cfdm.CellMeasure¶
-
class
cfdm.
CellMeasure
(measure=None, properties=None, data=None, source=None, copy=True, _use_data=True)[source]¶ Bases:
cfdm.mixin.netcdf.NetCDFVariable
,cfdm.mixin.netcdf.NetCDFExternal
,cfdm.mixin.propertiesdata.PropertiesData
,cfdm.mixin.files.Files
,cfdm.core.cellmeasure.CellMeasure
A cell measure construct of the CF data model.
A cell measure construct provides information that is needed about the size or shape of the cells and that depends on a subset of the domain axis constructs. Cell measure constructs have to be used when the size or shape of the cells cannot be deduced from the dimension or auxiliary coordinate constructs without special knowledge that a generic application cannot be expected to have.
The cell measure construct consists of a numeric array of the metric data which spans a subset of the domain axis constructs, and properties to describe the data. The cell measure construct specifies a “measure” to indicate which metric of the space it supplies, e.g. cell horizontal areas, and must have a units property consistent with the measure, e.g. square metres. It is assumed that the metric does not depend on axes of the domain which are not spanned by the array, along which the values are implicitly propagated. CF-netCDF cell measure variables correspond to cell measure constructs.
NetCDF interface
The netCDF variable name may be accessed with the
nc_set_variable
,nc_get_variable
,nc_del_variable
, andnc_has_variable
methods.The netCDF variable group structure may be accessed with the
nc_set_variable
,nc_get_variable
,nc_variable_groups
,nc_clear_variable_groups
, andnc_set_variable_groups
methods.The selection of properties to be written as netCDF global attributes may be accessed with the
nc_global_attributes
,nc_clear_global_attributes
, andnc_set_global_attribute
methods.New in version (cfdm): 1.7.0
Initialisation
- Parameters
- measure:
str
, optional Set the measure that indicates the metric given by the data array.
The measure may also be set after initialisation with the
set_measure
method.- Parameter example:
measure='area'
- properties:
dict
, optional Set descriptive properties. The dictionary keys are property names, with corresponding values.
Properties may also be set after initialisation with the
set_properties
andset_property
methods.- Parameter example:
properties={'standard_name': 'cell_area'}
- data: data_like, optional
Set the data.
A data_like object is any object that can be converted to a
Data
object, i.e.numpy
array_like objects,Data
objects, and cfdm instances that containData
objects.The data also may be set after initialisation with the
set_data
method.- source: optional
Convert source, which can be any type of object, to a
CellMeasure
instance.All other parameters, apart from copy, are ignored and their values are instead inferred from source by assuming that it has the
CellMeasure
API. Any parameters that can not be retrieved from source in this way are assumed to have their default value.Note that if
x
is also aCellMeasure
instance thencfdm.CellMeasure(source=x)
is equivalent tox.copy()
.- copy:
bool
, optional If True (the default) then deep copy the input parameters prior to initialisation. By default the parameters are not deep copied.
- measure:
Inspection¶
Methods
A full description of the cell measure construct. |
|
Return the canonical identity. |
|
Return all possible identities. |
Attributes
Return a description of the construct type. |
Properties¶
Methods
Remove the measure. |
|
Return the measure. |
|
Whether the measure has been set. |
|
Set the measure. |
|
Remove a property. |
|
Return a property. |
|
Whether a property has been set. |
|
Set a property. |
|
Return all properties. |
|
Remove all properties. |
|
Remove properties. |
|
Set properties. |
Data¶
Methods
Apply masking as defined by the CF conventions. |
|
Remove the data. |
|
Return the data. |
|
Whether or not the construct has data. |
|
Set the data. |
|
Expand the shape of the data array. |
|
Remove size one axes from the data array. |
|
Permute the axes of the data array. |
Attributes
A numpy array deep copy of the data. |
|
Return the data. |
|
An independent numpy array of date-time objects. |
|
Data-type of the data elements. |
|
The number of data dimensions. |
|
A tuple of the data array’s dimension sizes. |
|
The number elements in the data. |
Miscellaneous¶
Methods
Return a deep copy. |
|
Returns the commands to create the cell measure construct. |
|
Whether two cell measure constructs are the same. |
|
Whether or not there are cell bounds. |
|
Uncompress the construct. |
|
Return the name of the file or files containing the data. |
|
The names of files containing the original data and metadata. |
|
Bring data on disk into memory. |
NetCDF¶
Methods
Remove the netCDF variable name. |
|
Return the netCDF variable name. |
|
Whether the netCDF variable name has been set. |
|
Set the netCDF variable name. |
|
Whether a construct matches an external netCDF variable. |
|
Set external status of a netCDF variable. |
Groups¶
Methods
Return the netCDF variable group hierarchy. |
|
Remove the netCDF variable group hierarchy. |
|
Set the netCDF variable group hierarchy. |
Special¶
Methods
Called by the |
|
Return a subspace defined by indices. |
|
Called by the |
|
Called by the |
Docstring substitutions¶
Methods
Return the special docstring substitutions. |
|
Returns the substitutions that apply to methods of the class. |
|
Returns the class {{package}} substitutions package depth. |
|
Returns method names excluded in the class substitutions. |