dqa.tasks.data_structure.Join

class dqa.tasks.data_structure.Join(measurements: str = 'all', concatenate_rows: bool = True, **kwargs)

Joins parts of the data sets on possibly multiple levels (data sets, machines, measurements, data rows).

If multiple data sets should be joined to one, then multiple values are given for input_dataset and exactly one for output_dataset. Analogously, also machines and data rows (by concatenation) can be joined.

Parameters:

• measurements (str, default='all') –

  Determines how measurements should be merged. Possible values are: - ‘all’: All measurements are merged, including those within each machine. - ‘per_index’: Only measurements with the same index within their machine are joined if the containing machines

  are joined.

  • ’none’: No measurements are joined. If machines are joined, then their measurement lists will be concatenated.

• concatenate_rows (bool, default=True) – Indicates whether rows of the same name should be concatenated. Otherwise, each of them overwrites the previous one.

Methods

finish()

Can perform actions that are required to clean up after the task has finished, e.g. close network connections etc.

in_out_default
input_output_dataset
input_output_machine
input_output_mode
input_output_name
join_data_rows
join_datasets
join_machines
join_measurements
log
modify_data_row
modify_dataset
modify_dataset_dict
modify_machine
modify_measurement
set_logging_level
transfer_metadata