IrregularValues#
- class FDApy.representation.IrregularValues(dict=None, /, **kwargs)[source]#
Represent the values of irregular functional data.
This class extends the Values class to represent values for IrregularFunctionalData. It provides additional functionality for working with argument values in scientific computing.
- Attributes:
n_obs (int) – Number of observations.
n_points (Dict[int, Tuple[int, …]]) – Number of sampling points of each dimension.
Methods
clear()compatible_with(argvals)Raise an error if Values is not compatible with Argvals.
concatenate(*values)Concatenate IrregularValues objects.
copy()fromkeys(iterable[, value])get(k[,d])items()keys()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()- clear() None. Remove all items from D.#
- 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
- static concatenate(*values)[source]#
Concatenate IrregularValues objects.
- Parameters:
values – The IrregularValues objects to concatenate.
- Returns:
The concatenated IrregularValues.
- Return type:
- copy()#
- classmethod fromkeys(iterable, value=None)#
- get(k[, d]) D[k] if k in D, else d. d defaults to None.#
- items() a set-like object providing a view on D's items#
- keys() a set-like object providing a view on D's keys#
- 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.
- setdefault(k[, d]) D.get(k,d), also set D[k]=d if k not in D#
- 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
- values() an object providing a view on D's values#
Examples using FDApy.representation.IrregularValues#
Representation of univariate and irregular functional data
