import matplotlib.pyplot as plt
import os
import glob
import IPython
from IPython import embed
"""
'lines = os.open('2020-06-22-aa', 'beats-eod.dat')
print(lines)
embed()
"""



def parse_dataset(dataset_name):
    assert(os.path.exists(dataset_name))
    f = open(dataset_name, 'r')
    lines = f.readlines()
    f.close()
    print(type(lines))

    time = []
    frequencies = []
    amplitudes = []

    for i in range(len(lines)):
        print(lines[i])
        l = lines[i].strip()

        if len(l) > 0 and l[0] is not '#':
            temp = list(map(float, l.split(l)))

            time.append([0])
            frequencies.append([1])
            amplitudes.append([2])

    return time, frequencies, amplitudes


plt.plot(time, frequencies)