pandas. pivot_table (data, values=None, index=None, columns=None, aggfunc='mean', fill_value=None, margins=False, dropna=True, margins_name='All', observed=<no_default>, sort=True) [source] # Create a spreadsheet-style pivot table as a DataFrame.

Apr 28, 2025 · pandas.pivot_table() function allows us to create a pivot table to summarize and aggregate data. This function is important when working with large datasets to analyze and transform data efficiently. In this article, we will see some examples to see how it works.

May 27, 2024 · In this tutorial, you'll learn how to create pivot tables using pandas. You'll explore the key features of DataFrame's pivot_table() method and practice using them to aggregate your data in different ways.

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. The function pivot_table() can be used to create spreadsheet-style pivot tables.

Mar 27, 2023 · In this context, we will explore 11 different ways to create a pivot table in Python using various libraries. These libraries include Pandas, NumPy, PySpark, Dask, Xarray,...

Jan 1, 2023 · The pivot_table() function in Pandas allows us to create a spreadsheet-style pivot table from a DataFrame.

Apr 12, 2020 · Table of Contents. Python Pivot Tables Video Tutorial; How to Build a Pivot Table in Python; Loading a Sample Pandas DataFrame; Creating a Pivot Table in Pandas; Aggregating Only Certain Columns in a Pandas Pivot Table; Working with Aggregation Methods in a Pandas Pivot Table; More Complex Pandas Pivot Tables; Customizing Pandas Pivot Tables

Feb 26, 2025 · In Python, pivot tables can be created and manipulated using libraries such as pandas. This blog post will explore the fundamental concepts of pivot tables in Python, their usage methods, common practices, and best practices.

Apr 24, 2025 · Pandas Pivot Tables are used to create spreadsheet-style pivot tables as a DataFrame. The levels in the pivot table will be stored in MultiIndex objects (hierarchical indexes) on the index and columns of the result DataFrame.

Jan 24, 2025 · Python pivot tables provide a powerful and flexible tool for reshaping and aggregating data. By understanding the fundamental concepts, usage methods, common practices, and best practices of Python pivot tables, you can efficiently analyze and interpret complex datasets.