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Class: DIHDSEOFs hdseofs.py

Double iteration huge data set EOFs

Covariance matrix is obtained iterating twice over the dataset.

Base Classes   
HDSEOFs
Methods   
__init__
  __init__ 
__init__ (
        self,
        iterator,
        tcode='d',
        therecords=None,
        corrmatrix=0,
        )

Constructor for the class DIHDSEOFs

Arguments:

iterator
Indexable object (e.g. Numpy array, nciterator object, ...) to decompose into EOFs

Optional arguments:

tcode
Numeric typecode for the internal computations. Defaults to Float64.
therecords
List of records to be taken. Defaults to the whole data set.
corrmatrix
Bit parameter indicating wether covariance matrix EOFs are computed (default, 0) or correlation matrix ones (corrmatrix=1).

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This document was automatically generated on Mon Dec 9 15:58:37 2002 by HappyDoc version 2.1