conatus.expert.SPOD

class conatus.expert.SPOD(frequencies: 'np.ndarray', eigenvalues: 'np.ndarray', modes: 'Any', nblocks: 'int', nfft: 'int', noverlap: 'int', dt: 'float', window: 'str', onesided: 'bool', mean_policy: 'str', inner_product: 'DataInnerProduct', notes: 'list[str]' = <factory>)[source]

Bases: object

Parameters:
  • frequencies (ndarray)

  • eigenvalues (ndarray)

  • modes (Any)

  • nblocks (int)

  • nfft (int)

  • noverlap (int)

  • dt (float)

  • window (str)

  • onesided (bool)

  • mean_policy (str)

  • inner_product (DataInnerProduct)

  • notes (list[str])

frequencies: ndarray
eigenvalues: ndarray
modes: Any
nblocks: int
nfft: int
noverlap: int
dt: float
window: str
onesided: bool
mean_policy: str
inner_product: DataInnerProduct
notes: list[str]
confidence(alpha)[source]

(lower, upper) (1 − α) bounds on every eigenvalue (χ² with 2 N_b dof).

Parameters:

alpha (float)

Return type:

tuple[ndarray, ndarray]

explain()[source]
Return type:

str