Average ( self )

Time average of the original field

Eigenvalues ( self,  svdsolver=LA.singular_value_decomposition )

Eigenvalues of the covariance (correlation) matrix

Eigenvectors (
        self,
        Neofs,
        pcscaling=0,
        svdsolver=LA.singular_value_decomposition,
        )

EOFs, the eigenvectors of the covariance (correlation) matrix

Arguments:

Neofs

Number of EOFs to return

Optional arguments:

pcscaling

Kind of PC scaling. Defaults to 0, orthonormal EOFs. Set this parameter to 1 to obtain variance carrying orthogonal EOFs.

svdsolver

Routine to perform the SVD underlying decomposition. Defaults to LinearAlgebra's singular_value_decomposition.

MCTest (
        self,
        Neofs,
        iterator,
        subsamples,
        length,
        )

Monte Carlo test on the congruence

NorthTest ( self )

North error bars

PCs (
        self,
        Neofs,
        iterator,
        irecord,
        pcscaling=0,
        )

Principal components

ScatteringMeasure ( self )

Covariance or correlation matrix depending on the constructor

VarianceFraction ( self,  svdfunc=LA.singular_value_decomposition )

Total variance fraction accounted for each principal mode

WholePCs (
        self,
        Neofs,
        iterator,
        pcscaling=0,
        )

Principal components for all records