Dataset

class metpy.io.cdm.Dataset[source]

Represents a set of data using the Common Data Model (CDM).

This is currently only a wrapper around the root Group.

Initialize a Dataset.

Methods Summary

__init__() Initialize a Dataset.
createDimension(name, size) Create a new Dimension in this Group.
createGroup(name) Create a new Group as a descendant of this one.
createVariable(name, datatype[, dimensions, …]) Create a new Variable in this Group.
ncattrs() Get a list of the names of the netCDF attributes.

Methods Documentation

__init__()[source]

Initialize a Dataset.

createDimension(name, size)

Create a new Dimension in this Group.

Parameters:
  • name (str) – The name of the new Dimension.
  • size (int) – The size of the Dimension
Returns:

Dimension – The newly created Dimension
createGroup(name)

Create a new Group as a descendant of this one.

Parameters:name (str) – The name of the new Group.
Returns:Group – The newly created Group
createVariable(name, datatype, dimensions=(), fill_value=None, wrap_array=None)

Create a new Variable in this Group.

Parameters:
  • name (str) – The name of the new Variable.
  • datatype (str or numpy.dtype) – A valid Numpy dtype that describes the layout of the data within the Variable.
  • dimensions (tuple[str], optional) – The dimensions of this Variable. Defaults to empty, which implies a scalar variable.
  • fill_value (number, optional) – A scalar value that is used to fill the created storage. Defaults to None, which performs no filling, leaving the storage uninitialized.
  • wrap_array (numpy.ndarray, optional) – Instead of creating an array, the Variable instance will assume ownership of the passed in array as its data storage. This is a performance optimization to avoid copying large data blocks. Defaults to None, which means a new array will be created.
Returns:

Variable – The newly created Variable
ncattrs()

Get a list of the names of the netCDF attributes.

Returns:List[str]