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Title: Mastering Pandas Pivot_table() Function with Multiple Values
Introduction:
The pivot_table() function in the Pandas library is a powerful tool for reshaping and summarizing data in Python. It allows you to create a pivot table that aggregates and transforms your data based on specified parameters. One common error that users encounter is the "TypeError: pivot_table() got multiple values for argument 'values'" issue. In this tutorial, we'll explore how to use pivot_table() effectively, understand the error, and provide solutions with code examples.
The basic syntax of pivot_table() is as follows:
The error occurs when multiple values are passed to the values parameter. In the example above, both 'Score' and 'Name' are specified, triggering the error.
If you want to aggregate multiple columns, create separate pivot tables for each:
Aggregate using groupby() and unstack():
Mastering the pivot_table() function is essential for data manipulation tasks in Python. Understanding the error related to multiple values for 'values' and employing the suggested solutions will help you efficiently pivot and analyze your data.
Now, armed with this knowledge, you can confidently use pivot_table() to reshape your data and gain valuable insights.
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