How can I aggregate data in a DataFrame using Python?
You can use the groupby()
function in pandas to aggregate data. What specific aggregation do you need?
I want to calculate the average sales per product category.
You can do that with: df.groupby('category')['sales'].mean()
. This will give you the average sales for each category.
What if I want to see the total sales instead?
You can use: df.groupby('category')['sales'].sum()
. This will provide the total sales for each category.
Can I aggregate multiple columns at once?
Yes! You can use: df.groupby('category').agg({'sales': 'sum', 'quantity': 'mean'})
to aggregate multiple columns.
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