How can I perform data aggregation using Pandas?

How can I perform data aggregation using Pandas?

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 by grouping your DataFrame by the product category and then using the mean() function. Here's an example: df.groupby('category')['sales'].mean().

What if I want to aggregate multiple columns?

You can pass a list of columns to the agg() function. For example: df.groupby('category').agg({'sales': 'mean', 'quantity': 'sum'}).

Can I use custom aggregation functions?

Yes, you can define your own function and use it with agg(). Just pass your function as a value in the dictionary.