Data Aggregation Grouping(Basictestcases)

Mon 30 June 2025

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 2]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 3]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 4]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 5]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 6]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 7]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 8]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 9]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 10]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 1]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 2]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 3]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 4]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 5]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 6]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 7]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 8]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 9]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 10]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 1]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 2]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 3]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 4]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 5]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 6]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 7]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 8]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 9]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 10]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 1]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 2]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 3]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 4]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 5]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 6]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 7]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 8]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 9]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 10]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 1]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 2]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 3]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 4]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 5]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 6]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 7]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 8]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 9]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 10]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 1]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 2]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 3]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 4]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 5]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 6]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 7]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 8]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 9]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 10]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 1]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 2]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 3]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 4]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 5]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 6]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 7]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 8]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 9]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 10]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 1]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 2]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 3]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 4]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 5]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 6]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 7]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 8]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 9]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 10]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 1]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 2]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 3]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 4]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 5]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 6]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 7]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 8]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 9]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 10]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 1]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 2]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 3]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 4]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 5]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 6]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 7]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 8]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 9]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 10]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 1]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 2]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 3]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 4]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 5]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 6]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 7]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 8]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 9]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 10]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 1]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 2]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 3]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 4]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 5]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 6]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 7]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 8]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 9]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 10]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 1]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 2]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 3]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 4]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 5]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 6]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 7]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 8]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 9]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 10]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 1]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 2]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 3]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 4]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 5]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 6]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 7]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 8]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 9]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 10]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 1]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 2]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 3]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 4]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 5]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 6]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 7]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 8]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 9]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 10]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 1]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 2]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 3]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 4]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 5]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 6]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 7]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 8]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 9]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 10]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 1]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 2]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 3]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 4]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 5]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 6]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 7]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 8]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 9]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 10]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 1]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 2]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 3]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 4]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 5]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 6]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 7]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 8]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 9]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 10]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 1]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 2]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 3]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 4]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 5]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 6]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 7]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 8]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 9]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 10]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 1]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 2]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 3]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 4]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 5]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 6]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 7]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 8]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 9]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 10]})
df.groupby('group').agg(['sum', 'mean'])

import pandas as pd
df = pd.DataFrame({'group': ['A', 'B', 'A', 'B'], 'value': [1, 2, 3, 1]})
df.groupby('group').agg(['sum', 'mean'])

Score: 200

Category: pandas-work