Boost your exploratory data analysis process

Pandas is a highly popular data analysis and manipulation library. It provides numerous functions to perform efficient data analysis. Furthermore, its syntax is simple and easy-to-understand.

In this article, we focus on a particular function of Pandas, the groupby. It is used to group the data points (i.e. rows) based on the categories or distinct values in a column. We can then calculate a statistic or apply a function on a numerical column with regards to the grouped categories.

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4 Tips to Make the Most of Pandas Groupby Function
1.15 GEEK