How to combine Groupby and Multiple Aggregate Functions in Pandas?
Pandas is a Python package that offers various data structures and operations for manipulating numerical data and time series. It is mainly popular for importing and analyzing data much easier. It is an open-source library that is built on top of NumPy library.
dataframe.groupby() function is used to split the data in dataframe into groups based on a given condition.
dataframe.agg() function is used to do one or more operations on data based on specified axis
Using These two functions together: We can find multiple aggregation functions of a particular column grouped by another column.