40 lines
1.4 KiB
Python
40 lines
1.4 KiB
Python
import matplotlib.pyplot as plt
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# Data Processing
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groups = 2
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with open('./good_fortune_data.txt', 'r') as f:
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good_fortune_data = [int(line.split(' ')[1].strip()) for line in f.readlines()]
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good_fortune_data_len = len(good_fortune_data) // groups
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fig, axs = plt.subplots(groups, 1, figsize=(8, 6))
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axs[0].bar(range(good_fortune_data_len), good_fortune_data[:good_fortune_data_len], color='skyblue', edgecolor='black')
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axs[0].set_xlabel("Good Fortune Event Index")
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axs[0].set_ylabel("Occurrences")
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axs[1].bar(range(good_fortune_data_len), good_fortune_data[good_fortune_data_len:], color='skyblue', edgecolor='black')
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axs[1].set_xlabel("Good Fortune Event Index")
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axs[1].set_ylabel("Occurrences")
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plt.tight_layout()
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plt.savefig("../docs/good_fortune_statistics.png")
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with open('./bad_fortune_data.txt', 'r') as f:
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bad_fortune_data = [int(line.split(' ')[1].strip()) for line in f.readlines()]
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bad_fortune_data_len = len(bad_fortune_data) // groups
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fig, axs = plt.subplots(groups, 1, figsize=(8, 6))
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axs[0].bar(range(bad_fortune_data_len), bad_fortune_data[:bad_fortune_data_len], color='skyblue', edgecolor='black')
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axs[0].set_xlabel("Bad Fortune Event Index")
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axs[0].set_ylabel("Occurrences")
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axs[1].bar(range(bad_fortune_data_len), bad_fortune_data[bad_fortune_data_len:], color='skyblue', edgecolor='black')
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axs[1].set_xlabel("Bad Fortune Event Index")
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axs[1].set_ylabel("Occurrences")
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plt.tight_layout()
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plt.savefig("../docs/bad_fortune_statistics.png") |