Member-only story
Data Science
5 Pandas Group By Tricks You Should Know in Python
All you need to know about Pandas DataFrame Group By to use it efficiently
Pandas Power! 🔋
Pandas is widely used Python library for data analytics projects. However, it is never easy to analyze the data as it is to get valuable insights from it. To understand the data better, you need to transform and aggregate it. And that’s when groupby comes into the picture.
In Pandas, groupby essentially splits all the records from your dataset into different categories or groups and offers you flexibility to analyze the data by these groups.
It is extremely efficient and must know function in data analysis, which gives you interesting insights within few seconds. And that’s why it is usually asked in data science job interviews. Therefore, it is important to master it. 💯
In this article, I am explaining 5 easy pandas groupby tricks with examples, which you must know to perform data analysis efficiently and also to ace an data science interview.
Although the article is short, you are free to navigate to your favorite part with this index and download entire notebook with examples in the end!
∘ How exactly group by works…
