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 Fabian!
I
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 have any
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 PyRoot,
an
[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 Python.
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. I tried
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 for a
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
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
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.
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
FieI would like to have a high class open source tools for
Fiescientific computing and powerful 2D and 3D data
Fievisualisation. Therefore I chose python, numpy and scipy as
Fiea base. Now I am in search for a visualisation tool. I tried
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
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.
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
convert
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