openmc.MeshFilter¶

class openmc.MeshFilter(mesh, filter_id=None)[source]¶

Bins tally event locations onto a regular, rectangular mesh.

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 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:	bool

classmethod from_hdf5(group, **kwargs)[source]¶

Construct a new Filter instance from HDF5 data.

Keyword Arguments:
Parameters:	group (h5py.Group) – HDF5 group to read from
	meshes (dict) – Dictionary mapping integer IDs to openmc.MeshBase objects. Only used for openmc.MeshFilter objects.

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:	data_size (int) – The total number of bins in the tally corresponding to this filter stride (int) – Stride in memory for the filter
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:	pandas.DataFrame

Returns:	element – XML element containing filter data
Return type:	xml.etree.ElementTree.Element