python pandas groupby sample
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Title: Python Pandas groupby Tutorial with Code Examples
Introduction:
Python's Pandas library provides a powerful and flexible tool called groupby for grouping and aggregating data based on specified criteria. This tutorial will guide you through the usage of the groupby function in Pandas, with practical examples to help you understand its application.
Make sure you have Pandas installed. You can install it using:
The groupby function in Pandas is used to split a DataFrame into groups based on some criteria, apply a function to each group independently, and then combine the results into a new DataFrame.
Let's create a sample DataFrame and explore the groupby function.
In this example, we grouped the DataFrame by the 'Category' column and calculated the mean for each group.
Let's use the groupby function with multiple columns and aggregation methods.
In this example, we grouped the DataFrame by the 'Category' column and calculated both the mean and sum for 'Value1' and 'Value2' columns for each group.
The groupby function in Pandas is a versatile tool for data manipulation, allowing you to efficiently analyze and summarize data based on specific criteria. Experiment with different grouping columns and aggregation methods to gain a deeper understanding of your datasets.
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