Values#

class FDApy.representation.Values[source]#

Define the structure of Values.

Attributes:
  • n_obs (int) – Number of observations.

  • n_points (Tuple[int, …] | Dict[int, Tuple[int, …]]) – Number of sampling points of each dimension.

Methods

compatible_with(argvals)

Raise an error if Values is not compatible with Argvals.

concatenate(*values)

Concatenate Values objects.

compatible_with(argvals)[source]#

Raise an error if Values is not compatible with Argvals.

Parameters:

argvals (Type[Argvals]) – A Argvals object.

Raises:

ValueError – When self and argvals do not have coherent common sampling points.

Return type:

None

abstract static concatenate(*values)[source]#

Concatenate Values objects.

Return type:

Type[Values]

Examples using FDApy.representation.Values#

Representation of univariate and dense functional data

Representation of univariate and dense functional data

Representation of univariate and irregular functional data

Representation of univariate and irregular functional data

Representation of multivariate functional data

Representation of multivariate functional data