python pandas aggregate function

Опубликовано: 11 Октябрь 2024
на канале: CodeLive

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certainly! the aggregate() function in the pandas library is used to perform aggregation operations on a dataframe. it allows users to compute multiple aggregate functions simultaneously, applying them to specific columns or the entire dataframe. this tutorial will cover how to use aggregate() with code examples.
the aggregate() function, also known as agg(), applies one or more aggregation operations to the data. it can take various types of aggregation methods such as mean, sum, count, min, max, custom functions, and more.
let's consider a scenario where we have a sample dataframe containing information about sales data:
let's use aggregate() to find the total sales and average profit for each product:
you can also use custom functions with aggregate():
you can apply multiple aggregation methods simultaneously:
the aggregate() function is versatile and allows you to perform various aggregation operations efficiently on pandas dataframes, making it a powerful tool for data analysis and manipulation in python.
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