A Compute Sum of Each Group in Pandas DataFrame?
Code Explanation:
● Library Import: pandas is imported as pd.
● DataFrame Creation: A DataFrame with columns 'Group' and 'Value' is created.
● Grouping: Data is grouped by the 'Group' column.
● Aggregation: The sum of each group is calculated using .sum().
● Store Result: Group-wise sum is stored in group_sum.
● Output Display: Sum values are printed.
Program:
import pandas as pd
df = pd.DataFrame({
'Group': ['A', 'A', 'B', 'B'],
'Value': [10, 20, 30, 40]
})
group_sum = df.groupby('Group')['Value'].sum()
print(group_sum)
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