PandasdrillMerge twice, then aggregate
A pandas exercise from Pandasdrill. Solve it with a Python editor in your browser running real pandas, and it is checked the moment you submit.
The task
Compute total spend (`qty * price`) per customer city, using only orders that match both a customer and a product. Return a Series indexed by city.
What this exercise teaches
Each merge adds the columns you need: city from customers and price from products. Inner joins drop orders that cannot be priced or placed, and the groupby sums spend per city.
A hint if you get stuck
Chain two merges, add a spend column, then group by city.
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