pat2vec.util.methods_annotation_filter_annot_dataframe
Functions
|
Filters an annotation DataFrame based on specified criteria. |
- pat2vec.util.methods_annotation_filter_annot_dataframe.filter_annot_dataframe(dataframe, filter_args)[source]
Filters an annotation DataFrame based on specified criteria.
This function applies a series of filters to a MedCAT annotation DataFrame. It supports filtering by: - Meta-annotation values (e.g., Time_Value, Presence_Value). - Confidence scores for meta-annotations (e.g., Time_Confidence). - Annotation accuracy (acc). - Annotation types (e.g., ‘disorder’, ‘procedure’).
- Parameters:
dataframe (
DataFrame) – The annotation DataFrame to filter.filter_args (
Dict[str,Any]) – A dictionary where keys are column names and values are the criteria to filter by. For confidence/accuracy scores, the value is a minimum threshold. For value columns, it’s a list of allowed values.
- Return type:
DataFrame- Returns:
The filtered DataFrame.