import numpy as np
from matplotlib import pyplot as plt
import scipy as sp
from matplotlib import markers
blue = '#0984e3'
red = '#d63031'

x = np.arange(1, 16)
tc = np.loadtxt("outputs/EID_CLASSIC.csv", delimiter=',')
ts = np.loadtxt("outputs/EID_SURVIVE.csv", delimiter=',')

fig = plt.figure(figsize=(6,4.5))
ax = fig.gca()
ax.plot(x[:-1], tc[:-1], 'o--', color='limegreen', linewidth=2, label=r"Classic")
ax.plot(x[:-1], ts[:-1], 'o-', color='darkorange', linewidth=2, label=r"Dissipative")

ax.set_ylim(-1500, 500)
ax.set_yticks(sp.linspace(-1500, 500, 6))
ax.tick_params(labelsize=14)
ax.set_xlim(1, 15)
ax.set_xticks(sp.linspace(1,15,8, dtype=int))
ax.set_xlabel("Rounds", size=22)
ax.set_ylabel(r"$\theta$", family='sans-serif', size=22)
# ax.tick_params(axis='y', labelcolor=red)

plt.legend(numpoints=2, fontsize=14)
plt.tight_layout()
# plt.show()
plt.savefig("graph/theta_plot.eps")