cf.RaggedContiguousArray¶

class
cf.
RaggedContiguousArray
(compressed_array=None, shape=None, size=None, ndim=None, count_variable=None)[source]¶ Bases:
cf.data.abstract.compressedarray.CompressedArray
,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.
Initialization
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 CFnetCDF count variable.
 compressed_array:
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_count 
Return the countcount_va 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 
Datatype 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 