Pandas Transform: Preform operations on groups and concatenate the results
Multiple results per group
transform functions that return sub-calculations per group
In the previous example, we had one result per client.
However, functions returning different values for the group can also be applied.
First, Lets create a dummy dataframe
We assume that a customer can have n orders, an order can have m items, and items can be ordered more multiple times
Now, we will use pandas
transform function to count the number of orders per customer
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