Bhavesh Bhatt

Bhavesh Bhatt

GitHub Star ⭐ | Google Develeoper Expert in ML | 40 under 40 Data Scientist

Pandas GroupBy Simplest Example using Python

Pandas dataframe.groupby() function is used to split the data into groups based on some criteria. pandas objects can be split on any of their axes. The abstract definition of grouping is to provide a mapping of labels to group names

One aspect that I’ve recently been exploring is the task of grouping large data frames by different variables, and applying summary functions on each group. This is accomplished in Pandas using the “groupby()” and “agg()” functions of Panda’s DataFrame objects.

In this video, I will try to present a simple example which demonstrates the power of GroupBy function of Pandas!

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