cf.RaggedContiguousArray

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class cf.RaggedContiguousArray(compressed_array=None, shape=None, size=None, ndim=None, count_variable=None)

Bases: cfdm.data.raggedcontiguousarray.RaggedContiguousArray

An underlying contiguous ragged array.

A collection of features stored using a contiguous ragged array combines all features along a single dimension (the “sample dimension”) such that each feature in the collection occupies a contiguous block.

The information needed to uncompress the data is stored in a “count variable” that gives the size of each block.

New in version 3.0.0.

Initialisation

Parameters

compressed_array: Data

The compressed data.

shape: tuple

The uncompressed array dimension sizes.

size: int

Number of elements in the uncompressed array.

ndim: int

The number of uncompressed array dimensions

count_variable: Count

The count variable required to uncompress the data, corresponding to a CF-netCDF count variable.

Inspection

Methods

get_compressed_axes	Return axes that are compressed in the underlying array.
get_compressed_dimension	Returns the compressed dimension’s position in the array.
get_compression_type	Returns the array’s compression type.
get_count	Return the count variable for a compressed array.
get_subspace	Return a subspace, defined by indices, of a numpy array.
source	Return the underlying array object.

Attributes

array	Returns a numpy array containing the uncompressed data.
compressed_array	Returns an independent numpy array with 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	Bring an array on disk into memory and retain it there.