Python Group By: Complete Guide
In Python, group by is a data operation that is used to organize data into groups based on specified columns. It is often used in conjunction with aggregate functions like sum, count, and avg to perform calculations or statistics on each group.
The function of grouping by includes:
- Group the data based on the values of a specific column, creating a collection of data groups. Each group contains data rows that have the same value.
- Aggregation functions, such as sum, count, and average, can be applied to each group to perform calculations or statistics on each group.
- Filter, sort, or perform other data operations on each group to better understand the distribution and characteristics of the data.
By using group by, we can gain a better understanding of the distribution of data, analyze the attributes and features of data, and perform more advanced data processing and analysis.
