def sigcontainer(self) -> SigContainer: return SigContainer.from_csv(self._filepath, dialect=self.dialect, header=self.header, default_unit=self.default_unit, fs=self.fs, transpose=self.transpose, annotation=self.annotation)
import matplotlib from sigpipes.sigcontainer import SigContainer from sigpipes.sigoperator import (Print, UfuncOnSignals, Convolution, FeatureExtraction, SampleSplitter) from sigpipes.joiner import JoinChannels from sigpipes.plotting import Plot, GraphOpts import numpy as np from glob import glob for filename in glob("/mnt/windows/Dokumenty/26_02_2020_11_38/1hp.txt"): print(filename) (SigContainer.from_csv( filename, header=False, fs=250, annotation="/home/fiser/IKON/ICON/anotace/1hp.a.csv") | Print() | Plot(annot_specs=[("1hp.a/S", "1hp.a/H")], graph_opts=GraphOpts(title=[filename]))).show()