ltbio.processing.formaters#

Overview#

Submodules#

Classes#

Normalizer

Pipeline Unit that normalizes Timeseries.

Segmenter

This PipelineUnit can segment one Timeseries at a time.

Contents#

class ltbio.processing.formaters.Normalizer(method='mean', name: str = '')#

Bases: ltbio.pipeline.PipelineUnit.SinglePipelineUnit

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Pipeline Unit that normalizes Timeseries.

ART_PATH = 'resources/pipeline_media/segmenter.png'#
PIPELINE_INPUT_LABELS#
PIPELINE_OUTPUT_LABELS#
apply(timeseries: ltbio.biosignals.Timeseries)#
class ltbio.processing.formaters.Segmenter(window_length: datetime.timedelta, overlap_length: datetime.timedelta = timedelta(seconds=0), name=None)#

Bases: ltbio.pipeline.PipelineUnit.SinglePipelineUnit

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This PipelineUnit can segment one Timeseries at a time.

ART_PATH = 'resources/pipeline_media/segmenter.png'#
PIPELINE_INPUT_LABELS#
PIPELINE_OUTPUT_LABELS#
apply(timeseries: ltbio.biosignals.Timeseries) → ltbio.biosignals.Timeseries#

# FIXME: Uncomment this. if len(timeseries.segments) > 0:

adjacent = True for i in range(1, len(timeseries.segments)):

if not timeseries.segments[i-1].adjacent(timeseries.segments[i]): # assert they’re adjacent

adjacent = False break

if not adjacent:

x = input(f”Segments of {timeseries.name} are not adjacent. Join them? (y/n) “).lower() if x == ‘y’:

pass # go ahead

else:

raise AssertionError(‘Framework does not support segmenting non-adjacent segments, unless you want to join them. Try indexing the time period of interest first.’)