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28 lines
No EOL
1,000 B
Python
28 lines
No EOL
1,000 B
Python
#!/usr/bin/env python3
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import pandas as pd
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import sys
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from pathlib import Path
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df = pd.read_csv(sys.argv[1])
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df = df.drop(columns=['User', 'Email', 'Billable', 'Tags', 'Amount ()', 'Start time', 'End date', 'End time'])
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df['Duration'] = pd.to_timedelta(df['Duration'])
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df['Start date'] = pd.to_datetime(df['Start date'])
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df['duration_dec'] = df['Duration'].dt.total_seconds() / 3600
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df.rename(columns={
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'Project': 'project',
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'Description': 'description',
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'Start date': 'day',
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'Duration': 'duration'
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}, inplace=True)
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dfg = df.groupby(['project','description','day'], as_index=False).agg({'duration': 'sum'})
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dfg['duration'] = round(dfg['duration'].dt.total_seconds() / 60 / 60, 2)
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print("Total hours are: ", round(dfg['duration'].sum(), 2))
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dfg.to_csv(Path(sys.argv[1]).stem + '-grouped.csv', index=False)
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dfc = dfg.groupby(['project'] , as_index=False).agg({'duration': 'sum'})
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for index, row in dfc.iterrows():
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print(row['project'], str(row['duration']).replace(".",",")) |