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)

ML_ECMO/code/synthetic_data_processing/process_synthetic_data.pyb71ab0e3472emaster