process_synthetic_data.py
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	import csv
	import numpy as np
	import pandas as pd


	def interpolate(path, mode, n):
	print("\033[1;37;48m Interpolating missing values in the file ", str(n), '...')
	df = pd.read_table(path + 'files_missingdata_' + str(i) + '/' + mode + '/input/file_0.txt', delimiter=' ',
	dtype='float32', header=None)

	df = df.apply(lambda x: x.interpolate(method='index', axis=0, limit_direction='both')).astype(float)

	print(df.head(5))

	#df.to_csv(path + '/Signals' + str(i) + '.txt', sep=';', header=False)

	path = '../../synthetic_data/'
	mode = 'train'

	interpolate(path, mode, 30)