
> [EMAIL PROTECTED] wrote:
>> A commonly used data analysis framework is root (http://root.cern.ch).
>> It offers a object oriented C++ framework with all kind of things one
>> needs for plotting and data visualization. It comes along with PyRoo
[EMAIL PROTECTED] wrote:
> A commonly used data analysis framework is root (http://root.cern.ch).
> It offers a object oriented C++ framework with all kind of things one
> needs for plotting and data visualization. It comes along with PyRoot,
> an interface making the root objects available to Pyth
Fie Pye wrote:
> Hallo
>
> I would like to have a high class open source tools for scientific
> computing and powerful 2D and 3D data visualisation. Therefore I chose
> python, numpy and scipy as a base. Now I am in search for a visualisation
> tool. I tried matplotlib and p
Paul F. Kunz wrote:
> "Fie Pye" <[EMAIL PROTECTED]> writes:
>
>
>>Hallo
>>
>> I would like to have a high class open source tools for scientific
>> computing and powerful 2D and 3D data visualisation. Therefore I chose
>> python, numpy and scipy as a base. Now I am in search
"Fie Pye" <[EMAIL PROTECTED]> writes:
> Hallo
>
> I would like to have a high class open source tools for scientific
> computing and powerful 2D and 3D data visualisation. Therefore I chose
> python, numpy and scipy as a base. Now I am in search for a visualisation
> tool.
A commonly used data analysis framework is root (http://root.cern.ch).
It offers a object oriented C++ framework with all kind of things one
needs for plotting and data visualization. It comes along with PyRoot,
an interface making the root objects available to Python.
Take a look at the root manua
Matteo wrote:
> If you are working with NetCDF files, you may wish to add
> ScientificPython (distinct from SciPy) to your toolset. It has a very
> nice NetCDF interface. Unfortunately, it is ancient, and you would have
> to install Numeric Python (ancestor to NumPy). However, it is easy to
> conve
Matteo wrote:
> One hurdle to overcome is transferring array data from Numeric/Numpy
> into VTK. I have a sort of ad-hoc method to do that (mainly for volume
> data). If anyone knows of any elegant solution, or a module to ease the
> pain, I'd like to hear about it.
https://svn.enthought.com/enth
Fie Pye wrote:
> Hallo
>
> I would like to have a high class open source tools for scientific
> computing and powerful 2D and 3D data visualisation. Therefore I chose
> python, numpy and scipy as a base. Now I am in search for a visualisation
> tool. I tried matplotlib and py_opendx with
Fie>I would like to have a high class open source tools for
Fie>scientific computing and powerful 2D and 3D data
Fie>visualisation. Therefore I chose python, numpy and scipy as
Fie>a base. Now I am in search for a visualisation tool. I tried
Hallo
I would like to have a high class open source tools for scientific
computing and powerful 2D and 3D data visualisation. Therefore I chose python,
numpy and scipy as a base. Now I am in search for a visualisation tool. I tried
matplotlib and py_opendx with
Hallo
I would like to have a high class open source tools for scientific
computing and powerful 2D and 3D data visualisation. Therefore I chose python,
numpy and scipy as a base. Now I am in search for a visualisation tool. I tried
matplotlib and py_opendx with OpenDx. O
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