openmc.Filter¶
- class openmc.Filter(bins, filter_id=None)[source]¶
Tally modifier that describes phase-space and other characteristics.
- Parameters
bins (Integral or Iterable of Integral or Iterable of Real) – The bins for the filter. This takes on different meaning for different filters. See the docstrings for subclasses of this filter or the online documentation for more details.
filter_id (int) – Unique identifier for the filter
- Variables
- 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, **kwargs)[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_bin_index(filter_bin)[source]¶
Returns the index in the Filter for some bin.
- Parameters
filter_bin (int or tuple) – The bin is the integer ID for ‘material’, ‘surface’, ‘cell’, ‘cellborn’, and ‘universe’ Filters. The bin is an integer for the cell instance ID for ‘distribcell’ Filters. The bin is a 2-tuple of floats for ‘energy’ and ‘energyout’ filters corresponding to the energy boundaries of the bin of interest. The bin is an (x,y,z) 3-tuple for ‘mesh’ filters corresponding to the mesh cell of interest.
- Returns
filter_index – The index in the Tally data array for this filter bin.
- 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
- Keyword Arguments
paths (bool) – Only used for DistribcellFilter. If True (default), expand distribcell indices into multi-index columns describing the path to that distribcell through the CSG tree. NOTE: This option assumes that all distribcell paths are of the same length and do not have the same universes and cells but different lattice cell indices.
- Returns
A Pandas DataFrame with columns of strings that characterize the filter’s bins. 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
- is_subset(other)[source]¶
Determine if another filter is a subset of this filter.
If all of the bins in the other filter are included as bins in this filter, then it is a subset of this filter.
- Parameters
other (openmc.Filter) – The filter to query as a subset of this filter
- Returns
Whether or not the other filter is a subset of this filter
- Return type
- merge(other)[source]¶
Merge this filter with another.
- Parameters
other (openmc.Filter) – Filter to merge with
- Returns
merged_filter – Filter resulting from the merge
- Return type