MergeConsecutiveOp¶
- class MergeConsecutiveOp(parameters)[source]
Merge consecutive rows with same column value.
- Required remodeling parameters:
column_name (str): name of column whose consecutive values are to be compared (the merge column).
event_code (str or int or float): the particular value in the match column to be merged.
match_columns (list): A list of columns whose values have to be matched for two events to be the same.
set_durations (bool): If true, set the duration of the merged event to the extent of the merged events.
ignore_missing (bool): If true, missing match_columns are ignored.
Methods
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Constructor for the merge consecutive operation. |
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Verify that the parameters meet the operation specification. |
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Merge consecutive rows with the same column value. |
Attributes
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- MergeConsecutiveOp.__init__(parameters)[source]¶
Constructor for the merge consecutive operation.
- Parameters:
parameters (dict) – Actual values of the parameters for the operation.
- Raises:
KeyError –
If a required parameter is missing.
If an unexpected parameter is provided.
TypeError –
If a parameter has the wrong type.
ValueError –
If the specification is missing a valid operation.
If one of the match column is the merge column.
- MergeConsecutiveOp.check_parameters(parameters)¶
Verify that the parameters meet the operation specification.
- Parameters:
parameters (dict) – Dictionary of parameters for this operation.
- Raises:
KeyError –
If a required parameter is missing.
If an unexpected parameter is provided.
TypeError –
If a parameter has the wrong type.
- MergeConsecutiveOp.do_op(dispatcher, df, name, sidecar=None)[source]¶
Merge consecutive rows with the same column value.
- 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) – Not needed for this operation.
- Returns:
A new dataframe after processing.
- Return type:
Dataframe
- Raises:
ValueError –
If dataframe does not have the anchor column and ignore_missing is False.
If a match column is missing and ignore_missing is false.
If the durations were to be set and the dataframe did not have an onset column.
If the durations were to be set and the dataframe did not have a duration column.
- MergeConsecutiveOp.PARAMS = {'operation': 'merge_consecutive', 'optional_parameters': {}, 'required_parameters': {'column_name': <class 'str'>, 'event_code': [<class 'str'>, <class 'int'>, <class 'float'>], 'ignore_missing': <class 'bool'>, 'match_columns': <class 'list'>, 'set_durations': <class 'bool'>}}¶