RadialRepresentation¶
- class astropy.coordinates.RadialRepresentation(distance, differentials=None, copy=True)[source]¶
Bases:
BaseRepresentation
Representation of the distance of points from the origin.
Note that this is mostly intended as an internal helper representation. It can do little else but being used as a scale in multiplication.
- Parameters:
- distance
Quantity
[:ref: ‘length’] The distance of the point(s) from the origin.
- differentials
python:dict
,BaseDifferential
, optional Any differential classes that should be associated with this representation. The input must either be a single
BaseDifferential
instance (see_compatible_differentials
for valid types), or a dictionary of of differential instances with keys set to a string representation of the SI unit with which the differential (derivative) is taken. For example, for a velocity differential on a positional representation, the key would be's'
for seconds, indicating that the derivative is a time derivative.- copybool, optional
If
True
(default), arrays will be copied. IfFalse
, arrays will be references, though possibly broadcast to ensure matching shapes.
- distance
Attributes Summary
The distance from the origin to the point(s).
Methods Summary
from_cartesian
(cart)Converts 3D rectangular cartesian coordinates to radial coordinate.
norm
()Vector norm.
Scale factors for each component's direction.
Cannot convert radial representation to cartesian.
transform
(matrix)Radial representations cannot be transformed by a Cartesian matrix.
Cartesian unit vectors are undefined for radial representation.
Attributes Documentation
- attr_classes = {'distance': <class 'astropy.units.quantity.Quantity'>}¶
- distance¶
The distance from the origin to the point(s).
Methods Documentation
- classmethod from_cartesian(cart)[source]¶
Converts 3D rectangular cartesian coordinates to radial coordinate.
- norm()[source]¶
Vector norm.
Just the distance itself.
- Returns:
- norm
Quantity
[:ref: ‘dimensionless’] Dimensionless ones, with the same shape as the representation.
- norm
- scale_factors()[source]¶
Scale factors for each component’s direction.
Given unit vectors \(\hat{e}_c\) and scale factors \(f_c\), a change in one component of \(\delta c\) corresponds to a change in representation of \(\delta c \times f_c \times \hat{e}_c\).
- Returns:
- scale_factors
python:dict
ofQuantity
The keys are the component names.
- scale_factors
- transform(matrix)[source]¶
Radial representations cannot be transformed by a Cartesian matrix.
- Parameters:
- matrixnumpy:array_like
The transformation matrix in a Cartesian basis. Must be a multiplication: a diagonal matrix with identical elements. Must have shape (…, 3, 3), where the last 2 indices are for the matrix on each other axis. Make sure that the matrix shape is compatible with the shape of this representation.
- Raises:
ValueError
If the matrix is not a multiplication.