Projection module

Project trajectories into a discrete format.

pyrotor.projection.coef_to_trajectory(c, evaluation_points_nb, basis, basis_features, basis_dimension)

Given coefficients, build the associated trajectory with respect to a functional basis.

Inputs:

• c: list of floats or list of pd.Series

  Each element of the list contains coefficients of a state

• evaluation_points_nb: int

  Number of points on which the trajectory is evaluated

• basis: string

  Name of the functional basis

• basis_features: dict

  Contain information on the basis for each state

• basis_dimension: dict

  Give the number of basis functions for each state

Output:

• y: DataFrame

  Contains computed states of a flight

pyrotor.projection.compute_weighted_coef(coefs, weights, basis_dimension)

Compute weighted sum of trajectories through coefficients.

Inputs:

• coefs: list of pd.Series

  Each element of the list contains coefficients of a trajectory

• weights: ndarray

  Vector containing the weights

• basis_dimension: dict

  Give the number of basis functions for each state

Output:

c_weight: ndarray

Vector containing weighted sum of the coefficients

pyrotor.projection.trajectories_to_coefs(trajectories, basis, basis_features, basis_dimension, n_jobs)

Given trajectories, compute their associated coefficients for each state with respect to a functional basis.

Inputs:

• y: list of DataFrame

  List of trajectories - Index has to start at 0

• basis: string

  Functional basis

• basis_features: dict

  Contain information on the basis for each state

• basis_dimension: dict

  Give the dimension of the basis for each state

• n_jobs: int

  Number of processes to use - If None, no parallelization is used

Output:

• coefs: list of pd.Series

  Each element of the list contains coefficients of a trajectory

pyrotor.projection.trajectory_to_coef(y, basis, basis_features, basis_dimension)

Given a trajectory, compute its associated coefficients for each state with respect to a functional basis.

Inputs:

• y: DataFrame

  Trajectory - Index has to start at 0

• basis: string

  Name of the functional basis

• basis_features: dict

  Contain information on the basis for each state

• basis_dimension: dict

  Give the dimension of the basis for each state

Output:

• coef: list of pd.Series

  Each element of the list contains the coefficients of a state