30 lines
869 B
Python
30 lines
869 B
Python
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import pandas as pd
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import matplotlib.pyplot as plt
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from scipy.cluster.hierarchy import dendrogram, linkage
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# Загрузка данных
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data = pd.read_csv('Current_Pub_Meta.csv')
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# Выбор нужных столбцов
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selected_columns = ['Name', 'Herald Picks', 'Herald Win Rate']
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data = data[selected_columns]
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# Создание матрицы для анализа
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matrix = data.drop('Name', axis=1).values
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# Вычисление матрицы связей
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linked = linkage(matrix, 'ward')
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# Рисование дендрограммы
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plt.figure(figsize=(10, 6))
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dendrogram(linked,
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orientation='top',
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labels=data['Name'].tolist(),
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distance_sort='descending',
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show_leaf_counts=True)
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plt.title('Dendrogram of Hero Win Percentage')
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plt.xlabel('Heroes')
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plt.ylabel('Distance')
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plt.xticks(rotation=90)
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plt.show()
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