import pandas as pd
from scipy import stats
# import sklearn as sk
# import sklearn.preprocessing as skpre
import numpy as np
from sys import argv
import argparse

import libword

def parseArgs(argv):
    parser = argparse.ArgumentParser(description='ex1')
    parser.add_argument('--datadir','-d', type=str,
            help='directory for data files')
    parser.add_argument('--window','-w', type=int,
            help='window')
    parser.add_argument('--shift','-s', type=int,
            help='shift')
    parser.add_argument('--resolution','-r', type=int,
            help='resolution')

    args = parser.parse_args()
    return vars(args)

def readDatadir(datadir):
    import glob
    frames = list()
    for dfile in glob.glob(datadir+"/*/*.csv"):
        tmp = libword.read_csv(dfile)
        frames.append(tmp)
    return frames

if __name__ == '__main__':
    args = parseArgs(argv)
    dfIter = readDatadir(args["datadir"])