Groupby & Aggregation
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What is Groupby & Aggregation?
groupby() splits a DataFrame into groups based on one or more columns, applies a function to each group, and combines the results. Common aggregation functions include sum(), mean(), count(), min(), max(), and custom functions via agg(). This split-apply-combine pattern is one of the most powerful features of Pandas.
Free resources to learn Groupby & Aggregation
More in stage 7: Reading Local Files
Groupby & Aggregation: common questions
Can I learn Groupby & Aggregation in Hindi?
This lesson is written in English. Once you sign in, open it in the interactive course and ask the AI tutor to explain Groupby & Aggregation in Hindi or Hinglish. The tutor answers from this lesson’s own text, so it stays on the syllabus, and it runs on your own Google, OpenAI or Anthropic key.
Is this Groupby & Aggregation tutorial for beginners?
It is lesson 56 of 112 in the free Python for Data Analysis roadmap, in stage 7, Reading Local Files. If you are new to Python for Data Analysis, start from stage 1 and come back here in order; if you already know the earlier stages, this lesson stands on its own.