I had a similar problem some time ago,
which i solved by building my own class containing
an n-d array and an n-d interpolator. Then i overrided the __getitem__
special method
so that i could use a fancy notation like the one you want. Inside the
method i used
n-d dimensional interpolation of the
I think it is possible to construct a class that takes as init function
index converter functions and stores an array. That do for example
linear mappings from the floats to the int. I am wondering if the numpy
community would be interested in such a thing? I think the code would be
very short,
On 2/26/11 3:36 AM, Wolfgang Kerzendorf wrote:
> I have a n dimensional grid. The grids axes are linear but not
> intergers. Let's say I want the value in gridcell [3.2,-5.6,0.01]. Is
> there an easy way to transform the index? Do I have to write my own
> class to accomplish this. Is there an
Hello,
I have a n dimensional grid. The grids axes are linear but not
intergers. Let's say I want the value in gridcell [3.2,-5.6,0.01]. Is
there an easy way to transform the index? Do I have to write my own
class to accomplish this. Is there an easy way in numpy to accomplish
this. Can I give
