From what I can see, numpy doesn't have any functions for handling polar or spherical coordinate to/from cartesian coordinate conversion. I think such methods would be pretty useful. I am looking now and it doesn't look that hard to create functions to convert between ndimensional cartesian and nspherical coordinates. Would anyone be interested in me adding methods for this?
On 29 March 2013 11:15, Todd
From what I can see, numpy doesn't have any functions for handling polar or spherical coordinate to/from cartesian coordinate conversion. I think such methods would be pretty useful. I am looking now and it doesn't look that hard to create functions to convert between ndimensional cartesian and nspherical coordinates. Would anyone be interested in me adding methods for this?
I use these coordinate transforms often. I wonder if it wouldn't be preferable to create a scikit focused on spherical or, more generally, geometric operations rather than adding to the already hefty number of functions in numpy. I'd be interested to contribute to such a scikit. Angus  AJC McMorland Research Associate Neurobiology, University of Pittsburgh
On Fri, Mar 29, 2013 at 4:33 PM, Angus McMorland
From what I can see, numpy doesn't have any functions for handling polar or spherical coordinate to/from cartesian coordinate conversion. I think such methods would be pretty useful. I am looking now and it doesn't look
On 29 March 2013 11:15, Todd
wrote: that hard to create functions to convert between ndimensional cartesian and nspherical coordinates. Would anyone be interested in me adding methods for this?
I use these coordinate transforms often. I wonder if it wouldn't be preferable to create a scikit focused on spherical or, more generally, geometric operations rather than adding to the already hefty number of functions in numpy. I'd be interested to contribute to such a scikit.
The reason I think these particular functions belong in numpy is that they are closely tied to signal processing and linear algebra, far more than any other coordinate systems. It is really just a generalization of the complex number processing that is already available from numpy. Also, although numpy has methods to convert complex values to magnitude and angle, it doesn't have any methods to go the other way. Again, such a function would just be a special 2D case of the more general ndimensional functions.
participants (2)

Angus McMorland

Todd