Reader small image

You're reading from  Extending Excel with Python and R

Product typeBook
Published inApr 2024
PublisherPackt
ISBN-139781804610695
Edition1st Edition
Right arrow
Authors (2):
Steven Sanderson
Steven Sanderson
author image
Steven Sanderson

Steven Sanderson, MPH, is an applications manager for the patient accounts department at Stony Brook Medicine. He received his bachelor's degree in economics and his master's in public health from Stony Brook University. He has worked in healthcare in some capacity for just shy of 20 years. He is the author and maintainer of the healthyverse set of R packages. He likes to read material related to social and labor economics and has recently turned his efforts back to his guitar with the hope that his kids will follow suit as a hobby they can enjoy together.
Read more about Steven Sanderson

David Kun
David Kun
author image
David Kun

David Kun is a mathematician and actuary who has always worked in the gray zone between quantitative teams and ICT, aiming to build a bridge. He is a co-founder and director of Functional Analytics and the creator of the ownR Infinity platform. As a data scientist, he also uses ownR for his daily work. His projects include time series analysis for demand forecasting, computer vision for design automation, and visualization.
Read more about David Kun

View More author details
Right arrow

Creating pivot tables with Python: the basics

Pivot tables are an indispensable tool in the world of data analysis. They provide a dynamic way to summarize, explore, and gain insights from complex datasets. However, when dealing with extensive data, setting up and customizing pivot tables can be a time-consuming and error-prone process, often requiring manual intervention.

In this chapter, we’ll explore how Python, in combination with the win32com and pywin32 libraries, can streamline and automate the creation and management of pivot tables. This powerful combination empowers data analysts and professionals to efficiently process large volumes of data without the need for repetitive, manual tasks.

Imagine being able to create pivot tables, apply advanced calculations, and refresh data with just a few lines of Python code. This is precisely what we aim to achieve in this section. We’ll equip you with the knowledge and tools to harness the full potential of pivot...

lock icon
The rest of the page is locked
Previous PageNext Page
You have been reading a chapter from
Extending Excel with Python and R
Published in: Apr 2024Publisher: PacktISBN-13: 9781804610695

Authors (2)

author image
Steven Sanderson

Steven Sanderson, MPH, is an applications manager for the patient accounts department at Stony Brook Medicine. He received his bachelor's degree in economics and his master's in public health from Stony Brook University. He has worked in healthcare in some capacity for just shy of 20 years. He is the author and maintainer of the healthyverse set of R packages. He likes to read material related to social and labor economics and has recently turned his efforts back to his guitar with the hope that his kids will follow suit as a hobby they can enjoy together.
Read more about Steven Sanderson

author image
David Kun

David Kun is a mathematician and actuary who has always worked in the gray zone between quantitative teams and ICT, aiming to build a bridge. He is a co-founder and director of Functional Analytics and the creator of the ownR Infinity platform. As a data scientist, he also uses ownR for his daily work. His projects include time series analysis for demand forecasting, computer vision for design automation, and visualization.
Read more about David Kun