openmc.CellInstanceFilter¶
- class openmc.CellInstanceFilter(bins, filter_id=None)[source]¶
Bins tally events based on which cell instance a particle is in.
This filter is similar to
DistribcellFilter
but allows one to select particular instances to be tallied (instead of obtaining all instances by default) and allows instances from different cells to be specified in a single filter.New in version 0.12.
- Parameters
bins (iterable of 2-tuples or numpy.ndarray) – The cell instances to tally, given as 2-tuples. For the first value in the tuple, either openmc.Cell objects or their integral ID numbers can be used. The second value indicates the cell instance.
filter_id (int) – Unique identifier for the filter
- Variables
bins (numpy.ndarray) – 2D numpy array of cell IDs and instances
id (int) – Unique identifier for the filter
num_bins (Integral) – The number of filter bins
See also
- 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_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 a multi-index column for the cell instance. 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