scipy.io.netcdf.netcdf_variable

class scipy.io.netcdf.netcdf_variable(data, typecode, size, shape, dimensions, attributes=None)

A data object for the netcdf module.

netcdf_variable objects are constructed by calling the method netcdf_file.createVariable on the netcdf_file object. netcdf_variable objects behave much like array objects defined in numpy, except that their data resides in a file. Data is read by indexing and written by assigning to an indexed subset; the entire array can be accessed by the index [:] or (for scalars) by using the methods getValue and assignValue. netcdf_variable objects also have attribute shape with the same meaning as for arrays, but the shape cannot be modified. There is another read-only attribute dimensions, whose value is the tuple of dimension names.

All other attributes correspond to variable attributes defined in the NetCDF file. Variable attributes are created by assigning to an attribute of the netcdf_variable object.

Parameters :

data : array_like

The data array that holds the values for the variable. Typically, this is initialized as empty, but with the proper shape.

typecode : dtype character code

Desired data-type for the data array.

size : int

Desired element size for the data array.

shape : sequence of ints

The shape of the array. This should match the lengths of the variable’s dimensions.

dimensions : sequence of strings

The names of the dimensions used by the variable. Must be in the same order of the dimension lengths given by shape.

attributes : dict, optional

Attribute values (any type) keyed by string names. These attributes become attributes for the netcdf_variable object.

See also

isrec, shape

Attributes

dimensions	(list of str) List of names of dimensions used by the variable object.
isrec, shape	Properties

Methods

assignValue(value)	Assign a scalar value to a netcdf_variable of length one.
getValue()	Retrieve a scalar value from a netcdf_variable of length one.
itemsize()	Return the itemsize of the variable.
typecode()	Return the typecode of the variable.