cfdm.Count


class cfdm.Count(properties=None, data=None, source=None, copy=True, _use_data=True)[source]

Bases: cfdm.mixin.netcdf.NetCDFVariable, cfdm.mixin.netcdf.NetCDFDimension, cfdm.mixin.netcdf.NetCDFSampleDimension, cfdm.mixin.propertiesdata.PropertiesData, cfdm.core.abstract.propertiesdata.PropertiesData

A count variable required to uncompress a ragged array.

A collection of features stored using a contiguous ragged array combines all features along a single dimension (the sample dimension) such that each feature in the collection occupies a contiguous block.

The information needed to uncompress the data is stored in a count variable that gives the size of each block.

NetCDF interface

The netCDF variable name of the count variable may be accessed with the nc_set_variable, nc_get_variable, nc_del_variable and nc_has_variable methods.

The name of the netCDF dimension spanned by the count variable’s data may be accessed with the nc_set_dimension, nc_get_dimension, nc_del_dimension and nc_has_dimension methods.

The name of the netCDF sample dimension spanned by the compressed data (that is stored in the “sample_dimension” netCDF attribute and which does not correspond to a domain axis construct) may be accessed with the nc_set_sample_dimension, nc_get_sample_dimension, nc_del_sample_dimension and nc_has_sample_dimension methods.

New in version 1.7.0.

Initialization

Parameters:
properties: dict, optional

Set descriptive properties. The dictionary keys are property names, with corresponding values. Ignored if the source parameter is set.

Parameter example:

properties={'long_name': 'number of obs for this station'}

Properties may also be set after initialisation with the set_properties and set_property methods.

data: Data, optional

Set the data array. Ignored if the source parameter is set.

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

source: optional

Initialize the properties and data from those of source.

copy: bool, optional

If False then do not deep copy input parameters prior to initialization. By default arguments are deep copied.

Inspection

Methods

dump A full description of the count variable.
identity Return the canonical identity.
identities Return all possible identities.

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.
set_properties Set properties.

Data

Methods

del_data Remove the data.
get_data Return the data.o
has_data Whether a data has been set.
set_data Set the data.
insert_dimension Expand the shape of the data array.
squeeze Remove size one axes from the data array.
transpose Permute the axes of the data array.

Attributes

data Return the data.

Miscellaneous

Methods

copy Return a deep copy.
equals Whether two instances are the same.

NetCDF

Methods

nc_del_variable Remove the netCDF variable name.
nc_get_variable Return the netCDF variable name.
nc_has_variable Whether the netCDF variable name has been set.
nc_set_variable Set the netCDF variable name.
nc_del_sample_dimension Remove the netCDF sample dimension name.
nc_get_sample_dimension Return the netCDF sample dimension name.
nc_has_sample_dimension Whether the netCDF sample dimension name has been set.
nc_set_sample_dimension Set the netCDF sample dimension name.
nc_del_dimension Remove the netCDF dimension name.
nc_get_dimension Return the netCDF dimension name.
nc_has_dimension Whether the netCDF dimension name has been set.
nc_set_dimension Set the netCDF dimension name.

Special

Methods

__deepcopy__ Called by the copy.deepcopy function.
__getitem__ Return a subspace defined by indices
__repr__ Called by the repr built-in function.
__str__ Called by the str built-in function.