Web Reference: While pivot() provides general purpose pivoting with various data types, pandas also provides pivot_table() or pivot_table() for pivoting with aggregation of numeric data. Pandas, a powerful Python library, provides versatile tools for reshaping data, including the use of pivot tables. In this post, we will explore the concepts of pivot tables and reshaping data using the Seaborn's built-in Tips dataset as examples. Reshape Data Using pivot () In Pandas, the pivot() function reshapes data based on column values. It takes simple column-wise data as input, and groups the entries into a two-dimensional table. Let's look at an example.
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