masters-dissertation/results.py

import matplotlib.pyplot as plt
import numpy as np
from utilities.constants import GREEN, WHITE

# winners = []
with open("winners-5.txt", "r") as f:
    winners = f.readlines()

winners = [int(x.strip()) for x in winners]

# lavg = []
# for i in range(0, len(winners), 25):
#     lavg.append(winners[i:i+25].count(2) / 25)
#
# x = np.arange(0, len(lavg))
# y = np.array(lavg) * 100
#
# a, b = np.polyfit(x, y, 1)
#
# fig, ax = plt.subplots(figsize=(10, 5))
# ax.plot(y)
# ax.set_xticks(np.arange(0, len(lavg), 2))
# ax.minorticks_on()
# ax.plot(x, a*x+b, color='red', linestyle='--', linewidth=2)
# ax.set_ylim([0, 100])
# ax.set_title("Winners Average")
# ax.grid(which='major', linestyle='-', linewidth='0.5', color='black')
# ax.grid(which='minor', linestyle=':', linewidth='0.5')
# ax.set_xlabel("Average Set")
# ax.set_ylabel("Percentage of Wins")
# ax.tick_params(which="minor", bottom=False, left=False)
# plt.show()

fig, ax = plt.subplots()
bar = ax.bar(["Draw", "White", "Green"], [winners.count(0), winners.count(WHITE), winners.count(GREEN)])
ax.set(xlabel='Winner', ylabel='Frequency', ylim=[0, 100])
ax.set_title("Winners at Depth 5")
ax.grid(which='major', linestyle='-', linewidth='0.5', color='grey', axis='y')
ax.bar_label(bar)
plt.show()

# with open("trainedRewards.txt", "r") as f:
#     totalReward = f.readlines()
#
# totalReward = [float(x.strip()) for x in totalReward]
# filteredReward = list(filter(lambda x: x > -1500, totalReward))

# change_in_rewards = [0]  # Initialize with 0 for the first episode
# for i in range(1, len(totalReward)):
#     change_in_reward = totalReward[i] - totalReward[i - 1]
#     change_in_rewards.append(change_in_reward)
#
# games = list(range(1, len(totalReward) + 1))

# plt.plot(games, change_in_rewards)
# plt.xlabel('Training Games')
# plt.ylabel('Change in Game Reward')
# plt.title('Change in Game Reward vs. Training Games')
# plt.grid(True)
# plt.show()
# major_ticks = np.arange(0, 101, 20)
# minor_ticks = np.arange(0, 101, 5)
#
# plt.plot([i for i in range(len(totalReward))], totalReward)
# plt.title("Rewards to Games")
# plt.xlabel("Games")
# plt.ylabel("Reward")
# plt.xticks(major_ticks)
# plt.xticks(minor_ticks, minor=True)
# plt.yticks(major_ticks)
# plt.yticks(minor_ticks, minor=True)
# plt.grid(which='both')
# plt.show()
#
# plt.plot([i for i in range(len(filteredReward))], filteredReward)
# plt.title("Filtered Rewards to Games")
# plt.xlabel("Games")
# plt.ylabel("Reward")
# plt.grid(which='both')
# plt.show()