What is a groupby operation?

A groupby operation involves some combination of splitting the object, applying a function, and combining the results. This can be used to group large amounts of data and compute operations on these groups. Used to determine the groups for the groupby. If by is a function, it’s called on each value of the object’s index.

What is pandas groupby() function?

2. Pandas groupby () Example As I said above groupby () function returns DataFrameGroupBy object after collecting the identical data into groups from pandas DataFrame. This object contains several methods ( sum (), mean () e.t.c) that can be used to aggregate the grouped rows.

Does groupby split data into separate groups?

GroupBy has conveniently returned a DataFrameGroupBy object. It has split the data into separate groups. However, it won’t do anything unless it is being told explicitly to do so. So, let’s find the count of different outlet location types:

Why do we use groupby concept in data science projects?

In real data science projects, you’ll be dealing with large amounts of data and trying things over and over, so for efficiency, we use Groupby concept. Groupby concept is really important because it’s ability to aggregate data efficiently, both in performance and the amount code is magnificent.