pyarts.covariancematrix.Block¶

class pyarts.covariancematrix.Block(i, j, row_start, column_start, inverse, matrix)[source]¶

Block of a covariance matrix.

A block in a covariance matrix is identified by its row and column block indices. The block indices define to which retrieval quantities the covariance matrix block corresponds to.

i¶

Row-block index of the block

Type: int

j¶

Column-block index of the block

Type: int

row_start¶

Row index of the left- and uppermost element of the block w.r.t to the full covariance matrix.

Type: int

column_start¶

the block w.r.t. to the full covariance matrix.

Type: int

inverse¶

Flag that indicates whether this block is part of the normal part of the covariance matrix or its inverse.

Type: bool

matrix¶

The matrix that the block consists of.

Type: numpy.ndarray of scipy.sparse

__init__(i, j, row_start, column_start, inverse, matrix)[source]¶

Parameters

i (int) – The row-block index of the covariance matrix block.
j (int) – The column-block index of the covariance matrix block.
row_start (int) – Row index of the left- and uppermost element in in the block.
column_start (int) – Column index of the left- and uppermost element in the block
inverse (bool) – Flag indicating whether the block is part of the inverse of the covariance matrix or not.
matrix (np.ndarray or sp.sparse) – The matrix of which the block consists.

Methods

__init__(i, j, row_start, column_start, …)

param i: The row-block index of the covariance matrix block.

write_xml(xmlwriter[, attr])

Serialize block and write to xml stream.

Attributes

`column_start`
`i`
`inverse`
`j`
`matrix`
`row_start`