Argvals#

class FDApy.representation.Argvals(dict=None, /, **kwargs)[source]#

Define the structure of Argvals.

Attributes:

n_points (Tuple[int, …] | Dict[int, Tuple[int, …]]) – Number of sampling points of each dimension.
n_dimension (int) – Number of input dimension of the data.
min_max (Dict[str, Tuple[float, float]]) – Minimum and maximum sampling points for each dimension.

Methods

`clear`()
`compatible_with`(values)	Raise an error if Argvals is not compatible with Values.
`concatenate`(*argvals)	Concatenate Argvals objects.
`copy`()
`fromkeys`(iterable[, value])
`get`(k[,d])
`items`()
`keys`()
`normalization`()	Normalize the Argvals.
`pop`(k[,d])	If key is not found, d is returned if given, otherwise KeyError is raised.
`popitem`()	as a 2-tuple; but raise KeyError if D is empty.
`setdefault`(k[,d])
`update`([E, ]**F)	If E present and has a .keys() method, does: for k in E: D[k] = E[k] If E present and lacks .keys() method, does: for (k, v) in E: D[k] = v In either case, this is followed by: for k, v in F.items(): D[k] = v
`values`()

compatible_with(values)[source]#

Raise an error if Argvals is not compatible with Values.

Parameters:: values (Type[Values]) – A Values object.
Raises:: ValueError – When self and values do not have coherent common sampling points. The first dimension of values is assumed to represented the number of observations.
Return type:: None

abstract static concatenate(*argvals)[source]#

Concatenate Argvals objects.

pop(k[, d]) → v, remove specified key and return the corresponding value.#: If key is not found, d is returned if given, otherwise KeyError is raised.

popitem() → (k, v), remove and return some (key, value) pair#: as a 2-tuple; but raise KeyError if D is empty.

update([E, ]**F) → None. Update D from mapping/iterable E and F.#: If E present and has a .keys() method, does: for k in E: D[k] = E[k] If E present and lacks .keys() method, does: for (k, v) in E: D[k] = v In either case, this is followed by: for k, v in F.items(): D[k] = v