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You're reading from  Extending Excel with Python and R

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

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Advanced options for formatting with Python

The Python section of this chapter is organized into the following three sections:

  • Cell formatting: Cell formatting is crucial for presenting data in a visually appealing and organized manner. We will demonstrate how to apply various formatting styles to cells, such as setting font properties (for example, size, color, bold, and italic), adjusting cell background colors, and aligning text within cells. You will learn how to create professional-looking tables with well-formatted cells that enhance data readability.
  • Conditional formatting: Conditional formatting allows you to dynamically format cells based on specific conditions. We will walk you through the process of applying conditional formatting to highlight important data points, visualize trends, and identify outliers. You will discover how to use pandas and openpyxl to implement various conditional formatting rules, such as color scales, data bars, and icon sets, making...
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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