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@ -4,7 +4,8 @@ import yaml
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import matplotlib.pyplot as plt
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import numpy as np
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scores_big =[]
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name = []
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colors = []
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def s_a(n):
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return sum(n)/len(n)
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@ -17,8 +18,23 @@ def mediana(n):
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else:
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return n[0]
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def plot(ax, path, color):
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scores =[]
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def def_file(ax, path, color):
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for filename in sorted(os.listdir(path)):
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file_path = os.path.join(path, filename)
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# Check if it is a file and not a subdirectory
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if os.path.isfile(file_path) and file_path.endswith('.yaml'):
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with open(file_path, 'r', encoding='utf-8') as file:
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data = yaml.load(file, Loader = yaml.Loader)
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#scores.append(data['score'])
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scores.append(data['score']/data['total_time'])
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ax.plot(range(1, len(scores)+1),scores, '.-', label=f"{path.split('/')[-1]}'s scores", color = color)
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ax.plot((1, len(scores)),(s_a(scores), s_a(scores)), '--', label=f"{path.split('/')[-1]}'s mean ({round(s_a(scores), 3)})", color = color)
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ax.plot((1, len(scores)),(mediana(scores), mediana(scores)), ':', label=f"{path.split('/')[-1]}'s mediana ({round(mediana(scores), 3)})", color = color)
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def boxplot(ax, path, color):
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scores =[]
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for filename in sorted(os.listdir(path)):
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@ -27,31 +43,31 @@ def def_file(ax, path, color):
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if os.path.isfile(file_path) and file_path.endswith('.yaml'):
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with open(file_path, 'r', encoding='utf-8') as file:
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data = yaml.load(file, Loader = yaml.Loader)
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scores.append(data['score'])
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#scores.append(data['score']/data['total_time'])
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scores_big.append(scores)
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#scores.append(data['score'])
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scores.append(data['score']/data['total_time'])
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scores_big.append(scores)
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name.append(path.split('/')[-1])
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colors.append(color)
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if __name__ == '__main__':
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fig, ax = plt.subplots()
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def_file(ax, "/home/gestures/Easy_sim/dummy_simulation/stats/Dima", "limegreen")
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def_file(ax, "/home/gestures/Easy_sim/dummy_simulation/stats/Elisey", "red")
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def_file(ax, "/home/gestures/Easy_sim/dummy_simulation/stats/BOBA", "magenta")
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def_file(ax, "/home/gestures/Easy_sim/dummy_simulation/stats/Nika", "pink")
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def_file(ax, "/home/gestures/Easy_sim/dummy_simulation/stats/Sasha", "blue")
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def_file(ax, "/home/gestures/Easy_sim/dummy_simulation/stats/Christine", "blue")
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#print(len(scores_big))
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#plt.boxplotscores_big)
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colors1 = ['lightblue', 'pink', 'lightgreen', 'green', 'red', 'blue']
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name = ['Dima', 'Elisey', 'BOBA', 'Nika', 'Sasha', 'Kristina']
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boxplot(ax, "/home/gestures/Easy_sim/dummy_simulation/stats/Dima", "limegreen")
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boxplot(ax, "/home/gestures/Easy_sim/dummy_simulation/stats/Elisey", "red")
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boxplot(ax, "/home/gestures/Easy_sim/dummy_simulation/stats/BOBA", "magenta")
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boxplot(ax, "/home/gestures/Easy_sim/dummy_simulation/stats/Nika", "pink")
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boxplot(ax, "/home/gestures/Easy_sim/dummy_simulation/stats/Sasha", "orange")
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plot(ax, "/home/gestures/Easy_sim/dummy_simulation/stats/Christine", "blue")
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scores_BIG = ax.boxplot(scores_big, patch_artist=True, tick_labels=name)
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# Применяем цвета к каждому ящику
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for patch, color in zip(scores_BIG['boxes'], colors1):
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for patch, color in zip(scores_BIG['boxes'], colors):
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patch.set_facecolor(color)
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ax.set(xlabel='№', ylabel='score/total_time')
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ax.set(xlabel='№', ylabel='score')
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ax.grid()
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ax.legend()
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ax.set_title("Scores of students in dummy simulation")
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plt.show()
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#path.split('/')[-1]
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