Loading this exercise…

Multiple Aggregations On Quantity In Df_order_items

#3 · 3 of 40Free sample

Instructions

Multiple Aggregations On Quantity In Df_order_items

Group df_order_items by 'product_id' and compute the mean, max, and min of 'quantity' in one aggregated table. Then print. This helps see typical quantity per product, plus extremes.

solution.py⌘/Ctrl + Enter

Loading editor…

Sign up to unlock

The reference answer is one attempt away.

Create a free account to save your progress and reveal the worked answer for this free exercise. The complete practice library is available with Practice Pass or Mastery.

Save attempts and completed exercises
Reveal this free exercise's answer after an attempt
Return to your progress from any device
Free forever — no credit card

Create free account →Already a member? Log in →

Sign up to unlock

The reference answer is one attempt away.

Create a free account to save your progress and reveal the worked answer for this free exercise. The complete practice library is available with Practice Pass or Mastery.

Save attempts and completed exercises
Reveal this free exercise's answer after an attempt
Return to your progress from any device
Free forever — no credit card

Create free account →Already a member? Log in →

jNext →

Group Df_products By (Category_id, Product_name) To Find Mean Unit_price

All exercises in Python: Aggregations And Group Operations