21 lines
511 B
Python
21 lines
511 B
Python
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# Not sure how this will act on a number of machines.
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import pandas as pd
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df = pd.read_csv('results.csv')
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df = df.drop_duplicates()
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df = df.sort_values(by=['Worker ID', 'IP Address'])
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# Group by Worker ID, IP Address, Log File, and Error Type
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df['Error Count'] = 1
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df_grouped = df.groupby(['Worker ID', 'IP Address', 'Log File', 'Error Type'], as_index=False).agg({
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'Error Message': 'first',
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'Error Count': 'sum'
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})
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df_grouped.to_csv('cleaned_results_grouped.csv', index=False)
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print(df_grouped)
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