from matplotlib import pyplot as plt
import matplotlib.ticker as ticker
import numpy as np


def std_plot():
 overall_std = [34.369, 21.366, 16.516, 11.151]
 max_std = [36.769, 21.794, 14.390, 4.684]
 plt.figure()
 plt.plot(overall_std, label='average_std')

 plt.plot(max_std, label='max_std')
 plt.legend()
 plt.xlabel('window')
 plt.ylabel('std')
 plt.xticks(range(len(max_std)))
 # plt.gca().xaxis.set_major_formatter(ticker.FormatStrFormatter('%1.1f'))

 plt.show()

std_plot()

from matplotlib import pyplot as plt
import matplotlib.ticker as ticker
import numpy as np


def std_plot():
 overall_std = [34.369, 21.366, 16.516, 11.151]
 max_std = [36.769, 21.794, 14.390, 4.684]
 plt.figure()
 plt.plot(overall_std, label='average_std')

 plt.plot(max_std, label='max_std')
 plt.legend()
 plt.xlabel('window')
 plt.ylabel('std')
 # plt.xticks(range(len(max_std)))
 plt.gca().xaxis.set_major_formatter(ticker.FormatStrFormatter('%1.1f'))

 plt.show()


std_plot()