SphericalRepresentation¶
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class
astropy.coordinates.SphericalRepresentation(lon, lat, distance, differentials=None, copy=True)[source] [edit on github]¶ Bases:
astropy.coordinates.BaseRepresentationRepresentation of points in 3D spherical coordinates.
Parameters: lon, lat :
Quantitydistance :
Quantitydifferentials : dict,
BaseDifferential, optionalAny differential classes that should be associated with this representation. The input must either be a single
BaseDifferentialinstance (see_compatible_differentialsfor 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.copy : bool, optional
If
True(default), arrays will be copied rather than referenced.Attributes Summary
attr_classesdistanceThe distance from the origin to the point(s). latThe latitude of the point(s). lonThe longitude of the point(s). Methods Summary
from_cartesian(cart)Converts 3D rectangular cartesian coordinates to spherical polar coordinates. norm()Vector norm. represent_as(other_class[, differential_class])Convert coordinates to another representation. scale_factors([omit_coslat])Scale factors for each component’s direction. to_cartesian()Converts spherical polar coordinates to 3D rectangular cartesian coordinates. unit_vectors()Cartesian unit vectors in the direction of each component. Attributes Documentation
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attr_classes= {'distance': <class 'astropy.units.quantity.Quantity'>, 'lat': <class 'astropy.coordinates.angles.Latitude'>, 'lon': <class 'astropy.coordinates.angles.Longitude'>}¶
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distance¶ The distance from the origin to the point(s).
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lat¶ The latitude of the point(s).
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lon¶ The longitude of the point(s).
Methods Documentation
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classmethod
from_cartesian(cart)[source] [edit on github]¶ Converts 3D rectangular cartesian coordinates to spherical polar coordinates.
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norm()[source] [edit on github]¶ Vector norm.
The norm is the standard Frobenius norm, i.e., the square root of the sum of the squares of all components with non-angular units. For spherical coordinates, this is just the absolute value of the distance.
Returns: norm :
astropy.units.QuantityVector norm, with the same shape as the representation.
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represent_as(other_class, differential_class=None)[source] [edit on github]¶ Convert coordinates to another representation.
If the instance is of the requested class, it is returned unmodified. By default, conversion is done via cartesian coordinates.
Parameters: other_class :
BaseRepresentationsubclassThe type of representation to turn the coordinates into.
differential_class : dict of
BaseDifferential, optionalClasses in which the differentials should be represented. Can be a single class if only a single differential is attached, otherwise it should be a
dictkeyed by the same keys as the differentials.
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scale_factors(omit_coslat=False)[source] [edit on github]¶ 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 : dict of
QuantityThe keys are the component names.
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to_cartesian()[source] [edit on github]¶ Converts spherical polar coordinates to 3D rectangular cartesian coordinates.
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unit_vectors()[source] [edit on github]¶ Cartesian unit vectors in the direction of each component.
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: unit_vectors : dict of
CartesianRepresentationThe keys are the component names.
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