Grouping Data __ Part 2
Explore how to group data in Pandas using groupby and perform aggregations with the agg() interface or native methods. Understand multiple function aggregations, how to select the nth item from groups, and how to iterate over grouped data to analyze your DataFrames effectively.
We'll cover the following...
We'll cover the following...
Aggregate
In the last lesson, we have shown how to use groupby to split data and aggregate them in each group. The group is calculated by various native pandas functions. However, pandas also provides a universal interface, agg(), which accepts a Numpy function name as a parameter.
In the example below, two different ...