What is the difference between groupby and aggregate in Pandas?
An example of an AI chatbot conversation about groupby and aggregate functions in Pandas.
What is the difference between groupby and aggregate in Pandas?
In Pandas, groupby is used to split the data into groups based on some criteria, while aggregate is used to perform a function on those groups.
Can you give me an example of how to use both functions?
Sure! If you have a DataFrame with sales data, you can use groupby to group by 'store' and then use aggregate to sum the sales for each store.
What kind of functions can I use with aggregate?
You can use functions like sum, mean, count, or even custom functions with aggregate.
Is it possible to use multiple aggregation functions at once?
Yes, you can pass a list of functions to aggregate to apply multiple aggregations simultaneously.
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