pylupnt.convert_frame¶
- pylupnt.convert_frame(*args, **kwargs)¶
Overloaded function.
convert_frame(t_tai: float, rv_in: numpy.ndarray[numpy.float64[6, 1]], frame_in: pylupnt._pylupnt.Frame, frame_out: pylupnt._pylupnt.Frame, rotate_only: bool = False) -> numpy.ndarray[numpy.float64[6, 1]]
Convert frame
convert_frame(t_tai: float, r_in: numpy.ndarray[numpy.float64[3, 1]], frame_in: pylupnt._pylupnt.Frame, frame_out: pylupnt._pylupnt.Frame, rotate_only: bool = False) -> numpy.ndarray[numpy.float64[3, 1]]
Convert frame
convert_frame(t_tai: float, state_in: lupnt::CartesianOrbitState, frame_out: pylupnt._pylupnt.Frame, rotate_only: bool = False) -> lupnt::CartesianOrbitState
Convert frame
convert_frame(t_tai: numpy.ndarray[numpy.float64[m, 1]], rv_in: numpy.ndarray[numpy.float64[6, 1]], frame_in: pylupnt._pylupnt.Frame, frame_out: pylupnt._pylupnt.Frame, rotate_only: bool = False) -> numpy.ndarray[numpy.float64[m, 6]]
Convert frame
convert_frame(t_tai: numpy.ndarray[numpy.float64[m, 1]], r_in: numpy.ndarray[numpy.float64[3, 1]], frame_in: pylupnt._pylupnt.Frame, frame_out: pylupnt._pylupnt.Frame, rotate_only: bool = False) -> numpy.ndarray[numpy.float64[m, 3]]
Convert frame
convert_frame(t_tai: float, rv_in: numpy.ndarray[numpy.float64[m, 6]], frame_in: pylupnt._pylupnt.Frame, frame_out: pylupnt._pylupnt.Frame, rotate_only: bool = False) -> numpy.ndarray[numpy.float64[m, 6]]
Convert frame
convert_frame(t_tai: float, r_in: numpy.ndarray[numpy.float64[m, 3]], frame_in: pylupnt._pylupnt.Frame, frame_out: pylupnt._pylupnt.Frame, rotate_only: bool = False) -> numpy.ndarray[numpy.float64[m, 3]]
Convert frame
convert_frame(t_tai: numpy.ndarray[numpy.float64[m, 1]], rv_in: numpy.ndarray[numpy.float64[m, 6]], frame_in: pylupnt._pylupnt.Frame, frame_out: pylupnt._pylupnt.Frame, rotate_only: bool = False) -> numpy.ndarray[numpy.float64[m, 6]]
Convert frame
convert_frame(t_tai: numpy.ndarray[numpy.float64[m, 1]], r_in: numpy.ndarray[numpy.float64[m, 3]], frame_in: pylupnt._pylupnt.Frame, frame_out: pylupnt._pylupnt.Frame, rotate_only: bool = False) -> numpy.ndarray[numpy.float64[m, 3]]
Convert frame