What are aggregate functions in Pandas?
An example of an AI chatbot conversation about Pandas aggregate functions.
What are aggregate functions in Pandas?
Aggregate functions in Pandas are used to perform operations on a group of data, such as sum, mean, or count.
Can you give me an example of using the groupby method with an aggregate function?
Sure! You can use df.groupby('column_name').agg('sum') to get the sum of values grouped by 'column_name'.
What other aggregate functions can I use with groupby?
You can use functions like 'mean', 'count', 'min', 'max', and even custom functions with agg().
How do I apply multiple aggregate functions at once?
You can pass a list of functions to agg(), like this: df.groupby('column_name').agg(['sum', 'mean', 'count']).
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