cf.GatheredArray

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class cf.GatheredArray(compressed_array=None, shape=None, size=None, ndim=None, compressed_dimension=None, list_variable=None)

Bases: cf.data.abstract.compressedarray.CompressedArray, cfdm.data.gatheredarray.GatheredArray

An underlying gathered array.

Compression by gathering combines axes of a multidimensional array into a new, discrete axis whilst omitting the missing values and thus reducing the number of values that need to be stored.

The information needed to uncompress the data is stored in a “list variable” that gives the indices of the required points.

New in version 3.0.0.

Initialization

Parameters:

compressed_array: Data

The compressed array.

shape: tuple

The uncompressed array dimension sizes.

size: int

Number of elements in the uncompressed array.

ndim: int

The number of uncompressed array dimensions

compressed_dimension: int

The position of the compressed dimension in the compressed array.

list_variable: List

The “list variable” required to uncompress the data, identical to the data of a CF-netCDF list variable.

Inspection

Methods

get_compressed_axes	Return axes that are compressed in the underlying array.
get_compressed_dimension	Return the position of the compressed dimension in the compressed array.
get_compression_type	The type of compression that has been applied to the underlying array.
get_list	Return the list variable for a compressed array.
get_subspace	Return a subspace, defined by indices, of a numpy array.
source	TODO Return the underlying array object.

Attributes

array	Return an independent numpy array containing the uncompressed data.
compressed_array	Return an independent numpy array containing the compressed data.
dtype	Data-type of the data elements.
ndim	The number of dimensions of the uncompressed data.
shape	Shape of the uncompressed data.
size	Number of elements in the uncompressed data.

Miscellaneous

Methods

copy	Return a deep copy of the array.
get_subspace	Return a subspace, defined by indices, of a numpy array.
to_memory	TODO