Ndimensional representation classes¶
For the examples below the following imports have already been executed:
>>> import astropy.units as u
>>> import numpy as np
>>> import gala.dynamics as gd
Introduction¶
The Astropy representations framework presently only support 3D positions and differential
objects. The NDCartesianRepresentation
and
NDCartesianDifferential
classes add Cartesian
representation classes that can handle arbitrary numbers of dimensions. For
example, 2D coordinates:
>>> xy = np.arange(16).reshape(2, 8) * u.kpc
>>> rep = gd.NDCartesianRepresentation(xy)
>>> rep
<NDCartesianRepresentation (x1, x2) in kpc
[(0., 8.), (1., 9.), (2., 10.), (3., 11.), (4., 12.), (5., 13.),
(6., 14.), (7., 15.)]>
4D coordinates:
>>> x = np.arange(16).reshape(4, 4) * u.kpc
>>> rep = gd.NDCartesianRepresentation(x)
>>> rep
<NDCartesianRepresentation (x1, x2, x3, x4) in kpc
[(0., 4., 8., 12.), (1., 5., 9., 13.), (2., 6., 10., 14.),
(3., 7., 11., 15.)]>
These can be passed in to the PhaseSpacePosition
or Orbit
classes as with any of the Astropy
core representation objects:
>>> xy = np.arange(16).reshape(2, 8) * u.kpc
>>> vxy = np.arange(16).reshape(2, 8) / 10. * u.kpc / u.Myr
>>> w = gd.PhaseSpacePosition(pos=xy, vel=vxy)
>>> fig = w.plot()
(Source code, png, pdf)
However, certain functionality such as representation transformations, dynamical quantity calculation, and coordinate frame transformations are disabled when the number of dimensions is not 3 (i.e. when not using the Astropy core representation classes).
Ndimensional representations API¶
Classes¶

Representation of points in ND cartesian coordinates. 

Differentials in of points in ND cartesian coordinates. 