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- Astropy v5.2.1 »
- Astronomical Coordinate Systems (`astropy.coordinates`) »
- PhysicsSphericalRepresentation

# PhysicsSphericalRepresentation

class astropy.coordinates.PhysicsSphericalRepresentation(phi, theta=None, r=None, differentials=None, copy=True)

  Bases: `BaseRepresentation`

  Representation of points in 3D spherical coordinates (using the physics convention of using `phi` and `theta` for azimuth and inclination from the pole).

  Parameters:
    phi, theta `Quantity` or `python:str`

      The azimuth and inclination of the point(s), in angular units. The inclination should be between 0 and 180 degrees, and the azimuth will be wrapped to an angle between 0 and 360 degrees. These can also be instances of `Angle`. If `copy` is False, `phi` will be changed inplace if it is not between 0 and 360 degrees.

    r `Quantity`

      The distance to the point(s). If the distance is a length, it is passed to the `Distance` class, otherwise it is passed to the `Quantity` class.

    differentials `python:dict`, `PhysicsSphericalDifferential`, optional

      Any differential classes that should be associated with this representation. The input must either be a single `PhysicsSphericalDifferential` instance, 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. If `False`, arrays will be references, though possibly broadcast to ensure matching shapes.

  Attributes Summary

  `attr_classes` |
  `phi` | The azimuth of the point(s).
  `r` | The distance from the origin to the point(s).
  `theta` | The elevation 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`() | Scale factors for each component's direction.
  `to_cartesian`() | Converts spherical polar coordinates to 3D rectangular cartesian coordinates.
  `transform`(matrix) | Transform the spherical coordinates using a 3x3 matrix.
  `unit_vectors`() | Cartesian unit vectors in the direction of each component.

  Attributes Documentation

  attr_classes = {'phi': <class 'astropy.coordinates.angles.Angle'>, 'r': <class 'astropy.units.quantity.Quantity'>, 'theta': <class 'astropy.coordinates.angles.Angle'>}
  phi

    The azimuth of the point(s).

  r

    The distance from the origin to the point(s).

  theta

    The elevation of the point(s).

  Methods Documentation

  classmethod from_cartesian(cart)

    Converts 3D rectangular cartesian coordinates to spherical polar coordinates.

  norm()

    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 radius.

    Returns:
      norm `astropy.units.Quantity`

        Vector norm, with the same shape as the representation.

  represent_as(other_class, differential_class=None)

    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. Also note that orientation information at the origin is not preserved by conversions through Cartesian coordinates. See the docstring for `to_cartesian()` for an example.

    Parameters:
      other_class `BaseRepresentation` subclass

        The type of representation to turn the coordinates into.

      differential_class `python:dict` of `BaseDifferential`, optional

        Classes in which the differentials should be represented. Can be a single class if only a single differential is attached, otherwise it should be a `dict` keyed by the same keys as the differentials.

  scale_factors()

    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` of `Quantity`

        The keys are the component names.

  to_cartesian()

    Converts spherical polar coordinates to 3D rectangular cartesian coordinates.

  transform(matrix)

    Transform the spherical coordinates using a 3x3 matrix.

    This returns a new representation and does not modify the original one. Any differentials attached to this representation will also be transformed.

    Parameters:
      matrix(3,3) numpy:array_like

        A 3x3 matrix, such as a rotation matrix (or a stack of matrices).

  unit_vectors()

    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 `python:dict` of `CartesianRepresentation`

        The keys are the component names.