dqa.tasks.time_series.WindowSplit#

class dqa.tasks.time_series.WindowSplit(window_length: int, overlap: int = 0, keep_size: bool = False, sampling_time_name: str | None = None, **kwargs)#

Splits input arrays into windows of a fixed length.

For an input array of shape (length, …), the result has shape (number_of_windows, …, window_length). The windows generated in this process can be chosen to have a specified overlap.

Parameters:

window_length (int) – The length of each of the windows.
overlap (int, default=0) – The number of indices for the overlap of the windows.
keep_size (bool, default=False) – If set, the size along the first axis remains the same. In this case, the overlap is set to window_length - 1. The array is padded with zero entries along axis 0 to match the required size.
sampling_time_name (str, optional, default=None) – Name of the sampling time field in the metadata. If set, then this field will be adjusted according to the rearrangement of the data.

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
set_logging_level
set_new_metadata_sampling_time
transfer_metadata