22 lines
811 B
Python
22 lines
811 B
Python
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#!/usr/bin/env python3
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import pandas as pd
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import os
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def main():
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dfs = pd.read_csv(os.path.dirname(__file__) + '/metrics/feature_vectors_labeled.csv')
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metrics = ['MTH', 'FLD', 'RFC', 'INT', 'SZ', 'CPX', 'EX', 'RET', 'BCM',
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'NML', 'WRD', 'DCM']
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df = dfs.agg(dict([(m, ['min', 'max', 'mean']) for m in metrics])).reset_index()
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df = pd.melt(df, id_vars=['index'], value_vars=metrics, var_name='metric') \
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.pivot(index='metric', columns=['index'], values=['value']) \
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.reset_index()
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df.columns = sorted([c[1] for c in df.columns])
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df = df.reindex([df.columns[0]] + list(reversed(sorted(df.columns[1:]))), axis=1)
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print(df.to_markdown(index=False))
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print()
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print(dfs.groupby('buggy').count().loc[:, 'class_name'])
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if __name__ == '__main__':
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main()
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