Why numpy usage group.agg()?

screen link: https://app.dataquest.io/m/343/data-aggregation/9/introduction-to-the-agg-method
Could somebody explain why we use numpy.mean and numpy.max in Groupby.agg() instead of “max” and “min”?
and What is the difference?
Thank you very much beforehand!

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They both will do the same work.
Accepted Combinations are:

  • string function name
  • function
  • list of functions
  • dict of column names -> functions (or list of functions)

Read more here

More Resources

  1. GroupBy Aggregation
  2. Aggregation api
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Thank you very much again!

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