cf.Field

class cf.Field(attributes={})

Bases: cf.variable.Variable

A field construct according to the CF data model.

A field is a container for a data array and metadata comprising properties to describe the physical nature of the data and a coordinate system (called a space) which describes the positions of each element of the data array.

It is structured in exactly the same way as a field construct defined by the CF data model.

The field’s space may contain coordinates and cell measures (which themselves contain data arrays and properties to describe them) and transforms to describe how other auxiliary coordinates may be computed.

As in the CF data model, all components of a field are optional.

Initialization

Parameters :

attributes : dict, optional

Initialize a new instance with attributes from the dictionary’s key/value pairs. Values are deep copied.

CF variable attributes

add_offset	The add_offset CF attribute.
ancillary_variables
axis	The axis CF attribute.
calendar	The calendar CF attribute.
cell_methods	The CellMethods object containing the CF cell methods of the data array.
_FillValue	The _FillValue CF attribute.
flag_masks	The flag_masks CF attribute.
flag_meanings	The flag_meanings CF attribute.
flag_values	The flag_values CF attribute.
leap_month	The leap_month CF attribute.
leap_year	The leap_year CF attribute.
long_name	The long_name CF attribute.
missing_value	The missing_value CF attribute.
month_lengths	The month_lengths CF attribute.
positive	The positive CF attribute.
scale_factor	The scale_factor CF attribute.
standard_name	The standard_name CF attribute.
units	The units CF attribute.
valid_max	The valid_max CF attribute.
valid_min	The valid_min CF attribute.
valid_range	The valid_range CF attribute.

Data attributes

array	A numpy array deep copy of the data array.
Data	The Data object containing the data array.
dtype	Numpy data-type of the data array.
_FillValue	The _FillValue CF attribute.
first_datum	The first element of the data array.
is_scalar	True if and only if the data array is a scalar array.
last_datum	The last element of the data array.
mask	The boolean missing data mask of the data array.
ndim	Number of dimensions in the data array.
shape	Tuple of the data array’s dimension sizes.
size	Number of elements in the data array.
subset	Return a new field whose data and space are subsetted in a consistent manner.
Units	The Units object containing the units of the data array.
varray	A numpy array view of the data array.

Other attributes

attributes	A dictionary of the standard and non-standard CF attributes.
Flags	A Flags object containing self-describing CF flag values.
space	The Space object containing the coordinate system (space).

Methods

binary_mask	return new variable containing binary mask
chunk	Partition the data array using LAMA functionality.
coord	Return a coordinate of the field.
copy	Return a deep copy.
delattr	Delete a standard or non-standard CF attribute.
dump	Return a string containing a full description of the field.
equals	Return True if the variable is congruent to another variable in that
expand_dims	Expand the shape of the data array in place.
extract	Return the instance if it matches the given conditions.
getattr	Get a standard or non-standard CF attribute.
finalize
hasattr	Return True if the variable has standard or non-standard CF attribute.
match	Determine whether or not a field satisfies conditions.
name	Return a name for the variable.
reverse_dims	Reverse the directions of data array axes in place.
setattr	Set a standard or non-standard CF attribute.
squeeze	Remove size 1 dimensions from the field’s data array in place.
transpose	Permute the dimensions of the data array in place.
unsqueeze	Insert size 1 dimensions from the field’s space into its data array in place.