text_plain_output_1.png
import glob

import matplotlib.pyplot as plt

import numpy as np # linear algebra

import pathlib

import glob
import pathlib
head = pathlib.Path('../input/g2net-gravitational-wave-detection')
train_files = sorted(glob.glob('../input/g2net-gravitational-wave-detection/train/*/*/*/*.npy'))

wave = np.load(train_files[0])

plt.figure(dpi=120)
for i in range(len(wave)):
    plt.plot(range(len(wave[i])), wave[i], label=f'label_{i}')
plt.legend()