iris.fileformats.cf#

Provide capability to load netCDF files and interpret them.

Provides the capability to load netCDF files and interpret them according to the ‘NetCDF Climate and Forecast (CF) Metadata Conventions’.

References

[CF] NetCDF Climate and Forecast (CF) Metadata conventions. [NUG] NetCDF User’s Guide, https://www.unidata.ucar.edu/software/netcdf/documentation/NUG/

class iris.fileformats.cf.CFAncillaryDataVariable(name, data)[source]#

Bases: CFVariable

CF-netCDF ancillary data variable.

A CF-netCDF ancillary data variable is a variable that provides metadata about the individual values of another data variable.

Identified by the CF-netCDF variable attribute ‘ancillary_variables’.

Ref: [CF] Section 3.4. Ancillary Data.

add_formula_term(root, term)#

Parameters:

root (str) – The name of CF-netCDF variable that defines the CF-netCDF formula_terms attribute.
term (str) – The associated term name of this variable in the formula_terms definition.

Return type:

None

cf_attrs()#: Return a list of all attribute name and value pairs of the CF-netCDF variable.

cf_attrs_ignored()#: Return a list of all ignored attribute name and value pairs of the CF-netCDF variable.

cf_attrs_reset()#: Reset the history of accessed attribute names of the CF-netCDF variable.

cf_attrs_unused()#: Return a list of all non-accessed attribute name and value pairs of the CF-netCDF variable.

cf_attrs_used()#: Return a list of all accessed attribute name and value pairs of the CF-netCDF variable.

cf_data#: NetCDF4 Variable data instance.

cf_group#: Collection of CF-netCDF variables associated with this variable.

cf_identity = 'ancillary_variables'#: Name of the netCDF variable attribute that identifies this CF-netCDF variable.

cf_name#: NetCDF variable name.

cf_terms_by_root#: CF-netCDF formula terms that his variable participates in.

has_formula_terms()#

Determine whether this CF-netCDF variable participates in a CF-netcdf formula term.

Return type:: bool

classmethod identify(variables, ignore=None, target=None, warn=True)[source]#

Identify all variables that match the criterion for this CF-netCDF variable class.

Parameters:

variables – Dictionary of netCDF4.Variable instance by variable name.
ignore (optional) – List of variable names to ignore.
target (optional) – Name of a single variable to check.
warn (bool, default=True) – Issue a warning if a missing variable is referenced.

Return type:

Dictionary of CFVariable instance by variable name.

spans(cf_variable)#

Determine dimensionality coverage.

Determine whether the dimensionality of this variable is a subset of the specified target variable.

Note that, by default scalar variables always span the dimensionality of the target variable.

Parameters:: cf_variable – Compare dimensionality with the CFVariable.
Return type:: bool

class iris.fileformats.cf.CFAuxiliaryCoordinateVariable(name, data)[source]#

Bases: CFVariable

CF-netCDF auxiliary coordinate variable.

A CF-netCDF auxiliary coordinate variable is any netCDF variable that contains coordinate data, but is not a CF-netCDF coordinate variable by definition.

There is no relationship between the name of a CF-netCDF auxiliary coordinate variable and the name(s) of its dimension(s).

Identified by the CF-netCDF variable attribute ‘coordinates’. Also see iris.fileformats.cf.CFLabelVariable.

Ref:

[CF] Chapter 5. Coordinate Systems.
[CF] Section 6.2. Alternative Coordinates.

add_formula_term(root, term)#

Parameters:

root (str) – The name of CF-netCDF variable that defines the CF-netCDF formula_terms attribute.
term (str) – The associated term name of this variable in the formula_terms definition.

Return type:

None

cf_attrs()#: Return a list of all attribute name and value pairs of the CF-netCDF variable.

cf_attrs_ignored()#: Return a list of all ignored attribute name and value pairs of the CF-netCDF variable.

cf_attrs_reset()#: Reset the history of accessed attribute names of the CF-netCDF variable.

cf_attrs_unused()#: Return a list of all non-accessed attribute name and value pairs of the CF-netCDF variable.

cf_attrs_used()#: Return a list of all accessed attribute name and value pairs of the CF-netCDF variable.

cf_data#: NetCDF4 Variable data instance.

cf_group#: Collection of CF-netCDF variables associated with this variable.

cf_identity = 'coordinates'#: Name of the netCDF variable attribute that identifies this CF-netCDF variable.

cf_name#: NetCDF variable name.

cf_terms_by_root#: CF-netCDF formula terms that his variable participates in.

has_formula_terms()#

Determine whether this CF-netCDF variable participates in a CF-netcdf formula term.

Return type:: bool

classmethod identify(variables, ignore=None, target=None, warn=True)[source]#

Identify all variables that match the criterion for this CF-netCDF variable class.

Parameters:

variables – Dictionary of netCDF4.Variable instance by variable name.
ignore (optional) – List of variable names to ignore.
target (optional) – Name of a single variable to check.
warn (bool, default=True) – Issue a warning if a missing variable is referenced.

Return type:

Dictionary of CFVariable instance by variable name.

spans(cf_variable)#

Determine dimensionality coverage.

Determine whether the dimensionality of this variable is a subset of the specified target variable.

Note that, by default scalar variables always span the dimensionality of the target variable.

Parameters:: cf_variable – Compare dimensionality with the CFVariable.
Return type:: bool

class iris.fileformats.cf.CFBoundaryVariable(name, data)[source]#

Bases: CFVariable

CF-netCDF boundary variable.

A CF-netCDF boundary variable is associated with a CF-netCDF variable that contains coordinate data. When a data value provides information about conditions in a cell occupying a region of space/time or some other dimension, the boundary variable provides a description of cell extent.

A CF-netCDF boundary variable will have one more dimension than its associated CF-netCDF coordinate variable or CF-netCDF auxiliary coordinate variable.

Identified by the CF-netCDF variable attribute ‘bounds’.

Ref: [CF] Section 7.1. Cell Boundaries.

add_formula_term(root, term)#

Parameters:

root (str) – The name of CF-netCDF variable that defines the CF-netCDF formula_terms attribute.
term (str) – The associated term name of this variable in the formula_terms definition.

Return type:

None

cf_attrs()#: Return a list of all attribute name and value pairs of the CF-netCDF variable.

cf_attrs_ignored()#: Return a list of all ignored attribute name and value pairs of the CF-netCDF variable.

cf_attrs_reset()#: Reset the history of accessed attribute names of the CF-netCDF variable.

cf_attrs_unused()#: Return a list of all non-accessed attribute name and value pairs of the CF-netCDF variable.

cf_attrs_used()#: Return a list of all accessed attribute name and value pairs of the CF-netCDF variable.

cf_data#: NetCDF4 Variable data instance.

cf_group#: Collection of CF-netCDF variables associated with this variable.

cf_identity = 'bounds'#: Name of the netCDF variable attribute that identifies this CF-netCDF variable.

cf_name#: NetCDF variable name.

cf_terms_by_root#: CF-netCDF formula terms that his variable participates in.

has_formula_terms()#

Determine whether this CF-netCDF variable participates in a CF-netcdf formula term.

Return type:: bool

classmethod identify(variables, ignore=None, target=None, warn=True)[source]#

Identify all variables that match the criterion for this CF-netCDF variable class.

Parameters:

variables – Dictionary of netCDF4.Variable instance by variable name.
ignore (optional) – List of variable names to ignore.
target (optional) – Name of a single variable to check.
warn (bool, default=True) – Issue a warning if a missing variable is referenced.

Return type:

Dictionary of CFVariable instance by variable name.

spans(cf_variable)[source]#

Determine dimensionality coverage.

Determine whether the dimensionality of this variable is a subset of the specified target variable.

Note that, by default scalar variables always span the dimensionality of the target variable.

Parameters:: cf_variable – Compare dimensionality with the CFVariable.
Return type:: bool

class iris.fileformats.cf.CFClimatologyVariable(name, data)[source]#

Bases: CFVariable

CF-netCDF climatology variable.

A CF-netCDF climatology variable is associated with a CF-netCDF variable that contains coordinate data. When a data value provides information about conditions in a cell occupying a region of space/time or some other dimension, the climatology variable provides a climatological description of cell extent.

A CF-netCDF climatology variable will have one more dimension than its associated CF-netCDF coordinate variable.

Identified by the CF-netCDF variable attribute ‘climatology’.

Ref: [CF] Section 7.4. Climatological Statistics

add_formula_term(root, term)#

Parameters:

root (str) – The name of CF-netCDF variable that defines the CF-netCDF formula_terms attribute.
term (str) – The associated term name of this variable in the formula_terms definition.

Return type:

None

cf_attrs()#: Return a list of all attribute name and value pairs of the CF-netCDF variable.

cf_attrs_ignored()#: Return a list of all ignored attribute name and value pairs of the CF-netCDF variable.

cf_attrs_reset()#: Reset the history of accessed attribute names of the CF-netCDF variable.

cf_attrs_unused()#: Return a list of all non-accessed attribute name and value pairs of the CF-netCDF variable.

cf_attrs_used()#: Return a list of all accessed attribute name and value pairs of the CF-netCDF variable.

cf_data#: NetCDF4 Variable data instance.

cf_group#: Collection of CF-netCDF variables associated with this variable.

cf_identity = 'climatology'#: Name of the netCDF variable attribute that identifies this CF-netCDF variable.

cf_name#: NetCDF variable name.

cf_terms_by_root#: CF-netCDF formula terms that his variable participates in.

has_formula_terms()#

Determine whether this CF-netCDF variable participates in a CF-netcdf formula term.

Return type:: bool

classmethod identify(variables, ignore=None, target=None, warn=True)[source]#

Identify all variables that match the criterion for this CF-netCDF variable class.

Parameters:

variables – Dictionary of netCDF4.Variable instance by variable name.
ignore (optional) – List of variable names to ignore.
target (optional) – Name of a single variable to check.
warn (bool, default=True) – Issue a warning if a missing variable is referenced.

Return type:

Dictionary of CFVariable instance by variable name.

spans(cf_variable)[source]#

Determine dimensionality coverage.

Determine whether the dimensionality of this variable is a subset of the specified target variable.

Note that, by default scalar variables always span the dimensionality of the target variable.

Parameters:: cf_variable (CFVariable) – Compare dimensionality with the CFVariable.
Return type:: bool

class iris.fileformats.cf.CFCoordinateVariable(name, data)[source]#

Bases: CFVariable

A CF-netCDF coordinate variable.

A CF-netCDF coordinate variable is a one-dimensional variable with the same name as its dimension, and it is defined as a numeric data type with values that are ordered monotonically. Missing values are not allowed in CF-netCDF coordinate variables. Also see [NUG] Section 2.3.1.

Identified by the above criterion, there is no associated CF-netCDF variable attribute.

Ref: [CF] 1.2. Terminology.

add_formula_term(root, term)#

Parameters:

root (str) – The name of CF-netCDF variable that defines the CF-netCDF formula_terms attribute.
term (str) – The associated term name of this variable in the formula_terms definition.

Return type:

None

cf_attrs()#: Return a list of all attribute name and value pairs of the CF-netCDF variable.

cf_attrs_ignored()#: Return a list of all ignored attribute name and value pairs of the CF-netCDF variable.

cf_attrs_reset()#: Reset the history of accessed attribute names of the CF-netCDF variable.

cf_attrs_unused()#: Return a list of all non-accessed attribute name and value pairs of the CF-netCDF variable.

cf_attrs_used()#: Return a list of all accessed attribute name and value pairs of the CF-netCDF variable.

cf_data#: NetCDF4 Variable data instance.

cf_group#: Collection of CF-netCDF variables associated with this variable.

cf_identity = None#: Name of the netCDF variable attribute that identifies this CF-netCDF variable.

cf_name#: NetCDF variable name.

cf_terms_by_root#: CF-netCDF formula terms that his variable participates in.

has_formula_terms()#

Determine whether this CF-netCDF variable participates in a CF-netcdf formula term.

Return type:: bool

classmethod identify(variables, ignore=None, target=None, warn=True, monotonic=False)[source]#

Identify all variables that match the criterion for this CF-netCDF variable class.

Parameters:

variables – Dictionary of netCDF4.Variable instance by variable name.
ignore (optional) – List of variable names to ignore.
target (optional) – Name of a single variable to check.
warn (bool, default=True) – Issue a warning if a missing variable is referenced.

Return type:

Dictionary of CFVariable instance by variable name.

spans(cf_variable)#

Determine dimensionality coverage.

Determine whether the dimensionality of this variable is a subset of the specified target variable.

Note that, by default scalar variables always span the dimensionality of the target variable.

Parameters:: cf_variable – Compare dimensionality with the CFVariable.
Return type:: bool

class iris.fileformats.cf.CFDataVariable(name, data)[source]#

Bases: CFVariable

A CF-netCDF variable containing data pay-load that maps to an Iris iris.cube.Cube.

add_formula_term(root, term)#

Parameters:

root (str) – The name of CF-netCDF variable that defines the CF-netCDF formula_terms attribute.
term (str) – The associated term name of this variable in the formula_terms definition.

Return type:

None

cf_attrs()#: Return a list of all attribute name and value pairs of the CF-netCDF variable.

cf_attrs_ignored()#: Return a list of all ignored attribute name and value pairs of the CF-netCDF variable.

cf_attrs_reset()#: Reset the history of accessed attribute names of the CF-netCDF variable.

cf_attrs_unused()#: Return a list of all non-accessed attribute name and value pairs of the CF-netCDF variable.

cf_attrs_used()#: Return a list of all accessed attribute name and value pairs of the CF-netCDF variable.

cf_data#: NetCDF4 Variable data instance.

cf_group#: Collection of CF-netCDF variables associated with this variable.

cf_identity = None#: Name of the netCDF variable attribute that identifies this CF-netCDF variable.

cf_name#: NetCDF variable name.

cf_terms_by_root#: CF-netCDF formula terms that his variable participates in.

has_formula_terms()#

Determine whether this CF-netCDF variable participates in a CF-netcdf formula term.

Return type:: bool

classmethod identify(variables, ignore=None, target=None, warn=True)[source]#

Identify all variables that match the criterion for this CF-netCDF variable class.

Parameters:

variables – Dictionary of netCDF4.Variable instance by variable name.
ignore (optional) – List of variable names to ignore.
target (optional) – Name of a single variable to check.
warn (bool, default=True) – Issue a warning if a missing variable is referenced.

Return type:

Dictionary of CFVariable instance by variable name.

spans(cf_variable)#

Determine dimensionality coverage.

Determine whether the dimensionality of this variable is a subset of the specified target variable.

Note that, by default scalar variables always span the dimensionality of the target variable.

Parameters:: cf_variable – Compare dimensionality with the CFVariable.
Return type:: bool

class iris.fileformats.cf.CFGridMappingVariable(name, data)[source]#

Bases: CFVariable

CF-netCDF grid mapping variable.

A CF-netCDF grid mapping variable contains a list of specific attributes that define a particular grid mapping. A CF-netCDF grid mapping variable must contain the attribute ‘grid_mapping_name’.

Based on the value of the ‘grid_mapping_name’ attribute, there are associated standard names of CF-netCDF coordinate variables that contain the mapping’s independent variables.

Identified by the CF-netCDF variable attribute ‘grid_mapping’.

Ref:

[CF] Section 5.6. Horizontal Coordinate Reference Systems, Grid Mappings, and Projections.
[CF] Appendix F. Grid Mappings.

add_formula_term(root, term)#

Parameters:

root (str) – The name of CF-netCDF variable that defines the CF-netCDF formula_terms attribute.
term (str) – The associated term name of this variable in the formula_terms definition.

Return type:

None

cf_attrs()#: Return a list of all attribute name and value pairs of the CF-netCDF variable.

cf_attrs_ignored()#: Return a list of all ignored attribute name and value pairs of the CF-netCDF variable.

cf_attrs_reset()#: Reset the history of accessed attribute names of the CF-netCDF variable.

cf_attrs_unused()#: Return a list of all non-accessed attribute name and value pairs of the CF-netCDF variable.

cf_attrs_used()#: Return a list of all accessed attribute name and value pairs of the CF-netCDF variable.

cf_data#: NetCDF4 Variable data instance.

cf_group#: Collection of CF-netCDF variables associated with this variable.

cf_identity = 'grid_mapping'#: Name of the netCDF variable attribute that identifies this CF-netCDF variable.

cf_name#: NetCDF variable name.

cf_terms_by_root#: CF-netCDF formula terms that his variable participates in.

has_formula_terms()#

Determine whether this CF-netCDF variable participates in a CF-netcdf formula term.

Return type:: bool

classmethod identify(variables, ignore=None, target=None, warn=True)[source]#

Identify all variables that match the criterion for this CF-netCDF variable class.

Parameters:

variables – Dictionary of netCDF4.Variable instance by variable name.
ignore (optional) – List of variable names to ignore.
target (optional) – Name of a single variable to check.
warn (bool, default=True) – Issue a warning if a missing variable is referenced.

Return type:

Dictionary of CFVariable instance by variable name.

spans(cf_variable)#

Determine dimensionality coverage.

Determine whether the dimensionality of this variable is a subset of the specified target variable.

Note that, by default scalar variables always span the dimensionality of the target variable.

Parameters:: cf_variable – Compare dimensionality with the CFVariable.
Return type:: bool

class iris.fileformats.cf.CFGroup[source]#

Bases: MutableMapping

Collection of ‘NetCDF CF Metadata Conventions variables and netCDF global attributes.

Represents a collection of ‘NetCDF Climate and Forecast (CF) Metadata Conventions’ variables and netCDF global attributes.

property ancillary_variables#: Collection of CF-netCDF ancillary variables.

property auxiliary_coordinates#: Collection of CF-netCDF auxiliary coordinate variables.

property bounds#: Collection of CF-netCDF boundary variables.

property cell_measures#: Collection of CF-netCDF measure variables.

clear() → None. Remove all items from D.#

property climatology#: Collection of CF-netCDF climatology variables.

property coordinates#: Collection of CF-netCDF coordinate variables.

property data_variables#: Collection of CF-netCDF data pay-load variables.

property formula_terms#: Collection of CF-netCDF variables that participate in a CF-netCDF formula term.

get(k[, d]) → D[k] if k in D, else d. d defaults to None.#

global_attributes#: Collection of netCDF global attributes

property grid_mappings#: Collection of CF-netCDF grid mapping variables.

items() → a set-like object providing a view on D's items#

keys()[source]#: Return the names of all the CF-netCDF variables in the group.

property labels#: Collection of CF-netCDF label variables.

property non_data_variable_names#: set names of the CF-netCDF variables that are not the data pay-load.

pop(k[, d]) → v, remove specified key and return the corresponding value.#: If key is not found, d is returned if given, otherwise KeyError is raised.

popitem() → (k, v), remove and return some (key, value) pair#: as a 2-tuple; but raise KeyError if D is empty.

promoted#: Collection of CF-netCDF variables promoted to a CFDataVariable.

setdefault(k[, d]) → D.get(k,d), also set D[k]=d if k not in D#

update([E, ]**F) → None. Update D from mapping/iterable E and F.#: If E present and has a .keys() method, does: for k in E: D[k] = E[k] If E present and lacks .keys() method, does: for (k, v) in E: D[k] = v In either case, this is followed by: for k, v in F.items(): D[k] = v

values() → an object providing a view on D's values#

class iris.fileformats.cf.CFLabelVariable(name, data)[source]#

Bases: CFVariable

Cariable is any netCDF variable that contain string textual information, or labels.

A CF-netCDF CF label variable is any netCDF variable that contain string textual information, or labels.

Identified by the CF-netCDF variable attribute ‘coordinates’. Also see iris.fileformats.cf.CFAuxiliaryCoordinateVariable.

Ref: [CF] Section 6.1. Labels.

add_formula_term(root, term)#

Parameters:

root (str) – The name of CF-netCDF variable that defines the CF-netCDF formula_terms attribute.
term (str) – The associated term name of this variable in the formula_terms definition.

Return type:

None

cf_attrs()#: Return a list of all attribute name and value pairs of the CF-netCDF variable.

cf_attrs_ignored()#: Return a list of all ignored attribute name and value pairs of the CF-netCDF variable.

cf_attrs_reset()#: Reset the history of accessed attribute names of the CF-netCDF variable.

cf_attrs_unused()#: Return a list of all non-accessed attribute name and value pairs of the CF-netCDF variable.

cf_attrs_used()#: Return a list of all accessed attribute name and value pairs of the CF-netCDF variable.

cf_data#: NetCDF4 Variable data instance.

cf_group#: Collection of CF-netCDF variables associated with this variable.

cf_identity = 'coordinates'#: Name of the netCDF variable attribute that identifies this CF-netCDF variable.

cf_label_data(cf_data_var)[source]#

Return the associated CF-netCDF label variable strings.

Parameters:: cf_data_var (iris.fileformats.cf.CFDataVariable) – The CF-netCDF data variable which the CF-netCDF label variable describes.
Return type:: str labels

cf_label_dimensions(cf_data_var)[source]#

Return the name of the associated CF-netCDF label variable data dimensions.

Parameters:: cf_data_var (iris.fileformats.cf.CFDataVariable) – The CF-netCDF data variable which the CF-netCDF label variable describes.
Return type:: Tuple of label data dimension names.

cf_name#: NetCDF variable name.

cf_terms_by_root#: CF-netCDF formula terms that his variable participates in.

has_formula_terms()#

Determine whether this CF-netCDF variable participates in a CF-netcdf formula term.

Return type:: bool

classmethod identify(variables, ignore=None, target=None, warn=True)[source]#

Identify all variables that match the criterion for this CF-netCDF variable class.

Parameters:

variables – Dictionary of netCDF4.Variable instance by variable name.
ignore (optional) – List of variable names to ignore.
target (optional) – Name of a single variable to check.
warn (bool, default=True) – Issue a warning if a missing variable is referenced.

Return type:

Dictionary of CFVariable instance by variable name.

spans(cf_variable)[source]#

Determine dimensionality coverage.

Determine whether the dimensionality of this variable is a subset of the specified target variable.

Note that, by default scalar variables always span the dimensionality of the target variable.

Parameters:: cf_variable – Compare dimensionality with the CFVariable.
Return type:: bool

class iris.fileformats.cf.CFMeasureVariable(name, data, measure)[source]#

Bases: CFVariable

A CF-netCDF measure variable is a variable that contains cell areas or volumes.

Identified by the CF-netCDF variable attribute ‘cell_measures’.

Ref: [CF] Section 7.2. Cell Measures.

add_formula_term(root, term)#

Parameters:

root (str) – The name of CF-netCDF variable that defines the CF-netCDF formula_terms attribute.
term (str) – The associated term name of this variable in the formula_terms definition.

Return type:

None

cf_attrs()#: Return a list of all attribute name and value pairs of the CF-netCDF variable.

cf_attrs_ignored()#: Return a list of all ignored attribute name and value pairs of the CF-netCDF variable.

cf_attrs_reset()#: Reset the history of accessed attribute names of the CF-netCDF variable.

cf_attrs_unused()#: Return a list of all non-accessed attribute name and value pairs of the CF-netCDF variable.

cf_attrs_used()#: Return a list of all accessed attribute name and value pairs of the CF-netCDF variable.

cf_data#: NetCDF4 Variable data instance.

cf_group#: Collection of CF-netCDF variables associated with this variable.

cf_identity = 'cell_measures'#: Name of the netCDF variable attribute that identifies this CF-netCDF variable.

cf_measure#: Associated cell measure of the cell variable

cf_name#: NetCDF variable name.

cf_terms_by_root#: CF-netCDF formula terms that his variable participates in.

has_formula_terms()#

Determine whether this CF-netCDF variable participates in a CF-netcdf formula term.

Return type:: bool

classmethod identify(variables, ignore=None, target=None, warn=True)[source]#

Identify all variables that match the criterion for this CF-netCDF variable class.

Parameters:

variables – Dictionary of netCDF4.Variable instance by variable name.
ignore (optional) – List of variable names to ignore.
target (optional) – Name of a single variable to check.
warn (bool, default=True) – Issue a warning if a missing variable is referenced.

Return type:

Dictionary of CFVariable instance by variable name.

spans(cf_variable)#

Determine dimensionality coverage.

Determine whether the dimensionality of this variable is a subset of the specified target variable.

Note that, by default scalar variables always span the dimensionality of the target variable.

Parameters:: cf_variable – Compare dimensionality with the CFVariable.
Return type:: bool

class iris.fileformats.cf.CFReader(file_source, warn=False, monotonic=False)[source]#

Bases: object

Allows the contents of a netCDF file to be interpreted.

This class allows the contents of a netCDF file to be interpreted according to the ‘NetCDF Climate and Forecast (CF) Metadata Conventions’.

class CFGroup#

Bases: MutableMapping

Collection of ‘NetCDF CF Metadata Conventions variables and netCDF global attributes.

Represents a collection of ‘NetCDF Climate and Forecast (CF) Metadata Conventions’ variables and netCDF global attributes.

property ancillary_variables#: Collection of CF-netCDF ancillary variables.

property auxiliary_coordinates#: Collection of CF-netCDF auxiliary coordinate variables.

property bounds#: Collection of CF-netCDF boundary variables.

property cell_measures#: Collection of CF-netCDF measure variables.

clear() → None. Remove all items from D.#

property climatology#: Collection of CF-netCDF climatology variables.

property coordinates#: Collection of CF-netCDF coordinate variables.

property data_variables#: Collection of CF-netCDF data pay-load variables.

property formula_terms#: Collection of CF-netCDF variables that participate in a CF-netCDF formula term.

get(k[, d]) → D[k] if k in D, else d. d defaults to None.#

global_attributes#: Collection of netCDF global attributes

property grid_mappings#: Collection of CF-netCDF grid mapping variables.

items() → a set-like object providing a view on D's items#

keys()#: Return the names of all the CF-netCDF variables in the group.

property labels#: Collection of CF-netCDF label variables.

property non_data_variable_names#: set names of the CF-netCDF variables that are not the data pay-load.

pop(k[, d]) → v, remove specified key and return the corresponding value.#: If key is not found, d is returned if given, otherwise KeyError is raised.

popitem() → (k, v), remove and return some (key, value) pair#: as a 2-tuple; but raise KeyError if D is empty.

promoted#: Collection of CF-netCDF variables promoted to a CFDataVariable.

setdefault(k[, d]) → D.get(k,d), also set D[k]=d if k not in D#

update([E, ]**F) → None. Update D from mapping/iterable E and F.#: If E present and has a .keys() method, does: for k in E: D[k] = E[k] If E present and lacks .keys() method, does: for (k, v) in E: D[k] = v In either case, this is followed by: for k, v in F.items(): D[k] = v

values() → an object providing a view on D's values#

cf_group#: Collection of CF-netCDF variables associated with this netCDF file

property filename#: The file that the CFReader is reading.

class iris.fileformats.cf.CFVariable(name, data)[source]#

Bases: object

Abstract base class wrapper for a CF-netCDF variable.

add_formula_term(root, term)[source]#

Parameters:

root (str) – The name of CF-netCDF variable that defines the CF-netCDF formula_terms attribute.
term (str) – The associated term name of this variable in the formula_terms definition.

Return type:

None

cf_attrs()[source]#: Return a list of all attribute name and value pairs of the CF-netCDF variable.

cf_attrs_ignored()[source]#: Return a list of all ignored attribute name and value pairs of the CF-netCDF variable.

cf_attrs_reset()[source]#: Reset the history of accessed attribute names of the CF-netCDF variable.

cf_attrs_unused()[source]#: Return a list of all non-accessed attribute name and value pairs of the CF-netCDF variable.

cf_attrs_used()[source]#: Return a list of all accessed attribute name and value pairs of the CF-netCDF variable.

cf_data#: NetCDF4 Variable data instance.

cf_group#: Collection of CF-netCDF variables associated with this variable.

cf_identity = None#: Name of the netCDF variable attribute that identifies this CF-netCDF variable.

cf_name#: NetCDF variable name.

cf_terms_by_root#: CF-netCDF formula terms that his variable participates in.

has_formula_terms()[source]#

Determine whether this CF-netCDF variable participates in a CF-netcdf formula term.

Return type:: bool

abstract identify(variables, ignore=None, target=None, warn=True)[source]#

Identify all variables that match the criterion for this CF-netCDF variable class.

Parameters:

variables – Dictionary of netCDF4.Variable instance by variable name.
ignore (optional) – List of variable names to ignore.
target (optional) – Name of a single variable to check.
warn (bool, default=True) – Issue a warning if a missing variable is referenced.

Return type:

Dictionary of CFVariable instance by variable name.

spans(cf_variable)[source]#

Determine dimensionality coverage.

Determine whether the dimensionality of this variable is a subset of the specified target variable.

Note that, by default scalar variables always span the dimensionality of the target variable.

Parameters:: cf_variable – Compare dimensionality with the CFVariable.
Return type:: bool

iris.fileformats.cf.reference_terms = {'atmosphere_hybrid_height_coordinate': ['orog'], 'atmosphere_hybrid_sigma_pressure_coordinate': ['ps'], 'atmosphere_sigma_coordinate': ['ps'], 'atmosphere_sleve_coordinate': ['zsurf1', 'zsurf2'], 'ocean_s_coordinate': ['eta', 'depth'], 'ocean_s_coordinate_g1': ['eta', 'depth'], 'ocean_s_coordinate_g2': ['eta', 'depth'], 'ocean_sigma_coordinate': ['eta', 'depth'], 'ocean_sigma_z_coordinate': ['eta', 'depth']}#: Supported dimensionless vertical coordinate reference surface/phemomenon formula terms. Ref: [CF] Appendix D.