class astropy.coordinates.RadialDifferential(*args, **kwargs)[source]

Parameters: d_distance : Quantity The differential distance. copy : bool, optional If True (default), arrays will be copied rather than referenced.

Attributes Summary

 attr_classes d_distance Component ‘d_distance’ of the Differential.

Methods Summary

 from_cartesian(other, base) Convert the differential from 3D rectangular cartesian coordinates to the desired class. from_representation(representation[, base]) Create a new instance of this representation from another one. to_cartesian(self, base) Convert the differential to 3D rectangular cartesian coordinates.

Attributes Documentation

attr_classes = {'d_distance': <class 'astropy.units.quantity.Quantity'>}
d_distance

Component ‘d_distance’ of the Differential.

Methods Documentation

classmethod from_cartesian(other, base)[source]

Convert the differential from 3D rectangular cartesian coordinates to the desired class.

Parameters: other : The object to convert into this differential. base : instance of self.base_representation The points for which the differentials are to be converted: each of the components is multiplied by its unit vectors and scale factors. A new differential object that is this class’ type.
classmethod from_representation(representation, base=None)[source]

Create a new instance of this representation from another one.

Parameters: representation : BaseRepresentation instance The presentation that should be converted to this class. base : instance of cls.base_representation The base relative to which the differentials will be defined. If the representation is a differential itself, the base will be converted to its base_representation to help convert it.
to_cartesian(self, base)[source]

Convert the differential to 3D rectangular cartesian coordinates.

Parameters: base : instance of self.base_representation The points for which the differentials are to be converted: each of the components is multiplied by its unit vectors and scale factors. This object as a CartesianDifferential