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# Untitled

a guest Jan 18th, 2019 66 Never
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1. import json
2. from mpl_toolkits.mplot3d import Axes3D
3. from pprint import pprint
4. import matplotlib.pyplot as plt
5. import numpy as np
6. #import pandas as pd
7. import pygal
8.
9. p1_x = []
10. p1_y = []
11. p2_x = []
12. p2_y = []
13.
14. with open('games_results.json', 'r') as f:
15.     file = json.load(f)
16.
17.     dos_1 = list(set([result["player_1"]["minmax_dept_of_search"] for result in file['results']]))
18.     iter_1 = list(set([result["player_1"]["montecarlo_iter_max"] for result in file['results']]))
19.     dos_1.sort()
20.     iter_1.sort()
21.     print(dos_1, iter_1)
22.
23. mc_i1 = []
24. whiteWins = []
25. blackWins = []
26. draw_l = []
27. for iter in iter_1:
28.     a = 0
29.     whitewon, blackwon, draw = 0, 0, 0
30.     for result in file["results"]:
31.         if result["player_1"]["montecarlo_iter_max"] == iter and result["player_1"]["player_type"] == "MonteCarlo" and \
32.                 result["board_size"] == 6 and result["player_2"]["montecarlo_iter_max"] == iter:
33.             if result["winner"] == "White":
34.                 whitewon += 1
35.             elif result["winner"] == "Black":
36.                 blackwon += 1
37.             else:
38.                 draw += 1
39.             a += 1
40.     mc_i1.append(a)
41.     whiteWins.append(whitewon)
42.     blackWins.append(blackwon)
43.     draw_l.append(draw)
44.
45. mc_i2 = []
46. for iter in iter_1:
47.     a = 0
48.     for result in file["results"]:
49.         if result["player_2"]["montecarlo_iter_max"] == iter and result["player_2"]["player_type"] == "MonteCarlo":
50.             a += 1
51.     mc_i2.append(a)
52.
53. # print(mc_i1, mc_i2)
54.
55. print(whiteWins, blackWins, draw_l)
56.
57. ind_1 = [1, 100] + [i*100 for i in range(2, 11, 2)] + [10000]
58. ind = np.arange(len(ind_1))# the x locations for the groups
59. width = 0.35  # the width of the bars: can also be len(x) sequence
60.
61. fig, ax = plt.subplots()
62.
63. p1 = ax.bar(ind, whiteWins, width, color='w', bottom=0)
64. p2 = plt.bar(ind + width, blackWins, width, color='k', bottom=0)
65. p3 = plt.bar(ind + width, draw_l, width, color='b', bottom=0)
66.
67. ax.set_facecolor('g')
68. ax.set_title('Scores by number of simulations (board size 6x6)')
69. ax.set_xticks(ind + width / 2)
70. ax.set_xlabel('Number of simulations')
71. ax.set_ylabel('Number of Wins')
72. ax.set_xticklabels(ind_1)
73. ax.legend((p1[0], p2[0], p3[0]), ('Whites', 'Blacks', "Draws"))
74. # plt.yticks(np.arange(0, 81, 10))
75. #plt.savefig('Summary_SOB=' + str(SOB) + '.png')
76. plt.show()
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