SileCDF

class sisl.io.SileCDF(filename, mode='r', lvl=0, access=1, _open=True)[source]

Base class for NetCDF files

Attributes

file Filename of the current Sile

Methods

__init__(filename[, mode, lvl, access, _open]) Creates/Opens a SileCDF
close()
exist() Query whether the file exists
isDataset(obj) Return true if obj is an instance of the NetCDF4 Dataset type
isDimension(obj) Return true if obj is an instance of the NetCDF4 Dimension type
isGroup(obj) Return true if obj is an instance of the NetCDF4 Group type
isRoot(obj) Return true if obj is an instance of the NetCDF4 Dataset type
isVariable(obj) Return true if obj is an instance of the NetCDF4 Variable type
iter([group, dimension, variable, levels, root]) Iterator on all groups, variables and dimensions.
read(*args, **kwargs) Generic read method which should be overloaded in child-classes
write(*args, **kwargs) Generic write method which should be overloaded in child-classes
close()[source]
exist()

Query whether the file exists

file

Filename of the current Sile

classmethod isDataset(obj)[source]

Return true if obj is an instance of the NetCDF4 Dataset type

This is just a wrapper for isinstance(obj, netCDF4.Dataset).

classmethod isDimension(obj)[source]

Return true if obj is an instance of the NetCDF4 Dimension type

This is just a wrapper for isinstance(obj, netCDF4.Dimension).

classmethod isGroup(obj)[source]

Return true if obj is an instance of the NetCDF4 Group type

This is just a wrapper for isinstance(obj, netCDF4.Group).

classmethod isRoot(obj)

Return true if obj is an instance of the NetCDF4 Dataset type

This is just a wrapper for isinstance(obj, netCDF4.Dataset).

classmethod isVariable(obj)[source]

Return true if obj is an instance of the NetCDF4 Variable type

This is just a wrapper for isinstance(obj, netCDF4.Variable).

iter(group=True, dimension=True, variable=True, levels=-1, root=None)[source]

Iterator on all groups, variables and dimensions.

This iterator iterates through all groups, variables and dimensions in the Dataset

The generator sequence will _always_ be:

  1. Group
  2. Dimensions in group
  3. Variables in group

As the dimensions are generated before the variables it is possible to copy groups, dimensions, and then variables such that one always ensures correct dependencies in the generation of a new SileCDF.

Parameters:

group : bool (True)

whether the iterator yields Group instances

dimension : bool (True)

whether the iterator yields Dimension instances

variable : bool (True)

whether the iterator yields Variable instances

levels : int (-1)

number of levels to traverse, with respect to root variable, i.e. number of sub-groups this iterator will return.

root : str (None)

the base root to start iterating from.

Examples

Script for looping and checking each instance.

>>> for gv in self.iter(): 
...     if self.isGroup(gv): 
...         # is group 
...     elif self.isDimension(gv): 
...         # is dimension 
...     elif self.isVariable(gv): 
...         # is variable 
read(*args, **kwargs)

Generic read method which should be overloaded in child-classes

Parameters:

**kwargs :

keyword arguments will try and search for the attribute read_<> and call it with the remaining **kwargs as arguments.

write(*args, **kwargs)

Generic write method which should be overloaded in child-classes

Parameters:

**kwargs :

keyword arguments will try and search for the attribute write_ and call it with the remaining **kwargs as arguments.