FactorHedTypeOp¶
- class FactorHedTypeOp(parameters)[source]
Append to columnar file the factors computed from type variables.
- Required remodeling parameters:
type_tag (str): HED tag used to find the factors (most commonly condition-variable).
- Optional remodeling parameters:
type_values (list): If provided, specifies which factor values to include.
Methods
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Constructor for the factor HED type operation. |
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Factor columns based on HED type and append to tabular data. |
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Additional validation required of operation parameters not performed by JSON schema validator. |
Attributes
- FactorHedTypeOp.__init__(parameters)[source]¶
Constructor for the factor HED type operation.
- Parameters:
parameters (dict) – Actual values of the parameters for the operation.
- FactorHedTypeOp.do_op(dispatcher, df, name, sidecar=None)[source]¶
Factor columns based on HED type and append to tabular data.
- Parameters:
dispatcher (Dispatcher) – Manages the operation I/O.
df (DataFrame) – The DataFrame to be remodeled.
name (str) – Unique identifier for the dataframe – often the original file path.
sidecar (Sidecar or file-like) – Only needed for HED operations.
- Returns:
A new DataFame with that includes the factors.
- Return type:
DataFrame
Notes
If column_name is not a column in df, df is just returned.
- static FactorHedTypeOp.validate_input_data(parameters)[source]¶
Additional validation required of operation parameters not performed by JSON schema validator.
- FactorHedTypeOp.NAME = 'factor_hed_type'¶
- FactorHedTypeOp.PARAMS = {'additionalProperties': False, 'properties': {'type_tag': {'description': 'Type tag to use for computing factor vectors (e.g., Condition-variable or Task).', 'type': 'string'}, 'type_values': {'description': 'If provided, only compute one-hot factors for these values of the type tag.', 'items': {'type': 'string'}, 'minItems': 1, 'type': 'array', 'uniqueItems': True}}, 'required': ['type_tag'], 'type': 'object'}¶