openmc.MeshFilter
- class openmc.MeshFilter(mesh, filter_id=None)[source]
Bins tally event locations by mesh elements.
- Parameters:
mesh (openmc.MeshBase) – The mesh object that events will be tallied onto
filter_id (int) – Unique identifier for the filter
- Variables:
mesh (openmc.MeshBase) – The mesh object that events will be tallied onto
id (int) – Unique identifier for the filter
translation (Iterable of float) – This array specifies a vector that is used to translate (shift) the mesh for this filter
bins (list of tuple) – A list of mesh indices for each filter bin, e.g. [(1, 1, 1), (2, 1, 1), …]
num_bins (Integral) – The number of filter bins
- can_merge(other)[source]
Determine if filter can be merged with another.
- Parameters:
other (openmc.Filter) – Filter to compare with
- Returns:
Whether the filter can be merged
- Return type:
- classmethod from_hdf5(group, **kwargs)[source]
Construct a new Filter instance from HDF5 data.
- Parameters:
group (h5py.Group) – HDF5 group to read from
- Keyword Arguments:
meshes (dict) – Dictionary mapping integer IDs to openmc.MeshBase objects. Only used for openmc.MeshFilter objects.
- classmethod from_xml_element(elem: Element, **kwargs) MeshFilter[source]
Generate a filter from an XML element
- Parameters:
elem (lxml.etree._Element) – XML element
**kwargs – Keyword arguments (e.g., mesh information)
- Returns:
Filter object
- Return type:
- get_pandas_dataframe(data_size, stride, **kwargs)[source]
Builds a Pandas DataFrame for the Filter’s bins.
This method constructs a Pandas DataFrame object for the filter with columns annotated by filter bin information. This is a helper method for
Tally.get_pandas_dataframe().- Parameters:
- Returns:
A Pandas DataFrame with three columns describing the x,y,z mesh cell indices corresponding to each filter bin. The number of rows in the DataFrame is the same as the total number of bins in the corresponding tally, with the filter bin appropriately tiled to map to the corresponding tally bins.
- Return type:
See also
Tally.get_pandas_dataframe,CrossFilter.get_pandas_dataframe