cfdm.RaggedIndexedContiguousArray¶
-
class
cfdm.
RaggedIndexedContiguousArray
(compressed_array=None, shape=None, size=None, ndim=None, count_variable=None, index_variable=None, source=None, copy=True)[source]¶ Bases:
cfdm.data.abstract.raggedarray.RaggedArray
An underlying indexed contiguous ragged array.
A collection of features, each of which is sequence of (vertical) profiles, stored using an indexed contiguous ragged array combines all feature elements along a single dimension (the “sample dimension”) such that a contiguous ragged array representation is used for each profile and the indexed ragged array representation to organise the profiles into timeseries.
The information needed to uncompress the data is stored in a “count variable” that gives the size of each profile; and in a “index variable” that specifies the feature that each profile belongs to.
It is assumed that the compressed dimensions are the two left-most dimensions in the compressed array.
See CF section 9 “Discrete Sampling Geometries”.
New in version (cfdm): 1.7.0
Initialisation
- Parameters
- compressed_array: array_like
The compressed array.
- shape:
tuple
The shape of the uncompressed array.
- count_variable:
Count
The count variable required to uncompress the data, corresponding to a CF-netCDF count variable.
- index_variable:
Index
The index variable required to uncompress the data, corresponding to a CF-netCDF CF-netCDF index variable.
- source: optional
Initialise the array from the given object.
Note that if source is a
RaggedIndexedContiguousArray
instance thencfdm.RaggedIndexedContiguousArray(source=source)
is equivalent tosource.copy()
.New in version (cfdm): 1.10.0.0
- copy:
bool
, optional If True (the default) then deep copy input parameters prior to initialisation, else they are not (deep) copied.
New in version (cfdm): 1.10.0.0
- size:
int
Deprecated at version 1.10.0.0. Ignored if set.
Number of elements in the uncompressed array.
- ndim:
int
Deprecated at version 1.10.0.0. Ignored if set.
The number of uncompressed array dimensions.
Inspection¶
Methods
Mapping of compressed to uncompressed dimensions. |
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Return axes that are compressed in the underlying array. |
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Returns the compressed dimension’s position in the array. |
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Returns the array’s compression type. |
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Return the count variable for the compressed array. |
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Return the index variable for the compressed array. |
Attributes
Returns a numpy array containing the uncompressed data. |
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Returns an independent numpy array with the compressed data. |
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Data-type of the uncompressed data. |
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Number of array dimensions. |
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Shape of the uncompressed data. |
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Number of elements in the array. |
Miscellaneous¶
Methods
Return a deep copy of the array. |
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Return a subspace, defined by indices, of a numpy array. |
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Return the underlying array object. |
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Bring data on disk into memory. |
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Create the subarray shapes along each uncompressed dimension. |
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Return descriptors for every subarray. |
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Return the Subarray class. |
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The data as required by the decompression algorithm. |
Special¶
Methods
The numpy array interface. |
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Called by the |
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Return a subspace of the uncompressed data. |
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Called by the |
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Called by the |
Docstring substitutions¶
Methods
Return the special docstring substitutions. |
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Returns the substitutions that apply to methods of the class. |
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Returns the class {{package}} substitutions package depth. |
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Returns method names excluded in the class substitutions. |