Data filtering task classes (dqa.tasks.data_filtering)

CleanEmpty(**kwargs)	Methods
EnsureDataRows([length])	Ensures that data rows with name specified by input_name exist in every measurement.
FirstOfEachKey(key_name, **kwargs)	In a table, with one 'key' data row, take the first entry for every key value.
MeasurementReduction(num_measurements, **kwargs)	Reduces the size of the measurement list to a certain approximate, for example for visualization purposes.
RemoveByMetadataValue(metadata_name, value)	Removes all measurements with a specific metadata value.
RemoveEntriesByCondition(condition_name[, ...])	In a measurement containing a table, remove all entries that satisfy a condition given by one data row.
RemoveMeasurementsByCondition(condition_name)	Removes measurements for which a condition given in a data row is fulfilled.
RemoveMultiples(key_name, **kwargs)	In a table, remove entries with equal values in one key data row.
RemoveRowsRegex(regex[, inverse])	Remove data rows whose name is matched by a regex.
RestrictDatasets(**kwargs)	Restrict the datasets to the ones specified in input_dataset.
RestrictMachines([inverse])	Restrict the machines in the dataset to the ones specified in input_machine.
RestrictMeasurements(index, **kwargs)	Restricts the measurements in each machine to the ones with specified indices.
RestrictToDataRows(input_name, **kwargs)	Restricts each measurement to the data rows given by input_name.
RestrictToMeasurementsWithExisting(...)	Restricts to the measurements that contain all the data rows given in input_name.
RestrictToNonNan([truncate_name])	Restricts measurements containing tables to those entries in which all rows specified in input_name have non-nan values.
RestrictToValidRange([restrict_start, ...])	Removes nan values at the beginning or at the end of each data row.