29 lines
948 B
Python
Executable File
29 lines
948 B
Python
Executable File
import pandas as pd
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import seaborn as sns
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import matplotlib.pyplot as plt
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if __name__ == '__main__':
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data = pd.read_csv('commit_analysis.csv')
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data['type'] = data['is_ml'].apply(lambda x: 'ML' if x else 'No ML')
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ylim = data['file_entropy'].quantile(0.95)
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sns.catplot(x='type', y='file_entropy', kind='box', data=data) \
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.set(title='Entropia del cambiamento calcolata sui file') \
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.set(xlabel='tipo') \
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.set(ylabel='entropia') \
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.set(ylim=(0, ylim))
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plt.tight_layout()
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plt.savefig('../src/figures/files-entropy.pdf')
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plt.close()
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ylim = data['line_entropy'].quantile(0.95)
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sns.catplot(x='type', y='line_entropy', kind='box', data=data) \
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.set(title='Entropia del cambiamento calcolata sulle linee') \
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.set(xlabel='tipo') \
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.set(ylabel='entropia') \
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.set(ylim=(0, ylim))
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plt.tight_layout()
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plt.savefig('../src/figures/lines-entropy.pdf')
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