cfdm.core.DimensionCoordinate

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class cfdm.core.DimensionCoordinate(properties=None, data=None, bounds=None, geometry=None, interior_ring=None, source=None, copy=True, _use_data=True)

Bases: cfdm.core.abstract.coordinate.Coordinate

A dimension coordinate construct of the CF data model.

A dimension coordinate construct provides information which locate the cells of the domain and which depend on a subset of the domain axis constructs. The dimension coordinate construct is able to unambiguously describe cell locations because a domain axis can be associated with at most one dimension coordinate construct, whose data array values must all be non-missing and strictly monotonically increasing or decreasing. They must also all be of the same numeric data type. If cell bounds are provided, then each cell must have exactly two vertices. CF-netCDF coordinate variables and numeric scalar coordinate variables correspond to dimension coordinate constructs.

The dimension coordinate construct consists of a data array of the coordinate values which spans a subset of the domain axis constructs, an optional array of cell bounds recording the extents of each cell (stored in a Bounds object), and properties to describe the coordinates. An array of cell bounds spans the same domain axes as its coordinate array, with the addition of an extra dimension whose size is that of the number of vertices of each cell. This extra dimension does not correspond to a domain axis construct since it does not relate to an independent axis of the domain. Note that, for climatological time axes, the bounds are interpreted in a special way indicated by the cell method constructs.

New in version (cfdm): 1.7.0

Initialisation

Parameters

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 and set_property methods.

Parameter example:

properties={'standard_name': 'longitude'}

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.core instances that contain Data objects.

The data also may be set after initialisation with the set_data method.

bounds: Bounds, optional

Set the bounds array.

The bounds array may also be set after initialisation with the set_bounds method.

geometry: str, optional

Set the geometry type.

The geometry type may also be set after initialisation with the set_geometry method.

Parameter example:

geometry='polygon'

interior_ring: InteriorRing, optional

Set the interior ring variable.

The interior ring variable may also be set after initialisation with the set_interior_ring method.

source: optional

Convert source, which can be any type of object, to a DimensionCoordinate instance.

All other parameters, apart from copy, are ignored and their values are instead inferred from source by assuming that it has the DimensionCoordinate 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 a DimensionCoordinate instance then cfdm.core.DimensionCoordinate(source=x) is equivalent to x.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.

Inspection

Attributes

construct_type

Return a description of the construct type.

Properties

Methods

del_property	Remove a property.
get_property	Return a property.
has_property	Whether a property has been set.
set_property	Set a property.
properties	Return all properties.
clear_properties	Remove all properties.
del_properties	Remove properties.
set_properties	Set properties.

Data

Methods

del_data	Remove the data.
get_data	Return the data.
has_data	Whether or not the construct has data.
set_data	Set the data.

Attributes

data	Return the data.
dtype	Data-type of the data elements.
ndim	The number of data dimensions.
shape	A tuple of the data array’s dimension sizes.
size	The number of elements in the data.

Bounds

Methods

del_bounds	Remove the bounds.
get_bounds	Return the bounds.
has_bounds	Whether or not there are bounds.
set_bounds	Set the bounds.

Attributes

bounds

Return the bounds.

Geometries

Methods

del_geometry	Remove the geometry type.
get_geometry	Return the geometry type.
has_geometry	True if there is a geometry type.
set_geometry	Set the geometry type.
del_interior_ring	Remove the geometry type.
get_interior_ring	Return the interior ring variable for polygon geometries.
has_interior_ring	Whether or not there is an interior ring variable.
set_interior_ring	Set the interior_ring.

Attributes

interior_ring

Return the interior ring variable for polygon geometries.

Climatology

Methods

del_climatology	Remove the climatology setting.
get_climatology	Return the climatology setting.
is_climatology	True if the coordinates are climatological.
set_climatology	Set whether or not coordinates are climatological.

Miscellaneous

Methods

copy	Return a deep copy.

Special

Methods

__deepcopy__

Called by the copy.deepcopy function.

Docstring substitutions

Methods

_docstring_special_substitutions	Return the special docstring substitutions.
_docstring_substitutions	Returns the substitutions that apply to methods of the class.
_docstring_package_depth	Returns the class {{package}} substitutions package depth.
_docstring_method_exclusions	Returns method names excluded in the class substitutions.