dqa.tasks.time_series.PandasSeriesTask#
- class dqa.tasks.time_series.PandasSeriesTask(index_name: str | List[str] | None = None, modify_index: bool = False, **kwargs)#
Abstract base class for a task that works on a pandas Series.
An action is performed by overriding the modify_series() method, which takes the data in a pandas Series as an argument and returns a Series again. Only the data rows given in input_name are taken into those Series. Compared to the PandasDataFrameTask, each input given in input_name is processed separately.
- Parameters:
index_name (str or list of strings, default=None) – The content of this data row will be used as the index for the Series. If one value is given here, it will be used as the index for all data rows specified in input_name. Otherwise, the number must be equal to the number of data rows specified in input_name.
modify_index (bool, default=False) – Indicates if the result of modifications of the index of the DataFrame should be stored in the dataset.
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
log
modify_data_row
modify_dataset
modify_dataset_dict
modify_machine
modify_measurement
modify_series
set_logging_level
transfer_metadata