import os import pandas as pd dataDir = os.path.abspath('./data') _df = pd.DataFrame() _df.names = ['Trial Number', 'Sensor Position', 'Sample Number', 'Sensor Value', 'Identifier', 'Matching Condition'] for subdir, dirs, files in os.walk(dataDir): for file in files: if file.__contains__('.gz'): df = pd.read_csv(os.path.join(subdir, file), compression='gzip', header=None, sep=' ', skiprows=5) idf = (pd.read_csv(os.path.join(subdir, file), compression='gzip', header=None, sep=' ', nrows=1)[1]) df[5] = (idf[0])[3] mco = (pd.read_csv(os.path.join(subdir, file), compression='gzip', header=None, sep=' ', nrows=1, skiprows=[0,1,2])) mc0 = str((mco[1] + " " + mco[2])).split(',')[0] df[6] = mc0 _df = _df.append(df) print(_df)
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